National Library of Energy BETA

Sample records for networking scientific discovery

  1. Visualizing the Future of Scientific Discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Visualizing the Future of Scientific Discovery Visualizing the Future of Scientific Discovery June 11, 2009 snVolRender-3.png A SUPERNOVA'S VOLUME: This volume rendering of supernova simulation data was generated by running the VisIt application on 32,000 processors on Franklin, a Cray XT4 supercomputer at NERSC. As computational scientists are confronted with increasingly massive datasets from supercomputing simulations and experiments, one of the biggest challenges is having the right tools to

  2. 2006 Department of Energy Strategic Plan - Scientific Discovery...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Plan - Scientific Discovery and Innovation 2006 Department of Energy Strategic Plan - Scientific Discovery and Innovation The United States has always been a Nation of innovators ...

  3. Role of Modeling and Simulation in Scientific Discovery | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Role of Modeling and Simulation in Scientific Discovery Role of Modeling and Simulation in Scientific Discovery January 29, 2013 - 10:14am Addthis Role of Modeling and Simulation in Scientific Discovery What are the key facts? Modeling and simulation supplement theory and experimentation, improving the scientific method. Industry that has embraced modeling and simulation has realized huge savings in cost and time in getting thier products to market. Modeling and simulation should

  4. Accelerating scientific discovery : 2007 annual report.

    SciTech Connect (OSTI)

    Beckman, P.; Dave, P.; Drugan, C.

    2008-11-14

    As a gateway for scientific discovery, the Argonne Leadership Computing Facility (ALCF) works hand in hand with the world's best computational scientists to advance research in a diverse span of scientific domains, ranging from chemistry, applied mathematics, and materials science to engineering physics and life sciences. Sponsored by the U.S. Department of Energy's (DOE) Office of Science, researchers are using the IBM Blue Gene/L supercomputer at the ALCF to study and explore key scientific problems that underlie important challenges facing our society. For instance, a research team at the University of California-San Diego/ SDSC is studying the molecular basis of Parkinson's disease. The researchers plan to use the knowledge they gain to discover new drugs to treat the disease and to identify risk factors for other diseases that are equally prevalent. Likewise, scientists from Pratt & Whitney are using the Blue Gene to understand the complex processes within aircraft engines. Expanding our understanding of jet engine combustors is the secret to improved fuel efficiency and reduced emissions. Lessons learned from the scientific simulations of jet engine combustors have already led Pratt & Whitney to newer designs with unprecedented reductions in emissions, noise, and cost of ownership. ALCF staff members provide in-depth expertise and assistance to those using the Blue Gene/L and optimizing user applications. Both the Catalyst and Applications Performance Engineering and Data Analytics (APEDA) teams support the users projects. In addition to working with scientists running experiments on the Blue Gene/L, we have become a nexus for the broader global community. In partnership with the Mathematics and Computer Science Division at Argonne National Laboratory, we have created an environment where the world's most challenging computational science problems can be addressed. Our expertise in high-end scientific computing enables us to provide guidance for applications

  5. Amplify scientific discovery with artificial intelligence

    SciTech Connect (OSTI)

    Gil, Yolanda; Greaves, Mark T.; Hendler, James; Hirsch, Hyam

    2014-10-10

    Computing innovations have fundamentally changed many aspects of scientific inquiry. For example, advances in robotics, high-end computing, networking, and databases now underlie much of what we do in science such as gene sequencing, general number crunching, sharing information between scientists, and analyzing large amounts of data. As computing has evolved at a rapid pace, so too has its impact in science, with the most recent computing innovations repeatedly being brought to bear to facilitate new forms of inquiry. Recently, advances in Artificial Intelligence (AI) have deeply penetrated many consumer sectors, including for example Apple’s Siri™ speech recognition system, real-time automated language translation services, and a new generation of self-driving cars and self-navigating drones. However, AI has yet to achieve comparable levels of penetration in scientific inquiry, despite its tremendous potential in aiding computers to help scientists tackle tasks that require scientific reasoning. We contend that advances in AI will transform the practice of science as we are increasingly able to effectively and jointly harness human and machine intelligence in the pursuit of major scientific challenges.

  6. 2006 Department of Energy Strategic Plan - Scientific Discovery and

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Innovation | Department of Energy Plan - Scientific Discovery and Innovation 2006 Department of Energy Strategic Plan - Scientific Discovery and Innovation The United States has always been a Nation of innovators and the Department of Energy has been a major contributor to that legacy. DOE-supported basic research has produced Nobel Laureates, numerous paradigm-shifting scientific discoveries, and revolutionary technologies that have spawned entirely new industries. Such breakthroughs have

  7. Advanced Scientific Computing Research Network Requirements

    SciTech Connect (OSTI)

    Bacon, Charles; Bell, Greg; Canon, Shane; Dart, Eli; Dattoria, Vince; Goodwin, Dave; Lee, Jason; Hicks, Susan; Holohan, Ed; Klasky, Scott; Lauzon, Carolyn; Rogers, Jim; Shipman, Galen; Skinner, David; Tierney, Brian

    2013-03-08

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 25 years. In October 2012, ESnet and the Office of Advanced Scientific Computing Research (ASCR) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the ASCR program office. The requirements identified at the review are summarized in the Findings section, and are described in more detail in the body of the report.

  8. DOE Announces $60 Million in Projects to Accelerate Scientific Discovery

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    through Advanced Computing | Department of Energy 0 Million in Projects to Accelerate Scientific Discovery through Advanced Computing DOE Announces $60 Million in Projects to Accelerate Scientific Discovery through Advanced Computing September 7, 2006 - 8:53am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science today announced approximately $60 million in new awards annually for 30 computational science projects over the next three to five years. The projects

  9. U.S.-CERN Agreement Paves Way for New Era of Scientific Discovery...

    Energy Savers

    for renewed collaboration in particle physics, promising to yield new insights into ... scientific discoveries in particle physics and advanced computing. "Society and the ...

  10. Impact of Network Activity Levels on the Performance of Passive Network Service Dependency Discovery

    SciTech Connect (OSTI)

    Carroll, Thomas E.; Chikkagoudar, Satish; Arthur-Durett, Kristine M.

    2015-11-02

    Network services often do not operate alone, but instead, depend on other services distributed throughout a network to correctly function. If a service fails, is disrupted, or degraded, it is likely to impair other services. The web of dependencies can be surprisingly complex---especially within a large enterprise network---and evolve with time. Acquiring, maintaining, and understanding dependency knowledge is critical for many network management and cyber defense activities. While automation can improve situation awareness for network operators and cyber practitioners, poor detection accuracy reduces their confidence and can complicate their roles. In this paper we rigorously study the effects of network activity levels on the detection accuracy of passive network-based service dependency discovery methods. The accuracy of all except for one method was inversely proportional to network activity levels. Our proposed cross correlation method was particularly robust to the influence of network activity. The proposed experimental treatment will further advance a more scientific evaluation of methods and provide the ability to determine their operational boundaries.

  11. Role of Modeling and Simulation in Scientific Discovery | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    method. Addthis Related Articles The ability to do 3D, large-scale simulations of supernovae, such as above, led to the discovery of an entirely new and unexpected explosion...

  12. The Mind Research Network - Mental Illness Neuroscience Discovery Grant

    SciTech Connect (OSTI)

    Roberts, J.; Calhoun, V.

    2013-12-17

    The scientific and technological programs of the Mind Research Network (MRN), reflect DOE missions in basic science and associated instrumentation, computational modeling, and experimental techniques. MRN's technical goals over the course of this project have been to develop and apply integrated, multi-modality functional imaging techniques derived from a decade of DOE-support research and technology development.

  13. On-demand Overlay Networks for Large Scientific Data Transfers

    SciTech Connect (OSTI)

    Ramakrishnan, Lavanya; Guok, Chin; Jackson, Keith; Kissel, Ezra; Swany, D. Martin; Agarwal, Deborah

    2009-10-12

    Large scale scientific data transfers are central to scientific processes. Data from large experimental facilities have to be moved to local institutions for analysis or often data needs to be moved between local clusters and large supercomputing centers. In this paper, we propose and evaluate a network overlay architecture to enable highthroughput, on-demand, coordinated data transfers over wide-area networks. Our work leverages Phoebus and On-demand Secure Circuits and AdvanceReservation System (OSCARS) to provide high performance wide-area network connections. OSCARS enables dynamic provisioning of network paths with guaranteed bandwidth and Phoebus enables the coordination and effective utilization of the OSCARS network paths. Our evaluation shows that this approach leads to improved end-to-end data transfer throughput with minimal overheads. The achievedthroughput using our overlay was limited only by the ability of the end hosts to sink the data.

  14. DOE High Performance Computing Operational Review (HPCOR): Enabling Data-Driven Scientific Discovery at HPC Facilities

    SciTech Connect (OSTI)

    Gerber, Richard; Allcock, William; Beggio, Chris; Campbell, Stuart; Cherry, Andrew; Cholia, Shreyas; Dart, Eli; England, Clay; Fahey, Tim; Foertter, Fernanda; Goldstone, Robin; Hick, Jason; Karelitz, David; Kelly, Kaki; Monroe, Laura; Prabhat,; Skinner, David; White, Julia

    2014-10-17

    U.S. Department of Energy (DOE) High Performance Computing (HPC) facilities are on the verge of a paradigm shift in the way they deliver systems and services to science and engineering teams. Research projects are producing a wide variety of data at unprecedented scale and level of complexity, with community-specific services that are part of the data collection and analysis workflow. On June 18-19, 2014 representatives from six DOE HPC centers met in Oakland, CA at the DOE High Performance Operational Review (HPCOR) to discuss how they can best provide facilities and services to enable large-scale data-driven scientific discovery at the DOE national laboratories. The report contains findings from that review.

  15. Inder Monga Named Director of ESnet, Berkeley Lab's Scientific Networking

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Division Inder Monga Named Director of ESnet, Berkeley Lab's Scientific Networking Division News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Media Jon Bashor, jbashor@lbl.gov, +1 510 486 5849 or Media@es.net Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback:

  16. Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    Changes to proved reserves of U.S. natural gas by source, 2013-14 trillion cubic feet Year-end 2013 2014 Year-end 2014 proved 2014 revisions and 2014 proved Source of natural gas reserves Discoveries other changes production reserves Coalbed methane 12.4 0.4 4.3 -1.4 15.7 Shale 159.1 37.8 16.2 -13.4 199.7 Other U.S. natural gas Lower 48 onshore 166.0 11.4 -8.4 -11.7 157.2 Lower 48 offshore 9.1 0.8 0.8 -1.3 9.4 Alaska 7.4 0.1 -0.4 -0.3 6.8 U.S. TOTAL 354.0 50.5 12.4 -28.1 388.8 Note: Lower 48

  17. A Network Client Using the Gopher Information Discovery Protocol

    Energy Science and Technology Software Center (OSTI)

    1993-10-05

    WSGOPHER uses the protocol known as Gopher, which is described in Internet RFC 1436. Specifically Gopher is a client/server protocol. Gopher servers provide information across the network to Gopher clients. WSGOPHER is an implementation of a Gopher client for Microsoft Windows 3.1 and Windows Sockets version 1.1.

  18. Over 5 million scientific e-prints at E-print network | OSTI, US Dept of

    Office of Scientific and Technical Information (OSTI)

    Energy Office of Scientific and Technical Information 5 million scientific e-prints at E-print network Back to the OSTI News Listing for 2008 Now you can access more than 5 million e-prints at OSTI's E-print Network. The rapidly growing gateway to over 27,850 scientific Web sites and databases worldwide allows free one-stop searching of scientific and technical information created by scientists and research engineers active in their respective fields. E-prints are available in basic and

  19. Search 1.1 million scientific e-prints at OSTI's E-print Network | OSTI,

    Office of Scientific and Technical Information (OSTI)

    US Dept of Energy Office of Scientific and Technical Information 1.1 million scientific e-prints at OSTI's E-print Network Back to the OSTI News Listing for 2007 The network created by scientists for scientists continues to grow. E-print Network provides electronic access to more than 27,000 Web sites and databases worldwide containing 1.1 million e-prints in basic and applied sciences. E-prints are scientific or technical documents circulated electronically to facilitate peer exchange and

  20. Toward a Data Scalable Solution for Facilitating Discovery of Scientific Data Resources

    SciTech Connect (OSTI)

    Chappell, Alan R.; Choudhury, Sutanay; Feo, John T.; Haglin, David J.; Morari, Alessandro; Purohit, Sumit; Schuchardt, Karen L.; Tumeo, Antonino; Weaver, Jesse R.; Villa, Oreste

    2013-11-18

    Science is increasingly motivated by the need to process larger quantities of data. It is facing severe challenges in data collection, management, and processing, so much so that the computational demands of "data scaling" are competing with, and in many fields surpassing, the traditional objective of decreasing processing time. Example domains with large datasets include astronomy, biology, genomic, climate and weather, and material sciences. This paper presents a real-world use case in which we wish to answer queries provided by domain scientists in order to facilitate discovery of relevant science resources. The problem is that the metadata for these science resources is very large and is growing quickly, rapidly increasing the need for a data scaling solution. We propose the use of our SGEM stack -- a system designed for answering graph-based queries over large datasets on cluster architectures -- for answering complex queries over the metadata, and we report early results for our current capability.

  1. National facility for advanced computational science: A sustainable path to scientific discovery

    SciTech Connect (OSTI)

    Simon, Horst; Kramer, William; Saphir, William; Shalf, John; Bailey, David; Oliker, Leonid; Banda, Michael; McCurdy, C. William; Hules, John; Canning, Andrew; Day, Marc; Colella, Philip; Serafini, David; Wehner, Michael; Nugent, Peter

    2004-04-02

    Lawrence Berkeley National Laboratory (Berkeley Lab) proposes to create a National Facility for Advanced Computational Science (NFACS) and to establish a new partnership between the American computer industry and a national consortium of laboratories, universities, and computing facilities. NFACS will provide leadership-class scientific computing capability to scientists and engineers nationwide, independent of their institutional affiliation or source of funding. This partnership will bring into existence a new class of computational capability in the United States that is optimal for science and will create a sustainable path towards petaflops performance.

  2. Exploiting the Use of Social Networking to Facilitate Collaboration in the Scientific Community

    SciTech Connect (OSTI)

    Coppock, Edrick G.

    2014-04-07

    The goal of this project was to exploit social networking to facilitate scientific collaboration. The project objective was to research and identify scientific collaboration styles that are best served by social networking applications and to model the most effective social networking applications to substantiate how social networking can support scientific collaboration. To achieve this goal and objective, the project was to develop an understanding of the types of collaborations conducted by scientific researchers, through classification, data analysis and identification of unique collaboration requirements. Another technical objective in support of this goal was to understand the current state of technology in collaboration tools. In order to test hypotheses about which social networking applications effectively support scientific collaboration the project was to create a prototype scientific collaboration system. The ultimate goal for testing the hypotheses and research of the project was to refine the prototype into a functional application that could effectively facilitate and grow collaboration within the U.S. Department of Energy (DOE) research community.

  3. Applications of Fusion Energy Sciences Research - Scientific Discoveries and New Technologies Beyond Fusion

    SciTech Connect (OSTI)

    Wendt, Amy; Callis, Richard; Efthimion, Philip; Foster, John; Keane, Christopher; Onsager, Terry; O'Shea, Patrick

    2015-09-01

    Since the 1950s, scientists and engineers in the U.S. and around the world have worked hard to make an elusive goal to be achieved on Earth: harnessing the reaction that fuels the stars, namely fusion. Practical fusion would be a source of energy that is unlimited, safe, environmentally benign, available to all nations and not dependent on climate or the whims of the weather. Significant resources, most notably from the U.S. Department of Energy (DOE) Office of Fusion Energy Sciences (FES), have been devoted to pursuing that dream, and significant progress is being made in turning it into a reality. However, that is only part of the story. The process of creating a fusion-based energy supply on Earth has led to technological and scientific achievements of far-reaching impact that touch every aspect of our lives. Those largely unanticipated advances, spanning a wide variety of fields in science and technology, are the focus of this report. There are many synergies between research in plasma physics (the study of charged particles and fluids interacting with self-consistent electric and magnetic fields), high-energy physics, and condensed matter physics dating back many decades. For instance, the formulation of a mathematical theory of solitons, solitary waves which are seen in everything from plasmas to water waves to Bose-Einstein Condensates, has led to an equal span of applications, including the fields of optics, fluid mechanics and biophysics. Another example, the development of a precise criterion for transition to chaos in Hamiltonian systems, has offered insights into a range of phenomena including planetary orbits, two-person games and changes in the weather. Seven distinct areas of fusion energy sciences were identified and reviewed which have had a recent impact on fields of science, technology and engineering not directly associated with fusion energy: Basic plasma science; Low temperature plasmas; Space and astrophysical plasmas; High energy density

  4. An in-depth longitudinal analysis of mixing patterns in a small scientific collaboration network

    SciTech Connect (OSTI)

    Rodriguez, Marko A; Pepe, Alberto

    2009-01-01

    Many investigations of scientific collaboration are based on large-scale statistical analyses of networks constructed from bibliographic repositories. These investigations often rely on a wealth of bibliographic data, but very little or no other information about the individuals in the network, and thus, fail to illustate the broader social and academic landscape in which collaboration takes place. In this article, we perform an in-depth longitudinal analysis of a small-scale network of scientific collaboration (N = 291) constructed from the bibliographic record of a research center involved in the development and application of sensor network technologies. We perform a preliminary analysis of selected structural properties of the network, computing its range, configuration and topology. We then support our preliminary statistical analysis with an in-depth temporal investigation of the assortativity mixing of these node characteristics: academic department, affiliation, position, and country of origin of the individuals in the network. Our qualitative analysis of mixing patterns offers clues as to the nature of the scientific community being modeled in relation to its organizational, disciplinary, institutional, and international arrangements of collaboration.

  5. Accelerating Scientific Discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    taken o Data files created instantly after acquisition (no matter how big) o The ability to reduce a data set post-acquisition in 1 minute o The resources for any user to do ...

  6. Network discovery, characterization, and prediction : a grand challenge LDRD final report.

    SciTech Connect (OSTI)

    Kegelmeyer, W. Philip, Jr.

    2010-11-01

    This report is the final summation of Sandia's Grand Challenge LDRD project No.119351, 'Network Discovery, Characterization and Prediction' (the 'NGC') which ran from FY08 to FY10. The aim of the NGC, in a nutshell, was to research, develop, and evaluate relevant analysis capabilities that address adversarial networks. Unlike some Grand Challenge efforts, that ambition created cultural subgoals, as well as technical and programmatic ones, as the insistence on 'relevancy' required that the Sandia informatics research communities and the analyst user communities come to appreciate each others needs and capabilities in a very deep and concrete way. The NGC generated a number of technical, programmatic, and cultural advances, detailed in this report. There were new algorithmic insights and research that resulted in fifty-three refereed publications and presentations; this report concludes with an abstract-annotated bibliography pointing to them all. The NGC generated three substantial prototypes that not only achieved their intended goals of testing our algorithmic integration, but which also served as vehicles for customer education and program development. The NGC, as intended, has catalyzed future work in this domain; by the end it had already brought in, in new funding, as much funding as had been invested in it. Finally, the NGC knit together previously disparate research staff and user expertise in a fashion that not only addressed our immediate research goals, but which promises to have created an enduring cultural legacy of mutual understanding, in service of Sandia's national security responsibilities in cybersecurity and counter proliferation.

  7. Scientific User Facilities (SUF) Division Homepage | U.S. DOE Office of

    Office of Science (SC) [DOE]

    of Science (SC)

    Research » Scientific Discovery through Advanced Computing (SciDAC) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) Co-Design SciDAC Institutes ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information

  8. Choosing experiments to accelerate collective discovery

    DOE PAGES-Beta [OSTI]

    Rzhetsky, Andrey; Foster, Jacob G.; Foster, Ian T.; Evans, James A.

    2015-11-24

    Scientists perform a tiny subset of all possible experiments. What characterizes the experiments they choose? What are the consequences of those choices for the pace of scientific discovery? We model scientific knowledge as a network and science as a sequence of experiments designed to gradually uncover it. By analyzing millions of biomedical articles published over 30 y, we find that biomedical scientists pursue conservative research strategies exploring the local neighborhood of central, important molecules. Although such strategies probably serve scientific careers, we show that they slow scientific advance, especially in mature fields, where more risk and less redundant experimentation wouldmore » accelerate discovery of the network. Lastly, we also consider institutional arrangements that could help science pursue these more efficient strategies.« less

  9. Choosing experiments to accelerate collective discovery

    SciTech Connect (OSTI)

    Rzhetsky, Andrey; Foster, Jacob G.; Foster, Ian T.; Evans, James A.

    2015-11-24

    Scientists perform a tiny subset of all possible experiments. What characterizes the experiments they choose? What are the consequences of those choices for the pace of scientific discovery? We model scientific knowledge as a network and science as a sequence of experiments designed to gradually uncover it. By analyzing millions of biomedical articles published over 30 y, we find that biomedical scientists pursue conservative research strategies exploring the local neighborhood of central, important molecules. Although such strategies probably serve scientific careers, we show that they slow scientific advance, especially in mature fields, where more risk and less redundant experimentation would accelerate discovery of the network. Lastly, we also consider institutional arrangements that could help science pursue these more efficient strategies.

  10. Network as Discovery Instrument: A Quick-Start Guide (2013 DOE JGI Genomics of Energy and Environment 8th Annual User Meeting)

    SciTech Connect (OSTI)

    Bell, Gregory [Berkeley Lab

    2013-03-01

    Gregory Bell of Berkeley Lab on "Network as discovery instrument: a Quick-Start Guide" at the 8th Annual Genomics of Energy & Environment Meeting in Walnut Creek, Calif.

  11. 2012 Scientific Collaborations at Extreme-Scale | U.S. DOE Office of

    Office of Science (SC) [DOE]

    Science (SC) 2 Scientific Collaborations at Extreme-Scale Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking 2012 Scientific Collaborations at Extreme-Scale Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced

  12. Scientific Grand Challenges: Discovery In Basic Energy Sciences: The Role of Computing at the Extreme Scale - August 13-15, 2009, Washington, D.C.

    SciTech Connect (OSTI)

    Galli, Giulia; Dunning, Thom

    2009-08-13

    The U.S. Department of Energy’s (DOE) Office of Basic Energy Sciences (BES) and Office of Advanced Scientific Computing Research (ASCR) workshop in August 2009 on extreme-scale computing provided a forum for more than 130 researchers to explore the needs and opportunities that will arise due to expected dramatic advances in computing power over the next decade. This scientific community firmly believes that the development of advanced theoretical tools within chemistry, physics, and materials science—combined with the development of efficient computational techniques and algorithms—has the potential to revolutionize the discovery process for materials and molecules with desirable properties. Doing so is necessary to meet the energy and environmental challenges of the 21st century as described in various DOE BES Basic Research Needs reports. Furthermore, computational modeling and simulation are a crucial complement to experimental studies, particularly when quantum mechanical processes controlling energy production, transformations, and storage are not directly observable and/or controllable. Many processes related to the Earth’s climate and subsurface need better modeling capabilities at the molecular level, which will be enabled by extreme-scale computing.

  13. Prior knowledge driven Granger causality analysis on gene regulatory network discovery

    DOE PAGES-Beta [OSTI]

    Yao, Shun; Yoo, Shinjae; Yu, Dantong

    2015-08-28

    Our study focuses on discovering gene regulatory networks from time series gene expression data using the Granger causality (GC) model. However, the number of available time points (T) usually is much smaller than the number of target genes (n) in biological datasets. The widely applied pairwise GC model (PGC) and other regularization strategies can lead to a significant number of false identifications when n>>T. In this study, we proposed a new method, viz., CGC-2SPR (CGC using two-step prior Ridge regularization) to resolve the problem by incorporating prior biological knowledge about a target gene data set. In our simulation experiments, themore » propose new methodology CGC-2SPR showed significant performance improvement in terms of accuracy over other widely used GC modeling (PGC, Ridge and Lasso) and MI-based (MRNET and ARACNE) methods. In addition, we applied CGC-2SPR to a real biological dataset, i.e., the yeast metabolic cycle, and discovered more true positive edges with CGC-2SPR than with the other existing methods. In our research, we noticed a “ 1+1>2” effect when we combined prior knowledge and gene expression data to discover regulatory networks. Based on causality networks, we made a functional prediction that the Abm1 gene (its functions previously were unknown) might be related to the yeast’s responses to different levels of glucose. In conclusion, our research improves causality modeling by combining heterogeneous knowledge, which is well aligned with the future direction in system biology. Furthermore, we proposed a method of Monte Carlo significance estimation (MCSE) to calculate the edge significances which provide statistical meanings to the discovered causality networks. All of our data and source codes will be available under the link https://bitbucket.org/dtyu/granger-causality/wiki/Home.« less

  14. Prior knowledge driven Granger causality analysis on gene regulatory network discovery

    SciTech Connect (OSTI)

    Yao, Shun; Yoo, Shinjae; Yu, Dantong

    2015-08-28

    Our study focuses on discovering gene regulatory networks from time series gene expression data using the Granger causality (GC) model. However, the number of available time points (T) usually is much smaller than the number of target genes (n) in biological datasets. The widely applied pairwise GC model (PGC) and other regularization strategies can lead to a significant number of false identifications when n>>T. In this study, we proposed a new method, viz., CGC-2SPR (CGC using two-step prior Ridge regularization) to resolve the problem by incorporating prior biological knowledge about a target gene data set. In our simulation experiments, the propose new methodology CGC-2SPR showed significant performance improvement in terms of accuracy over other widely used GC modeling (PGC, Ridge and Lasso) and MI-based (MRNET and ARACNE) methods. In addition, we applied CGC-2SPR to a real biological dataset, i.e., the yeast metabolic cycle, and discovered more true positive edges with CGC-2SPR than with the other existing methods. In our research, we noticed a “ 1+1>2” effect when we combined prior knowledge and gene expression data to discover regulatory networks. Based on causality networks, we made a functional prediction that the Abm1 gene (its functions previously were unknown) might be related to the yeast’s responses to different levels of glucose. In conclusion, our research improves causality modeling by combining heterogeneous knowledge, which is well aligned with the future direction in system biology. Furthermore, we proposed a method of Monte Carlo significance estimation (MCSE) to calculate the edge significances which provide statistical meanings to the discovered causality networks. All of our data and source codes will be available under the link https://bitbucket.org/dtyu/granger-causality/wiki/Home.

  15. ESnet: Advanced Networking for Science

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    N E R G Y S C I E N C E S N E T W O R K Researchers around the world using advanced computing for scientific discovery are connected via the DOE-operated Energy Sciences Network (ESnet). By providing a reliable, high-performance communications infrastructure, ESnet facilitates the large-scale, collaborative science endeavors fundamental to Office of Science missions. Energy Sciences Network In many ways, the dramatic achievements of 21st century scientific discovery-often involving enormous data

  16. DOE Launches First Segment of its Next-Generation Nationwide Network to Support Scientific Research Efforts

    Energy.gov [DOE]

    WASHINGTON, DC- The U.S. Department of Energy's (DOE) Office of Science and Internet2 announced today that the first segment of a next-generation, nationwide network has gone live, marking a key...

  17. Advanced Technology & Discovery at Munich | GE Global Research

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Technology & Discovery at Munich Technology & Discovery at Munich Interact with groundbreaking scientific and technological solutions across nearly all industries at GE's hub in ...

  18. Accelerator Modeling for Discovery | Argonne Leadership Computing...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    identified three scientific drivers that require accelerator-based experiments (using the Higgs boson as a new tool for discovery, pursuing the physics associated with neutrino...

  19. BES Science Network Requirements

    SciTech Connect (OSTI)

    Biocca, Alan; Carlson, Rich; Chen, Jackie; Cotter, Steve; Tierney, Brian; Dattoria, Vince; Davenport, Jim; Gaenko, Alexander; Kent, Paul; Lamm, Monica; Miller, Stephen; Mundy, Chris; Ndousse, Thomas; Pederson, Mark; Perazzo, Amedeo; Popescu, Razvan; Rouson, Damian; Sekine, Yukiko; Sumpter, Bobby; Dart, Eli; Wang, Cai-Zhuang -Z; Whitelam, Steve; Zurawski, Jason

    2011-02-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivityfor the US Department of Energy Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of the Office ofScience programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years.

  20. ICSTI08Ses2Warnick.mp4 | OSTI, US Dept of Energy, Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    08 Public Conference Dr. Walter Warnick - WorldWideScience.org Accelerating Global Scientific Discovery

  1. September is Scientific Supercomputing Month

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    is Scientific Supercomputing Month DOE celebrates the science and technology that drive modern discovery September 3, 2013 hopper2cshp.jpg NERSC's flagship Cray XE6 system is...

  2. Quantifying the Digital Divide: A Scientific Overview of Network Connectivity and Grid Infrastructure in South Asian Countries

    SciTech Connect (OSTI)

    Khan, Shahryar Muhammad; Cottrell, R.Les; Kalim, Umar; Ali, Arshad; /NUST, Rawalpindi

    2007-10-30

    The future of Computing in High Energy Physics (HEP) applications depends on both the Network and Grid infrastructure. South Asian countries such as India and Pakistan are making significant progress by building clusters as well as improving their network infrastructure However to facilitate the use of these resources, they need to manage the issues of network connectivity to be among the leading participants in Computing for HEP experiments. In this paper we classify the connectivity for academic and research institutions of South Asia. The quantitative measurements are carried out using the PingER methodology; an approach that induces minimal ICMP traffic to gather active end-to-end network statistics. The PingER project has been measuring the Internet performance for the last decade. Currently the measurement infrastructure comprises of over 700 hosts in more than 130 countries which collectively represents approximately 99% of the world's Internet-connected population. Thus, we are well positioned to characterize the world's connectivity. Here we present the current state of the National Research and Educational Networks (NRENs) and Grid Infrastructure in the South Asian countries and identify the areas of concern. We also present comparisons between South Asia and other developing as well as developed regions. We show that there is a strong correlation between the Network performance and several Human Development indices.

  3. NP Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Rotman, Lauren; Tierney, Brian

    2011-08-26

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. To support SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In August 2011, ESnet and the Office of Nuclear Physics (NP), of the DOE SC, organized a workshop to characterize the networking requirements of the programs funded by NP. The requirements identified at the workshop are summarized in the Findings section, and are described in more detail in the body of the report.

  4. NERSC Partners with Cray, ESnet to Bring Software Defined Networking to

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Cori Partners with Cray, ESnet to Bring Software Defined Networking to Cori NERSC Partners with Cray, ESnet to Bring Software Defined Networking to Cori Highly capable networking 'a critical component' of the science discovery workflow November 1, 2016 Contact: Kathy Kincade, kkincade@lbl.gov, +1 510 495 2124 Detectors and imaging facilities coming online in the next three to five years are expected to produce data in excess of 1 terabyte per second. These scientific data-intensive workloads

  5. A First in Combining Science Discovery Technologies: Federated Search and

    Office of Scientific and Technical Information (OSTI)

    Speech-Indexed Multimedia | OSTI, US Dept of Energy Office of Scientific and Technical Information Office of Scientific & Technical Information NEWS MEDIA CONTACT: Cathey Daniels, (865) 576-9539 FOR IMMEDIATE RELEASE June 8, 2011 A First in Combining Science Discovery Technologies: Federated Search and Speech-Indexed Multimedia Oak Ridge, TN - The DOE Office of Scientific and Technical Information (OSTI) announced today a new tool in scientific discovery technology. Now citizens and

  6. Scientific Process Automation Improves Data Interaction

    SciTech Connect (OSTI)

    Critchlow, Terence J.

    2009-09-30

    This is an article written for the September 09 Scientific Computing magazine about the work of the Scientific Process Automation team of The U.S. Department of Energy (DOE) Scientific Discovery through Advanced Computing (SciDAC) program. The SPA team is focused on developing and deploying automated workflows for a variety of computational science domains. Scientific workflows are the formalization of a scientific process that is frequently and repetitively performed.

  7. Discovery in Action - Pacific Northwest National Laboratory

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Discovery in Action Discovery in Action

  8. Discovery Science

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    universe Discovery Science Since the beginning of civilization, humans have marveled at the night sky and pondered the vast stretches of the universe. The invention of telescopes in the 17th century revealed the first details of the Moon and the planets in our solar system. Four hundred years later, space-based observatories such as NASA's Hubble and Kepler regularly capture amazing vistas of billions of galaxies millions of light years away. Despite these advances, astronomers have only been

  9. Scientific Impact

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    impact Scientific Impact Since its inception over twenty years ago, CAMS has achieved noteworthy scientific progress by developing new capabilities and by combining state-of-the-art tools and expertise to address important scientific challenges. Scientific Leadership CAMS scientists are recognized as scientific leaders in the field of AMS and the disciplines that it supports. Many CAMS staff participate on federal agency (NIH, NSF, NOAA and DOE) scientific review panels as well as giving a

  10. Federated Search | OSTI, US Dept of Energy Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    That's because popular search engines generally cannot search in the deep web where most scientific research results are found. Discovery Tools The deep web is huge - by some ...

  11. Announcements | OSTI, US Dept of Energy Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    Scientific Research Data Now Easier to Find 090711 You Provide the Search Term, Green Energy Portal Provides the Concepts 060811 A First in Combining Science Discovery ...

  12. Advanced Scientific Computing Research

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Advanced Scientific Computing Research Advanced Scientific Computing Research Discovering, developing, and deploying computational and networking capabilities to analyze, model, simulate, and predict complex phenomena important to the Department of Energy. Get Expertise Pieter Swart (505) 665 9437 Email Pat McCormick (505) 665-0201 Email Galen Shipman (505) 665-4021 Email Fulfilling the potential of emerging computing systems and architectures beyond today's tools and techniques to deliver

  13. The Network

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Network Engineering Services The Network Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata IPv6 Network Network Performance Tools The ESnet Engineering Team Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net The Network A Nationwide Platform for Science Discovery The

  14. Microsoft Word - The_Advanced_Networks_and_Services_Underpinning_Modern,Large-Scale_Science.SciDAC.v5.doc

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ESnet4: Advanced Networking and Services Supporting the Science Mission of DOE's Office of Science William E. Johnston ESnet Dept. Head and Senior Scientist Lawrence Berkeley National Laboratory May, 2007 1 Introduction In many ways, the dramatic achievements in scientific discovery through advanced computing and the discoveries of the increasingly large-scale instruments with their enormous data handling and remote collaboration requirements, have been made possible by accompanying

  15. September is Scientific Supercomputing Month

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    September is Scientific Supercomputing Month September is Scientific Supercomputing Month DOE celebrates the science and technology that drive modern discovery September 3, 2013 hopper2cshp.jpg NERSC's flagship Cray XE6 system is called "Hopper" in honor of American computer scientist Grace Murray Hopper. Whether it's building a car battery that will take you 500 miles on a single charge or understanding the impact of Earth's changing climate on agriculture-advanced computing is a

  16. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    DOE PAGES-Beta [OSTI]

    Dart, Eli; Rotman, Lauren; Tierney, Brian; Hester, Mary; Zurawski, Jason

    2014-01-01

    The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centersmore » and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.« less

  17. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    SciTech Connect (OSTI)

    Dart, Eli; Rotman, Lauren; Tierney, Brian; Hester, Mary; Zurawski, Jason

    2013-08-13

    The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centers and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.

  18. Scientific Bio

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Bio Director Deputy Director Leadership Team Advisory Board Directorate Staff Org Chart Navigate Section Director Deputy Director Leadership Team Advisory Board...

  19. Global Discovery introduced at AAAS 2006 | OSTI, US Dept of Energy Office

    Office of Scientific and Technical Information (OSTI)

    of Scientific and Technical Information Discovery introduced at AAAS 2006 Back to the OSTI News Listing for 2006 The Office of Scientific and Technical Information (OSTI) was a key participant in the symposium, Global Discovery on the Internet, at the American Association for the Advancement of Science (AAAS) 2006 Annual Meeting Feb. 16-20 in St. Louis, MO. The symposium introduced Global Discovery, which promises to increase the pace of science by searching all scientific communities at

  20. Scientific Achievement

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    xperimentally o bserved r obust p iezoelectricity in s uspended s ingle m olecular l ayer o f M oS 2 i n atmosphere, the first discovery of such direct conversion b etween e lectricity a nd m echanical stress in free---standing 2D materials. Significance and Impact It p romises n ew a pplicaCons i n n ano---generators a nd low---power l ogic s witches f or c ompuCng s caled down t o a s ingle a tomic u nit c ell. Research Details - Fabricated e lectro---mechanical d evices w ith f ree---

  1. BER Science Network Requirements

    SciTech Connect (OSTI)

    Alapaty, Kiran; Allen, Ben; Bell, Greg; Benton, David; Brettin, Tom; Canon, Shane; Dart, Eli; Cotter, Steve; Crivelli, Silvia; Carlson, Rich; Dattoria, Vince; Desai, Narayan; Egan, Richard; Tierney, Brian; Goodwin, Ken; Gregurick, Susan; Hicks, Susan; Johnston, Bill; de Jong, Bert; Kleese van Dam, Kerstin; Livny, Miron; Markowitz, Victor; McGraw, Jim; McCord, Raymond; Oehmen, Chris; Regimbal, Kevin; Shipman, Galen; Strand, Gary; Flick, Jeff; Turnbull, Susan; Williams, Dean; Zurawski, Jason

    2010-11-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2010 ESnet and the Office of Biological and Environmental Research, of the DOE Office of Science, organized a workshop to characterize the networking requirements of the science programs funded by BER. The requirements identified at the workshop are summarized and described in more detail in the case studies and the Findings section. A number of common themes emerged from the case studies and workshop discussions. One is that BER science, like many other disciplines, is becoming more and more distributed and collaborative in nature. Another common theme is that data set sizes are exploding. Climate Science in particular is on the verge of needing to manage exabytes of data, and Genomics is on the verge of a huge paradigm shift in the number of sites with sequencers and the amount of sequencer data being generated.

  2. Advanced Scientific Computing Research

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Advanced Scientific Computing Research Advanced Scientific Computing Research Discovering, ... The DOE Office of Science's Advanced Scientific Computing Research (ASCR) program ...

  3. Scientific Objective

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Biogenic Aerosols - Effects on Clouds and Climate Scientific Objective Aerosols in the sky are essential to Earth's climate because they can reflect light into space, cooling the atmosphere, or they can combine with other particles to create clouds that have both warming and cooling effects. Biogenic aerosols are emitted by the biosphere directly, or are formed from biogenic volatile gases in gas-to-particle conversion. Examples include dead cells and pollen spores. Boreal forests are among the

  4. OSTI, US Dept of Energy, Office of Scientific and Technical Informatio...

    Office of Scientific and Technical Information (OSTI)

    The DOE Office of Scientific and Technical Information (OSTI) is now registering publicly ... (DOIs), to the individual datasets to aid in citation, discovery, and retrieval. ...

  5. OSTI History | OSTI, US Dept of Energy Office of Scientific and...

    Office of Scientific and Technical Information (OSTI)

    the early days at OSTI. exit federal site Detailed History Video: Sharing Scientific Knowledge, Then and Now Video: Accelerating Science Discovery: From the '40s to the Future ...

  6. OSTI, US Dept of Energy Office of Scientific and Technical Information...

    Office of Scientific and Technical Information (OSTI)

    Scientific discovery and innovation? Nuclear security? DOE has a role in all of these ... at colleges, universities, research facilities and institutions across the nation. ...

  7. Slide10 | OSTI, US Dept of Energy, Office of Scientific and Technical...

    Office of Scientific and Technical Information (OSTI)

    to linking different forms of research output to enhance the scientific discovery process. ... for individual researchers and an open and transparent linking mechanism between ...

  8. Scientific Solutions (TRL 5 6 Component) - Underwater Active Acoustic

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Monitoring Network for Marine and Hydrokinetic Energy | Department of Energy Scientific Solutions (TRL 5 6 Component) - Underwater Active Acoustic Monitoring Network for Marine and Hydrokinetic Energy Scientific Solutions (TRL 5 6 Component) - Underwater Active Acoustic Monitoring Network for Marine and Hydrokinetic Energy Scientific Solutions (TRL 5 6 Component) - Underwater Active Acoustic Monitoring Network for Marine and Hydrokinetic Energy 40_aam_ssi_stein.ppt (4.87 MB) More Documents

  9. Bioenergy Knowledge Discovery Framework (KDF) Fact Sheet

    SciTech Connect (OSTI)

    2013-07-29

    The Bioenergy Knowledge Discovery Framework (KDF) is an online collaboration and geospatial analysis tool that allows researchers, policymakers, and investors to explore and engage the latest bioenergy research. This publication describes how the KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of bioenergy-related information.

  10. Energy Department Requests Proposals for Advanced Scientific Computing

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Research | Department of Energy Advanced Scientific Computing Research Energy Department Requests Proposals for Advanced Scientific Computing Research December 27, 2005 - 4:55pm Addthis WASHINGTON, DC - The Department of Energy's Office of Science and the National Nuclear Security Administration (NNSA) have issued a joint Request for Proposals for advanced scientific computing research. DOE expects to fund $67 million annually for three years to five years under its Scientific Discovery

  11. Data Services | OSTI, US Dept of Energy, Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    DataCite to aid in citation, discovery, retrieval, and reuse. DOIs can be used to search for datasets on a number of OSTI's scientific and technical information database products. ...

  12. Scientific Research Data | OSTI, US Dept of Energy, Office of...

    Office of Scientific and Technical Information (OSTI)

    This web service builds on OSTI scientific research data discovery tools, DOE Data Explorer and SciTech Connect, by providing an easy-to-use mechanism to submit, edit, and retrieve ...

  13. Biological and Environmental Research Network Requirements

    SciTech Connect (OSTI)

    Balaji, V.; Boden, Tom; Cowley, Dave; Dart, Eli; Dattoria, Vince; Desai, Narayan; Egan, Rob; Foster, Ian; Goldstone, Robin; Gregurick, Susan; Houghton, John; Izaurralde, Cesar; Johnston, Bill; Joseph, Renu; Kleese-van Dam, Kerstin; Lipton, Mary; Monga, Inder; Pritchard, Matt; Rotman, Lauren; Strand, Gary; Stuart, Cory; Tatusova, Tatiana; Tierney, Brian; Thomas, Brian; Williams, Dean N.; Zurawski, Jason

    2013-09-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet be a highly successful enabler of scientific discovery for over 25 years. In November 2012, ESnet and the Office of Biological and Environmental Research (BER) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the BER program office. Several key findings resulted from the review. Among them: 1) The scale of data sets available to science collaborations continues to increase exponentially. This has broad impact, both on the network and on the computational and storage systems connected to the network. 2) Many science collaborations require assistance to cope with the systems and network engineering challenges inherent in managing the rapid growth in data scale. 3) Several science domains operate distributed facilities that rely on high-performance networking for success. Key examples illustrated in this report include the Earth System Grid Federation (ESGF) and the Systems Biology Knowledgebase (KBase). This report expands on these points, and addresses others as well. The report contains a findings section as well as the text of the case studies discussed at the review.

  14. Scientific Grand Challenges Workshop Series | U.S. DOE Office of Science

    Office of Science (SC) [DOE]

    (SC) Scientific Grand Challenges Workshop Series Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Featured Content ASCR Discovery ASCR Program Documents ASCR Workshops and Conferences Workshops & Conferences Archive DOE Simulations Summit Scientific Grand Challenges Workshop Series SciDAC Conferences HPC Operations Review

  15. Scientific Discovery with the Blue Gene/L

    SciTech Connect (OSTI)

    Negele, John W.

    2011-12-09

    This project succeeded in developing key software optimization tools to bring fundamental QCD calculations of nucleon structure from the Terascale era through the Petascale era and prepare for the Exascale era. It also enabled fundamental QCD physics calculations and demonstrated the power of placing small versions of frontier emerging architectures at MIT to attract outstanding students to computational science. MIT also hosted a workshop September 19 2008 to brainstorm ways to promote computational science at top tier research universities and attract gifted students into the field, some of whom would provide the next generation of talent at our defense laboratories.

  16. DOE Announces First Awards in Scientific Discovery through Advanced...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... Four projects in high energy and nuclear physics will significantly extend our exploration of the fundamental processes of nature. The projects include the search for the explosion ...

  17. Scientific Discovery through Advanced Computing (SciDAC) | U...

    Office of Science (SC) [DOE]

    energy physics, nuclear physics, astrophysics, material science, chemistry, particle accelerators, biology and the reactive subsurface flow of contaminants through groundwater. ...

  18. DOE Announces First Awards in Scientific Discovery through Advanced

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Energy Technologies: Technology Commercialization Fund Will Support 12 National Labs and 58 Private Sector Partners | Department of Energy Announces $16 Million for 54 Projects to Help Commercialize Promising Energy Technologies: Technology Commercialization Fund Will Support 12 National Labs and 58 Private Sector Partners DOE Announces $16 Million for 54 Projects to Help Commercialize Promising Energy Technologies: Technology Commercialization Fund Will Support 12 National Labs and 58

  19. Scientific Discovery through Advanced Computing (SciDAC-3) Partnership...

    Office of Scientific and Technical Information (OSTI)

    Authors: Hoffman, Forest M. 1 ; Bochev, Pavel B. 2 ; Cameron-Smith, Philip J.. 3 ; Easter, Richard C 4 ; Elliott, Scott M. 5 ; Ghan, Steven J. 4 ; Liu, Xiaohong 6 ; ...

  20. What Are the Computational Keys to Future Scientific Discoveries...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    "Many of the big data challenges that have long existed in the particle and high energy physics world are now percolating other areas of science. At NERSC we've seen an increase in ...

  1. PNNL pushing scientific discovery through data intensive computing breakthroughs

    ScienceCinema (OSTI)

    Deborah Gracio; David Koppenaal; Ruby Leung

    2012-12-31

    The Pacific Northwest National Laboratorys approach to data intensive computing (DIC) is focused on three key research areas: hybrid hardware architectures, software architectures, and analytic algorithms. Advancements in these areas will help to address, and solve, DIC issues associated with capturing, managing, analyzing and understanding, in near real time, data at volumes and rates that push the frontiers of current technologies.

  2. The Greatest Mathematical Discovery?

    SciTech Connect (OSTI)

    Bailey, David H.; Borwein, Jonathan M.

    2010-05-12

    What mathematical discovery more than 1500 years ago: (1) Is one of the greatest, if not the greatest, single discovery in the field of mathematics? (2) Involved three subtle ideas that eluded the greatest minds of antiquity, even geniuses such as Archimedes? (3) Was fiercely resisted in Europe for hundreds of years after its discovery? (4) Even today, in historical treatments of mathematics, is often dismissed with scant mention, or else is ascribed to the wrong source? Answer: Our modern system of positional decimal notation with zero, together with the basic arithmetic computational schemes, which were discovered in India about 500 CE.

  3. ASCR Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian

    2009-08-24

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2009 ESnet and the Office of Advanced Scientific Computing Research (ASCR), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by ASCR. The ASCR facilities anticipate significant increases in wide area bandwidth utilization, driven largely by the increased capabilities of computational resources and the wide scope of collaboration that is a hallmark of modern science. Many scientists move data sets between facilities for analysis, and in some cases (for example the Earth System Grid and the Open Science Grid), data distribution is an essential component of the use of ASCR facilities by scientists. Due to the projected growth in wide area data transfer needs, the ASCR supercomputer centers all expect to deploy and use 100 Gigabit per second networking technology for wide area connectivity as soon as that deployment is financially feasible. In addition to the network connectivity that ESnet provides, the ESnet Collaboration Services (ECS) are critical to several science communities. ESnet identity and trust services, such as the DOEGrids certificate authority, are widely used both by the supercomputer centers and by collaborations such as Open Science Grid (OSG) and the Earth System Grid (ESG). Ease of use is a key determinant of the scientific utility of network-based services. Therefore, a key enabling aspect for scientists beneficial use of high

  4. Materials Discovery | Photovoltaic Research | NREL

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Discovery The National Center for Photovoltaics (NCPV) research in materials discovery serves as a foundation for technological progress in renewable energies. Our experimental ...

  5. NERSC Played Key Role in Nobel Laureate's Discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    NERSC Played Key Role in Nobel Laureate's Discovery NERSC Played Key Role in Nobel Laureate's Discovery NERSC, Berkeley Lab Now Centers for Computational Cosmology Community October 4, 2011 Contact: Jon Bashor, jbashor@lbl.gov, +1 510 486 5849 In the 1990s, Saul Perlmutter discovered that the universe is expanding at an accelerating rate. He confirmed his observational conclusions by running thousands of simulations at the National Energy Research Scientific Computing Center (NERSC) at Lawrence

  6. Scientific Solutions (TRL 5 6 Component) - Underwater Active...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Scientific Solutions (TRL 5 6 Component) - Underwater Active Acoustic Monitoring Network ... CX-009160: Categorical Exclusion Determination EA-1916: Draft Environmental Assessment ...

  7. Decades of Discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Impact: Widely used in molecular genetics and biotechnology, T7 protein expressions systems are noted for their reliability and adaptability. Even gene products that are ...

  8. Discovery of Charm

    DOE R&D Accomplishments [OSTI]

    Goldhaber, G.

    1984-11-01

    In my talk I will cover the period 1973 to 1976 which saw the discoveries of the J/psi and psi' resonances and most of the Psion spectroscopy, the tau lepton and the D0030099,D0015599 charmed meson doublet. Occasionally I will refer briefly to more recent results. Since this conference is on the history of the weak-interactions I will deal primarily with the properties of naked charm and in particular the weakly decaying doublet of charmed mesons. Most of the discoveries I will mention were made with the SLAC-LBL Magnetic Detector or MARK I which we operated at SPEAR from 1973 to 1976.

  9. Machine Learning A Scientific Method

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Machine Learning A Scientific Method or Just a Bag of Tools? Don Hush Machine Learning Team Group CCS-3, Los Alamos National Laboratory Los Alamos National Laboratory LAUR Number 06-2338 - p.1/30 Machine Learning Toolbox Fisher's Linear Discriminant Nearest Neighbor Neural Networks (backprop) Decision Trees (CART, C4.5) Boosting Support Vector Machines K-Means Clustering Principle Component Analysis (PCA) Expectation-Maximization (EM) ... and many more Los Alamos National Laboratory LAUR Number

  10. Scientific Advisory Committee

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Advisory Committee Print The ALS Scientific Advisory Committee (SAC) advises Berkeley Lab and ALS management on issues relating to ALS operations, resource allocation,...

  11. The Opportunity for Global Discovery in Science | OSTI, US Dept of Energy

    Office of Scientific and Technical Information (OSTI)

    Office of Scientific and Technical Information The Opportunity for Global Discovery in Science Back to the OSTI News Listing for 2005 One of the great remaining diffusion challenges is something called global discovery. The problem of global discovery occurs when a scientist needs to look outside of their own research community to solve a problem, and there is no way to tell what other community to search in ... The opportunity exists, therefore, to build a true global search facility. Such

  12. The Opportunity for Global Discovery in Science | OSTI, US Dept of Energy

    Office of Scientific and Technical Information (OSTI)

    Office of Scientific and Technical Information The Opportunity for Global Discovery in Science Back to the OSTI News Listing for 2005 One of the great remaining diffusion challenges is something called global discovery. The problem of global discovery occurs when a scientist needs to look outside of their own research community to solve a problem, and there is no way to tell what other community to search in ... The opportunity exists to build a true global search facility. Such a facility

  13. PNNL: Center for Molecular Electrocatalysis - Scientific Challenges

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Smoke Stack Increased use of fossil fuels is causing rising levels of carbon dioxide and other emissions. Scientific Challenges Demands and emissions: Higher use of non-fossil fuel sources is needed to address rising energy demands and carbon dioxide emissions. So, sustainable alternatives, such as solar, wind, and geothermal power, are being pursued. Discoveries in these areas will make it vital to have a reliable way to store the electrical energy. Storing energy as fuel: Why is storing energy

  14. Index of /documents/public/ScientificWriting

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ScientificWriting

  15. Decades of Discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    1 6/1/2011 2.24 Unraveling the Mystery of High-Temperature Superconductivity Since the discovery in the 1980s of high-temperature superconductors, the Office of Science has supported research designed to explain and improve the physical behavior of these materials and develop methods of making wires and other objects from them. These materials conduct electricity with virtually no resistance at temperatures high enough to be cooled by liquid nitrogen (-196 degrees C, or -321 degrees F) instead

  16. Magellan Explores Cloud Computing for DOE's Scientific Mission

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Explores Cloud Computing for DOE's Scientific Mission Magellan Explores Cloud Computing for DOE's Scientific Mission March 30, 2011 Cloud Control -This is a picture of the Magellan management and network control racks at NERSC. To test cloud computing for scientific capability, NERSC and the Argonne Leadership Computing Facility (ALCF) installed purpose-built testbeds for running scientific applications on the IBM iDataPlex cluster. (Photo Credit: Roy Kaltschmidt) Cloud computing is gaining

  17. Decades of Discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    7 6/1/2011 3.2 Discovery of One of the Smallest Particles of Matter Forces of nature are mediated by the interaction or exchange of particles called bosons. In 1989, experiments at Stanford Linear Accelerator Center and the European Laboratory for Particle Physics (also known as CERN) made precise measurements of the lifetime of the Z0 boson, which carries the "weak force" that allows particles to change form. The experiment was significant because it implied that only three families

  18. LBNL-41172 Discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    41172 Discovery of a Supernova Explosion at Half the Age of the Universe and its Cosmological Implications S. Perlmutter, G. Aldering, M. Della Valle, S. Deustua, R. S. Ellis, S. Fabbro, A. Fruchter, G. Goldhaber, A. Goobar, D. E. Groom, 1. M. Hook, A. G. Kim, M. Y. Kim, R.A. Knop, C. Lidman, R. G. McMahon, P. Nugent, R. Pain, N. Panagia, C. R. Pennypacker, P. Ruiz-Lapuente, B. Schaefer & N. Walton (The Supernova Cosmology Project) This work was supported in part by the Director, Office of

  19. Research & patents generated by Nobel Laureate discovery highlighted at

    Office of Scientific and Technical Information (OSTI)

    OSTI | OSTI, US Dept of Energy Office of Scientific and Technical Information & patents generated by Nobel Laureate discovery highlighted at OSTI Back to the OSTI News Listing for 2007 A discovery in 1988 has yielded not only the 2007 Nobel Prize in Physics, but a birthing of subsequent DOE research and patents now at OSTI. GMR, or Giant Magnetoresistance, is considered an early application in the growing field of nanotechnology. In 1988, Dr. Peter Grünberg of Forschungszentrum Jülich

  20. Edison Electrifies Scientific Computing

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Edison Electrifies Scientific Computing Edison Electrifies Scientific Computing NERSC Flips Switch on New Flagship Supercomputer January 31, 2014 Contact: Margie Wylie, mwylie@lbl.gov, +1 510 486 7421 The National Energy Research Scientific Computing (NERSC) Center recently accepted "Edison," a new flagship supercomputer designed for scientific productivity. Named in honor of American inventor Thomas Alva Edison, the Cray XC30 will be dedicated in a ceremony held at the Department of

  1. OSTI, US Dept of Energy Office of Scientific and Technical Information...

    Office of Scientific and Technical Information (OSTI)

    That now you can learn about OSTI tools and services on our OSTI YouTube site launched in ... exciting scientific discoveries, search tools, and science information of interest to ...

  2. OSTIblog Articles in the International Council for Scientific and Technical

    Office of Scientific and Technical Information (OSTI)

    Information Topic | OSTI, US Dept of Energy Office of Scientific and Technical Information International Council for Scientific and Technical Information Topic OSTI's contribution to international discovery: WorldWideScience.org by Kristin Bingham 03 Apr, 2008 in Products and Content On June 22, 2007, OSTI opened WorldWideScience.org, a global science gateway, to the public. WorldWideScience.org was an ambitious undertaking and OSTI was the perfect organization to take on the technical,

  3. BER Science Network Requirements

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Network Requirements Report of the Biological and Environmental Research Network Requirements Workshop Conducted July 26 and 27, 2007 BER Science Network Requirements Workshop Biological and Environmental Research Program Office, DOE Office of Science Energy Sciences Network Bethesda, MD - July 26 and 27, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is operated by

  4. BES Science Network Requirements

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Network Requirements Report of the Basic Energy Sciences Network Requirements Workshop Conducted June 4-5, 2007 BES Science Network Requirements Workshop Basic Energy Sciences Program Office, DOE Office of Science Energy Sciences Network Washington, DC - June 4 and 5, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is operated by Lawrence Berkeley National Laboratory, which

  5. Global Discovery introduced at AAAS 2006 | OSTI, US Dept of Energy Office

    Office of Scientific and Technical Information (OSTI)

    of Scientific and Technical Information Office of Scientific & Technical Information NEWS MEDIA CONTACT: Cathey Daniels, (865) 576-9539 FOR IMMEDIATE RELEASE February 17, 2006 Global Discovery introduced at AAAS 2006 Oak Ridge, TN - The U.S. Department of Energy Office of Scientific and Technical Information, a component of the Office of Science, is looking at new ways to disseminate science information. As tools and technologies rapidly become more sophisticated, OSTI is conducting

  6. Discoveries | Argonne National Laboratory

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Changes to proved reserves of U.S. natural gas by source, 2013-14 trillion cubic feet Year-end 2013 2014 Year-end 2014 proved 2014 revisions and 2014 proved Source of natural gas reserves Discoveries other changes production reserves Coalbed methane 12.4 0.4 4.3 -1.4 15.7 Shale 159.1 37.8 16.2 -13.4 199.7 Other U.S. natural gas Lower 48 onshore 166.0 11.4 -8.4 -11.7 157.2 Lower 48 offshore 9.1 0.8 0.8 -1.3 9.4 Alaska 7.4 0.1 -0.4 -0.3 6.8 U.S. TOTAL 354.0 50.5 12.4 -28.1 388.8 Note: Lower 48

  7. Scientific Leadership - JCAP

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Leadership Who We Are JCAP Mission JCAP At A Glance Fact Sheets Organizational Chart Recent Science Technology Transfer Awards & Honors Senior Management Scientific Leadership Researchers Governance & Advisory Boards Operations & Administration Who we are Overview JCAP Mission JCAP At A Glance Fact Sheets Organizational Chart Our Achievements Recent Science Technology Transfer Awards & Honors Our People Senior Management Scientific Leadership Researchers Governance

  8. Accelerating Electrolyte Discovery for Energy Storage with High Throughput

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Screening - Joint Center for Energy Storage Research December 26, 2014, Research Highlights Accelerating Electrolyte Discovery for Energy Storage with High Throughput Screening A screening scheme has been developed to down-select molecule candidates based on successive property evaluations obtained from high-throughput computations. Here we show the down-select results for ~1400 candidates for non-aqueous redox flow battery application. Scientific Achievement We have developed a strategy to

  9. Scientific Foundations Mission

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Foundations Mission Investment and Return ITER Project View across the tokamak pit towards the assembly building. June 2016. Photo: ITER Organization Aerial view of the ...

  10. System for Information Discovery

    Energy Science and Technology Software Center (OSTI)

    1998-09-25

    SID characterizes natural language based documents so that they may be related and retrieved based on content similarity. This technology processes textual documents, autonoumsly identifies the major topics of the document set, and constructs an interpretable, high dimensional representation of each document. SID also provides the ability to interactively reweight representations based on user need, so users may analyze the dataset from multiple points of view. The particular advantages SID offers are speed, data compression,more » flexibility in representation, and incremental processing. SPIRE consists of software for visual analysis of text-based information sources. This technology enables users to make discoveries about the content of very large sets of textual documents without requiring the user to read or presort the documents. It employs algorithms for text and word proximity analysis to identify the key themes within the documents. The results of this analysis are projected onto a visual spatial proximity display (Galaxies or Themescape) where document proximity represents the degree of relatedness of theme.« less

  11. FWP Scientific Publications

    Energy.gov [DOE]

    Scientific publications either directly studying former workers in the context of the screening program or recruiting former workers in the program as research participants for scientific studies funded by the National Institutes of Health or other research funding sources are summarized below according to publication date.

  12. A Passion for Discovery

    ScienceCinema (OSTI)

    Peter Freund

    2016-07-12

    The human side of doing theoretical physics is explored through stories about the interactions between physicists and about the way world events can affect not only the scientists' behavior, but even their scientific interests and style.  These stories cluster nicely around certain bigger themes to create an overarching whole.  This happens both on account of some interesting narrative structures intrinsic to the science of Physics itself and on account of the way Physics integrates into the general culture. The stories concern Einstein, Schrödinger, Pauli, Heisenberg, Stueckelberg, Jordan and Fock and also involve some mathematicians like Emmy Noether, Teichmüller and Bers and even the psychologist C.G. Jung.

  13. Network Maps

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Network Maps Engineering Services The Network Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet...

  14. Center for Technology for Advanced Scientific Component Software (TASCS)

    SciTech Connect (OSTI)

    Damevski, Kostadin

    2009-03-30

    A resounding success of the Scientific Discover through Advanced Computing (SciDAC) program is that high-performance computational science is now universally recognized as a critical aspect of scientific discovery [71], complementing both theoretical and experimental research. As scientific communities prepare to exploit unprecedened computing capabilities of emerging leadership-class machines for multi-model simulations at the extreme scale [72], it is more important than ever to address the technical and social challenges of geographically distributed teams that combine expertise in domain science, applied mathematics, and computer science to build robust and flexible codes that can incorporate changes over time. The Center for Technology for Advanced Scientific Component Software (TASCS) tackles these issues by exploiting component-based software development to facilitate collaborative hig-performance scientific computing.

  15. Fermilab | Inquiring Minds | Neutrino | Discovery | Particles...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    | theory | astrophysics | discoveries at Fermilab Discoveries at Fermilab - The Tau Neutrino Neutrino Symbol An international collaboration of scientists at the Department...

  16. Mapping the evolution of scientific ideas

    SciTech Connect (OSTI)

    Roberts, David; Herrera, Mark; Gulbahce, Natali

    2009-01-01

    Despite the apparent conceptual boundaries of scientific fields, a formal description for their evolution is lacking. Here we describe a novel approach to study the dynamics and evolution of scientific fields using a network-based analysis. We build an idea network consisting of American Physical Society PACS numbers as nodes representing scientific concepts. Two PACS numbers are linked if there exist publications that reference them simultaneously. We locate scientific fields using Cfinder, an overlapping community finding algorithm, and describe the time evolution of these fields using a community evolution method over the course of 1985-2006. The communities we identify map to known scientific fields, and their age strongly depends on t.heir size, impact and activity. Our analysis further suggests that communities that redefine themselves by merging and creating new groups of ideas tend to have more fitness as measured by the impact per paper, and hence communities with a higher fitness tend to be short-lived. The described approach to quantify the evolution of ideas may be relevant in making predictions about the future of science and how to guide its development.

  17. OSTI, US Dept of Energy Office of Scientific and Technical Information...

    Office of Scientific and Technical Information (OSTI)

    Michael Nielsenstated that networked science has the potential to speed up dramatically the rate of discovery across all of science, and that we may well see the day-to-day process ...

  18. Materials Discovery | Materials Science | NREL

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Discovery Images of red and yellow particles NREL's research in materials discovery serves as a foundation for technological progress in renewable energies. Our experimental activities in inorganic solid-state materials innovation span a broad range of technological readiness levels-from basic science through applied research to device development-relying on a high-throughput combinatorial materials science approach, followed by traditional targeted experiments. In addition, our researchers work

  19. Translating Discoveries to Market Deployment

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Brookhaven National Laboratory Translating Discoveries to Market Deployment STEAB October 2012 Walter Copan Technology Commercialization and Partnerships wcopan@bnl.gov www.bnl.gov/techtransfer BNL Approach DOE Mission Create discovery to deployment impact Discover the Solutions that Power from interdisciplinary research and Secure America's Future RHIC I, II CFN NSLS I, II, JPSI NY Blue Facilities Science Challenges  Energy Security  Climate Change  Origins of the Universe 

  20. Discovery Acceleration | Argonne National Laboratory

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Research Atomic, Molecular, and Optical Physics Catalysis Discovery Acceleration Electrochemical Energy Storage Gas-Phase Chemical Dynamics Heavy Elements and Separation Sciences Hydrogen and Fuel Cell Materials Interfacial Processes Solar Energy Conversion Discovery Acceleration Argonne staff chemist Magali Ferrandon prepares catalyst samples for testing and evaluation using a robotic platform for high-throughput synthesize of new materials. Argonne scientists employ a wide range of

  1. OSTI, US Dept of Energy Office of Scientific and Technical Information |

    Office of Scientific and Technical Information (OSTI)

    Speeding access to science information from DOE and Beyond World Wide Information: The Other Side of the Coin by Kristin Bingham on Tue, March 29, 2011 Much has been written in this blog about WorldWideScience.org. As regular readers well know, it is a global gateway to scientific and technical databases conceived, developed, and operated by the US Department of Energy's Office of Scientific and Technical Information. WorldWideScience.org accelerates scientific discovery and technological

  2. Discovery of Dark Energy Ushered in a New Era in Computational Cosmology

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Discovery of Dark Energy Ushered in a New Era in Computational Cosmology Discovery of Dark Energy Ushered in a New Era in Computational Cosmology October 4, 2011 John Hules, JAHules@lbl.gov, +1 510 486 6008 "If NERSC does not enable a major scientific discovery every few years, then we're not doing our job." That was the challenge issued by Bill McCurdy, then Lawrence Berkeley National Laboratory's Associate Laboratory Director for Computing Sciences, at the first all-hands meeting for

  3. OSTI Publications, Office of Scientific and Technical Information, USDOE

    Office of Scientific and Technical Information (OSTI)

    Publications May 2010 - Federated search as a transformational technology enabling knowledge discovery: the role of WorldWideScience.org (692-KB PDF), published in: Interlending & Document Supply Vol 38 Issue 2 pp. 82-92 One of the few articles to describe in depth the important work being done by the U.S. Office of Scientific and Technical Information in the field of search and discovery With tools such as Science.gov and WorldWideScience.org, the patron gains access to multiple,

  4. 'Most Influential Scientific Minds'

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Three Los Alamos scientists named 'Most Influential Scientific Minds' July 22, 2014 Aiken, Korber and Perelson spotlighted in Thomson Reuters report LOS ALAMOS, N.M., July 22, 2014-Los Alamos National Laboratory scientists Allison Aiken, Bette Korber and Alan Perelson have been named to Thomson Reuters list of "The World's Most Influential Scientific Minds." "To have three of our premier scientists recognized on this list is a great honor and attests to the intellectual vitality

  5. Scientific Cloud Computing Misconceptions

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Cloud Computing Misconceptions Scientific Cloud Computing Misconceptions July 1, 2011 Part of the Magellan project was to understand both the possibilities and the limitations of cloud computing in the pursuit of science. At a recent conference, Magellan investigator Shane Canon outlined some persistent misconceptions about doing science in the cloud - and what Magellan has taught us about them. » Read the ISGTW story. » Download the slides (PDF, 4.1MB

  6. Awards | U.S. DOE Office of Science (SC)

    Office of Science (SC) [DOE]

    Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced...

  7. Western Michigan University Learner Centered * Discovery Driven * Globally Engaged

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Michigan University Learner Centered * Discovery Driven * Globally Engaged Manufacturing Innovation Institute for Flexible Hybrid Electronics (MII FHE) & Flexible Electronics Applications & Technology (FEAT) Center Dr. Dan Fleming FEAT Faculty Member 2-3 December 2015 * National Network for Manufacturing Innovation (NNMI) 1. Obama Administration program to create Manufacturing Innovation Institutes (MMI) to support growth of advanced manufacturing 2. Seventh MMI announced 28 Aug 15 for

  8. Nuclear Physics Science Network Requirements Workshop, May 2008 - Final Report

    SciTech Connect (OSTI)

    Tierney, Ed., Brian L; Dart, Ed., Eli; Carlson, Rich; Dattoria, Vince; Ernest, Michael; Hitchcock, Daniel; Johnston, William; Kowalski, Andy; Lauret, Jerome; Maguire, Charles; Olson, Douglas; Purschke, Martin; Rai, Gulshan; Watson, Chip; Vale, Carla

    2008-11-10

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States of America. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In May 2008, ESnet and the Nuclear Physics (NP) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the NP Program Office. Most of the key DOE sites for NP related work will require significant increases in network bandwidth in the 5 year time frame. This includes roughly 40 Gbps for BNL, and 20 Gbps for NERSC. Total transatlantic requirements are on the order of 40 Gbps, and transpacific requirements are on the order of 30 Gbps. Other key sites are Vanderbilt University and MIT, which will need on the order of 20 Gbps bandwidth to support data transfers for the CMS Heavy Ion program. In addition to bandwidth requirements, the workshop emphasized several points in regard to science process and collaboration. One key point is the heavy reliance on Grid tools and infrastructure (both PKI and tools such as GridFTP) by the NP community. The reliance on Grid software is expected to increase in the future. Therefore, continued development and support of Grid software is very important to the NP science community. Another key finding is that scientific productivity is greatly enhanced by easy researcher-local access to instrument data. This is driving the creation of distributed repositories for instrument data at collaborating institutions, along with a corresponding increase in demand for network-based data transfers and the tools

  9. Accelerating Science Discovery: From the '40s to the Future | OSTI, US Dept

    Office of Scientific and Technical Information (OSTI)

    of Energy Office of Scientific and Technical Information August 27, 2007 Accelerating Science Discovery: From the '40s to the Future Oak Ridge, TN - It was just over 60 years ago that General Leslie Groves, commanding the Manhattan Engineer District in Oak Ridge, TN, mandated that all classified and unclassified information related to the Atomic Bomb be brought together into one central file. Thus, in 1947, the precursor to the Office of Scientific and Technical Information (OSTI,

  10. Scientific/Techical Report

    SciTech Connect (OSTI)

    Dr. Chris Leighton, Neutron Scattering Society of American; Mr. J. Ardie Dillen, MRS Director of Finance and Administration

    2012-11-07

    The ACNS provides a focal point for the North American neutron user community, strengthening ties within this diverse group, and promoting neutron research in related disciplines. The conference thus serves a dual role as both a national user meeting and a scientific meeting. As a venue for scientific exchange, the ACNS showcases recent results and provides a forum for scientific discussion of neutron-enabled research in fields as diverse as hard and soft condensed matter, liquids, biology, magnetism, engineering materials, chemical spectroscopy, crystal structure, elementary excitations, fundamental physics, and development of neutron instrumentation. This is achieved through a combination of invited oral presentations, contributed oral presentations, and poster sessions. Adequate opportunity for spontaneous discussion and collaboration is also built into the ACNS program in order to foster free exchange of new scientific ideas and the potential for use of powerful neutron scattering methods beyond the current realms of application. The sixth American Conference on Neutron Scattering (ACNS 2012) provided essential information on the breadth and depth of current neutron-related research worldwide. A strong program of plenary, invited and contributed talks showcased recent scientific results in neutron science in a wide range of fields, including soft and hard condensed matter, biology, chemistry, energy and engineering applications, and neutron physics.

  11. Research initiatives for plug-and-play scientific computing.

    SciTech Connect (OSTI)

    McInnes, L. C.; Dahlgren, T.; Nieplocha, J.; Bernholdt, D.; Allan, B.; Armstrong, R.; Chavarria, D.; Elwasif, W.; Gorton, I.; Krishan, M.; Malony, A.; Norris, B.; Ray, J.; Shende, S.; Mathematics and Computer Science; LLNL; PNNL; ORNL; SNL; Univ. of Oregon

    2007-01-01

    This paper introduces three component technology initiatives within the SciDAC Center for Technology for Advanced Scientific Component Software (TASCS) that address ever-increasing productivity challenges in creating, managing, and applying simulation software to scientific discovery. By leveraging the Common Component Architecture (CCA), a new component standard for high-performance scientific computing, these initiatives tackle difficulties at different but related levels in the development of component-based scientific software: (1) deploying applications on massively parallel and heterogeneous architectures, (2) investigating new approaches to the runtime enforcement of behavioral semantics, and (3) developing tools to facilitate dynamic composition, substitution, and reconfiguration of component implementations and parameters, so that application scientists can explore tradeoffs among factors such as accuracy, reliability, and performance.

  12. Center for Technology for Advanced Scientific Component Software (TASCS) Consolidated Progress Report July 2006 - March 2009

    SciTech Connect (OSTI)

    Bernholdt, D E; McInnes, L C; Govindaraju, M; Bramley, R; Epperly, T; Kohl, J A; Nieplocha, J; Armstrong, R; Shasharina, S; Sussman, A L; Sottile, M; Damevski, K

    2009-04-14

    A resounding success of the Scientific Discovery through Advanced Computing (SciDAC) program is that high-performance computational science is now universally recognized as a critical aspect of scientific discovery [71], complementing both theoretical and experimental research. As scientific communities prepare to exploit unprecedented computing capabilities of emerging leadership-class machines for multi-model simulations at the extreme scale [72], it is more important than ever to address the technical and social challenges of geographically distributed teams that combine expertise in domain science, applied mathematics, and computer science to build robust and flexible codes that can incorporate changes over time. The Center for Technology for Advanced Scientific Component Software (TASCS) tackles these issues by exploiting component-based software development to facilitate collaborative high-performance scientific computing.

  13. National Energy Research Scientific Computing Center (NERSC) | U.S. DOE

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Office of Science (SC) National Energy Research Scientific Computing Center (NERSC) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities User Facilities Argonne Leadership Computing Facility (ALCF) Energy Sciences Network (ESnet) National Energy Research Scientific Computing Center (NERSC) Oak Ridge Leadership Computing Facility (OLCF) Accessing ASCR Facilities Computational Science Graduate Fellowship (CSGF) Research & Evaluation Prototypes (REP) Science

  14. Publications about OSTI | OSTI, US Dept of Energy Office of Scientific and

    Office of Scientific and Technical Information (OSTI)

    Technical Information Presentations OSTI Publications Publications about OSTI Publications about OSTI May 2010 Federated search as a transformational technology enabling knowledge discovery: the role of WorldWideScience.org (692-KB PDF), published in: Interlending & Document Supply Vol 38 Issue 2 pp. 82-92 One of the few articles to describe in depth the important work being done by the U.S. Office of Scientific and Technical Information in the field of search and discovery With tools

  15. Bioenergy Knowledge Discovery Framework (KDF)

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    DOE Bioenergy Technologies Office (BETO) 2015 Project Peer Review Bioenergy Knowledge Discovery Framework (KDF) April 1, 2015 Analysis & Sustainability Aaron Myers Oak Ridge National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information Managed by UT-Battelle for the Department of Energy Goal Statement  Creation and enhancement of geo-spatial, temporal decision support system to connect researchers, industry, and sponsors to share

  16. Scientific Exchange Program deadline | Photosynthetic Antenna...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Exchange Program deadline Scientific Exchange Program deadline Applications due February...

  17. Fermilab | Science | Particle Physics | Key Discoveries

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Key Discoveries Fermilab produced its first high-energy particle beam on March 1, 1972. Since then hundreds of experiments have used Fermilab's accelerators to study matter at ever smaller scales and its detectors to study the universe at great distances. Here an overview of the top achievements so far. Discovery of the Higgs boson Discovery of the top quark Discovery of the bottom quark Observation of tau neutrino Discovery of a quasar at a distance of 27 billion light-years Observation of

  18. HEP Science Network Requirements--Final Report

    SciTech Connect (OSTI)

    Bakken, Jon; Barczyk, Artur; Blatecky, Alan; Boehnlein, Amber; Carlson, Rich; Chekanov, Sergei; Cotter, Steve; Cottrell, Les; Crawford, Glen; Crawford, Matt; Dart, Eli; Dattoria, Vince; Ernst, Michael; Fisk, Ian; Gardner, Rob; Johnston, Bill; Kent, Steve; Lammel, Stephan; Loken, Stewart; Metzger, Joe; Mount, Richard; Ndousse-Fetter, Thomas; Newman, Harvey; Schopf, Jennifer; Sekine, Yukiko; Stone, Alan; Tierney, Brian; Tull, Craig; Zurawski, Jason

    2010-04-27

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In August 2009 ESnet and the Office of High Energy Physics (HEP), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by HEP. The International HEP community has been a leader in data intensive science from the beginning. HEP data sets have historically been the largest of all scientific data sets, and the communty of interest the most distributed. The HEP community was also the first to embrace Grid technologies. The requirements identified at the workshop are summarized below, and described in more detail in the case studies and the Findings section: (1) There will be more LHC Tier-3 sites than orginally thought, and likely more Tier-2 to Tier-2 traffic than was envisioned. It it not yet known what the impact of this will be on ESnet, but we will need to keep an eye on this traffic. (2) The LHC Tier-1 sites (BNL and FNAL) predict the need for 40-50 Gbps of data movement capacity in 2-5 years, and 100-200 Gbps in 5-10 years for HEP program related traffic. Other key HEP sites include LHC Tier-2 and Tier-3 sites, many of which are located at universities. To support the LHC, ESnet must continue its collaborations with university and international networks. (3) While in all cases the deployed 'raw' network bandwidth must exceed the user requirements in order to meet the data transfer and reliability requirements, network engineering for trans-Atlantic connectivity

  19. OSTI, US Dept of Energy Office of Scientific and Technical Information |

    Office of Scientific and Technical Information (OSTI)

    Speeding access to science information from DOE and Beyond Why might the critical-point behavior of coauthorship networks be universal? The symmetry group of the associated concept space by Dr. William Watson on Mon, February 01, 2010 In December 2008, Luis Bettencourt and David Kaiser reported their findings[1] from studies of research collaboration networks, which included their discovery that, as coauthorship networks in a particular field reach the point of forming a single giant

  20. Scientific and Organizational Awards | NREL

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific and Organizational Awards NREL's facility and staff are regularly recognized by scientific societies and community and government organizations. Find awards and honors by category below. Scientific and Technical Society Honors and Awards Scientific and technical society fellows are listed below, along with recent awards. American Association for the Advancement of Science 2015 Fellow -Brian Gregg 2014 Fellow - David S. Ginley 2013 Fellow - Martin Keller 2011 Fellow - Stanley Bull 2003

  1. Domain-Specific Languages for Composing Signature Discovery Workflows

    SciTech Connect (OSTI)

    Jacob, Ferosh; Gray, Jeff; Wynne, Adam S.; Liu, Yan; Baker, Nathan A.

    2012-10-23

    Domain-agnostic signature discovery entails investigation across multiple scientific disciplines. The breadth and cross-disciplinary nature of this work requires that existing executables be integrated with new capabilities into workflows, representing a wide range of user tasks. An algorithm may be written in multiple programming languages for various hardware platforms, and so workflow composition requires integrating executables from any number of remote hosts. This raises an engineering issue on how to generate web service wrappers for these heterogeneous executables and to compose them into a scientific workflow environment (e.g., Taverna). In this paper, we introduce two simple Domain-Specific Languages (DSLs) to automate these processes. Our Service Description Language (SDL) describes key elements of a signature discovery service and automatically generates its implementation code. The Workflow Description Language (WDL) describes the pipeline of services and generates deployable artifacts for the Taverna workflow management system. We demonstrate our approach with a real-world workflow composed of services wrapping remote executables.

  2. OSTI, US Dept of Energy Office of Scientific and Technical Information |

    Office of Scientific and Technical Information (OSTI)

    Speeding access to science information from DOE and Beyond org: The Importance of Being Unique by Lorrie Johnson on Tue, October 13, 2009 In a world replete with information sources and options, it is imperative to offer users something unique. WorldWideScience.org (WWS.org), a federated search product that currently provides a single point of access to 61 scientific databases and portals from more than 60 countries, is a remarkably unique scientific discovery tool. Representing more than

  3. ASCR Cybersecurity for Scientific Computing Integrity

    SciTech Connect (OSTI)

    Piesert, Sean

    2015-02-27

    The Department of Energy (DOE) has the responsibility to address the energy, environmental, and nuclear security challenges that face our nation. Much of DOE’s enterprise involves distributed, collaborative teams; a signi¬cant fraction involves “open science,” which depends on multi-institutional, often international collaborations that must access or share signi¬cant amounts of information between institutions and over networks around the world. The mission of the Office of Science is the delivery of scienti¬c discoveries and major scienti¬c tools to transform our understanding of nature and to advance the energy, economic, and national security of the United States. The ability of DOE to execute its responsibilities depends critically on its ability to assure the integrity and availability of scienti¬c facilities and computer systems, and of the scienti¬c, engineering, and operational software and data that support its mission.

  4. Melvin Schwartz and the discovery of the muon neutrino featured at OSTI |

    Office of Scientific and Technical Information (OSTI)

    OSTI, US Dept of Energy Office of Scientific and Technical Information Melvin Schwartz and the discovery of the muon neutrino featured at OSTI Back to the OSTI News Listing for 2010 Discoveries that unleashed new opportunities for research into the innermost structure and dynamics of matter are now featured at the OSTI DOE R&D Accomplishments website. Melvin Schwartz was the co-winner of the 1988 Nobel Prize in Physics "for the neutrino beam method and the demonstration of the

  5. Final Scientific EFNUDAT Workshop

    ScienceCinema (OSTI)

    None

    2016-07-12

    The Final Scientific EFNUDAT Workshop - organized by the CERN/EN-STI group on behalf of n_TOF Collaboration - will be held at CERN, Geneva (Switzerland) from 30 August to 2 September 2010 inclusive.EFNUDAT website: http://www.efnudat.euTopics of interest include: Data evaluationCross section measurementsExperimental techniquesUncertainties and covariancesFission propertiesCurrent and future facilities  International Advisory Committee: C. Barreau (CENBG, France)T. Belgya (IKI KFKI, Hungary)E. Gonzalez (CIEMAT, Spain)F. Gunsing (CEA, France)F.-J. Hambsch (IRMM, Belgium)A. Junghans (FZD, Germany)R. Nolte (PTB, Germany)S. Pomp (TSL UU, Sweden) Workshop Organizing Committee: Enrico Chiaveri (Chairman)Marco CalvianiSamuel AndriamonjeEric BerthoumieuxCarlos GuerreroRoberto LositoVasilis Vlachoudis Workshop Assistant: Géraldine Jean

  6. Final Scientific EFNUDAT Workshop

    ScienceCinema (OSTI)

    None

    2011-10-06

    The Final Scientific EFNUDAT Workshop - organized by the CERN/EN-STI group on behalf of n_TOF Collaboration - will be held at CERN, Geneva (Switzerland) from 30 August to 2 September 2010 inclusive.EFNUDAT website: http://www.efnudat.euTopics of interest include: Data evaluationCross section measurementsExperimental techniquesUncertainties and covariancesFission propertiesCurrent and future facilitiesInternational Advisory Committee: C. Barreau (CENBG, France)T. Belgya (IKI KFKI, Hungary)E. Gonzalez (CIEMAT, Spain)F. Gunsing (CEA, France)F.-J. Hambsch (IRMM, Belgium)A. Junghans (FZD, Germany)R. Nolte (PTB, Germany)S. Pomp (TSL UU, Sweden)Workshop Organizing Committee: Enrico Chiaveri (Chairman)Marco CalvianiSamuel AndriamonjeEric BerthoumieuxCarlos GuerreroRoberto LositoVasilis VlachoudisWorkshop Assistant: Graldine Jean

  7. Final Scientific EFNUDAT Workshop

    ScienceCinema (OSTI)

    None

    2011-10-06

    The Final Scientific EFNUDAT Workshop - organized by the CERN/EN-STI group on behalf of n_TOF Collaboration - will be held at CERN, Geneva (Switzerland) from 30 August to 2 September 2010 inclusive.EFNUDAT website: http://www.efnudat.euTopics of interest include: Data evaluationCross section measurementsExperimental techniquesUncertainties and covariancesFission propertiesCurrent and future facilities  International Advisory Committee: C. Barreau (CENBG, France)T. Belgya (IKI KFKI, Hungary)E. Gonzalez (CIEMAT, Spain)F. Gunsing (CEA, France)F.-J. Hambsch (IRMM, Belgium)A. Junghans (FZD, Germany)R. Nolte (PTB, Germany)S. Pomp (TSL UU, Sweden) Workshop Organizing Committee: Enrico Chiaveri (Chairman)Marco CalvianiSamuel AndriamonjeEric BerthoumieuxCarlos GuerreroRoberto LositoVasilis Vlachoudis Workshop Assistant: Géraldine Jean

  8. A mobile-agent based wireless sensing network for structural...

    Office of Scientific and Technical Information (OSTI)

    Title: A mobile-agent based wireless sensing network for structural health monitoring ... Office of Scientific and Technical Information (OSTI) and is provided as a public service. ...

  9. Flow Batteries Enabled by Nanoscale Percolating Conductor Networks...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    5, 2014, Research Highlights Flow Batteries Enabled by Nanoscale Percolating Conductor Networks Images for Flow Batteries Scientific Achievement Created novel electronically ...

  10. Materials Discovery across Technological Readiness Levels | Materials

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Science | NREL Materials Discovery across Technological Readiness Levels Materials discovery is important across technology readiness levels: basic science, applied research, and device development. Over the past several years, NREL has worked at each of these levels, demonstrating our competence in a broad range of materials discovery problems. Basic Science An image of a triangular diagram with tantalum-cobalt-tin at the top vertex, tantalum at the lower left vertex, and cobalt at the

  11. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  12. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and individuals' data uploads.

  13. Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps and the collections arel growing due to both DOE contributions and data uploads from individuals.

  14. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  15. Scientific Data Management Center for Enabling Technologies

    SciTech Connect (OSTI)

    Vouk, Mladen A.

    2013-01-15

    Managing scientific data has been identified by the scientific community as one of the most important emerging needs because of the sheer volume and increasing complexity of data being collected. Effectively generating, managing, and analyzing this information requires a comprehensive, end-to-end approach to data management that encompasses all of the stages from the initial data acquisition to the final analysis of the data. Fortunately, the data management problems encountered by most scientific domains are common enough to be addressed through shared technology solutions. Based on community input, we have identified three significant requirements. First, more efficient access to storage systems is needed. In particular, parallel file system and I/O system improvements are needed to write and read large volumes of data without slowing a simulation, analysis, or visualization engine. These processes are complicated by the fact that scientific data are structured differently for specific application domains, and are stored in specialized file formats. Second, scientists require technologies to facilitate better understanding of their data, in particular the ability to effectively perform complex data analysis and searches over extremely large data sets. Specialized feature discovery and statistical analysis techniques are needed before the data can be understood or visualized. Furthermore, interactive analysis requires techniques for efficiently selecting subsets of the data. Finally, generating the data, collecting and storing the results, keeping track of data provenance, data post-processing, and analysis of results is a tedious, fragmented process. Tools for automation of this process in a robust, tractable, and recoverable fashion are required to enhance scientific exploration. The SDM center was established under the SciDAC program to address these issues. The SciDAC-1 Scientific Data Management (SDM) Center succeeded in bringing an initial set of advanced

  16. Guide to Scientific Management | Argonne National Laboratory

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Guide to Scientific Management A Practical Guide to Scientifıc Management for Postdocs and New Faculty. PDF icon Guide to Scientific Management second edition.pdf

  17. CNM Scientific Contact List | Argonne National Laboratory

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    CNM Scientific Contact List A list of scientific contacts for the Center for Nanoscale Materials PDF icon CNM Scientific Contact sheet 8_16

  18. Stories of Discovery & Innovation: Scientists Create World's...

    Office of Science (SC) [DOE]

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported by Nanostructures for Electrical Energy Storage (NEES), an EFRC led by Gary Rubloff ...

  19. Stories of Discovery & Innovation: Mimicking Nature Backwards...

    Office of Science (SC) [DOE]

    Stories of Discovery & Innovation: Mimicking Nature Backwards and Forwards Print Text Size: A A A Subscribe FeedbackShare Page Using biology as their blueprint, EFRC researchers ...

  20. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  1. Network Activity

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Statistics Network Activity Network Activity PDSF Network Uplinks to NERSC (dual 10 Gbps) NERSC Uplink to ESnet Last edited: 2011-03-31 22:20:59...

  2. Acquisition of Scientific Equipment

    SciTech Connect (OSTI)

    Noland, Lynn

    2014-05-16

    Whitworth University constructed a 63,00 sq. ft. biology and chemistry building which opened in the Fall of 2011. This project provided for new state-of-the-art science instrumentation enabling Whitworth students to develop skills and knowledge that are directly transferable to practical applications thus enhancing Whitworth student's ability to compete and perform in the scientific workforce. Additionally, STEM faculty undertake outreach programs in the area schools, bringing students to our campus to engage in activities with our science students. The ability to work with insturmentation that is current helps to make science exciting for middle school and high school students and gets them thinking about careers in science. 14 items were purchased following the university's purchasing policy, that benefit instruction and research in the departments of biology, chemistry, and health sciences. They are: Cadaver Dissection Tables with Exhaust Chamber and accessories, Research Microscope with DF DIC, Phase and Fluorescence illumination with DP72 Camera, Microscope with Fluorescence, Microcomputer controlled ultracentrifuge, Ultracentrifuge rotor, Variable Temperature steam pressure sterilizer, Alliance APLC System, DNA Speedvac, Gel Cocumentation System, BioPac MP150, Glovebox personal workstation,Lyophilizer, Nano Drop 2000/2000c Spectrophotometer, C02 Incubator.

  3. Load Balancing Scientific Applications

    SciTech Connect (OSTI)

    Pearce, Olga Tkachyshyn

    2014-12-01

    The largest supercomputers have millions of independent processors, and concurrency levels are rapidly increasing. For ideal efficiency, developers of the simulations that run on these machines must ensure that computational work is evenly balanced among processors. Assigning work evenly is challenging because many large modern parallel codes simulate behavior of physical systems that evolve over time, and their workloads change over time. Furthermore, the cost of imbalanced load increases with scale because most large-scale scientific simulations today use a Single Program Multiple Data (SPMD) parallel programming model, and an increasing number of processors will wait for the slowest one at the synchronization points. To address load imbalance, many large-scale parallel applications use dynamic load balance algorithms to redistribute work evenly. The research objective of this dissertation is to develop methods to decide when and how to load balance the application, and to balance it effectively and affordably. We measure and evaluate the computational load of the application, and develop strategies to decide when and how to correct the imbalance. Depending on the simulation, a fast, local load balance algorithm may be suitable, or a more sophisticated and expensive algorithm may be required. We developed a model for comparison of load balance algorithms for a specific state of the simulation that enables the selection of a balancing algorithm that will minimize overall runtime.

  4. Throwback Thursdays Celebrate Scientific Supercomputing

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Home » News & Publications » News » Center News » Throwback Thursdays Celebrate Scientific Supercomputing Throwback Thursdays Celebrate Scientific Supercomputing A Cray-1 supercomputer arrives at the Magnetic Fusion Energy Computer Center in A Cray-1 supercomputer arrives at the Magnetic Fusion Energy Computer Center in May 1978. The U.S. Department of Energy (DOE) was investing in scientific supercomputing long before the internet became the internet, and back when clouds only came in

  5. OSTI, US Dept of Energy, Office of Scientific and Technical Informatio...

    Office of Scientific and Technical Information (OSTI)

    730,000 e-print documents from scientific Web sites - an increase of 39 percent since January 2005. More than 100,000 documents were added to the network in the past three months. ...

  6. Scientific and Technical Information Management

    Directives, Delegations, and Requirements [Office of Management (MA)]

    2003-10-14

    The Order establishes requirements and responsibilities for managing DOE's scientific and technical information. Cancels DOE O 241.1. Canceled by DOE O 241.1B.

  7. Throwback Thursdays Celebrate Scientific Supercomputing

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Throwback Thursdays Celebrate Scientific Supercomputing A Cray-1 supercomputer arrives at the Magnetic Fusion Energy Computer Center in A Cray-1 supercomputer arrives at the ...

  8. ALS Scientific Advisory Committee Charter

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    would create or appear to create a conflict of interest. *Formerly known as Program Advisory Committee (PAC) (rev. 1 - February 15, 1995) Scientific Advisory Committee...

  9. Enhancing the Impact of Science Data: Toward Data Discovery and Reuse

    SciTech Connect (OSTI)

    Chappell, Alan R.; Weaver, Jesse R.; Purohit, Sumit; Smith, William P.; Schuchardt, Karen L.; West, Patrick; Lee, Benno; Fox, Peter

    2015-06-28

    The amount of data produced in support of scientific research continues to grow rapidly. Despite the accumulation and demand for scientific data, relatively little data are actually made available for the broader scientific community. We surmise that one root of this problem is the perceived difficulty of electronically publishing scientific data and associated metadata in a way that makes it discoverable. We propose exploiting Semantic Web technologies and best practices to make metadata both discoverable and easy to publish. We share experiences in curating metadata to illustrate the cumbersome nature of data reuse in the current research environment. We also make recommendations with a real-world example of how data publishers can provide their metadata by adding limited additional markup to HTML pages on the Web. With little additional effort from data publishers, the difficulty of data discovery, access, and sharing can be greatly reduced and the impact of research data greatly enhanced.

  10. Commentary: The Hash House Harriers and the winding path to materials discovery

    DOE PAGES-Beta [OSTI]

    Canfield, Paul C.

    2015-04-07

    Materials science research can be both very demanding and extremely rewarding. In this Commentary, in my own research of new electronic and magnetic materials, I give numerous exemplars of the path followed to materials discovery. I also highlight the parallels between my research experiences with the pastime of running. I hope that my thoughts will help guide junior researchers along the often tortuous and exciting path to new materials and that I can teach them to be open minded and persistent about following new lines of discovery. “No-pain, no-gain” applies to many things in life, running and scientific research beingmore » just two examples, but I hope in the case of scientific research that I can convince you the gain normally outweighs the pain.« less

  11. Commentary: The Hash House Harriers and the winding path to materials discovery

    SciTech Connect (OSTI)

    Canfield, Paul C.

    2015-04-07

    Materials science research can be both very demanding and extremely rewarding. In this Commentary, in my own research of new electronic and magnetic materials, I give numerous exemplars of the path followed to materials discovery. I also highlight the parallels between my research experiences with the pastime of running. I hope that my thoughts will help guide junior researchers along the often tortuous and exciting path to new materials and that I can teach them to be open minded and persistent about following new lines of discovery. “No-pain, no-gain” applies to many things in life, running and scientific research being just two examples, but I hope in the case of scientific research that I can convince you the gain normally outweighs the pain.

  12. Domain-Specific Languages For Developing and Deploying Signature Discovery Workflows

    SciTech Connect (OSTI)

    Jacob, Ferosh; Wynne, Adam S.; Liu, Yan; Gray, Jeff

    2013-12-02

    Domain-agnostic Signature Discovery entails scientific investigation across multiple domains through the re-use of existing algorithms into workflows. The existing algorithms may be written in any programming language for various hardware architectures (e.g., desktops, commodity clusters, and specialized parallel hardware platforms). This raises an engineering issue in generating Web services for heterogeneous algorithms so that they can be composed into a scientific workflow environment (e.g., Taverna). In this paper, we present our software tool that defines two simple Domain-Specific Languages (DSLs) to automate these processes: SDL and WDL. Our Service Description Language (SDL) describes key elements of a signature discovery algorithm and generates the service code. The Workflow Description Language (WDL) describes the pipeline of services and generates deployable artifacts for the Taverna workflow management system. We demonstrate our tool with a landscape classification example that is represented by BLAST workflows composed of services that wrap original scripts.

  13. OntologicalDiscovery.org: A web resource for the empirical discovery of phenotypic relations across species and experimental systems

    SciTech Connect (OSTI)

    Baker, Erich J; Li, Zuopan; Jay, Jeremy J; Philip, Vivek M; Zhang, Yun; Langston, Michael A; Chesler, Elissa J

    2009-01-01

    The Ontological Discovery Environment ( http://ontologicaldiscovery.org ) is a free, public Internet resource for the storage, sharing, retrieval and analysis of phenotype-centered genomic data sets. The intent of this resource is to allow the creation of user-defined phenotype categories based on naturally and experimentally observed biological networks, pathways and systems rather than on externally manifested constructs and semantics such as disease names and processes. By extracting the relationships of complex processes from the technology that produces those relationships, this resource meets a growing demand for data integration and hypothesis discovery across multiple experimental contexts, including broad species and phenotype domains. At a highly processed level, analyses of set similarity, distance and hierarchical relations are performed through a modular suite of tools. The core pivot point of analysis is the creation of a bipartite network of gene-phenotype relations, a unique discrete graph approach to gene-set analysis which enables set-set matching of non-referential data. The central organizing metaphor of a gene set may be created, stored and curated by individual users, shared among virtual working groups, or made publicly available. Gene sets submission incorporates a variety of accession numbers, microarray feature IDs, and gene symbols from model organisms, allowing integration across experimental platforms, literature reviews and other genomic analyses. The sets themselves are annotated with several levels of metadata which may include an unstructured description, publication information and structured community ontologies for anatomy, process and function. Gene set translation to user chosen reference species through gene homology allows translational comparison of models regardless of the face validity of the experimental systems. In addition, computationally derived gene sets can be integrated into phenome interdependency and similarity

  14. NUG 2013 User Day: Trends, Discovery, and Innovation in High Performance

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Computing Home » For Users » NERSC Users Group » Annual Meetings » NUG 2013 » User Day NUG 2013 User Day: Trends, Discovery, and Innovation in High Performance Computing Wednesday, Feb. 13 Berkeley Lab Building 50 Auditorium Live streaming: http://hosting.epresence.tv/LBL/1.aspx 8:45 - Welcome: Kathy Yelick, Berkeley Lab Associate Director for Computing Sciences Trends 9:00 - The Future of High Performance Scientific Computing, Kathy Yelick, Berkeley Lab Associate Director for Computing

  15. U.S.-CERN Agreement Paves Way for New Era of Scientific Discovery...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Research (CERN) signed today will pave the way for renewed collaboration in particle physics, promising to yield new insights into fundamental particles and the nature of matter...

  16. Superlative Supercomputers: Argonne’s Mira to Accelerate Scientific Discoveries, Societal Benefits

    Energy.gov [DOE]

    With 48,000 nodes, 768 cores and 768 terabytes of memory, Mira will scream at some 10 petaflops per second and help scientists unlock the secrets of supernovae.

  17. Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report

    SciTech Connect (OSTI)

    Hoffman, Forest M.; Bochev, Pavel B.; Cameron-Smith, Philip J..; Easter, Richard C; Elliott, Scott M.; Ghan, Steven J.; Liu, Xiaohong; Lowrie, Robert B.; Lucas, Donald D.; Ma, Po-lun; Sacks, William J.; Shrivastava, Manish; Singh, Balwinder; Tautges, Timothy J.; Taylor, Mark A.; Vertenstein, Mariana; Worley, Patrick H.

    2014-01-15

    The Applying Computationally Efficient Schemes for BioGeochemical Cycles ACES4BGC Project is advancing the predictive capabilities of Earth System Models (ESMs) by reducing two of the largest sources of uncertainty, aerosols and biospheric feedbacks, with a highly efficient computational approach. In particular, this project is implementing and optimizing new computationally efficient tracer advection algorithms for large numbers of tracer species; adding important biogeochemical interactions between the atmosphere, land, and ocean models; and applying uncertainty quanti cation (UQ) techniques to constrain process parameters and evaluate uncertainties in feedbacks between biogeochemical cycles and the climate system.

  18. U.S.-CERN Agreement Paves Way for New Era of Scientific Discovery

    Office of Science (SC) [DOE]

    to yield new insights into fundamental particles and the nature of matter and our universe. The agreement, signed in a White House ceremony by the U.S. Department of Energy,...

  19. Scientific documentary animation: How much accuracy is enough

    SciTech Connect (OSTI)

    Max, N.L.

    1992-02-06

    Scientific documentary animation presents final results, and thus has a somewhat different purpose than the scientific visualization used in their discovery. For an audience of non-specialists, production quality in the graphics, pacing, narration, music, and story-telling are important. However, the animation need only be qualitatively correct in order to communicate the desired information. When physical simulations are used to produce animated movement, the laws of motion can be adjusted to give a nicer appearance, to allow for easier programming, to compensate for incompatible time or size scales, or to artifically push things in a desired direction. Graphic tricks may even be used to disguise inadequacies in the simulation. Biological structures which are not yet completely understood may be given an arbitrary or approximate form in order to show their function. But in illustrating mathematics, it is often easy to be completely accurate.

  20. Scientific documentary animation: How much accuracy is enough?

    SciTech Connect (OSTI)

    Max, N.L.

    1992-02-06

    Scientific documentary animation presents final results, and thus has a somewhat different purpose than the scientific visualization used in their discovery. For an audience of non-specialists, production quality in the graphics, pacing, narration, music, and story-telling are important. However, the animation need only be qualitatively correct in order to communicate the desired information. When physical simulations are used to produce animated movement, the laws of motion can be adjusted to give a nicer appearance, to allow for easier programming, to compensate for incompatible time or size scales, or to artifically push things in a desired direction. Graphic tricks may even be used to disguise inadequacies in the simulation. Biological structures which are not yet completely understood may be given an arbitrary or approximate form in order to show their function. But in illustrating mathematics, it is often easy to be completely accurate.

  1. FES Science Network Requirements - Report of the Fusion Energy Sciences Network Requirements Workshop Conducted March 13 and 14, 2008

    SciTech Connect (OSTI)

    Tierney, Brian; Dart, Eli; Tierney, Brian

    2008-07-10

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States of America. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In March 2008, ESnet and the Fusion Energy Sciences (FES) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the FES Program Office. Most sites that conduct data-intensive activities (the Tokamaks at GA and MIT, the supercomputer centers at NERSC and ORNL) show a need for on the order of 10 Gbps of network bandwidth for FES-related work within 5 years. PPPL reported a need for 8 times that (80 Gbps) in that time frame. Estimates for the 5-10 year time period are up to 160 Mbps for large simulations. Bandwidth requirements for ITER range from 10 to 80 Gbps. In terms of science process and collaboration structure, it is clear that the proposed Fusion Simulation Project (FSP) has the potential to significantly impact the data movement patterns and therefore the network requirements for U.S. fusion science. As the FSP is defined over the next two years, these changes will become clearer. Also, there is a clear and present unmet need for better network connectivity between U.S. FES sites and two Asian fusion experiments--the EAST Tokamak in China and the KSTAR Tokamak in South Korea. In addition to achieving its goal of collecting and characterizing the network requirements of the science endeavors funded by the FES Program Office, the workshop emphasized that there is a need for research into better ways of conducting remote

  2. Design, Discovery and Growth of Novel Materials For Basic Research: An Urgent U.S. Need Report on the DOE/BES Workshop: “Future Directions of Design, Discovery and Growth of Single Crystals for Basic Research”

    SciTech Connect (OSTI)

    Canfield, Paul

    2003-10-10

    The design, discovery and growth of novel materials, especially in single crystal form, represents a national core competency that is essential for scientific progress and long-term economic growth. Indeed, many of the major discoveries of condensed matter science during the last fifty years have been made possible by the discovery of new materials. Recently revealed phenomena such as high Tc superconductivity and the quantum Hall effect, for example, represent new states of matter that emerge from the collective behavior of large numbers of electronic, magnetic and lattice degrees of freedom. Such materials challenge our fundamental understanding of matter and provide novel materials functionality. New materials also lie at the core of many new and existing technologies, such as semiconductor electronics, solid state lasers, radiation detectors, compact disk storage, both cellular and optical communications, solar cells, fuel cells and catalysts. Such materials further hold the promise for new technologies ranging from efficient indoor and traffic lighting, to multi-component data storage, integrated bioelectronic sensors, and thermoelectric power generation. Single crystals are often required to achieve a materials’ full functionality as well as to completely elucidate its properties. A Department-of-Energy-sponsored workshop was held on Oct. 10-12, 2003 in Ames, Iowa with the purpose of assessing the state of novel materials and crystal growth in the U.S. Leaders of broad areas of synthesis and condensed matter science reviewed present U.S. strengths, levels of support, and competition from abroad. The principal finding of the workshop is that the current U.S. infrastructure and personnel levels are insufficient to meet the growing demand for high quality, specialized samples, and to maintain international competitiveness in an area vital to the nation’s condensed matter science enterprise. We further risk being unable to fully exploit the nation’s world

  3. Scientific Visualization, Seeing the Unseeable

    ScienceCinema (OSTI)

    LBNL

    2016-07-12

    June 24, 2008 Berkeley Lab lecture: Scientific visualization transforms abstract data into readily comprehensible images, provide a vehicle for "seeing the unseeable," and play a central role in bo... June 24, 2008 Berkeley Lab lecture: Scientific visualization transforms abstract data into readily comprehensible images, provide a vehicle for "seeing the unseeable," and play a central role in both experimental and computational sciences. Wes Bethel, who heads the Scientific Visualization Group in the Computational Research Division, presents an overview of visualization and computer graphics, current research challenges, and future directions for the field.

  4. Scientific Advisory Committee | Photosynthetic Antenna Research Center

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Advisory Committee Scientific Advisory Committee Gary Brudvig Scientific Advisory Committee Member E-mail: gary.brudvig@yale.edu J. Clark Lagarias Scientific Advisory Committee Member E-mail: jclagarias@ucdavis.edu Thomas Moore Thomas Moore Scientific Advisory Committee Chair E-mail: tom.moore@asu.edu Phone: 480.965.3308 Jennifer Ogilvie Scientific Advisory Committee Member E-mail: jogilvie@umich.edu Marion Thurnauer Marion Thurnauer Scientific Advisory Committee Member E-mail:

  5. XVis: Visualization for the Extreme-Scale Scientific-Computation Ecosystem: Year-end report FY15 Q4.

    SciTech Connect (OSTI)

    Moreland, Kenneth D.; Sewell, Christopher; Childs, Hank; Ma, Kwan-Liu; Geveci, Berk; Meredith, Jeremy

    2015-12-01

    The XVis project brings together the key elements of research to enable scientific discovery at extreme scale. Scientific computing will no longer be purely about how fast computations can be performed. Energy constraints, processor changes, and I/O limitations necessitate significant changes in both the software applications used in scientific computation and the ways in which scientists use them. Components for modeling, simulation, analysis, and visualization must work together in a computational ecosystem, rather than working independently as they have in the past. This project provides the necessary research and infrastructure for scientific discovery in this new computational ecosystem by addressing four interlocking challenges: emerging processor technology, in situ integration, usability, and proxy analysis.

  6. Materials Design and Discovery: Catalysis and Energy Storage...

    Office of Scientific and Technical Information (OSTI)

    Materials Design and Discovery: Catalysis and Energy Storage (Mira Early Science Program ... Citation Details In-Document Search Title: Materials Design and Discovery: Catalysis and ...

  7. Virginia Dry Natural Gas Reserves New Field Discoveries (Billion...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Field Discoveries (Billion Cubic Feet) Virginia Dry Natural Gas Reserves New Field ... New Field Discoveries of Dry Natural Gas Reserves Virginia Dry Natural Gas Proved Reserves ...

  8. West Virginia Dry Natural Gas Reserves New Field Discoveries...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Field Discoveries (Billion Cubic Feet) West Virginia Dry Natural Gas Reserves New ... New Field Discoveries of Dry Natural Gas Reserves West Virginia Dry Natural Gas Proved ...

  9. Flow cytometry aids basic cell biology research and drug discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Flow cytometry aids basic cell biology research and drug discovery Flow cytometry aids basic cell biology research and drug discovery Life Technologies Corporation and LANL have ...

  10. NERSC User Day February 13 - Trends, Discovery, and Innovation...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Day February 13 - Trends, Discovery, and Innovation in HPC NERSC User Day February 13 - Trends, Discovery, and Innovation in HPC February 10, 2013 by Francesca Verdier All members ...

  11. Caltech researchers make discovery that hints at origin of phenomenon...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Caltech researchers make discovery that hints at origin of phenomenon like solar flares American Fusion News Category: U.S. Universities Link: Caltech researchers make discovery...

  12. Kansas Dry Natural Gas Reserves New Field Discoveries (Billion...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Field Discoveries (Billion Cubic Feet) Kansas Dry Natural Gas Reserves New Field ... New Field Discoveries of Dry Natural Gas Reserves Kansas Dry Natural Gas Proved Reserves ...

  13. Kansas Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Kansas Dry Natural Gas New ... Dry Natural Gas New Reservoir Discoveries in Old Fields Kansas Dry Natural Gas Proved ...

  14. Stories of Discovery & Innovation: Beyond the Transistor | U...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Publications History Contact BES Home 10.12.11 Stories of Discovery & Innovation: Beyond ... This work, featured in the Office of Science's Stories of Discovery & Innovation, was ...

  15. Stories of Discovery & Innovation: Peering into a Quantum Well...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Publications History Contact BES Home 09.01.11 Stories of Discovery & Innovation: Peering ... This work, featured in the Office of Science's Stories of Discovery & Innovation, was ...

  16. Stories of Discovery & Innovation: A Step Toward Artificial Photosynth...

    Office of Science (SC) [DOE]

    Publications History Contact BES Home 01.06.12 Stories of Discovery & Innovation: A Step ... This work, featured in the Office of Science's Stories of Discovery & Innovation, was ...

  17. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update

    Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old ...

  18. North Dakota Dry Natural Gas New Reservoir Discoveries in Old...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) North Dakota Dry Natural Gas ... Dry Natural Gas New Reservoir Discoveries in Old Fields North Dakota Dry Natural Gas ...

  19. North Dakota Dry Natural Gas Reserves New Field Discoveries ...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Field Discoveries (Billion Cubic Feet) North Dakota Dry Natural Gas Reserves New Field ... New Field Discoveries of Dry Natural Gas Reserves North Dakota Dry Natural Gas Proved ...

  20. UC 9-8-307 - Antiquities Discovery Reporting Requirements | Open...

    Open Energy Information (Open El) [EERE & EIA]

    UC 9-8-307 - Antiquities Discovery Reporting RequirementsLegal Abstract Sets forth reporting requirements for discovery of archaeological resources on nonfederal lands....

  1. OSTI, US Dept of Energy Office of Scientific and Technical Information |

    Office of Scientific and Technical Information (OSTI)

    Speeding access to science information from DOE and Beyond Free-Electron Lasers move discovery into warp speed by Kathy Chambers on Tue, March 26, 2013 5445 121212-cosmic-chandra_caption.jpg Free-Electron Lasers move discovery into warp speed Read more about 5445 Scientific research being performed today using free-electron lasers could be fodder for the next James Bond or Star Wars movie but it is way better than science fiction and it is real. Almost everything we know about the laws of

  2. DOE SCIENTIFIC AND TECHNICAL REPORTS

    Energy.gov [DOE]

    The Record Disposition Schedule items listed below are have been consolidated from DOE Records Schedules previously approved over the last 35 years. They apply specifically to those scientific and...

  3. Scientific and Technical Information Management

    Directives, Delegations, and Requirements [Office of Management (MA)]

    2010-12-13

    The purpose of this directive is to ensure that STI is appropriately managed as part of the DOE mission to enable the advancement of scientific knowledge and technological innovation. Supersedes DOE O 241.1B.

  4. 2015 Discovery Science Call for Proposal

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    users 2015 Discovery Science Call for Proposal Reference Links: - Basic NIF Specs (User ... proposals via the web based form June 30, 2015. Full proposals are due by September 1, ...

  5. Lab Breakthrough: Nanomaterials Discoveries Lead to Possible...

    Energy Savers

    ... Are there any particular technologies or discoveries that act as a basis for your work? ER: Our principles are inspired by biology. For example, we use a high-efficiency ...

  6. On the belated discovery of fission

    SciTech Connect (OSTI)

    Pearson, J. Michael

    2015-06-15

    A remarkable sequence of missteps, misfortune, and oversights delayed the discovery of nuclear fission until the eve of World War II—and likely altered history’s course.

  7. ACCELERATED DISCOVERY OF ELPASOLITE SCINTILLATORS. (Technical Report) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect ACCELERATED DISCOVERY OF ELPASOLITE SCINTILLATORS. Citation Details In-Document Search Title: ACCELERATED DISCOVERY OF ELPASOLITE SCINTILLATORS. Abstract not provided. Authors: Doty, F. Patrick ; Yang, Pin ; Zhou, Xiaowang Publication Date: 2014-12-01 OSTI Identifier: 1173195 Report Number(s): SAND2014-20272R 547555 DOE Contract Number: AC04-94AL85000 Resource Type: Technical Report Research Org: Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia

  8. Scientific Societies, E-print Network -- Energy, science, and...

    Office of Scientific and Technical Information (OSTI)

    Chinese Dutch English French German Italian Japanese Nordic Russian SpanishPortuguese Other View list of all societies. Choose desired language(s) andor discipline(s) and select ...

  9. Scientific Societies, E-print Network -- Energy, science, and...

    Office of Scientific and Technical Information (OSTI)

    Chinese Dutch English French German Italian Japanese Nordic Russian SpanishPortuguese ... All Languages English Japanese Chinese Nordic Dutch Russian French Spanish-Portuguese ...

  10. Resource Discovery for Extreme Scale Collaboration (RDESC) Final Report - RPI/TWC - Year 3

    SciTech Connect (OSTI)

    Fox, Peter

    2015-05-30

    The amount of data produced in the practice of science is growing rapidly. Despite the accumulation and demand for scientific data, relatively little is actually made available for the broader scientific community. We surmise that the root of the problem is the perceived difficulty to electronically publish scientific data and associated metadata in a way that makes it discoverable. We propose to exploit Semantic Web technologies and practices to make (meta)data discoverable and easy to publish. We share our experiences in curating metadata to illustrate both the flexibility of our approach and the pain of discovering data in the current research environment. We also make recommendations by concrete example of how data publishers can provide their (meta)data by adding some limited, additional markup to HTML pages on the Web. With little additional effort from data publishers, the difficulty of data discovery/access/sharing can be greatly reduced and the impact of research data greatly enhanced.

  11. Discovery of superconductivity in hard hexagonal ε-NbN

    DOE PAGES-Beta [OSTI]

    Zou, Yongtao; Li, Qiang; Qi, Xintong; Zhang, Cheng; Ma, Shuailing; Zhang, Wei; Li, Ying; Chen, Ting; Wang, Xuebing; Chen, Zhiqiang; et al

    2016-02-29

    Since the discovery of superconductivity in boron-doped diamond with a critical temperature (TC) near 4 K, great interest has been attracted in hard superconductors such as transition-metal nitrides and carbides. Here we report the new discovery of superconductivity in polycrystalline hexagonal ε-NbN synthesized at high pressure and high temperature. Direct magnetization and electrical resistivity measurements demonstrate that the superconductivity in bulk polycrystalline hexagonal ε-NbN is below ~11.6 K, which is significantly higher than that for boron-doped diamond. The nature of superconductivity in hexagonal ε-NbN and the physical mechanism for the relatively lower TC have been addressed by the weaker bondingmore » in the Nb-N network, the co-planarity of Nb-N layer as well as its relatively weaker electron-phonon coupling, as compared with the cubic δ-NbN counterpart. Moreover, the newly discovered ε-NbN superconductor remains stable at pressures up to ~20 GPa and is significantly harder than cubic δ-NbN; it is as hard as sapphire, ultra-incompressible and has a high shear rigidity of 201 GPa to rival hard/superhard material γ-B (~227 GPa). Furthermore, this exploration opens a new class of highly desirable materials combining the outstanding mechanical/elastic properties with superconductivity, which may be particularly attractive for its technological and engineering applications in extreme environments.« less

  12. Applied Mathematics Conferences and Workshops | U.S. DOE Office...

    Office of Science (SC) [DOE]

    ASCR Home About Research Applied Mathematics Applied Mathematics Conferences And Workshops Computer Science Next Generation Networking Scientific Discovery through Advanced ...

  13. Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure

    SciTech Connect (OSTI)

    Yue, Peng; Gong, Jianya; Di, Liping; He, Lianlian; Wei, Yaxing

    2011-04-01

    Abstract A geospatial catalogue service provides a network-based meta-information repository and interface for advertising and discovering shared geospatial data and services. Descriptive information (i.e., metadata) for geospatial data and services is structured and organized in catalogue services. The approaches currently available for searching and using that information are often inadequate. Semantic Web technologies show promise for better discovery methods by exploiting the underlying semantics. Such development needs special attention from the Cyberinfrastructure perspective, so that the traditional focus on discovery of and access to geospatial data can be expanded to support the increased demand for processing of geospatial information and discovery of knowledge. Semantic descriptions for geospatial data, services, and geoprocessing service chains are structured, organized, and registered through extending elements in the ebXML Registry Information Model (ebRIM) of a geospatial catalogue service, which follows the interface specifications of the Open Geospatial Consortium (OGC) Catalogue Services for the Web (CSW). The process models for geoprocessing service chains, as a type of geospatial knowledge, are captured, registered, and discoverable. Semantics-enhanced discovery for geospatial data, services/service chains, and process models is described. Semantic search middleware that can support virtual data product materialization is developed for the geospatial catalogue service. The creation of such a semantics-enhanced geospatial catalogue service is important in meeting the demands for geospatial information discovery and analysis in Cyberinfrastructure.

  14. The Electrochemical Discovery Laboratory - Joint Center for Energy Storage

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Research Electrochemical Discovery Laboratory The Electrochemical Discovery Laboratory (EDL) - a key JCESR discovery tool located at Argonne - synthesizes high-quality materials for testing in beyond-lithium-ion batteries and characterizes their properties with state-of-the-art analytical techniques. Download Electrochemical Discovery Laboratory

  15. Software Engineer (Scientific Application) | Princeton Plasma...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Software Engineer (Scientific Application) Department: Information Technology Staff: ENG ... This Scientific Applications Software Engineer position is with the Controls and Data ...

  16. Scientific Advisory Committee | Photosynthetic Antenna Research...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Marion Thurnauer Scientific Advisory Committee Member Read more about Marion Thurnauer Thomas Moore Thomas Moore Scientific Advisory Committee Chair Read more about Thomas Moore...

  17. Topco Scientific Company Ltd | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Topco Scientific Company Ltd Jump to: navigation, search Name: Topco Scientific Company Ltd Place: Taipei City, Taiwan Sector: Solar Product: String representation "Its principal a...

  18. Taiflex Scientific Co Ltd | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Taiflex Scientific Co Ltd Place: Kaohsiung, Taiwan Product: Taiwan-based electronic material manufacturer. References: Taiflex Scientific Co Ltd1 This article is a stub. You...

  19. OSTI's E-print Network content tops 900,000 documents | OSTI...

    Office of Scientific and Technical Information (OSTI)

    than 22,000 scientific e-print Web sites. In addition, the E-print Network provides links to more than 2,900 relevant scientific societies. This Web portal, established as the ...

  20. Scientific and Technical Information Management

    Directives, Delegations, and Requirements [Office of Management (MA)]

    2001-04-09

    To establish Department of Energy (DOE) requirements and responsibilities to ensure that scientific and technical information (STI) is identified, processed, disseminated, and preserved in a manner that (a) enables the scientific community and the public to locate and use the unclassified and unlimited STI resulting from DOE's research and related endeavors and (b) ensures access to classified and sensitive unclassified STI is protected according to legal or Departmental requirements. Cancels DOE O 241.1. Canceled by DOE O 241.1A Chg 1.

  1. Efficient Feature-Driven Visualization of Large-Scale Scientific Data

    SciTech Connect (OSTI)

    Lu, Aidong

    2012-12-12

    Very large, complex scientific data acquired in many research areas creates critical challenges for scientists to understand, analyze, and organize their data. The objective of this project is to expand the feature extraction and analysis capabilities to develop powerful and accurate visualization tools that can assist domain scientists with their requirements in multiple phases of scientific discovery. We have recently developed several feature-driven visualization methods for extracting different data characteristics of volumetric datasets. Our results verify the hypothesis in the proposal and will be used to develop additional prototype systems.

  2. Electrochemical Discovery Laboratory - Joint Center for Energy Storage

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Research Electrochemical Discovery Laboratory March 28, 2016, Accomplishments The Electrochemical Discovery Laboratory The Electrochemical Discovery Laboratory (EDL) - a key JCESR discovery tool located at Argonne - synthesizes high-quality materials for testing in beyond-lithium-ion batteries and characterizes their properties with state-of-the-art analytical techniques. Read More Electrochemical Discovery Laboratory February 29, 2016, Accomplishments Water as a Catalyst - Improving how

  3. ESnet, NERSC Blaze 400G Production Network Path

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ESnet, NERSC Blaze 400G Production Network Path ESnet, NERSC Blaze 400G Production Network Path 400G Link is First Ever by R&E Network November 10, 2015 Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 NetworkMapIllustration.png This map shows the 400G production link between Wang Hall at the main LBNL site and the Oakland Scientific Facility. The Department of Energy's Energy Sciences Network (ESnet) and the National Energy Research Scientific Computing Center (NERSC) have built a 400

  4. Scientific

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Where can I find DOE research results? OSTI delivers free public access to DOE R&D results. Science, technology, and engineering research from DOE DOEOSTI--C187 0915 OSTI...

  5. E-print Network provides access to science, scientists | OSTI, US Dept of

    Office of Scientific and Technical Information (OSTI)

    Energy Office of Scientific and Technical Information E-print Network provides access to science, scientists Back to the OSTI News Listing for 2006 You can search more than 900,000 scientific documents at OSTI's E-print Network. This vast, integrated network of scientific and technical information contains e-prints in basic and applied sciences, primarily in physics but also including subject areas such as chemistry, biology and life sciences, materials science, nuclear sciences and

  6. Scientific and Technical Information Management

    Directives, Delegations, and Requirements [Office of Management (MA)]

    2010-12-13

    The purpose of this directive is to ensure that STI is appropriately managed as part of the DOE mission to enable the advancement of scientific knowledge and technological innovation. Supersedes DOE O 241.1A and DOE O 241.1A Chg 1.

  7. Research towards a systematic signature discovery process

    SciTech Connect (OSTI)

    Baker, Nathan A.; Barr, Jonathan L.; Bonheyo, George T.; Joslyn, Cliff A.; Krishnaswami, Kannan; Oxley, Mark; Quadrel, Richard W.; Sego, Landon H.; Tardiff, Mark F.; Wynne, Adam S.

    2013-06-04

    In its most general form, a signature is a unique or distinguishing measurement, pattern, or collection of data that identifies a phenomenon (object, action, or behavior) of interest. The discovery of signatures is an important aspect of a wide range of disciplines from basic science to national security for the rapid and efficient detection and/or prediction of phenomena. Current practice in signature discovery is typically accomplished by asking domain experts to characterize and/or model individual phenomena to identify what might compose a useful signature. What is lacking is an approach that can be applied across a broad spectrum of domains and information sources to efficiently and robustly construct candidate signatures, validate their reliability, measure their quality, and overcome the challenge of detection -- all in the face of dynamic conditions, measurement obfuscation and noisy data environments. Our research has focused on the identification of common elements of signature discovery across application domains and the synthesis of those elements into a systematic process for more robust and efficient signature development. In this way, a systematic signature discovery process lays the groundwork for leveraging knowledge obtained from signatures to a particular domain or problem area, and, more generally, to problems outside that domain. This paper presents the initial results of this research by discussing a mathematical framework for representing signatures and placing that framework in the context of a systematic signature discovery process. Additionally, the basic steps of this process are described with details about the methods available to support the different stages of signature discovery, development, and deployment.

  8. High Energy Physics and Nuclear Physics Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Bauerdick, Lothar; Bell, Greg; Ciuffo, Leandro; Dasu, Sridhara; Dattoria, Vince; De, Kaushik; Ernst, Michael; Finkelson, Dale; Gottleib, Steven; Gutsche, Oliver; Habib, Salman; Hoeche, Stefan; Hughes-Jones, Richard; Ibarra, Julio; Johnston, William; Kisner, Theodore; Kowalski, Andy; Lauret, Jerome; Luitz, Steffen; Mackenzie, Paul; Maguire, Chales; Metzger, Joe; Monga, Inder; Ng, Cho-Kuen; Nielsen, Jason; Price, Larry; Porter, Jeff; Purschke, Martin; Rai, Gulshan; Roser, Rob; Schram, Malachi; Tull, Craig; Watson, Chip; Zurawski, Jason

    2014-03-02

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements needed by instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 25 years. In August 2013, ESnet and the DOE SC Offices of High Energy Physics (HEP) and Nuclear Physics (NP) organized a review to characterize the networking requirements of the programs funded by the HEP and NP program offices. Several key findings resulted from the review. Among them: 1. The Large Hadron Collider?s ATLAS (A Toroidal LHC Apparatus) and CMS (Compact Muon Solenoid) experiments are adopting remote input/output (I/O) as a core component of their data analysis infrastructure. This will significantly increase their demands on the network from both a reliability perspective and a performance perspective. 2. The Large Hadron Collider (LHC) experiments (particularly ATLAS and CMS) are working to integrate network awareness into the workflow systems that manage the large number of daily analysis jobs (1 million analysis jobs per day for ATLAS), which are an integral part of the experiments. Collaboration with networking organizations such as ESnet, and the consumption of performance data (e.g., from perfSONAR [PERformance Service Oriented Network monitoring Architecture]) are critical to the success of these efforts. 3. The international aspects of HEP and NP collaborations continue to expand. This includes the LHC experiments, the Relativistic Heavy Ion Collider (RHIC) experiments, the Belle II Collaboration, the Large Synoptic Survey Telescope (LSST), and others. The international nature of these collaborations makes them heavily

  9. Shell appraising deepwater discovery off Philippines

    SciTech Connect (OSTI)

    Scherer, M. ); Lambers, E.J.T.; Steffens, G.S. )

    1993-05-10

    Shell International Petroleum Co. Ltd. negotiated a farmout in 1990 from Occidental International Exploration and Production Co. for Block SC-38 in the South China Sea off Palawan, Philippines, following Oxy's discovery of gas in 1989 in a Miocene Nido limestone buildup. Under the terms of the farmout agreement, Shell became operator with a 50% share. Following the disappointing well North Iloc 1, Shell was successful in finding oil and gas in Malampaya 1. Water 700-1,000 m deep, remoteness, and adverse weather conditions have imposed major challenges for offshore operations. The paper describes the tectonic setting; the Nido limestone play; the Malampaya discovery; and Shell's appraisal studies.

  10. Get science-Access E-print Network for current research documents,

    Office of Scientific and Technical Information (OSTI)

    researchers' Web sites, and scientific societies | OSTI, US Dept of Energy Office of Scientific and Technical Information science-Access E-print Network for current research documents, researchers' Web sites, and scientific societies Back to the OSTI News Listing for 2007 Gain access to more than 1 million e-print science documents, over 25,000 Web sites, and links to more than 2,900 scientific societies at OSTI's E-print Network, a fast-growing searchable scientific communications network.

  11. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsÆ data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  12. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  13. Unraveling the Higgs Boson Discovery - Rik Yoshida

    SciTech Connect (OSTI)

    Rik Yoshida

    2012-10-02

    Argonne physicist Rik Yoshida explains what the Higgs boson is and what its discovery means for physics, the universe, and life. The third of Argonne's "OutLoud" public lecture series, held at the lab on September 27, 2012. Find out when the next one is at http://www.anl.gov/community/outloud

  14. Unraveling the Higgs Boson Discovery - Rik Yoshida

    ScienceCinema (OSTI)

    Rik Yoshida

    2013-06-06

    Argonne physicist Rik Yoshida explains what the Higgs boson is and what its discovery means for physics, the universe, and life. The third of Argonne's "OutLoud" public lecture series, held at the lab on September 27, 2012. Find out when the next one is at http://www.anl.gov/community/outloud

  15. Trends, Discovery, & Innovation at NUG User

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Trends, Discovery, & Innovation at NUG User Day 2013 --- 1 --- The s econd d ay o f t he N ERSC U ser G roup ( NUG) 2013 m ee@ng w as f ocused o n c ommunity engagement a nd c ...

  16. BER Science Network Requirements Workshop -- July 26-27,2007

    SciTech Connect (OSTI)

    Tierney, Brian L.; Dart, Eli

    2008-02-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States of America. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In July 2007, ESnet and the Biological and Environmental Research (BER) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the BER Program Office. These included several large programs and facilities, including Atmospheric Radiation Measurement (ARM) Program and the ARM Climate Research Facility (ACRF), Bioinformatics and Life Sciences Programs, Climate Sciences Programs, the Environmental Molecular Sciences Laboratory at PNNL, the Joint Genome Institute (JGI). National Center for Atmospheric Research (NCAR) also participated in the workshop and contributed a section to this report due to the fact that a large distributed data repository for climate data will be established at NERSC, ORNL and NCAR, and this will have an effect on ESnet. Workshop participants were asked to codify their requirements in a 'case study' format, which summarizes the instruments and facilities necessary for the science and the process by which the science is done, with emphasis on the network services needed and the way in which the network is used. Participants were asked to consider three time scales in their case studies--the near term (immediately and up to 12 months in the future), the medium term (3-5 years in the future), and the long term (greater than 5 years in the future). In addition to achieving its goal of collecting and characterizing

  17. NREL'S Zunger Receives Scientific Award

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Award For more information contact: Kerry Masson 303-275-4083 email: Kerry Masson Golden, Colo., Aug. 18, 2000 - Alex Zunger, a leading scientist and research fellow at the U.S. Department of Energy's National Renewable Energy Laboratory, has been named the 2001 recipient of the prestigious John Bardeen award from The Minerals, Metals and Materials Society (TMS). The annual award recognizes "an individual who has made an outstanding contribution and is a leader in the field of

  18. A Multi-Dimensional Classification Model for Scientific Workflow Characteristics

    SciTech Connect (OSTI)

    Ramakrishnan, Lavanya; Plale, Beth

    2010-04-05

    Workflows have been used to model repeatable tasks or operations in manufacturing, business process, and software. In recent years, workflows are increasingly used for orchestration of science discovery tasks that use distributed resources and web services environments through resource models such as grid and cloud computing. Workflows have disparate re uirements and constraints that affects how they might be managed in distributed environments. In this paper, we present a multi-dimensional classification model illustrated by workflow examples obtained through a survey of scientists from different domains including bioinformatics and biomedical, weather and ocean modeling, astronomy detailing their data and computational requirements. The survey results and classification model contribute to the high level understandingof scientific workflows.

  19. The Unexpected Discovery of the Mg(HMDS)2/MgCl2 Complex as a Magnesium

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Electrolyte for Rechargeable Magnesium Batteries - Joint Center for Energy Storage Research 2, 2015, Research Highlights The Unexpected Discovery of the Mg(HMDS)2/MgCl2 Complex as a Magnesium Electrolyte for Rechargeable Magnesium Batteries NMR confirms formation of new species Scientific Achievement A simple mixture of magnesium compounds: magnesium hexamethyldisilazide (Mg(HMDS)2) and magnesium chloride (MgCl2) was prepared to achieve reversible Mg deposition/dissolution, a wide

  20. Introduction to Scientific I/O

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific I/O Show All | 1 2 3 4 5 6 | Next » Introduction to Scientific I/O Table of Contents Introduction to Scientific I/O The Lustre File System The HDF5 Library Parallel HDF5 Scientific I/O in HDF5 Optimizations for HDF5 on Lustre Introduction to Scientific I/O I/O is commonly used by scientific applications to achieve goals like: storing numerical output from simulations for later analysis; implementing 'out-of-core' techniques for algorithms that process more data than can fit in system

  1. The Bioenergy Knowledge Discovery Framework (KDF) | Department...

    Office of Environmental Management (EM)

    The KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of ...

  2. Michigan Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Michigan Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  3. Wyoming Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Wyoming Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  4. Ohio Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Ohio Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  5. Mississippi Dry Natural Gas New Reservoir Discoveries in Old...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Mississippi Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  6. Montana Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Montana Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  7. Oklahoma Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Oklahoma Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  8. West Virginia Dry Natural Gas New Reservoir Discoveries in Old...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) West Virginia Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  9. Alabama Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Alabama Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  10. Colorado Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Colorado Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  11. Virginia Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Virginia Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  12. Louisiana Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Louisiana Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  13. Utah Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Utah Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  14. Pennsylvania Dry Natural Gas New Reservoir Discoveries in Old...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Pennsylvania Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  15. Alaska Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Alaska Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  16. Texas Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Texas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  17. Kentucky Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Kentucky Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  18. Arkansas Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Arkansas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  19. ,"Florida Dry Natural Gas New Reservoir Discoveries in Old Fields...

    U.S. Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Florida Dry Natural Gas New Reservoir Discoveries ... 10:36:57 AM" "Back to Contents","Data 1: Florida Dry Natural Gas New Reservoir Discoveries ...

  20. Geothermal Discovery Offers Hope for More Potential Across the...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Discovery Offers Hope for More Potential Across the Country Geothermal Discovery Offers Hope for More Potential Across the Country October 17, 2012 - 12:50pm Addthis The solution...

  1. Discovery sheds light on nuclear reactor fuel behavior during...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Discovery sheds light on nuclear reactor fuel behavior during a severe event By Angela Hardin * November 20, 2014 Tweet EmailPrint A new discovery about the atomic structure of...

  2. New Mexico Dry Natural Gas Reserves New Field Discoveries (Billion...

    Annual Energy Outlook

    New Field Discoveries (Billion Cubic Feet) New Mexico Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  3. New York Dry Natural Gas Reserves New Field Discoveries (Billion...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Field Discoveries (Billion Cubic Feet) New York Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  4. Purdue University | OSTI, US Dept of Energy Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    Purdue Research Discovery Park Research Parks Seeds for Success Dimensions of Discovery Engineers design, build hydrogen car components Researchers get DOE early career grants DOE ...

  5. The Discovery of the Top Quark

    DOE R&D Accomplishments [OSTI]

    Sinervo, P.K.

    1995-12-01

    The top quark and the Higgs boson are the heaviest elementary particles predicted by the standard model. The four lightest quark flavours, the up, down, strange and charm quarks, were well-established by the mid-1970's. The discovery in 1977 of the {Tau} resonances, a new family of massive hadrons, required the introduction of the fifth quark flavour. Experimental and theoretical studies have indicated that this quark also has a heavier partner, the top quark.

  6. Scientific Advisory Committee | Stanford Synchrotron Radiation Lightsource

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Advisory Committee Role and Charter of the SSRL SAC Scope The SSRL Scientific Advisory Committee (SAC) reports to and advises the SSRL Director on issues related to: Operation of SSRL as a scientific user facility Planning, construction and operation of new SSRL facilities Long-term scientific directions of SSRL Membership and Officers SAC consists of 12 external members, and representatives from the following SSRL committees serve on the SAC in an Ex Officio capacity Co-Chairs of the

  7. Scientific Alternative Investment Advisory Partners | Open Energy...

    Open Energy Information (Open El) [EERE & EIA]

    Alternative Investment Advisory Partners Jump to: navigation, search Name: Scientific Alternative Investment Advisory Partners Place: Frankfurt, Germany Zip: 60325 Sector:...

  8. Energy Department Requests Proposals for Advanced Scientific...

    Office of Environmental Management (EM)

    high energy physics, nuclear physics, quantum chromodynamics, materials sciences, ... program to build the scientific computing software and hardware infrastructure ...

  9. LCLS CDR Chapter 3 - Scientific Experiments

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Basis for Optical Systems TECHNICAL SYNOPSIS The LCLS Scientific Advisory Committee (SAC) has recommended experiments in five scientific disciplines for the initial operation of the LCLS. These experiments cover a variety of scientific disciplines: atomic physics, plasma physics, chemistry, biology and materials science. The x-ray optics and detectors needed to verify the LCLS capability to address these five disciplines will be constructed and installed as part of the LCLS project.

  10. Scientific Exchange Application | Photosynthetic Antenna Research...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... Other Expenses (itemize and include justification) * Other Expenses Subtotal * All ... Program Scientific Exchange Application Awardees Travel Policies & Tips Budget Guidelines

  11. Energy Sciences Network (ESnet) | U.S. DOE Office of Science (SC)

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Energy Sciences Network (ESnet) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities User Facilities Argonne Leadership Computing Facility (ALCF) Energy Sciences Network (ESnet) National Energy Research Scientific Computing Center (NERSC) Oak Ridge Leadership Computing Facility (OLCF) Accessing ASCR Facilities Computational Science Graduate Fellowship (CSGF) Research & Evaluation Prototypes (REP) Science Highlights Benefits of ASCR Funding Opportunities Advanced

  12. Scientific Opportunities to Reduce Risk in Nuclear Process Science

    SciTech Connect (OSTI)

    Bredt, Paul R.; Felmy, Andrew R.; Gauglitz, Phillip A.; Poloski, Adam P.; Vienna, John D.; Moyer, Bruce A.; Hobbs, David; Wilmarth, B.; Mcilwain, Michael; Subramanian, K.; Krahn, Steve; Machara, N.

    2009-08-28

    Cleaning up the nations nuclear weapons complex remains as one of the most technologically challenging and financially costly problems facing the U.S. Department of Energy (DOE). Safety, cost, and technological challenges have often delayed progress in retrieval, processing, and final disposition of high-level waste, spent nuclear fuel, and challenging materials. Some of the issues result from the difficulty and complexity of the technological issues; others have programmatic bases, such as strategies that may provide undue focus on near-term goals or difficulty in developing and maintaining stakeholder confidence in the proposed solutions. We propose that independent basic fundamental science research, addressing the full cleanup life-cycle, offers an opportunity to help address these challenges by providing 1) scientific insight into the fundamental mechanisms involved in currently selected processing and disposal options, 2) a rational path to the development of alternative technologies should the primary options fail, 3) confidence that models that predict long-term performance of different disposal options are based upon the best available science, and 4) fundamental science discovery that enables transformational solutions to revolutionize the current baseline processes. Over the last 3 years, DOEs Office of Environmental Management (EM) has experienced a fundamental shift in philosophy. The mission focus of driving to closure has been replaced by one of enabling the long-term needs of DOE and the nation. Resolving new challenges, such as the disposition of DOE spent nuclear fuel, have been added to EMs responsibilities. In addition, the schedules for addressing several elements of the cleanup mission have been extended. As a result, EMs mission is no longer focused only on driving the current baselines to closure. Meeting the mission will require fundamental advances over at least a 30-year window if not longer as new challenges are added. The overall

  13. AutoDrug: fully automated macromolecular crystallography workflows for fragment-based drug discovery

    SciTech Connect (OSTI)

    Tsai, Yingssu; McPhillips, Scott E.; Gonzlez, Ana; McPhillips, Timothy M.; Zinn, Daniel; Cohen, Aina E.; Feese, Michael D.; Bushnell, David; Tiefenbrunn, Theresa; Stout, C. David; Ludaescher, Bertram; Hedman, Britt; Hodgson, Keith O.; Soltis, S. Michael

    2013-05-01

    New software has been developed for automating the experimental and data-processing stages of fragment-based drug discovery at a macromolecular crystallography beamline. A new workflow-automation framework orchestrates beamline-control and data-analysis software while organizing results from multiple samples. AutoDrug is software based upon the scientific workflow paradigm that integrates the Stanford Synchrotron Radiation Lightsource macromolecular crystallography beamlines and third-party processing software to automate the crystallography steps of the fragment-based drug-discovery process. AutoDrug screens a cassette of fragment-soaked crystals, selects crystals for data collection based on screening results and user-specified criteria and determines optimal data-collection strategies. It then collects and processes diffraction data, performs molecular replacement using provided models and detects electron density that is likely to arise from bound fragments. All processes are fully automated, i.e. are performed without user interaction or supervision. Samples can be screened in groups corresponding to particular proteins, crystal forms and/or soaking conditions. A single AutoDrug run is only limited by the capacity of the sample-storage dewar at the beamline: currently 288 samples. AutoDrug was developed in conjunction with RestFlow, a new scientific workflow-automation framework. RestFlow simplifies the design of AutoDrug by managing the flow of data and the organization of results and by orchestrating the execution of computational pipeline steps. It also simplifies the execution and interaction of third-party programs and the beamline-control system. Modeling AutoDrug as a scientific workflow enables multiple variants that meet the requirements of different user groups to be developed and supported. A workflow tailored to mimic the crystallography stages comprising the drug-discovery pipeline of CoCrystal Discovery Inc. has been deployed and successfully

  14. U.S. Scientific Team Draws on New Data, Multiple Scientific Methodologies

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    to Reach Updated Estimate of Oil Flows from BP's Well | Department of Energy Scientific Team Draws on New Data, Multiple Scientific Methodologies to Reach Updated Estimate of Oil Flows from BP's Well U.S. Scientific Team Draws on New Data, Multiple Scientific Methodologies to Reach Updated Estimate of Oil Flows from BP's Well June 15, 2010 - 12:00am Addthis Washington - Based on updated information and scientific assessments, Secretary of Energy Steven Chu, Secretary of the Interior Ken

  15. The BIOSCI electronic newsgroup network for the biological sciences. Final report, October 1, 1992--June 30, 1996

    SciTech Connect (OSTI)

    Kristofferson, D.; Mack, D.

    1996-10-01

    This is the final report for a DOE funded project on BIOSCI Electronic Newsgroup Network for the biological sciences. A usable network for scientific discussion, major announcements, problem solving, etc. has been created.

  16. Scientific American: "Tall Trees Sucked Dry by Global Warming...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific American: "Tall Trees Sucked Dry by Global Warming" June 7, 2015 Scientific American: "Tall Trees Sucked Dry by Global Warming" A well-known scientific principle ...

  17. Experimental Network Testbeds

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Galleries ESnet Awards and Honors Blog ESnet Live Home Network R&D Experimental Network Testbeds Network R&D Overview Experimental Network Testbeds 100G SDN...

  18. OSTI's E-print Network content tops 900,000 documents | OSTI, US Dept of

    Office of Scientific and Technical Information (OSTI)

    Energy Office of Scientific and Technical Information E-print Network content tops 900,000 documents Back to the OSTI News Listing for 2006 OSTI's E-print Network: Research Communications for Scientists and Engineers now provides access to over 900,000 documents on more than 22,000 scientific e-print Web sites. In addition, the E-print Network provides links to more than 2,900 relevant scientific societies. This Web portal, established as the PrePRINT Network in 2000, is a vast, integrated

  19. DISCOVERY OF AN ULTRAMASSIVE PULSATING WHITE DWARF

    SciTech Connect (OSTI)

    Hermes, J. J.; Castanheira, Barbara G.; Winget, D. E.; Montgomery, M. H.; Harrold, Samuel T.; Kepler, S. O.; Gianninas, A.; Brown, Warren R.

    2013-07-01

    We announce the discovery of the most massive pulsating hydrogen-atmosphere white dwarf (WD) ever discovered, GD 518. Model atmosphere fits to the optical spectrum of this star show it is a 12, 030 {+-} 210 K WD with a log g =9.08 {+-} 0.06, which corresponds to a mass of 1.20 {+-} 0.03 M{sub Sun }. Stellar evolution models indicate that the progenitor of such a high-mass WD endured a stable carbon-burning phase, producing an oxygen-neon-core WD. The discovery of pulsations in GD 518 thus offers the first opportunity to probe the interior of a WD with a possible oxygen-neon core. Such a massive WD should also be significantly crystallized at this temperature. The star exhibits multi-periodic luminosity variations at timescales ranging from roughly 425 to 595 s and amplitudes up to 0.7%, consistent in period and amplitude with the observed variability of typical ZZ Ceti stars, which exhibit non-radial g-mode pulsations driven by a hydrogen partial ionization zone. Successfully unraveling both the total mass and core composition of GD 518 provides a unique opportunity to investigate intermediate-mass stellar evolution, and can possibly place an upper limit to the mass of a carbon-oxygen-core WD, which in turn constrains Type Ia supernovae progenitor systems.

  20. DISCOVERY OF TWO ADDITIONAL JOVIAN IRREGULARS

    SciTech Connect (OSTI)

    Alexandersen, M.; Gladman, B.; Veillet, C.; Jacobson, R.; Brozovic, M.; Rousselot, P.

    2012-07-15

    We report on the discovery of two previously undetected irregular satellites of Jupiter (S/2010 J 1 and S/2010 J 2) during recovery observations of other known satellites. S/2010 J 1 was discovered with the Palomar 200 inch Hale telescope on September 7 UT of 2011, while S/2010 J 2 was discovered on September 8 with the 3.5 m Canada-France-Hawaii Telescope. The satellites have r-band magnitudes of 23.2 {+-} 0.3 and 24.0 {+-} 0.3, for S/2010 J 1 and S/2010 J 2, respectively, indicating diameters of {approx}2-3 km. Both S/2010 J 1 and S/2010 J 2 are on bound retrograde orbits. Time-averaged integrated orbits suggest the association to the Carme and Ananke groups, respectively. Given that the satellites were discovered within a small field during the routine observations of the previously known irregulars, their discovery agrees with predictions that other moons of similar sizes remain undetected in the Jovian Hill sphere.

  1. Langley Deep Field, discovery and interpretation

    SciTech Connect (OSTI)

    Henderson, G.J.; Lake, E.A.; Douglas, G.

    1984-01-01

    In May 1978, ARCO Oil and Gas Co. completed the Langley Deep Unit 1 well in Lea County, New Mexico, discovering a deep gas field with production from two horizons. The discovery well produces gas from a northwest-southeast-trending anticline that has a reverse fault at the Ellenburger formation on the northeast flank of the structure. This reverse fault, possibly persistent to the base of the Wolfcamp Formation, generated an anticlinal feature in the upthrown block at the Devonian level. The fault itself is the trap at the Ellenburger formation. Since the discovery of the Langley Deep field in 1978, a new geologic interpretation has been proposed for the eastern rim of the Delaware basin. A major conclusion, based on seismic control, the well control from this field, and on subsurface control throughout southern Lea County, New Mexico, is that a strike-slip fault was activated during the Late Pennsylvanian and Early Permian and caused deformation resulting in the formation of the Langley Deep structure.

  2. Insecurity of Wireless Networks

    SciTech Connect (OSTI)

    Sheldon, Frederick T; Weber, John Mark; Yoo, Seong-Moo; Pan, W. David

    2012-01-01

    Wireless is a powerful core technology enabling our global digital infrastructure. Wi-Fi networks are susceptible to attacks on Wired Equivalency Privacy, Wi-Fi Protected Access (WPA), and WPA2. These attack signatures can be profiled into a system that defends against such attacks on the basis of their inherent characteristics. Wi-Fi is the standard protocol for wireless networks used extensively in US critical infrastructures. Since the Wired Equivalency Privacy (WEP) security protocol was broken, the Wi-Fi Protected Access (WPA) protocol has been considered the secure alternative compatible with hardware developed for WEP. However, in November 2008, researchers developed an attack on WPA, allowing forgery of Address Resolution Protocol (ARP) packets. Subsequent enhancements have enabled ARP poisoning, cryptosystem denial of service, and man-in-the-middle attacks. Open source systems and methods (OSSM) have long been used to secure networks against such attacks. This article reviews OSSMs and the results of experimental attacks on WPA. These experiments re-created current attacks in a laboratory setting, recording both wired and wireless traffic. The article discusses methods of intrusion detection and prevention in the context of cyber physical protection of critical Internet infrastructure. The basis for this research is a specialized (and undoubtedly incomplete) taxonomy of Wi-Fi attacks and their adaptations to existing countermeasures and protocol revisions. Ultimately, this article aims to provide a clearer picture of how and why wireless protection protocols and encryption must achieve a more scientific basis for detecting and preventing such attacks.

  3. About Argonne Scientific Publications | Argonne National Laboratory

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    About Argonne Scientific Publications Welcome to the Argonne Scientific Publications portal. You can search for citations to publications produced by Argonne scientists and researchers since 1991. Please note that this does not represent a comprehensive index of all Argonne publications. At this time, it only includes journal articles, conference papers, and technical reports that have been announced by Argonne National Laboratory to the Department of Energy's Office of Scientific and Technical

  4. Scientific Exchange Program | Photosynthetic Antenna Research Center

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific Exchange Program Scientific Exchange Program The Scientific Exchange Program was established as part of Washington University's Photosynthetic Antenna Research Center (PARC), an Energy Frontier Research Center (EFRC) funded by the Department of Energy in 2009. This program will permit individuals from PARC teams, with a strong emphasis on graduate students and postdocs, to make extended visits to other laboratories within PARC. In addition to exchanges of team members, funds are also

  5. Argonne Scientific Publications | Argonne National Laboratory

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Argonne Scientific Publications Start a New Search Publications Overview Argonne Research Library Argonne Scientific Publications Argonne Scientific Publications is a portal to publications produced by researchers and scientists at Argonne National Laboratory. You can search for citations to journal articles, conference papers and technical reports produced by the Laboratory since 1991. Search Search publication titles, authors, and abstracts. Recent Publications Alderman, O. L. G.; Liska, M. ;

  6. DOE Supercomputing Resources Available for Advancing Scientific

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Breakthroughs | Department of Energy Supercomputing Resources Available for Advancing Scientific Breakthroughs DOE Supercomputing Resources Available for Advancing Scientific Breakthroughs April 15, 2009 - 12:00am Addthis Washington, DC - The U.S. Department of Energy (DOE) announced today it is accepting proposals for a program to support high-impact scientific advances through the use of some of the world's most powerful supercomputers located at DOE national laboratories. Approximately

  7. ORISE: Capabilities in Scientific Peer Review

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Related Link Best Practices in Peer Review Assure Quality, Value, Objectivity (PDF, 330KB) Journal of the National Grants Management Association Oak Ridge Institute for Science Education Capabilities in Scientific Peer Review ORISE Provides Extensive Capabilities in Managing Competitive Scientific Peer Reviews The Oak Ridge Institute for Science and Education (ORISE) manages scientific peer reviews for the U.S. Department of Energy (DOE) and other government agencies. Our capabilities span the

  8. Peter Nugent Named Deputy for Scientific Engagement

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Peter Nugent Named Deputy for Scientific Engagement Peter Nugent Named Deputy for Scientific Engagement June 3, 2014 Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov XBD201308-03524-01.jpg Peter Nugent working with 2013 summer student Kayla Mendel. Peter Nugent has been appointed Deputy for Scientific Engagement in Berkeley Lab's Computing Sciences. In his new role, Nugent will work with CRD and Computing Sciences leadership to develop and implement a strategy for engaging with other Berkeley Lab

  9. The Digital Road to Scientific Knowledge Diffusion

    Office of Scientific and Technical Information (OSTI)

    Digital Road to Scientific Knowledge Diffusion A Faster, Better Way to Scientific Progress? By David E. Wojick, Walter L. Warnick, Bonnie C. Carroll, and June Crowe Introduction With the United States federal government spending over $130 billion annually for research and development, ways to increase the productivity of that research can have a significant return on investment. It is well known that all scientific advancement is based on work that has come before. Isaac Newton expressed this

  10. Workshop on Scientific Applications of the LCLS

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    WORKSHOP ON SCIENTIFIC APPLICATIONS OF THE LCLS Stanford Linear Accelerator Center, January 12-14, 1999 I. Lindau and J. Arthur, principal organizers INTRODUCTION Free electron...

  11. ORISE: Contact Us - Scientific Peer Review

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Contact Us Tony Lester Senior Associate Director, Scientific Assessment and Workforce Development Work: 865.576.3304 peerreview@orau.org

  12. The Digital Road to Scientific Knowledge Diffusion

    Office of Scientific and Technical Information (OSTI)

    ... data and textual information; and 4. Modeling scientific exchange in the research process. ... for conceptual context and the importance of reviewing the body of knowledge that exists. ...

  13. Superlative Supercomputers: Argonne's Mira to Accelerate Scientific...

    Energy.gov (indexed) [DOE]

    ... supercomputers actually drives the project team to make these scientific models easier to port to multiple computer architectures. That's what the Office of Science does. ...

  14. Increasing Scientific Productivity by Tracking Data

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    than its predecessor. To effectively meet the increasing scientific demand for storage systems and services, the center's staff must first understand how data moves within the...

  15. Peter Nugent Named Deputy for Scientific Engagement

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    leadership to develop and implement a strategy for engaging with other Berkeley Lab scientific divisions in need of computational solutions for data-intensive science projects. ...

  16. Hoku Scientific Inc | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Hoku Scientific Inc Place: Kapolei, Hawaii Zip: 96707 Product: US-based materials science company, which started as a fuel cell company and then got into polysilicon...

  17. NERSC National Energy Research Scientific Computing Center

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... International Leadership and Partnerships. . . . ... Appendix D: Office of Advanced Scientific Computing Research . . . . . . . . . ... 2007 issue of the journal Nature. 1 "We have ...

  18. National Energ y Research Scientific Computing Center

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... Science Applications International Corp. 238,528 ... Computational Science and Mathematics 1% ... Advanced Scientific Computing Research Research sponsored by DOE's Office of ...

  19. National Energy Research Scientific Computing Center

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Science, Office of Advanced Scientific Computing ... (story p. 31); Journal of Materials Research (story p. 34); Ben ... to the 2016 IEEE International Parallel & ...

  20. Single, Key Gene Discovery Could Streamline Production of Biofuels |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels August 11, 2011 - 3:51pm Addthis WASHINGTON, DC -- A team of researchers at the Department of Energy's BioEnergy Science Center (BESC) have pinpointed the exact, single gene that controls ethanol production capacity in a microorganism. This discovery could be the missing link in developing biomass crops that produce higher concentrations

  1. Electrochemical Discovery Laboratory - Joint Center for Energy Storage

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Research Electrochemical Discovery Laboratory The Electrochemical Discovery Laboratory (EDL)-a key JCESR discovery tool located at Argonne-synthesizes high-quality materials for testing in beyond-lithium-ion batteries and characterizes their properties with state-of-the-art analytical techniques. These techniques include structural, compositional, and trace analysis probes with the goal of understanding, at atomic and molecular levels, the chemical transformations that occur during battery

  2. Ohio Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Field Discoveries (Billion Cubic Feet) Ohio Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 16 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  3. New design strategy reduces time and cost of material discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    design strategy New design strategy reduces time and cost of material discovery Iteratively guiding experiments toward finding materials with the desired target properties May 17, 2016 Mars Adaptive design framework. New design strategy reduces time and cost of material discovery Researchers from the US and China have recently demonstrated how an informatics-based adaptive design strategy, tightly coupled to experiments, can accelerate the discovery of new materials with targeted properties.

  4. Machine learning accelerates the discovery of new materials

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Machine learning accelerates the discovery of new materials Machine learning accelerates the discovery of new materials Researchers recently demonstrated how an informatics-based adaptive design strategy, tightly coupled to experiments, can accelerate the discovery of new materials with targeted properties. May 9, 2016 Adaptive design framework. Adaptive design framework. Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email "What we've done is show that, starting with a

  5. Kansas Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    New Field Discoveries (Billion Cubic Feet) Kansas Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 3 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  6. Data Science and Optimal Learning for Material Discovery and Design

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Data Science & Optimal Learning for Material Discovery & Design Data Science and Optimal Learning for Material Discovery and Design WHEN: May 16, 2016 8:00 AM - May 18, 2016 5:00 PM WHERE: Hilton Santa Fe CONTACT: Karla Jackson (505) 667-5336 CATEGORY: Community Science TYPE: Conference INTERNAL: Calendar Login Event Description Accelerating materials discovery has been an emerging theme in several Office of Science and other government reports and proposal calls. It also has been the

  7. Stories of Discovery & Innovation: From Human Genome to Materials...

    Office of Science (SC) [DOE]

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported in part by the Center for Electrical Energy Storage, an EFRC led by Michael ...

  8. Florida Dry Natural Gas New Reservoir Discoveries in Old Fields...

    Annual Energy Outlook

    Release Date: 11192015 Next Release Date: 12312016 Referring Pages: Dry Natural Gas New Reservoir Discoveries in Old Fields Florida Dry Natural Gas Proved Reserves Dry Natural ...

  9. Florida Dry Natural Gas Reserves New Field Discoveries (Billion...

    U.S. Energy Information Administration (EIA) (indexed site)

    Release Date: 11192015 Next Release Date: 12312016 Referring Pages: New Field Discoveries of Dry Natural Gas Reserves Florida Dry Natural Gas Proved Reserves Dry Natural Gas ...

  10. Discovery and Preclinical Characterization of theCyclopropylindoloben...

    Office of Scientific and Technical Information (OSTI)

    clopropylindolobenzazepine BMS-791325, A Potent Allosteric Inhibitor of the Hepatitis C Virus NS5B Polymerase Citation Details In-Document Search Title: Discovery and Preclinical...

  11. Rapid discovery and functional characterization of terpene synthases...

    Office of Scientific and Technical Information (OSTI)

    Title: Rapid discovery and functional characterization of terpene synthases from four endophytic xylariaceae Endophytic fungi are ubiquitous plant endosymbionts that establish ...

  12. Materials Design and Discovery: Catalysis and Energy Storage...

    Office of Scientific and Technical Information (OSTI)

    Materials Design and Discovery: Catalysis and Energy Storage (Mira Early Science Program Final Technical Report): ALCF-2 Early Science Program Technical Report Citation Details ...

  13. A General Strategy for the Discovery of Metabolic Pathways: d...

    Office of Scientific and Technical Information (OSTI)

    Title: A General Strategy for the Discovery of Metabolic Pathways: d-Threitol, l-Threitol, and Erythritol Utilization in Mycobacterium smegmatis Authors: Huang, Hua ; Carter, ...

  14. New perovskite research discoveries may lead to solar cell, LED...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    New perovskite research discoveries may lead to solar cell, LED advances Contacts: For Release: Sept. 6, 2016 Javier Vela, Ames Laboratory scientist, (515) 294-5536 Steve Karsjen, ...

  15. Stories of Discovery & Innovation: More Heat than Light? | U...

    Office of Science (SC) [DOE]

    Stories of Discovery & Innovation: More Heat than Light? Print Text Size: A A A Subscribe FeedbackShare Page Breakthrough solar cell harvests electricity from the sun's thermal ...

  16. New perovskite research discoveries may lead to solar cell, LED...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    New perovskite research discoveries may lead to solar cell, LED advances "Promising" and "remarkable" are two words U.S. Department of Energy's Ames Laboratory scientist Javier ...

  17. Perovskite discoveries may lead to solar cell, LED advances ...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Perovskite discoveries may lead to solar cell, LED advances "Promising" and "remarkable" are two words Ames Laboratory scientist Javier Vela uses to describe recent research ...

  18. Discovery-Spring Garden, Maryland: Energy Resources | Open Energy...

    Open Energy Information (Open El) [EERE & EIA]

    Discovery-Spring Garden, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.4614398, -77.358284 Show Map Loading map......

  19. Discovery of the Fundamental Mechanism of Action of Resveratrol...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Discovery of the Fundamental Mechanism of Action of Resveratrol Thursday, May 28, 2015 Resveratrol is reported to extend lifespan and provide cardio-neuro-protective, ...

  20. Discovery of the Transuranium Elements (LBNL Summer Lecture Series)

    ScienceCinema (OSTI)

    Hoffman, Darleane

    2016-07-12

    Summer Lecture Series 2006: Darleane Hoffman, a Berkeley Lab nuclear chemist, chronicles the discovery of the heaviest elements ? those much heavier than uranium and plutonium.

  1. Discovery of functional toxin/antitoxin systems in bacteria by...

    Office of Scientific and Technical Information (OSTI)

    ...antitoxin systems in bacteria by shotgun cloning Citation Details In-Document Search Title: Discovery of functional toxinantitoxin systems in bacteria by shotgun cloning ...

  2. Stories of Discovery & Innovation: Just One Word-Plastics | U...

    Office of Science (SC) [DOE]

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported in part by the Center for Interface Science: Solar Electric Materials (CISSEM), an ...

  3. Stories of Discovery and Innovation: Could Cheaper Gasoline be...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    and Innovation: Could Cheaper Gasoline be "in the Cards"? Energy Frontier Research Centers ... Publications History Contact BES Home 08.06.12 Stories of Discovery and Innovation: Could ...

  4. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed methane proved reserves, reserves changes, and production, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved ...

  5. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update

    wet after lease separation, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases ...

  6. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update

    Crude oil proved reserves, reserves changes, and production, 2014 million barrels Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves ...

  7. Published New Reservoir Proved Revision Revision New Field Discoveries

    Annual Energy Outlook

    Crude oil and lease condensate proved reserves, reserves changes, and production, 2014 million barrels Published New Reservoir Proved Revision Revision New Field Discoveries ...

  8. Published New Reservoir Proved Revision Revision New Field Discoveries

    Annual Energy Outlook

    Lease condensate proved reserves, reserves changes, and production, 2014 million barrels Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved ...

  9. U.S. Coalbed Methane Proved Reserves New Reservoir Discoveries...

    U.S. Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Coalbed Methane Proved ... Release Date: 11192015 Next Release Date: 12312016 Referring Pages: Coalbed Methane ...

  10. Discovery of bridgmanite, the most abundant mineral in Earth...

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Search Results Journal Article: Discovery of bridgmanite, the most abundant mineral in Earth, in a shocked meteorite Citation Details In-Document Search Title: ...

  11. Discovery of novel hydrogen storage materials: an atomic scale...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Discovery of novel hydrogen storage materials: an atomic scale computational approach Home Author: C. Wolverton, D. J. Siegel, A. R. Akbarzadeh, V. Ozolins Year: 2008 Abstract:...

  12. OSTI, US Dept of Energy Office of Scientific and Technical Information |

    Office of Scientific and Technical Information (OSTI)

    Speeding access to science information from DOE and Beyond Do You Have a Favorite Science Teacher? Adopt-A-Doc in Their Honor by Debbie Nuchols on Thu, August 30, 2012 4268 AdoptADoc2012_slide.jpg Do You Have a Favorite Science Teacher? Adopt-A-Doc in Their Honor Read more about 4268 What is Adopt-A-Doc? Adopt-A-Doc is another way OSTI is working to increase the availability of important research. You can be a part of accelerating scientific discovery and help make important research

  13. Energy Innovation Hubs: A Home for Scientific Collaboration

    SciTech Connect (OSTI)

    Chu, Steven

    2012-01-01

    Secretary Chu will host a live, streaming Q&A session with the directors of the Energy Innovation Hubs on Tuesday, March 6, at 2:15 p.m. EST. The directors will be available for questions regarding their teams' work and the future of American energy. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@hq.doe.gov, prior or during the live event. Dr. Hank Foley is the director of the Greater Philadelphia Innovation Cluster for Energy-Efficient Buildings, which is pioneering new data intensive techniques for designing and operating energy efficient buildings, including advanced computer modeling. Dr. Douglas Kothe is the director of the Consortium for Advanced Simulation of Light Water Reactors, which uses powerful supercomputers to create "virtual" reactors that will help improve the safety and performance of both existing and new nuclear reactors. Dr. Nathan Lewis is the director of the Joint Center for Artificial Photosynthesis, which focuses on how to produce fuels from sunlight, water, and carbon dioxide. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy technologies. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@energy.gov, prior or during the live event. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each Hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy

  14. Energy Innovation Hubs: A Home for Scientific Collaboration

    ScienceCinema (OSTI)

    Chu, Steven

    2013-05-29

    Secretary Chu will host a live, streaming Q&A session with the directors of the Energy Innovation Hubs on Tuesday, March 6, at 2:15 p.m. EST. The directors will be available for questions regarding their teams' work and the future of American energy. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@hq.doe.gov, prior or during the live event. Dr. Hank Foley is the director of the Greater Philadelphia Innovation Cluster for Energy-Efficient Buildings, which is pioneering new data intensive techniques for designing and operating energy efficient buildings, including advanced computer modeling. Dr. Douglas Kothe is the director of the Consortium for Advanced Simulation of Light Water Reactors, which uses powerful supercomputers to create "virtual" reactors that will help improve the safety and performance of both existing and new nuclear reactors. Dr. Nathan Lewis is the director of the Joint Center for Artificial Photosynthesis, which focuses on how to produce fuels from sunlight, water, and carbon dioxide. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy technologies. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@energy.gov, prior or during the live event. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each Hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy

  15. Managing government funded scientific consortia

    SciTech Connect (OSTI)

    Banerjee, Bakul; /Fermilab

    2007-06-01

    In recent years, it is becoming apparent that good science not only requires the talents of individual scientists, but also state-of-the-art laboratory facilities. These faculties, often costing millions to billions of dollars, allow scientists unprecedented opportunities to advance their knowledge and improve the quality of human life. To make optimum use of these experimental facilities, a significant amount of computational simulations is required. These mega-projects require large-scale computational facilities and complementary infrastructures of network and software. For physical sciences in US, most of these research and development efforts are funded by the US Department of Energy (DOE) and National Science Foundation (NSF). Universities, US National Laboratories, and occasionally industrial partners work together on projects awarded with different flavors of government funds managed under different rules. At Fermilab, we manage multiple such collaborative computing projects for university and laboratory consortia. In this paper, I explore important lessons learned from my experience with these projects. Using examples of projects delivering computing infrastructure for the Lattice QCD Collaboration, I explain how the use of federal enterprise architecture may be deployed to run projects effectively. I also describe the lessons learned in the process. Lessons learned from the execution of the above projects are also applicable to other consortia receiving federal government funds.

  16. Exploring network structure, dynamics, and function using networkx

    SciTech Connect (OSTI)

    Hagberg, Aric; Swart, Pieter; S Chult, Daniel

    2008-01-01

    NetworkX is a Python language package for exploration and analysis of networks and network algorithms. The core package provides data structures for representing many types of networks, or graphs, including simple graphs, directed graphs, and graphs with parallel edges and self loops. The nodes in NetworkX graphs can be any (hashable) Python object and edges can contain arbitrary data; this flexibility mades NetworkX ideal for representing networks found in many different scientific fields. In addition to the basic data structures many graph algorithms are implemented for calculating network properties and structure measures: shortest paths, betweenness centrality, clustering, and degree distribution and many more. NetworkX can read and write various graph formats for eash exchange with existing data, and provides generators for many classic graphs and popular graph models, such as the Erdoes-Renyi, Small World, and Barabasi-Albert models, are included. The ease-of-use and flexibility of the Python programming language together with connection to the SciPy tools make NetworkX a powerful tool for scientific computations. We discuss some of our recent work studying synchronization of coupled oscillators to demonstrate how NetworkX enables research in the field of computational networks.

  17. Developer Network

    Energy Science and Technology Software Center (OSTI)

    2012-08-21

    NREL's Developer Network, developer.nrel.gov, provides data that users can access to provide data to their own analyses, mobile and web applications. Developers can retrieve the data through a Web services API (application programming interface). The Developer Network handles overhead of serving up web services such as key management, authentication, analytics, reporting, documentation standards, and throttling in a common architecture, while allowing web services and APIs to be maintained and managed independently.

  18. Scientific Data Management Integrated Software Infrastructure Center (SDM/ISIC): Scientific Process Automation (SPA), FINAL REPORT

    SciTech Connect (OSTI)

    Bertram Ludaescher; Ilkay Altintas

    2012-07-03

    This is the final report from SDSC and UC Davis on DE-FC02-01ER25486, Scientific Data Management Integrated Software Infrastructure Center (SDM/ISIC): Scientific Process Automation (SPA).

  19. U.S. Scientific Team Draws on New Data, Multiple Scientific Methodolog...

    Office of Environmental Management (EM)

    Updated Estimate of Oil Flows from BP's Well U.S. Scientific Team Draws on New Data, Multiple Scientific Methodologies to Reach Updated Estimate of Oil Flows from BP's Well ...

  20. Sentient networks

    SciTech Connect (OSTI)

    Chapline, G.

    1998-03-01

    The engineering problems of constructing autonomous networks of sensors and data processors that can provide alerts for dangerous situations provide a new context for debating the question whether man-made systems can emulate the cognitive capabilities of the mammalian brain. In this paper we consider the question whether a distributed network of sensors and data processors can form ``perceptions`` based on sensory data. Because sensory data can have exponentially many explanations, the use of a central data processor to analyze the outputs from a large ensemble of sensors will in general introduce unacceptable latencies for responding to dangerous situations. A better idea is to use a distributed ``Helmholtz machine`` architecture in which the sensors are connected to a network of simple processors, and the collective state of the network as a whole provides an explanation for the sensory data. In general communication within such a network will require time division multiplexing, which opens the door to the possibility that with certain refinements to the Helmholtz machine architecture it may be possible to build sensor networks that exhibit a form of artificial consciousness.

  1. Scientific Research Data | OSTI, US Dept of Energy Office of Scientific and

    Office of Scientific and Technical Information (OSTI)

    Technical Information Scientific Research Data Scientific Research Data DOE generates scientific research data in many forms, both text and non-text. Much of the Department's text-based R&D results are readily available via OSTI databases. OSTI has broadened efforts to make non-text scientific and technical information (STI) available as well, providing access to underlying non-text data such as numeric files, computer simulations and interactive maps, as well as multimedia and

  2. Neural Networks

    SciTech Connect (OSTI)

    Smith, Patrick I.

    2003-09-23

    Physicists use large detectors to measure particles created in high-energy collisions at particle accelerators. These detectors typically produce signals indicating either where ionization occurs along the path of the particle, or where energy is deposited by the particle. The data produced by these signals is fed into pattern recognition programs to try to identify what particles were produced, and to measure the energy and direction of these particles. Ideally, there are many techniques used in this pattern recognition software. One technique, neural networks, is particularly suitable for identifying what type of particle caused by a set of energy deposits. Neural networks can derive meaning from complicated or imprecise data, extract patterns, and detect trends that are too complex to be noticed by either humans or other computer related processes. To assist in the advancement of this technology, Physicists use a tool kit to experiment with several neural network techniques. The goal of this research is interface a neural network tool kit into Java Analysis Studio (JAS3), an application that allows data to be analyzed from any experiment. As the final result, a physicist will have the ability to train, test, and implement a neural network with the desired output while using JAS3 to analyze the results or output. Before an implementation of a neural network can take place, a firm understanding of what a neural network is and how it works is beneficial. A neural network is an artificial representation of the human brain that tries to simulate the learning process [5]. It is also important to think of the word artificial in that definition as computer programs that use calculations during the learning process. In short, a neural network learns by representative examples. Perhaps the easiest way to describe the way neural networks learn is to explain how the human brain functions. The human brain contains billions of neural cells that are responsible for processing

  3. ESnet - the energy sciences network strategic plan

    SciTech Connect (OSTI)

    1996-12-01

    The goal of the Energy Sciences Network (ESnet) Program is to provide a highly capable and reliable communications infrastructure that supports the Department of Energy`s (DOE) missions and enables DOE researchers to tap the power of leading-edge information technologies. ESnet provides an essential infrastructure that enhances national competitiveness and accelerates the development of future generations of high-performance, distributed computing systems and networks. These computing systems and networks are vital to modern scientific research. In addition, they enable development of new approaches to energy management, environmental restoration and waste management, national security, industrial processing, and health care, and also facilitate public access to government information. Extensive networks developed by the DOE`s high-energy physics and fusion energy research communities were the forerunners of the ESnet. These networks initially provided improved access to high-energy accelerator sites and to the Magnetic Fusion Energy Supercomputer Center, which opened at Lawrence Livermore National Laboratory in 1974.

  4. Delta: the First Pion Nucleon Resonance - Its Discovery and Applications

    DOE R&D Accomplishments [OSTI]

    Nagle, D. E.

    1984-07-01

    It is attempted to recapture some of the fun and excitement of the pion-scattering work that led to the discovery of what is now called the delta particle. How significant this discovery was became apparent only gradually. That the delta is alive today and thriving at Los Alamos (as well as other places) is described.

  5. Tera-node Network Technology (TASK 4) Network Infrastructure Activities (NIA) final report

    SciTech Connect (OSTI)

    Postel, John; Bannister, Joe

    2000-03-15

    The TNT project developed software technologies in scalable personal telecommunications (SPT), Reservation Protocol 2 (RSVP2), Scalable Computing Infrastructure (SCOPE), and Network Infrastructure Activities (NIA). SPT = developed many innovative protocols to support the use of videoconferencing applications on the Internet. RSVP2 = developed a new reference model and further standardization of RSVP. SCOPE = developed dynamic resource discovery techniques and distributed directory services in support of resource allocation for large distributed systems and computations. NIA = provided policy, operational, and support to the transitioning Internet.

  6. Institute for Scientific Computing Research Annual Report: Fiscal Year 2004

    SciTech Connect (OSTI)

    Keyes, D E

    2005-02-07

    Large-scale scientific computation and all of the disciplines that support and help to validate it have been placed at the focus of Lawrence Livermore National Laboratory (LLNL) by the Advanced Simulation and Computing (ASC) program of the National Nuclear Security Administration (NNSA) and the Scientific Discovery through Advanced Computing (SciDAC) initiative of the Office of Science of the Department of Energy (DOE). The maturation of computational simulation as a tool of scientific and engineering research is underscored in the November 2004 statement of the Secretary of Energy that, ''high performance computing is the backbone of the nation's science and technology enterprise''. LLNL operates several of the world's most powerful computers--including today's single most powerful--and has undertaken some of the largest and most compute-intensive simulations ever performed. Ultrascale simulation has been identified as one of the highest priorities in DOE's facilities planning for the next two decades. However, computers at architectural extremes are notoriously difficult to use efficiently. Furthermore, each successful terascale simulation only points out the need for much better ways of interacting with the resulting avalanche of data. Advances in scientific computing research have, therefore, never been more vital to LLNL's core missions than at present. Computational science is evolving so rapidly along every one of its research fronts that to remain on the leading edge, LLNL must engage researchers at many academic centers of excellence. In Fiscal Year 2004, the Institute for Scientific Computing Research (ISCR) served as one of LLNL's main bridges to the academic community with a program of collaborative subcontracts, visiting faculty, student internships, workshops, and an active seminar series. The ISCR identifies researchers from the academic community for computer science and computational science collaborations with LLNL and hosts them for short- and

  7. Federated Search | OSTI, US Dept of Energy Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    To find government research results, first you need to find the right discovery tools. If ... Discovery Tools The deep web is huge - by some estimates, the deep web is more than 500 ...

  8. Scientific Opportunities to Reduce Risk in Nuclear Process Science

    SciTech Connect (OSTI)

    Bredt, Paul R.; Felmy, Andrew R.; Gauglitz, Phillip A.; Hobbs, David T.; Krahn, Steve; Machara, N.; Mcilwain, Michael; Moyer, Bruce A.; Poloski, Adam P.; Subramanian, K.; Vienna, John D.; Wilmarth, B.

    2008-07-18

    Cleaning up the nation’s nuclear weapons complex remains as one of the most technologically challenging and financially costly problems facing the U.S. Department of Energy (DOE). Safety, cost, and technological challenges have often delayed progress in retrieval, processing, and final disposition of high-level waste, spent nuclear fuel, and challenging materials. Some of the issues result from the difficulty and complexity of the technological issues; others have programmatic bases, such as contracting strategies that may provide undue focus on near-term, specific clean-up goals or difficulty in developing and maintaining stakeholder confidence in the proposed solutions. We propose that independent basic fundamental science research focused on the full cleanup life-cycle offers an opportunity to help address these challenges by providing 1) scientific insight into the fundamental mechanisms involved in currently selected processing and disposal options, 2) a rational path to the development of alternative technologies should the primary options fail, 3) confidence that models that predict long-term performance of different disposal options are based upon the best available science, 4) fundamental science discovery that enables transformational solutions to revolutionize the current baseline processes.

  9. ARM - Field Campaign - Single Frequency GPS Water Vapor Network

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    govCampaignsSingle Frequency GPS Water Vapor Network ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Single Frequency GPS Water Vapor Network 2007.07.01 - 2010.06.30 Lead Scientist : John Braun For data sets, see below. Abstract A network of GPS stations, unique in its density and operational characteristics provided continuous, and all weather observations of atmospheric water vapor over horizontal

  10. Scientific and Computational Challenges of the Fusion Simulation Program (FSP)

    SciTech Connect (OSTI)

    William M. Tang

    2011-02-09

    This paper highlights the scientific and computational challenges facing the Fusion Simulation Program (FSP) a major national initiative in the United States with the primary objective being to enable scientific discovery of important new plasma phenomena with associated understanding that emerges only upon integration. This requires developing a predictive integrated simulation capability for magnetically-confined fusion plasmas that are properly validated against experiments in regimes relevant for producing practical fusion energy. It is expected to provide a suite of advanced modeling tools for reliably predicting fusion device behavior with comprehensive and targeted science-based simulations of nonlinearly-coupled phenomena in the core plasma, edge plasma, and wall region on time and space scales required for fusion energy production. As such, it will strive to embody the most current theoretical and experimental understanding of magnetic fusion plasmas and to provide a living framework for the simulation of such plasmas as the associated physics understanding continues to advance over the next several decades. Substantive progress on answering the outstanding scientific questions in the field will drive the FSP toward its ultimate goal of developing the ability to predict the behavior of plasma discharges in toroidal magnetic fusion devices with high physics fidelity on all relevant time and space scales. From a computational perspective, this will demand computing resources in the petascale range and beyond together with the associated multi-core algorithmic formulation needed to address burning plasma issues relevant to ITER - a multibillion dollar collaborative experiment involving seven international partners representing over half the world's population. Even more powerful exascale platforms will be needed to meet the future challenges of designing a demonstration fusion reactor (DEMO). Analogous to other major applied physics modeling projects (e

  11. Historical Network Maps

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata IPv6 Network Network Performance Tools The ESnet Engineering Team Network R&D Software-Defined Networking (SDN) Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science

  12. Nothing But Networking for Residential Network Members | Department...

    Energy Savers

    Nothing But Networking for Residential Network Members Nothing But Networking for Residential Network Members Better Buildings Residential Network Peer Exchange Call: Nothing But ...

  13. PHENIX: Beyond 15 years of discovery

    DOE PAGES-Beta [OSTI]

    Morrison, David; Nagle, James L.

    2015-01-12

    The PHENIX experiment at BNL’s Relativistic Heavy Ion Collider (RHIC) was designed to uncover properties of the quark–gluon plasma (QGP) via rare penetrating probes. Over the past 15 years, the collaboration has delivered on its promised measurements, often with exciting results beyond those originally foreseen. That the QGP behaves as a nearly perfect fluid and that non-photonic electrons are substantially suppressed has led to the use of heavy quarks as probes of the medium. The PHENIX silicon vertex detectors are opening a new arena for QGP studies, and the MPC-EX, a novel forward calorimeter with silicon readout, accesses low-x physicsmore » via direct photons with unprecedented precision. PHENIX has proposed sPHENIX, a major upgrade using the recently acquired BaBar solenoid and full calorimetric coverage and high rate capabilities. sPHENIX will reconstruct jets and extend observables to higher transverse momentum, where comparisons to results from the Large Hadron Collider (LHC) heavy-ion program will provide the most insightful. Following the RHIC program, the nuclear physics community has identified an electron ion collider (EIC) as crucial to the next generation of QCD investigations. The BaBar magnet and sPHENIX calorimetry will be an excellent foundation for a new collaborative pursuit of discovery.« less

  14. PHENIX: Beyond 15 years of discovery

    SciTech Connect (OSTI)

    Morrison, David; Nagle, James L.

    2015-01-12

    The PHENIX experiment at BNL’s Relativistic Heavy Ion Collider (RHIC) was designed to uncover properties of the quark–gluon plasma (QGP) via rare penetrating probes. Over the past 15 years, the collaboration has delivered on its promised measurements, often with exciting results beyond those originally foreseen. That the QGP behaves as a nearly perfect fluid and that non-photonic electrons are substantially suppressed has led to the use of heavy quarks as probes of the medium. The PHENIX silicon vertex detectors are opening a new arena for QGP studies, and the MPC-EX, a novel forward calorimeter with silicon readout, accesses low-x physics via direct photons with unprecedented precision. PHENIX has proposed sPHENIX, a major upgrade using the recently acquired BaBar solenoid and full calorimetric coverage and high rate capabilities. sPHENIX will reconstruct jets and extend observables to higher transverse momentum, where comparisons to results from the Large Hadron Collider (LHC) heavy-ion program will provide the most insightful. Following the RHIC program, the nuclear physics community has identified an electron ion collider (EIC) as crucial to the next generation of QCD investigations. The BaBar magnet and sPHENIX calorimetry will be an excellent foundation for a new collaborative pursuit of discovery.

  15. Secretarial Policy Statement on Scientific Integrity

    Directives, Delegations, and Requirements [Office of Management (MA)]

    2012-03-23

    Science and Technology are the foundation of all Department of Energy (DOE) activities, so it is essential that we be committed to developing and maintaining a culture that fosters the highest levels of scientific integrity.

  16. Secretarial Policy Statement on Scientific Integrity

    Directives, Delegations, and Requirements [Office of Management (MA)]

    2014-06-02

    This Secretarial policy statement is intended to enhance our culture by establishing a unified framework for scientific integrity. This policy applies to all DOE Federal employees. This policy will be reviewed annually. Does not cancel/supersede other directives.

  17. HPSS Yearly Network Traffic

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    HPSS Yearly Network Traffic HPSS Yearly Network Traffic Yearly Summary of IO Traffic Between Storage and Network Destinations These bar charts show the total transfer traffic for...

  18. Opportunities for Sustained Arctic Observations and Scientific

    Office of Scientific and Technical Information (OSTI)

    Collaborations at the US Department of Energy Atmospheric Radiation Measurement (ARM) Facilities on the North Slope of Alaska. (Conference) | SciTech Connect Conference: Opportunities for Sustained Arctic Observations and Scientific Collaborations at the US Department of Energy Atmospheric Radiation Measurement (ARM) Facilities on the North Slope of Alaska. Citation Details In-Document Search Title: Opportunities for Sustained Arctic Observations and Scientific Collaborations at the US

  19. HISTORY OF THE ORIGIN OF THE CHEMICAL ELEMENTS AND THEIR DISCOVERIES...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    The claim of discovery of an element has varied over the centuries. Many claims, e.g., the discovery of certain rare earth elements of the lanthanide series, involved the discovery ...

  20. Michigan Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    New Field Discoveries (Billion Cubic Feet) Michigan Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 2 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  1. Miscellaneous States Shale Gas Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 5 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveri

  2. Mississippi (with State off) Shale Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Mississippi (with State off) Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  3. Alabama Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) Alabama Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 1 1 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  4. Alaska Crude Oil + Lease Condensate Reserves New Field Discoveries (Million

    U.S. Energy Information Administration (EIA) (indexed site)

    Barrels) New Field Discoveries (Million Barrels) Alaska Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 9 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  5. Wyoming Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) Wyoming Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 1 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  6. North Dakota Shale Proved Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) (indexed site)

    Feet) Field Discoveries (Billion Cubic Feet) North Dakota Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 6 2010's 8 2 1 0 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  7. Ohio Crude Oil + Lease Condensate Reserves New Field Discoveries (Million

    U.S. Energy Information Administration (EIA) (indexed site)

    Barrels) New Field Discoveries (Million Barrels) Ohio Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 1 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  8. Oklahoma Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Field Discoveries (Billion Cubic Feet) Oklahoma Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 54 37 47 0 145 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  9. Pennsylvania Shale Proved Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) (indexed site)

    Feet) Field Discoveries (Billion Cubic Feet) Pennsylvania Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 120 2010's 49 162 251 0 8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  10. Texas Crude Oil + Lease Condensate Reserves New Field Discoveries (Million

    U.S. Energy Information Administration (EIA) (indexed site)

    Barrels) New Field Discoveries (Million Barrels) Texas Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 11 2010's 78 33 23 3 10 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  11. West Virginia Shale Proved Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) (indexed site)

    Feet) Field Discoveries (Billion Cubic Feet) West Virginia Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 141 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  12. Colorado Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    New Field Discoveries (Billion Cubic Feet) Colorado Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 4 2010's 0 0 6 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  13. Kansas Crude Oil + Lease Condensate Reserves New Field Discoveries (Million

    U.S. Energy Information Administration (EIA) (indexed site)

    Barrels) New Field Discoveries (Million Barrels) Kansas Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2 2010's 2 2 1 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  14. ASCR Cybersecurity for Scientific Computing Integrity - Research Pathways and Ideas Workshop

    SciTech Connect (OSTI)

    Peisert, Sean; Potok, Thomas E.; Jones, Todd

    2015-06-03

    At the request of the U.S. Department of Energy's (DOE) Office of Science (SC) Advanced Scientific Computing Research (ASCR) program office, a workshop was held June 2-3, 2015, in Gaithersburg, MD, to identify potential long term (10 to +20 year) cybersecurity fundamental basic research and development challenges, strategies and roadmap facing future high performance computing (HPC), networks, data centers, and extreme-scale scientific user facilities. This workshop was a follow-on to the workshop held January 7-9, 2015, in Rockville, MD, that examined higher level ideas about scientific computing integrity specific to the mission of the DOE Office of Science. Issues included research computation and simulation that takes place on ASCR computing facilities and networks, as well as network-connected scientific instruments, such as those run by various DOE Office of Science programs. Workshop participants included researchers and operational staff from DOE national laboratories, as well as academic researchers and industry experts. Participants were selected based on the submission of abstracts relating to the topics discussed in the previous workshop report [1] and also from other ASCR reports, including "Abstract Machine Models and Proxy Architectures for Exascale Computing" [27], the DOE "Preliminary Conceptual Design for an Exascale Computing Initiative" [28], and the January 2015 machine learning workshop [29]. The workshop was also attended by several observers from DOE and other government agencies. The workshop was divided into three topic areas: (1) Trustworthy Supercomputing, (2) Extreme-Scale Data, Knowledge, and Analytics for Understanding and Improving Cybersecurity, and (3) Trust within High-end Networking and Data Centers. Participants were divided into three corresponding teams based on the category of their abstracts. The workshop began with a series of talks from the program manager and workshop chair, followed by the leaders for each of the three

  15. Global Discovery introduced at AAAS 2006 | OSTI, US Dept of Energy...

    Office of Scientific and Technical Information (OSTI)

    OSTI is conducting applied research on a number of challenges related to this vision aimed at turning local discovery into Global Discovery. The benefits for researchers, for ...

  16. Discovery of a 〈210〉-fiber texture in medical-grade metastable...

    Office of Scientific and Technical Information (OSTI)

    Discovery of a 210-fiber texture in medical-grade metastable beta titanium wire This content will become publicly available on May 4, 2017 Title: Discovery of a ...

  17. Search Method for Real-time Knowledge Discovery Modeled on the...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Search Method for Real-time Knowledge Discovery Modeled on the Human Brain Oak Ridge ... information processing properties of the human brain to computational knowledge discovery. ...

  18. EIA - Natural Gas Pipeline Network - Network Configuration &...

    U.S. Energy Information Administration (EIA) (indexed site)

    Network Configuration & System Design About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Network Configuration and ...

  19. Proceedings: Fourth Workshop on Mining Scientific Datasets

    SciTech Connect (OSTI)

    Kamath, C

    2001-07-24

    Commercial applications of data mining in areas such as e-commerce, market-basket analysis, text-mining, and web-mining have taken on a central focus in the JCDD community. However, there is a significant amount of innovative data mining work taking place in the context of scientific and engineering applications that is not well represented in the mainstream KDD conferences. For example, scientific data mining techniques are being developed and applied to diverse fields such as remote sensing, physics, chemistry, biology, astronomy, structural mechanics, computational fluid dynamics etc. In these areas, data mining frequently complements and enhances existing analysis methods based on statistics, exploratory data analysis, and domain-specific approaches. On the surface, it may appear that data from one scientific field, say genomics, is very different from another field, such as physics. However, despite their diversity, there is much that is common across the mining of scientific and engineering data. For example, techniques used to identify objects in images are very similar, regardless of whether the images came from a remote sensing application, a physics experiment, an astronomy observation, or a medical study. Further, with data mining being applied to new types of data, such as mesh data from scientific simulations, there is the opportunity to apply and extend data mining to new scientific domains. This one-day workshop brings together data miners analyzing science data and scientists from diverse fields to share their experiences, learn how techniques developed in one field can be applied in another, and better understand some of the newer techniques being developed in the KDD community. This is the fourth workshop on the topic of Mining Scientific Data sets; for information on earlier workshops, see http://www.ahpcrc.org/conferences/. This workshop continues the tradition of addressing challenging problems in a field where the diversity of applications is

  20. NetworkX

    Energy Science and Technology Software Center (OSTI)

    2004-05-17

    NetworkX (abbreviated NX in the software and documentation) is a package for studying network structure using graph theory.

  1. Dark matter: the next great discovery of particle physics?: Ettore...

    Office of Scientific and Technical Information (OSTI)

    to these remaining questions are being pursued on all frontiers of discovery. In this talk, I will provide an overview of the suite of experiments that is colloquially known as...

  2. DISCOVERY AND CHARACTERIZATION OF AN EXTREMELY DEEP-ECLIPSING...

    Office of Scientific and Technical Information (OSTI)

    We report the discovery of an eclipsing cataclysmic variable with eclipse depths >5.7 mag, ... The optical light curves show a deep, 5-minute eclipse immediately followed by a shallow ...

  3. Pantex night held at discovery center | National Nuclear Security...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    event featured an exhibit on the extinct Megalodon shark as well as a mummy in the Lost Egypt exhibit. B&W Pantex sponsored the shark exhibit. Pantex night held at discovery center...

  4. Robert Curl, Jr. and the Discovery of Fullerenes

    Office of Scientific and Technical Information (OSTI)

    Tommy LaVergne Rice University The 1996 Nobel Prize in Chemistry was awarded to Robert F. Curl, Jr., Richard E. Smalley and Sir Harold Kroto 'for their 1985 discovery of...

  5. DOE-Led Research Team Makes Significant Rare Earth Discovery...

    Office of Environmental Management (EM)

    DOE-Led Research Team Makes Significant Rare Earth Discovery DOE-Led Research Team Makes ... Energy (DOE) has found that rare earth elements (REEs) can be removed from two U.S. ...

  6. Stories of Discovery & Innovation: Trapping the Light Fantastic...

    Office of Science (SC) [DOE]

    Stories of Discovery & Innovation: Trapping the Light Fantastic Print Text Size: A A A Subscribe FeedbackShare Page New solar cell design uses advanced optics and nanotechnology to ...

  7. SAMDI Mass Spectrometry for High Throughput Discovery of Enzyme...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    SAMDI Mass Spectrometry for High Throughput Discovery of Enzyme Function January 15, 2016 11:00AM to 12:00PM Presenter Milan Mrksich, Northwestern University Location Building 446,...

  8. ORNL, partners officially recognized for discovery of elements 115, 117

    ScienceCinema (OSTI)

    Roberto, Jim

    2016-01-15

    The International Union for Pure and Applied Chemistry has announced formal verification of four new chemical elements, recognizing the Department of Energy?s Oak Ridge National Laboratory and its collaborators for the discovery of elements 115 and 117.

  9. Similarity-Driven Discovery of Zeolite Materials for Adsorption...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Similarity-Driven Discovery of Zeolite Materials for Adsorption-Based Separations Previous Next List Richard L. Martin, Thomas F. Willems, Li-Chiang Lin, Jihan Kim, Joseph A....

  10. Robert Curl, Jr. and the Discovery of Fullerenes

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    awarded to Robert F. Curl, Jr., Richard E. Smalley and Sir Harold Kroto 'for their 1985 discovery of "fullerenes," geometric carbon clusters shaped in the pattern of soccer balls. ...

  11. DOE Isotope Program Provides Target Material for the Discovery...

    Office of Science (SC) [DOE]

    Discovery of Superheavy Elements Basic Energy Sciences (BES) BES Home About Research ... Enlarge Photo Image courtesy of source The green dot at the bottom of the glass vial is ...

  12. Growth and Discovery of Novel Materials | The Ames Laboratory

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Growth and Discovery of Novel Materials During this SULI program the student will learn how to grow single crystals of novel intermetallic compounds as part of the on-going Ames...

  13. A network security case study; The Los Alamos National Laboratory integrated computer network

    SciTech Connect (OSTI)

    Dreicer, J.S.; Stoltz, L. )

    1991-01-01

    This paper reports on a study to validate the Graphical Network Representation (GRPHREP) model which is being conducted on the Los Alamos National Laboratory Integrated Computer Network (ICN). The GRPHREP model is a software system application based on graph theory and object-oriented programming methodologies. It codified the Department of Energy (DOE) Order 5637.1, which is concerned with classified computer secret policy, restrictions, and requirements. The Los Alamos ICN is required to control access to and support large-scale scientific and administrative computing. Thus, large-scale scientific and administrative computing. Thus we felt that this large, complex, and dynamic network would provide a good test for the graphical and functional capabilities of the model. Furthermore, the ICN is composed of multiple partitions that reflect the sensitivity and classification of the computation (data) and designate the required clearance level for the user.

  14. Office of Scientific and Technical Information DOE PAGES (Beta) Portal

    Office of Scientific and Technical Information (OSTI)

    Offers Public Access to Scholarly Scientific Publications Resulting from DOE Research Funding | OSTI, US Dept of Energy Office of Scientific and Technical Information Office of Scientific and Technical Information DOE PAGES (Beta) Portal Offers Public Access to Scholarly Scientific Publications Resulting from DOE Research Funding Get a printer-friendly version Recent Presentations Office of Scientific and Technical Information DOE PAGESBeta Portal Offers Public Access to Scholarly Scientific

  15. Cobalt discovery replaces precious metals as industrial catalyst

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Cobalt Discovery Replaces Precious Metals Cobalt discovery replaces precious metals as industrial catalyst Cobalt holds promise as an industrial catalyst with potential applications in such energy-related technologies such as production of biofuels and reduction of carbon dioxide. November 26, 2012 The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. The artwork depicts the

  16. Cobalt discovery replaces precious metals as industrial catalyst

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Cobalt Discovery Replaces Precious Metals Cobalt discovery replaces precious metals as industrial catalyst Cobalt holds promise as an industrial catalyst with potential applications in such energy-related technologies such as production of biofuels and reduction of carbon dioxide. November 26, 2012 The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. The artwork depicts the

  17. Discoveries | U.S. DOE Office of Science (SC)

    Office of Science (SC) [DOE]

    Discoveries Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Program Summaries Brochures Reports Accomplishments Discoveries Nobel Prizes Vignettes Archives Presentations BES and Congress Science for Energy Flow Seeing Matter Nano for Energy Scale of Things Chart Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building

  18. Louisiana--North Coalbed Methane Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  19. Louisiana--South Onshore Shale Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  20. Miscellaneous States Coalbed Methane Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  1. Montana Coalbed Methane Proved Reserves New Field Discoveries (Billion

    U.S. Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  2. Alabama (with State Offshore) Shale Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  3. Alaska (with Total Offshore) Shale Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  4. Arkansas Coalbed Methane Proved Reserves New Field Discoveries (Billion

    U.S. Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  5. Arkansas Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  6. Arkansas Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  7. California (with State off) Shale Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  8. Colorado Coalbed Methane Proved Reserves New Field Discoveries (Billion

    U.S. Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  9. Ohio Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) (indexed site)

    Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  10. Ohio Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Reservoir Discoveries in Old Fields

  11. Pennsylvania Coalbed Methane Proved Reserves New Field Discoveries (Billion

    U.S. Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  12. Pennsylvania Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  13. Flow cytometry aids basic cell biology research and drug discovery

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Flow cytometry aids basic cell biology research and drug discovery Flow cytometry aids basic cell biology research and drug discovery Life Technologies Corporation and LANL have released the Attune® Acoustic Focusing Cytometer, featuring a reduced footprint, reduced consumables, and an affordable price. April 3, 2012 Attune® Acoustic Focusing Cytometer The Attune® Acoustic Focusing Cytometer achieves sample throughput at rates over 10 times faster than other cytometers-up to 1,000 μL per

  14. Utah Crude Oil + Lease Condensate Reserves New Field Discoveries (Million

    U.S. Energy Information Administration (EIA) (indexed site)

    Barrels) Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  15. Utah Natural Gas Liquids Lease Condensate, Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Lease Condensate New Field Discoveries

  16. Virginia Coalbed Methane Proved Reserves New Field Discoveries (Billion

    U.S. Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  17. Virginia Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  18. Virginia Shale Proved Reserves New Reservoir Discoveries in Old Fields

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Reservoir Discoveries in Old Fields

  19. West Virginia Coalbed Methane Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  20. Bioenergy Knowledge Discovery Framework Recognized at National Conference |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Bioenergy Knowledge Discovery Framework Recognized at National Conference Bioenergy Knowledge Discovery Framework Recognized at National Conference December 17, 2014 - 4:14pm Addthis The paper and poster presentation "Bioenergy KDF: Enabling Spatiotemporal Data Synthesis and Research Collaboration" was awarded second place for best paper at the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, held November 4-7 in Dallas,

  1. The Top Quark, Its Discovery, and Subsequent Research

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    The Top Quark, Its Discovery, and Subsequent Research Resources with Additional Information 'Ever since the existence of the bottom (or b) quark was inferred from the discovery of the Upsilon family of resonances at Fermilab in 1977, particle physicists have been on the lookout for its partner, called top (or t). The long search, which occupied experimenters at laboratories around the world, came to a successful conclusion in February 1995 with the announcement that the top quark had been

  2. CERN Announces Discovery of Different Pentaquarks | Jefferson Lab

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    CERN Announces Discovery of Different Pentaquarks Illustration of the possible layout of the quarks in a pentaquark particle such as those discovered at LHCb. The five quarks might be tightly bonded (shown), or they might also be assembled into a meson (one quark and one antiquark) and a baryon (three quarks), weakly bonded together (not shown). Images: © CERN / LHCb Collaboration. CERN Announces Discovery of Different Pentaquarks NEWPORT NEWS, VA, July 15, 2015 - CERN, the European

  3. Supernova Discoveries from the Nearby Supernova Factory (SNfactory) () |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Discoveries from the Nearby Supernova Factory (SNfactory) Title: Supernova Discoveries from the Nearby Supernova Factory (SNfactory) The Nearby Supernova Factory is an experiment designed to collect data on more Type Ia supernovae than have ever been studied in a single project before, and in so doing, to answer some fundamental questions about the nature of the universe. Type Ia supernovae are extraordinarily bright, remarkably uniform objects which make excellent

  4. ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL

    Office of Scientific and Technical Information (OSTI)

    RESOURCES IN THE GREAT BASIN, USA (Technical Report) | SciTech Connect ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL RESOURCES IN THE GREAT BASIN, USA Citation Details In-Document Search Title: ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL RESOURCES IN THE GREAT BASIN, USA This report summarizes the results of Phase I work for a go/no go decision on Phase II funding. In the first objective, we assessed the extent to which

  5. Tools for Discovery Offer Potential Hope for Huntington's | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Tools for Discovery Offer Potential Hope for Huntington's Tools for Discovery Offer Potential Hope for Huntington's May 25, 2011 - 3:24pm Addthis Flora Meilleur prepares protein solutions for structural investigation with neutrons. | Courtesy of ORNL Flickr / Jason Richards Flora Meilleur prepares protein solutions for structural investigation with neutrons. | Courtesy of ORNL Flickr / Jason Richards Charles Rousseaux Charles Rousseaux Senior Communications Specialist (detailee) What

  6. Florida Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  7. Illinois Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  8. Indiana Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  9. Kansas Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) (indexed site)

    Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  10. Kansas Natural Gas Liquids Lease Condensate, Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Lease Condensate New Field Discoveries

  11. Kansas Shale Proved Reserves New Reservoir Discoveries in Old Fields

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Reservoir Discoveries in Old Fields

  12. Kentucky Coalbed Methane Proved Reserves New Field Discoveries (Billion

    U.S. Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries

  13. Kentucky Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  14. Kentucky Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  15. Wyoming Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  16. Final Scientific/Technical Report for Project entitled "Mechanism...

    Office of Scientific and Technical Information (OSTI)

    Final ScientificTechnical Report for Project entitled "Mechanism of Uranium Reduction by Shewanella oneidensis" Citation Details In-Document Search Title: Final Scientific...

  17. PIA - Advanced Test Reactor National Scientific User Facility...

    Energy.gov (indexed) [DOE]

    Advanced Test Reactor National Scientific User Facility Users Week 2009 PIA - Advanced Test Reactor National Scientific User Facility Users Week 2009 (316.78 KB) More Documents & ...

  18. Scientific American: "Tall Trees Sucked Dry by Global Warming...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific American: "Tall Trees Sucked Dry by Global Warming" Scientific American: "Tall Trees Sucked Dry by Global Warming" Climate change will challenge tall trees like ...

  19. Ankur Scientific Energy Technologies Pvt Ltd | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Ankur Scientific Energy Technologies Pvt Ltd Jump to: navigation, search Name: Ankur Scientific Energy Technologies Pvt Ltd Place: Baroda, Gujarat, India Zip: 390 008 Sector:...

  20. A Web Accessible Scientific Workflow System for Performance Monitoring...

    Office of Scientific and Technical Information (OSTI)

    Web Accessible Scientific Workflow System for Performance Monitoring Citation Details In-Document Search Title: A Web Accessible Scientific Workflow System for Performance ...

  1. Web-Accessible Scientific Workflow System for Performance Monitoring...

    Office of Scientific and Technical Information (OSTI)

    Web-Accessible Scientific Workflow System for Performance Monitoring Citation Details In-Document Search Title: Web-Accessible Scientific Workflow System for Performance Monitoring ...

  2. Final scientific report for DOE award title: Improving the Representat...

    Office of Scientific and Technical Information (OSTI)

    scientific report for DOE award title: Improving the Representation of Ice Sedimentation Rates in Global Climate Models Citation Details In-Document Search Title: Final scientific ...

  3. Scientific Computing at Los Alamos National Laboratory (Conference...

    Office of Scientific and Technical Information (OSTI)

    Scientific Computing at Los Alamos National Laboratory Citation Details In-Document Search Title: Scientific Computing at Los Alamos National Laboratory You are accessing a ...

  4. I/O Resources for Scientific Applications at NERSC

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    IO Resources for Scientific Applications at NERSC IO Resources for Scientific Applications at NERSC Introduction NERSC provides a range of online resources to assist users...

  5. Sources for Department of Energy Scientific and Technical Reports...

    Office of Scientific and Technical Information (OSTI)

    Sources for Department of Energy Scientific and Technical Reports You can find full-text scientific and technical reports produced since 1991 (and some reports published prior to ...

  6. OSTIblog Articles in the scientific integrity Topic | OSTI, US...

    Office of Scientific and Technical Information (OSTI)

    OSTI and Its Mission Highlighted in Secretary Chu's Policy Statement on Scientific Integrity by Peter Lincoln 17 May, 2012 in Science Communications The Office of Scientific and ...

  7. VisIt - 3D Scientific Visualization

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    VisIt VisIt - 3D Scientific Visualization Description and Overview VisIt is a point-and-click 3D scientific visualization application that supports most common visualization techniques (e.g., iso-contouring and volume rendering) on structured and unstructured grids. Due to its distributed and parallel architecture, VisIt is able to handle very large datasets interactively. In addition, VisIt is extensible, allowing users to add data loaders or additional analysis tools to VisIt. The NERSC

  8. Computers as Scientific Peers | GE Global Research

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Computers as Intellectual Peers in Scientific Research Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) Computers as Intellectual Peers in Scientific Research Emily LeBlanc 2015.09.03 One of the most exciting futurist notions is a machine that can think like a human. Although we are not presently able to have true

  9. Novel Visual and Analytical Methods in Repurposing Legacy Scientific Code - A Case Study

    SciTech Connect (OSTI)

    Oehmen, Christopher S.; Curtis, Darren S.; Phillips, Aaron R.; Peterson, Elena S.

    2013-07-23

    Scientific computing is dominated by team-authored legacy code that has evolved over decades with the purpose of capturing the evolving understanding of a scientific discipline. Accumulated deprecated code, various optimization techniques, and evolving algorithms lead to convoluted source code that is impractical to reverse engineer using mainstream methods. This prevents codes from being truly repeatable or understandable, which are two of the most essential needs in scientific computing. We refactored a long-standing implementation of a common biosequence alignment algorithm in an effort to reproduce its salient behaviors in usable form. Because of the sheer size and complexity of this code base, we developed custom tools to visualize and manipulate the source code behavior under a variety of conditions. We present a case study of extracting and refactoring the algorithmic core and a novel process of discovery/prototyping/testing using a combination of openly available and custom-built tools. The result is a reduction in code size of over 2 orders of magnitude while reconstructing the key protein alignment function in BLAST

  10. OSTI's E-print Network continues rapid growth | OSTI, US Dept of Energy

    Office of Scientific and Technical Information (OSTI)

    Office of Scientific and Technical Information Office of Scientific & Technical Information NEWS MEDIA CONTACT: Cathey Daniels, (865) 576-9539 FOR IMMEDIATE RELEASE January 17, 2006 OSTI's E-print Network continues rapid growth Created by scientists for scientists, expanded 39 percent in past year Oak Ridge, TN - The E-print Network (www.osti.gov/eprints), a communications hub created by scientists for scientists worldwide, currently provides full-text searching of more than 730,000

  11. Knowledge Discovery from Massive Healthcare Claims Data

    SciTech Connect (OSTI)

    Chandola, Varun; Sukumar, Sreenivas R; Schryver, Jack C

    2013-01-01

    The role of big data in addressing the needs of the present healthcare system in US and rest of the world has been echoed by government, private, and academic sectors. There has been a growing emphasis to explore the promise of big data analytics in tapping the potential of the massive healthcare data emanating from private and government health insurance providers. While the domain implications of such collaboration are well known, this type of data has been explored to a limited extent in the data mining community. The objective of this paper is two fold: first, we introduce the emerging domain of big"healthcare claims data to the KDD community, and second, we describe the success and challenges that we encountered in analyzing this data using state of art analytics for massive data. Specically, we translate the problem of analyzing healthcare data into some of the most well-known analysis problems in the data mining community, social network analysis, text mining, and temporal analysis and higher order feature construction, and describe how advances within each of these areas can be leveraged to understand the domain of healthcare. Each case study illustrates a unique intersection of data mining and healthcare with a common objective of improving the cost-care ratio by mining for opportunities to improve healthcare operations and reducing hat seems to fall under fraud, waste,and abuse.

  12. SIGNATURES OF ILLICIT NUCLEAR PROCUREMENT NETWORKS: AN OVERVIEW OF PRELIMINARY APPROACHES AND RESULTS

    SciTech Connect (OSTI)

    Webster, Jennifer B.; Erikson, Luke E.; Gastelum, Zoe N.; Lewis, Valerie A.; Best, Daniel M.; Hogan, Emilie A.; Chikkagoudar, Satish

    2014-05-12

    The illicit trafficking of strategic nuclear commodities (defined here as the goods needed for a covert nuclear program excluding special nuclear materials) poses a significant challenge to the international nuclear nonproliferation community. Export control regulations, both domestically and internationally, seek to inhibit the spread of strategic nuclear commodities by restricting their sale to parties that may use them for nefarious purposes. However, export controls alone are not sufficient for preventing the illicit transfer of strategic nuclear goods. There are two major pitfalls to relying solely on export control regulations for the deterrence of proliferation of strategic goods. First, export control enforcement today relies heavily on the honesty and willingness of participants to adhere to the legal framework already in place. Secondly, current practices focus on the evaluation of single records which allow for the necessary goods to be purchased separately and hidden within the thousands of legitimate commerce transactions that occur each day, disregarding strategic information regarding several purchases. Our research presents two preliminary data-centric approaches for investigating procurement networks of strategic nuclear commodities. Pacific Northwest National Laboratory (PNNL) has been putting significant effort into nonproliferation activities as an institution, both in terms of the classical nuclear material focused approach and in the examination of other strategic goods necessary to implement a nuclear program. In particular, the PNNL Signature Discovery Initiative (SDI) has codified several scientific methodologies for the detection, characterization, and prediction of signatures that are indicative of a phenomenon of interest. The methodologies and tools developed under SDI have already been applied successfully to problems in bio-forensics, cyber security and power grid balancing efforts and they have now made the nonproliferation of

  13. 2006 XSD Scientific Software User Survey.

    SciTech Connect (OSTI)

    Jemian, P. R.

    2007-01-22

    In preparation for the 2006 XSD Scientific Software workshop, our committee sent a survey on June 16 to 100 users in the APS user community. This report contains the survey and the responses we received. The responses are presented in the order received.

  14. National Geothermal Data System: Transforming the Discovery, Access, and Analytics of Data for Geothermal Exploration

    SciTech Connect (OSTI)

    Patten, Kim

    2013-05-01

    Compendium of Papers from the 38th Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California February 11-13, 2013 The National Geothermal Data System (NGDS) is a distributed, interoperable network of data collected from state geological surveys across all fifty states and the nation’s leading academic geothermal centers. The system serves as a platform for sharing consistent, reliable, geothermal-relevant technical data with users of all types, while supplying tools relevant for their work. As aggregated data supports new scientific findings, this content-rich linked data ultimately broadens the pool of knowledge available to promote discovery and development of commercial-scale geothermal energy production. Most of the up-front risks associated with geothermal development stem from exploration and characterization of subsurface resources. Wider access to distributed data will, therefore, result in lower costs for geothermal development. NGDS is on track to become fully operational by 2014 and will provide a platform for custom applications for accessing geothermal relevant data in the U.S. and abroad. It is being built on the U.S. Geoscience Information Network (USGIN) data integration framework to promote interoperability across the Earth sciences community. The basic structure of the NGDS employs state-of-the art informatics to advance geothermal knowledge. The following four papers comprising this Open-File Report are a compendium of presentations, from the 38th Annual Workshop on Geothermal Reservoir Engineering, taking place February 11-13, 2013 at Stanford University, Stanford, California. “NGDS Geothermal Data Domain: Assessment of Geothermal Community Data Needs,” outlines the efforts of a set of nationwide data providers to supply data for the NGDS. In particular, data acquisition, delivery, and methodology are discussed. The paper addresses the various types of data and metadata required and why simple links to existing

  15. DOE Awards Over a Billion Supercomputing Hours to Address Scientific...

    Office of Environmental Management (EM)

    in oceans, and simulate clouds on a global scale Biology, including understanding protein membranes to improve drug discovery, diagnostics and better treatment of diseases. ...

  16. Announcements | OSTI, US Dept of Energy Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    Science Discovery Technologies: Federated Search and Speech-Indexed Multimedia 052511 CERN Multimedia Now Playing at DOE's ScienceCinema 020811 ScienceCinema Gives You ...

  17. OSTI History, Office of Scientific and Technical Information...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    OSTI History Accelerating Science Discovery: From the '40s to the Future Timeline History 1940 Answering the Call 1950s Expanding Internationally 1960s Supporting Education 1970s...

  18. Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric

    Alternative Fuels and Advanced Vehicles Data Center

    Dune Buggy Camp Discovery Helps Kids Build an Electric Dune Buggy to someone by E-mail Share Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Facebook Tweet about Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Twitter Bookmark Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Google Bookmark Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune

  19. DOE Science Networking Challenge: Roadmap to 2008

    SciTech Connect (OSTI)

    R. Roy Whitney; Larry Price

    2003-06-01

    This report establishes a roadmap for a new approach to the DOE Science Networking and Services needed for science in the U.S. Department of Energy in the 21st century. It has become increasingly clear 2 that the network provided for DOE science in the past will not be adequate to keep that science competitive in the future. This roadmap, if implemented and followed during the next five years, will solve that problem. The past 5 years have seen a broad and general movement toward the assumption of and reliance on networked systems in all of the large new initiatives for DOE science. It is clear that the success of science depends increasingly on the ability of scientists to move large amounts of data, access computing and data resources, and collaborate in real time from multiple remote locations. It is also abundantly clear that business-as-usual in the network and information services that underpin the scientific collaborations will fall woefully short of what is needed. New capabilities such as computational and data grids, high-speed wireless networking, super-high-speed metro-scale networks, and cheap gigabit Ethernet have arrived in turn and have been enthusiastically incorporated into the arsenal of science, each permitting substantial new collaborative abilities and efficiencies. However, sophisticated structures and services using basic network connections can be used effectively only if the network infrastructure itself provides the necessary environment. Increasingly, the network must become a collaborative information exchange, with a core of higher-level services supported by network providers in addition to basic bandwidth and connectivity.

  20. Protein Co-Expression Network Analysis (ProCoNA)

    SciTech Connect (OSTI)

    Gibbs, David L.; Baratt, Arie; Baric, Ralph; Kawaoka, Yoshihiro; Smith, Richard D.; Orwoll, Eric S.; Katze, Michael G.; Mcweeney, Shannon K.

    2013-06-01

    Biological networks are important for elucidating disease etiology due to their ability to model complex high dimensional data and biological systems. Proteomics provides a critical data source for such models, but currently lacks robust de novo methods for network construction, which could bring important insights in systems biology. We have evaluated the construction of network models using methods derived from weighted gene co-expression network analysis (WGCNA). We show that approximately scale-free peptide networks, composed of statistically significant modules, are feasible and biologically meaningful using two mouse lung experiments and one human plasma experiment. Within each network, peptides derived from the same protein are shown to have a statistically higher topological overlap and concordance in abundance, which is potentially important for inferring protein abundance. The module representatives, called eigenpeptides, correlate significantly with biological phenotypes. Furthermore, within modules, we find significant enrichment for biological function and known interactions (gene ontology and protein-protein interactions). Biological networks are important tools in the analysis of complex systems. In this paper we evaluate the application of weighted co-expression network analysis to quantitative proteomics data. Protein co-expression networks allow novel approaches for biological interpretation, quality control, inference of protein abundance, a framework for potentially resolving degenerate peptide-protein mappings, and a biomarker signature discovery.

  1. Advance Network Reservation and Provisioning for Science

    SciTech Connect (OSTI)

    Balman, Mehmet; Chaniotakis, Evangelos; Shoshani, Arie; Sim, Alex

    2009-07-10

    We are witnessing a new era that offers new opportunities to conduct scientific research with the help of recent advancements in computational and storage technologies. Computational intensive science spans multiple scientific domains, such as particle physics, climate modeling, and bio-informatics simulations. These large-scale applications necessitate collaborators to access very large data sets resulting from simulations performed in geographically distributed institutions. Furthermore, often scientific experimental facilities generate massive data sets that need to be transferred to validate the simulation data in remote collaborating sites. A major component needed to support these needs is the communication infrastructure which enables high performance visualization, large volume data analysis, and also provides access to computational resources. In order to provide high-speed on-demand data access between collaborating institutions, national governments support next generation research networks such as Internet 2 and ESnet (Energy Sciences Network). Delivering network-as-a-service that provides predictable performance, efficient resource utilization and better coordination between compute and storage resources is highly desirable. In this paper, we study network provisioning and advanced bandwidth reservation in ESnet for on-demand high performance data transfers. We present a novel approach for path finding in time-dependent transport networks with bandwidth guarantees. We plan to improve the current ESnet advance network reservation system, OSCARS [3], by presenting to the clients, the possible reservation options and alternatives for earliest completion time and shortest transfer duration. The Energy Sciences Network (ESnet) provides high bandwidth connections between research laboratories and academic institutions for data sharing and video/voice communication. The ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) establishes

  2. DOE Advanced Scientific Computing Advisory Committee (ASCAC) Subcommittee Report on Scientific and Technical Information

    SciTech Connect (OSTI)

    Hey, Tony; Agarwal, Deborah; Borgman, Christine; Cartaro, Concetta; Crivelli, Silvia; Van Dam, Kerstin Kleese; Luce, Richard; Arjun, Shankar; Trefethen, Anne; Wade, Alex; Williams, Dean

    2015-09-04

    The Advanced Scientific Computing Advisory Committee (ASCAC) was charged to form a standing subcommittee to review the Department of Energy’s Office of Scientific and Technical Information (OSTI) and to begin by assessing the quality and effectiveness of OSTI’s recent and current products and services and to comment on its mission and future directions in the rapidly changing environment for scientific publication and data. The Committee met with OSTI staff and reviewed available products, services and other materials. This report summaries their initial findings and recommendations.

  3. Groundwater Monitoring Network

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Groundwater Monitoring Network Groundwater Monitoring Network The network includes 92 natural sources, 102 regional aquifer wells, 41 intermediate-depth wells and springs, and 67 wells in alluvium in canyons. August 1, 2013 Map of LANL's groundwater monitoring network Map of LANL's groundwater monitoring network

  4. NREL: News - Scientific American' Recognizes Solar Cell Research

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Scientific American' Recognizes Solar Cell Research Monday November 11, 2002 Magazine Names NREL to its First "Scientific American 50" List Golden, CO. - The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) has been named by Scientific American magazine as one of the Scientific American 50 - the noted magazine's first list recognizing annual contributions to science and technology that provide a vision of a better future. Announced today, the Scientific American

  5. Report for the Office of Scientific and Technical Information: Population

    Office of Scientific and Technical Information (OSTI)

    Modeling of the Emergence and Development of Scientific Fields (Technical Report) | SciTech Connect Technical Report: Report for the Office of Scientific and Technical Information: Population Modeling of the Emergence and Development of Scientific Fields Citation Details In-Document Search Title: Report for the Office of Scientific and Technical Information: Population Modeling of the Emergence and Development of Scientific Fields The accelerated development of digital libraries and

  6. Secretary Chu issues policy statement on scientific integrity and the

    Office of Scientific and Technical Information (OSTI)

    importance of transparent access to scientific information | OSTI, US Dept of Energy Office of Scientific and Technical Information Secretary Chu issues policy statement on scientific integrity and the importance of transparent access to scientific information Back to the OSTI News Listing for 2012 In response to the White House memorandum asking all federal agencies to establish a scientific integrity policy, Energy Secretary Steven Chu recently issued the Secretarial Policy Statement on

  7. Evidence for neutrino mass: A decade of discovery

    SciTech Connect (OSTI)

    Heeger, Karsten M.

    2004-12-08

    Neutrino mass and mixing are amongst the major discoveries of recent years. From the observation of flavor change in solar and atmospheric neutrino experiments to the measurements of neutrino mixing with terrestrial neutrinos, recent experiments have provided consistent and compelling evidence for the mixing of massive neutrinos. The discoveries at Super-Kamiokande, SNO, and KamLAND have solved the long-standing solar neutrino problem and demand that we make the first significant revision of the Standard Model in decades. Searches for neutrinoless double-beta decay probe the particle nature of neutrinos and continue to place limits on the effective mass of the neutrino. Possible signs of neutrinoless double-beta decay will stimulate neutrino mass searches in the next decade and beyond. I review the recent discoveries in neutrino physics and the current evidence for massive neutrinos.

  8. Interconnection networks

    DOE Patents [OSTI]

    Faber, V.; Moore, J.W.

    1988-06-20

    A network of interconnected processors is formed from a vertex symmetric graph selected from graphs GAMMA/sub d/(k) with degree d, diameter k, and (d + 1)exclamation/ (d /minus/ k + 1)exclamation processors for each d greater than or equal to k and GAMMA/sub d/(k, /minus/1) with degree d /minus/ 1, diameter k + 1, and (d + 1)exclamation/(d /minus/ k + 1)exclamation processors for each d greater than or equal to k greater than or equal to 4. Each processor has an address formed by one of the permutations from a predetermined sequence of letters chosen a selected number of letters at a time, and an extended address formed by appending to the address the remaining ones of the predetermined sequence of letters. A plurality of transmission channels is provided from each of the processors, where each processor has one less channel than the selected number of letters forming the sequence. Where a network GAMMA/sub d/(k, /minus/1) is provided, no processor has a channel connected to form an edge in a direction delta/sub 1/. Each of the channels has an identification number selected from the sequence of letters and connected from a first processor having a first extended address to a second processor having a second address formed from a second extended address defined by moving to the front of the first extended address the letter found in the position within the first extended address defined by the channel identification number. The second address is then formed by selecting the first elements of the second extended address corresponding to the selected number used to form the address permutations. 9 figs.

  9. AmeriFlux Measurement Network: Science Team Research

    SciTech Connect (OSTI)

    Law, B E

    2012-12-12

    Research involves analysis and field direction of AmeriFlux operations, and the PI provides scientific leadership of the AmeriFlux network. Activities include the coordination and quality assurance of measurements across AmeriFlux network sites, synthesis of results across the network, organizing and supporting the annual Science Team Meeting, and communicating AmeriFlux results to the scientific community and other users. Objectives of measurement research include (i) coordination of flux and biometric measurement protocols (ii) timely data delivery to the Carbon Dioxide Information and Analysis Center (CDIAC); and (iii) assurance of data quality of flux and ecosystem measurements contributed by AmeriFlux sites. Objectives of integration and synthesis activities include (i) integration of site data into network-wide synthesis products; and (ii) participation in the analysis, modeling and interpretation of network data products. Communications objectives include (i) organizing an annual meeting of AmeriFlux investigators for reporting annual flux measurements and exchanging scientific information on ecosystem carbon budgets; (ii) developing focused topics for analysis and publication; and (iii) developing data reporting protocols in support of AmeriFlux network goals.

  10. Published New Reservoir Proved Revision Revision New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    Shale natural gas proved reserves, reserves changes, and production, wet after lease separation, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 0 0 0 0 0 0 0 0 0 0 0 Lower 48 States 159,115 12,113 27,643 26,199 5,029 7,657 35,401

  11. The Discovery of the Higgs Boson: America's Role

    SciTech Connect (OSTI)

    2013-10-08

    The discovery of the Higgs boson was an international endeavor, involving thousands of physicists from across the world. While the accelerator at which the experimental work was done is located on Europe, the US supplied more physicists than any other single country. America had a very large role in the discovery of the Higgs particle and continues to have a leading role in the ongoing studies of the boson's properties. This video describes some of the contributions of U.S. universities and laboratories.

  12. Louisiana Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Louisiana Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 772 7 16 23 17 1990's 3 68 75 5 25 63 13 11 57 44 2000's 45 27 68 12 18 6 27 0 191 257 2010's 48 47 5 17 57 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  13. Michigan Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Michigan Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 115 47 48 1980's 33 18 16 15 30 42 65 90 96 30 1990's 39 16 7 0 0 10 76 0 6 0 2000's 15 50 8 0 0 11 1 0 4 19 2010's 2 14 7 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  14. Oklahoma Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Oklahoma Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 181 155 197 1980's 168 412 376 53 53 94 14 11 26 91 1990's 50 10 0 25 0 23 30 2 4 0 2000's 20 13 14 6 8 1 0 6 21 0 2010's 51 47 44 2 135 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015

  15. Louisiana - South Onshore Dry Natural Gas Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) Louisiana - South Onshore Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 200 641 167 1980's 227 614 154 86 30 31 6 6 23 9 1990's 0 68 75 5 25 22 9 11 45 23 2000's 21 17 49 7 9 6 10 0 34 4 2010's 1 47 5 0 32 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  16. Louisiana Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) Louisiana Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 3 2010's 6 2 1 4 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  17. Louisiana Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) Louisiana Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 1 1 1 5 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field

  18. Louisiana State Offshore Dry Natural Gas Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) Louisiana State Offshore Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 99 0 9 0 8 1990's 0 0 0 0 0 9 0 0 12 21 2000's 18 9 10 0 4 0 17 0 0 0 2010's 0 0 0 16 25 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  19. Louisiana--North Coalbed Methane Proved Reserves New Reservoir Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    in Old Fields (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Reservoir Discoveries in Old Fields

  20. Lower 48 States Coalbed Methane Proved Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) States Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries Lower 48 States Coalbed Methane Proved Reserves,

  1. Lower 48 States Coalbed Methane Proved Reserves New Reservoir Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    in Old Fields (Billion Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Lower 48 States Coalbed Methane Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 91 2010's 0 13 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  2. Michigan Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) Michigan Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 5 2010's 0 1 1 2 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  3. Michigan Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) Michigan Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 10 2010's 0 8 3 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field

  4. Michigan Shale Proved Reserves New Reservoir Discoveries in Old Fields

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Shale Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Reservoir Discoveries in Old Fields Michigan Shale Gas Proved Reserves,

  5. Miscellaneous States Crude Oil + Lease Condensate New Reservoir Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    in Old Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) Miscellaneous States Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages:

  6. Miscellaneous States Shale Gas Proved Reserves New Reservoir Discoveries in

    U.S. Energy Information Administration (EIA) (indexed site)

    Old Fields (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Reservoir Discoveries in Old Fields

  7. Mississippi Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) Mississippi Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  8. Mississippi Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) Mississippi Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1 2010's 0 1 1 0 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field

  9. Montana Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Reservoir Discoveries in Old Fields

  10. Montana Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) Montana Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 2 1 1 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  11. Montana Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) Montana Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 2 10 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field

  12. Montana Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries Montana Shale Gas Proved Reserves, Reserves Changes, and Production

  13. Montana Shale Proved Reserves New Reservoir Discoveries in Old Fields

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Montana Shale Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 1 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New

  14. Nebraska Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Reservoir Discoveries in Old Fields

  15. Nebraska Crude Oil + Lease Condensate Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) Nebraska Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 1 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field

  16. New Mexico Coalbed Methane Proved Reserves New Field Discoveries (Billion

    U.S. Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries New Mexico Coalbed Methane Proved Reserves, Reserves

  17. Alabama Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) Alabama Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  18. Arkansas Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Reservoir Discoveries in Old Fields

  19. Arkansas Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) (indexed site)

    Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Reservoir Discoveries in Old Fields

  20. Arkansas Shale Proved Reserves New Reservoir Discoveries in Old Fields

    U.S. Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Reservoir Discoveries in Old Fields