National Library of Energy BETA

Sample records for networking scientific discovery

  1. 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 ...

  2. 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

  3. 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.

  4. 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

  5. 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.

  6. Role of Modeling and Simulation in Scientific Discovery

    Broader source: Energy.gov [DOE]

    Scientific discovery, or understanding, involves the formulation of theory to explain observed phenomena, the design and execution of experiments to test theory and the feedback of experimental results to evolve theory.

  7. What Are the Computational Keys to Future Scientific Discoveries?

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    What are the Computational Keys to Future Scientific Discoveries? What Are the Computational Keys to Future Scientific Discoveries? NERSC Develops a Data Intensive Pilot Program to Help Scientists Find Out August 23, 2012 Linda Vu,lvu@lbl.gov, +1 510 495 2402 ALS.jpg Advanced Light Source at the Lawrence Berkeley National Laboratory. (Photo by: Roy Kaltschmidt, Berkeley Lab) A new camera at the hard x-ray tomography beamline of Lawrence Berkeley National Laboratory's (Berkeley Lab's) Advanced

  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. 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.

  10. 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...

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

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy -CERN Agreement Paves Way for New Era of Scientific Discovery U.S.-CERN Agreement Paves Way for New Era of Scientific Discovery May 7, 2015 - 1:27pm Addthis NEWS MEDIA CONTACT (202) 586-4940 A new agreement between the United States and the European Organization for Nuclear 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 and our universe. The

  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. Scientific Solutions (TRL 5 6 Component)- Underwater Active Acoustic Monitoring Network for Marine and Hydrokinetic Energy

    Office of Energy Efficiency and Renewable Energy (EERE)

    Scientific Solutions (TRL 5 6 Component) - Underwater Active Acoustic Monitoring Network for Marine and Hydrokinetic Energy

  15. 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.

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

    Broader source: All U.S. Department of Energy (DOE) Office 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:

  17. 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

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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

  3. 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.

  4. Accelerating Scientific Discovery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Co-PI's: Galen Shipman, Bobby Sumpter, Olivier Delaire Mantid - Joint Development with ISIS, STFC Rutherford Appleton Laboratory Ryan Adamson, Jose Borreguero, Blake Caldwell, ...

  5. Next Generation Networking | U.S. DOE Office of Science (SC)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Next Generation Networking 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 Scientific Computing Research U.S.

  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. Choosing experiments to accelerate collective discovery

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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

  8. 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.

  9. 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.

  10. 2012 Scientific Collaborations at Extreme-Scale | U.S. DOE Office of

    Office of Science (SC) Website

    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

  11. 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.

  12. Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ESnet About ESnet Our Mission The Network ESnet History Governance & Policies Career Opportunities ESnet Staff & Org Chart Contact Us 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 About ESnet A Platform for Science Discovery The Energy Sciences Network (ESnet) is a high-performance, unclassified network built to

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

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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. Decades of Discovery

    DOE R&D Accomplishments [OSTI]

    2011-06-01

    For the past two-and-a-half decades, the Office of Science at the U.S. Department of Energy has been at the forefront of scientific discovery. Over 100 important discoveries supported by the Office of Science are represented in this document.

  15. 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.

  16. 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

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

    Broader source: Energy.gov (indexed) [DOE]

    integrates applied mathematics, computer science and computational science in the physical, biological and environmental sciences for scientific discovery on petascale computers. ...

  18. September is Scientific Supercomputing Month

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  19. 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.

  20. 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.

  1. Scientific Impact

    Broader source: All U.S. Department of Energy (DOE) Office 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

  2. Discovery in Action - Pacific Northwest National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Discovery in Action Discovery in Action

  3. Discovery Science

    Broader source: All U.S. Department of Energy (DOE) Office 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

  4. The National Energy Research Scientific Computing Center: Forty...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The National Energy Research Scientific Computing Center: Forty Years of Supercomputing ... discovery has been evident in both simulation and data analysis for many years. ...

  5. 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 ...

  6. 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 ...

  7. Advanced Scientific Computing Research

    Broader source: All U.S. Department of Energy (DOE) Office 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 Dave Higdon (505) 667-2091 Email Fulfilling the potential of emerging computing systems and architectures beyond today's tools and techniques to deliver

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  9. The Network

    Broader source: All U.S. Department of Energy (DOE) Office 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

  10. September is Scientific Supercomputing Month

    Broader source: All U.S. Department of Energy (DOE) Office 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

  11. 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.

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

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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

  13. Scientific Bio

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  14. Advanced Scientific Computing Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

  15. 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.

  16. Scientific Achievement

    Broader source: All U.S. Department of Energy (DOE) Office 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---

  17. 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 ...

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

    Office of Scientific and Technical Information (OSTI)

    Prize-winning work? Science Accelerator, developed by the Office of Scientific and Technical Information(OSTI) to advance discovery and to deliver science information, is a ...

  19. 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. ...

  20. Scientific Objective

    Broader source: All U.S. Department of Energy (DOE) Office 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

  1. 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.

  2. Supercomputers Drive Discovery of Materials for More Efficient Carbon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Capture | U.S. DOE Office of Science (SC) Supercomputers Drive Discovery of Materials for More Efficient Carbon Capture 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 Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585

  3. 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

  4. NERSC Role in Advanced Scientific Computing Research Katherine Yelick

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Advanced Scientific Computing Research Katherine Yelick NERSC Director Requirements Workshop NERSC Mission The mission of the National Energy Research Scientific Computing Center (NERSC) is to accelerate the pace of scientific discovery by providing high performance computing, information, data, and communications services for all DOE Office of Science (SC) research. Sample Scientific Accomplishments at NERSC 3 Award-winning software uses massively-parallel supercomputing to map hydrocarbon

  5. 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. ...

  6. 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 ...

  7. 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.

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

    Office of Science (SC) Website

    (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

  9. 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 ; ...

  10. DOE Announces First Awards in Scientific Discovery through Advanced

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Technologies | Department of Energy 16 Million for 54 Projects to Help Commercialize Promising Energy Technologies DOE Announces $16 Million for 54 Projects to Help Commercialize Promising Energy Technologies June 21, 2016 - 2:52pm Addthis News Media Contact 202-586-4940 DOENews@hq.doe.gov WASHINGTON -The U.S. Department of Energy (DOE) today announced nearly $16 million in funding to help businesses move promising energy technologies from DOE's National Laboratories to the

  11. 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.

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

    Broader source: All U.S. Department of Energy (DOE) Office 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 ...

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

    Broader source: All U.S. Department of Energy (DOE) Office 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 ...

  14. 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.

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

    Office of Science (SC) Website

    Historical information on the previous portfolios can be found on the SciDAC web site. ... Email a Friend Email link to: send SciDAC Web Site SciDAC Logo Meetings and Workshops ...

  16. 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

  17. 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.

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  19. 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 ...

  20. BNL Discovery to Deployment

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Discovery to Deployment: Chemistry for Sustainable Energy Alex Harris Chair, BNL Chemistry Department State Energy Advisory Board October 10, 2012 Topics  BNL Energy Research in Sustainable Chemical Conversion  Fuel Cell Electrocatalysis: Discovery to Deployment 2 Brookhaven Mission, Part I: "Advance photon sciences, energy, and environment-related research and apply them to 21 st Century problems of critical importance to the Nation." Brookhaven Energy R&D Basic Research,

  1. Decades of Discovery

    Broader source: All U.S. Department of Energy (DOE) Office 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 ...

  2. 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.

  3. Scientific Advisory Committee

    Broader source: All U.S. Department of Energy (DOE) Office 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,...

  4. Index of /documents/public/ScientificWriting

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ScientificWriting

  5. Decades of Discovery

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  7. Decades of Discovery

    Broader source: All U.S. Department of Energy (DOE) Office 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

  8. LBNL-41172 Discovery

    Broader source: All U.S. Department of Energy (DOE) Office 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

  9. Edison Electrifies Scientific Computing

    Broader source: All U.S. Department of Energy (DOE) Office 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

  10. 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,

  11. BES Science Network Requirements

    Broader source: All U.S. Department of Energy (DOE) Office 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

  12. Scientific Leadership - JCAP

    Broader source: All U.S. Department of Energy (DOE) Office 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

  13. Scientific Exchange Program | Photosynthetic Antenna Research Center

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Scientific Exchange Program Scientific Exchange Program Applications due February

  14. Accelerating Electrolyte Discovery for Energy Storage with High Throughput

    Broader source: All U.S. Department of Energy (DOE) Office 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

  15. 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

  16. 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.

  17. A Passion for Discovery

    ScienceCinema (OSTI)

    Peter Freund

    2010-01-08

    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.

  18. Network Maps

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  19. 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.

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (Conference) | SciTech Connect Conference: HISTORY OF THE ORIGIN OF THE CHEMICAL ELEMENTS AND THEIR DISCOVERIES. Citation Details In-Document Search Title: HISTORY OF THE ORIGIN OF THE CHEMICAL ELEMENTS AND THEIR DISCOVERIES. × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional information resources in

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

  2. 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 ...

  3. Materials Discovery | Materials Science | NREL

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  5. NERSC Oakland Scientific Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2012 February 1-2, 2012 NERSC Oakland Scientific Facility Debugging with DDT Woo-Sun Yang NERSC User Services Group Why a Debugger? * It makes it easy to find a bug in your...

  6. Scientific Advisory Committee

    Broader source: All U.S. Department of Energy (DOE) Office 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, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

  7. Scientific Advisory Committee

    Broader source: All U.S. Department of Energy (DOE) Office 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, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

  8. Scientific Advisory Committee

    Broader source: All U.S. Department of Energy (DOE) Office 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, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

  9. Scientific Cloud Computing Misconceptions

    Broader source: All U.S. Department of Energy (DOE) Office 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

  10. 'Most Influential Scientific Minds'

    Broader source: All U.S. Department of Energy (DOE) Office 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

  11. Scientific Advisory Committee

    Broader source: All U.S. Department of Energy (DOE) Office 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, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

  12. Scientific Advisory Committee

    Broader source: All U.S. Department of Energy (DOE) Office 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, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

  13. Scientific Advisory Committee

    Broader source: All U.S. Department of Energy (DOE) Office 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, strategic planning, and Participating Research Team (PRT) proposals and performance. Current members of the committee, as of January 2016, are Lou Terminello, (chair), Pacific Northwest National Laboratory Harald Ade, North Carolina State University David L. Brown, Berkeley Lab George Crabtree, Argonne National

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

    Office of Science (SC) Website

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

  15. 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

  16. 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.

  17. 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.

  18. Accelerating Scientific Workflows

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    with the Burst Buffer: Accelerating Scientific Workflows in Chombo-Crunch Andrey Ovsyannikov* (NERSC, LBL) with David Trebotich, Brian Van Straalen (CRD, LBL) August 22 nd , 2016 *aovsyannikov@lbl.gov Carbon sequestration Main goal is to enable accurate prediction of the fate of geologically stored CO 2 Acetate solution Pore scale 100 µm Pore scale Field scale Flow and transport typically simulated at field scale CO 2 trapping mechanisms governed by emergent processes at pore (micro) scale è

  19. REVIEW OF SCIENTIFIC INSTRUMENTS

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    REVIEW OF SCIENTIFIC INSTRUMENTS 81, 123503 (2010) The rotating wall machine: A device to study ideal and resistive magnetohydrodynamic stability under variable boundary conditions C. Paz-Soldan, W. F. Bergerson, M. I. Brookhart, D. A. Hannum, R. Kendrick, G. Fiksel, and C. B. Forest Department of Physics, University of Wisconsin, 1150 University Ave, Madison, Wisconsin 53706, USA (Received 31 July 2010; accepted 4 October 2010; published online 7 December 2010) The rotating wall machine, a

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

  1. 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

  2. Fermilab | Science | Particle Physics | Key Discoveries

    Broader source: All U.S. Department of Energy (DOE) Office 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

  3. 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

  4. Scientific and Organizational Awards | NREL

    Broader source: All U.S. Department of Energy (DOE) Office 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

  5. 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.

  6. 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.

  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 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

  8. 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

  9. 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. ...

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

  11. Guide to Scientific Management | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office 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

  12. CNM Scientific Contact List | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CNM Scientific Contact List A list of scientific contacts for the Center for Nanoscale Materials PDF icon CNM Scientific Contact sheet 716

  13. 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

  14. Materials Discovery across Technological Readiness Levels | Materials

    Broader source: All U.S. Department of Energy (DOE) Office 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

  15. 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

  16. 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.

  17. 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.

  18. 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.

  19. 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.

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

    Office of Science (SC) Website

    Scientists Create World's Smallest Battery Energy Frontier Research Centers (EFRCs) EFRCs ... Stories of Discovery & Innovation: Scientists Create World's Smallest Battery Print Text ...

  1. Network Activity

    Broader source: All U.S. Department of Energy (DOE) Office 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. 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. ...

  3. Throwback Thursdays Celebrate Scientific Supercomputing

    Broader source: All U.S. Department of Energy (DOE) Office 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

  4. 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.

  5. 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.

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

    Broader source: All U.S. Department of Energy (DOE) Office 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....

  7. 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.

  8. Discoveries in Energy & Environment

    Broader source: All U.S. Department of Energy (DOE) Office 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

  9. Throwback Thursdays Celebrate Scientific Supercomputing

    Broader source: All U.S. Department of Energy (DOE) Office 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 ...

  10. Scientific and Technical Information Management

    Broader source: 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.

  11. ALS Scientific Advisory Committee Charter

    Broader source: All U.S. Department of Energy (DOE) Office 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...

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

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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

  13. 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.

  14. 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.

  15. 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

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  17. 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...

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

    Broader source: 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.

  19. 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.

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

    Office of Science (SC) Website

    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,...

  1. 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.

  2. 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.

  3. 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

  4. 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 Get scientific e-prints by Dennis Traylor on Fri, August 31, 2012 4267 EPN_slide2.jpg Get scientific e-prints Read more about 4267 The E-print Network provides a vast, integrated network of electronic scientific and technical information created by scientists and research engineers active in their respective fields, all full-text searchable. Documents such as these are the means by which today's scientists and researchers communicate

  5. Scientific Advisory Committee | Photosynthetic Antenna Research Center

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Scientific Advisory Committee Scientific Advisory Committee Gary Brudvig Scientific Advisory Committee Member Read more about Gary Brudvig J. Clark Lagarias Scientific Advisory Committee Member Read more about J. Clark Lagarias Jennifer Ogilvie Scientific Advisory Committee Member Read more about Jennifer Ogilvie Marion Thurnauer Marion Thurnauer Scientific Advisory Committee Member Read more about Marion Thurnauer Thomas Moore Thomas Moore Scientific Advisory Committee Chair Read more about

  6. Scientific Advisory Committee | Photosynthetic Antenna Research Center

    Broader source: All U.S. Department of Energy (DOE) Office 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:

  7. Scientific Visualization, Seeing the Unseeable

    ScienceCinema (OSTI)

    LBNL

    2009-09-01

    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.

  8. 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.

  9. 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

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

    Broader source: All U.S. Department of Energy (DOE) Office 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. Flow cytometry aids basic cell biology research and drug discovery

    Broader source: All U.S. Department of Energy (DOE) Office 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 ...

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

    Open Energy Info (EERE)

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

  13. The Top Quark, Its Discovery, and Subsequent Research

    Office of Scientific and Technical Information (OSTI)

    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 ...

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. 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 ...

  18. 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 ...

  19. Scientific and Technical Information Management

    Broader source: 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.

  20. DOE SCIENTIFIC AND TECHNICAL REPORTS

    Broader source: 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...

  1. ALS Scientific Advisory Committee Charter

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Scientific Advisory Committee Charter Print This document was revised and approved December 18, 2008. I. FUNCTION AND REPORTING The ALS Scientific Advisory Committee (SAC) is advisory to the Berkeley Lab Director through the ALS Director. The SAC serves two primary functions: It acts as a "board of directors" to advise the Laboratory on current and future ALS operations, allocation of facility resources, strategic planning, budget development, and other major issues; and It reviews

  2. ALS Scientific Advisory Committee Charter

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Scientific Advisory Committee Charter Print This document was revised and approved December 18, 2008. I. FUNCTION AND REPORTING The ALS Scientific Advisory Committee (SAC) is advisory to the Berkeley Lab Director through the ALS Director. The SAC serves two primary functions: It acts as a "board of directors" to advise the Laboratory on current and future ALS operations, allocation of facility resources, strategic planning, budget development, and other major issues; and It reviews

  3. 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.

  4. 2015 Discovery Science Call for Proposal

    Broader source: All U.S. Department of Energy (DOE) Office 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. 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 ...

  6. 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 ...

  7. 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.

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

    Office of Science (SC) Website

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

  9. Discovery of superconductivity in hard hexagonal ε-NbN

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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

  10. 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.

  11. Topco Scientific Company Ltd | Open Energy Information

    Open Energy Info (EERE)

    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...

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

  13. PROJECT PROFILE: Scientific Approach to Reducing Photovoltaic...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Scientific Approach to Reducing Photovoltaic Module Material Costs While Increasing Durability PROJECT PROFILE: Scientific Approach to Reducing Photovoltaic Module Material Costs ...

  14. Taiflex Scientific Co Ltd | Open Energy Information

    Open Energy Info (EERE)

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

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  16. 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 ...

  17. 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.

  18. Scientific and Technical Information Management

    Broader source: 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.

  19. Electrochemical Discovery Laboratory - Joint Center for Energy Storage

    Broader source: All U.S. Department of Energy (DOE) Office 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

  20. ESnet, NERSC Blaze 400G Production Network Path

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Office of Scientific and Technical Information (OSTI)

    Information Milestones Achievements Home Accelerating Access Charts Milestones Archive OSTI accelerates knowledge discovery, speeding the advancement of science. 2014 August 2014 - U.S. Department of Energy Increases Access to Results of DOE-funded Scientific Research January 2014 - DOE R&D Accomplishments Celebrates 15th Anniversary 2013 March 2013 - OSTI Using Semantic Search in New SciTech Connect Product February 2013 - Introducing the National Library of EnergyBeta 2012 December

  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 Connects with Higher Education Community by Karen Spence on Thu, September 16, 2010 When you think of the U.S. Department of Energy (DOE), what do you think of? The national laboratories? DOE's leadership role in reliable, clean and affordable energy? Scientific discovery and innovation? Nuclear security? DOE has a role in all of these things, and more. Now, do you think about DOE's connection with higher education? Probably not, but

  3. Scientific

    Broader source: All U.S. Department of Energy (DOE) Office 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...

  4. Scientific and Technical Information Management

    Broader source: 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.

  5. 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

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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

  11. 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

  12. 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

  13. 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.

  14. NREL'S Zunger Receives Scientific Award

    Broader source: All U.S. Department of Energy (DOE) Office 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

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Electrolyte for Rechargeable Magnesium Batteries - Joint Center for Energy Storage Research February 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

  16. Introduction to Scientific I/O

    Broader source: All U.S. Department of Energy (DOE) Office 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

  17. 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 ...

  18. 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...

  19. New Mexico Crude Oil + Lease Condensate Reserves New Field Discoveries...

    U.S. Energy Information Administration (EIA) Indexed Site

    New Field Discoveries (Million Barrels) New Mexico Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

  20. 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 ...

  1. 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 ...

  2. 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 ...

  3. 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 ...

  4. 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 ...

  5. 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 ...

  6. 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 ...

  7. 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 ...

  8. Florida 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) Decade Year-0 Year-1 Year-2 ... Dry Natural Gas New Reservoir Discoveries in Old Fields Florida Dry Natural Gas Proved ...

  9. 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 ...

  10. 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 ...

  11. 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 ...

  12. 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 ...

  13. 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 ...

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. 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 ...

  18. Lab Discovery: Water Leads to Chemical that "Gunks Up" Biofuels...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lab Discovery: Water Leads to Chemical that "Gunks Up" Biofuels Production November 20, 2014 - 12:16pm Addthis In this episode of 90 Seconds of Discovery, Catalysis Scientist ...

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

    Broader source: All U.S. Department of Energy (DOE) Office 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...

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

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    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 ...

  1. 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 ...

  2. NERSC National Energy Research Scientific Computing Center

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    National Energy Research Scientific Computing Center 2007 Annual Report National Energy Research Scientific Computing Center 2007 Annual Report Ernest Orlando Lawrence Berkeley National Laboratory 1 Cyclotron Road, Berkeley, CA 94720-8148 This work was supported by the Director, Office of Science, Office of Ad- vanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. LBNL-1143E, October 2008 iii National Energy Research Scientific Computing

  3. FWP Scientific Publications | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    FWP Scientific Publications FWP Scientific Publications 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. Stange B., McInerney J., Golden A., Benade W., Neill B., Mayer A., Witter R., Tenney L., Stinson K., Cragle D., Newman

  4. LCLS CDR Chapter 3 - Scientific Experiments

    Broader source: All U.S. Department of Energy (DOE) Office 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.

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

    Open Energy Info (EERE)

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

  6. Scientific Advisory Committee | Stanford Synchrotron Radiation Lightsource

    Broader source: All U.S. Department of Energy (DOE) Office 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. 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.

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

    Broader source: All U.S. Department of Energy (DOE) Office 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

  9. 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

  10. 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