National Library of Energy BETA

Sample records for knowledge discovery framework

  1. Bioenergy Knowledge Discovery Framework (KDF)

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

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

  2. Bioenergy Knowledge Discovery Framework (KDF) Fact Sheet

    SciTech Connect

    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.

  3. Bioenergy Knowledge Discovery Framework Recognized at National Conference |

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

    Department of Energy Bioenergy Knowledge Discovery Framework Recognized at National Conference Bioenergy Knowledge Discovery Framework Recognized at National Conference December 17, 2014 - 4:14pm Addthis The paper and poster presentation "Bioenergy KDF: Enabling Spatiotemporal Data Synthesis and Research Collaboration" was awarded second place for best paper at the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, held November 4-7 in Dallas,

  4. 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 ...

  5. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer

    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.

  6. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer

    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.

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

    DOE Data Explorer

    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.

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

    DOE Data Explorer

    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

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

    DOE Data Explorer

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

    DOE Data Explorer

    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.

  11. Agent-Based Knowledge Discovery for Modeling and Simulation

    SciTech Connect

    Haack, Jereme N.; Cowell, Andrew J.; Marshall, Eric J.; Fligg, Alan K.; Gregory, Michelle L.; McGrath, Liam R.

    2009-09-15

    This paper describes an approach to using agent technology to extend the automated discovery mechanism of the Knowledge Encapsulation Framework (KEF). KEF is a suite of tools to enable the linking of knowledge inputs (relevant, domain-specific evidence) to modeling and simulation projects, as well as other domains that require an effective collaborative workspace for knowledge-based tasks. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a semantic wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks. The novelty in this approach lies in the combination of automatically tagged and user-vetted resources, which increases user trust in the environment, leading to ease of adoption for the collaborative environment.

  12. The Bioenergy Knowledge Discovery Framework (KDF)

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

    Future for Bioenergy To meet the mandated national bioenergy goals, the United States' evolving bioenergy industry must be effcient, reliable, and sustainable. A key challenge to achieving these goals is synchronizing all of the steps in the biomass-to-biofuels supply chain-from biomass production and logistics to bioenergy production, distribution, delivery, and end use. Each current and proposed production system will be subject to economic, environmental, and infrastructure challenges unique

  13. Bioenergy Knowledge Discovery Framework Recognized at National...

    Energy Saver

    together the bioenergy community through Web-based tools, and was presented by Bioenergy ... stakeholders, but also for its technical capabilities as a Web-based architecture. ...

  14. Knowledge Framework Implementation with Multiple Architectures - 13090

    SciTech Connect

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P.; DeGregory, J.

    2013-07-01

    Multiple kinds of knowledge management systems are operational in public and private enterprises, large and small organizations with a variety of business models that make the design, implementation and operation of integrated knowledge systems very difficult. In recent days, there has been a sweeping advancement in the information technology area, leading to the development of sophisticated frameworks and architectures. These platforms need to be used for the development of integrated knowledge management systems which provides a common platform for sharing knowledge across the enterprise, thereby reducing the operational inefficiencies and delivering cost savings. This paper discusses the knowledge framework and architecture that can be used for the system development and its application to real life need of nuclear industry. A case study of deactivation and decommissioning (D and D) is discussed with the Knowledge Management Information Tool platform and framework. D and D work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with DOE sites, the Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. (authors)

  15. Knowledge Encapsulation Framework for Collaborative Social Modeling

    SciTech Connect

    Cowell, Andrew J.; Gregory, Michelle L.; Marshall, Eric J.; McGrath, Liam R.

    2009-03-24

    This paper describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable knowledge inputs (relevant, domain-specific facts) to modeling and simulation projects, as well as other domains that require effective collaborative workspaces for knowledge-based task. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks. The novelty in this approach lies in the combination of automatically tagged and user-vetted resources, which increases user trust in the environment, leading to ease of adoption for the collaborative environment.

  16. Search Method for Real-time Knowledge Discovery Modeled on the...

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

    Search Method for Real-time Knowledge Discovery Modeled on the Human Brain Oak Ridge ... information processing properties of the human brain to computational knowledge discovery. ...

  17. Collaborative Knowledge Discovery & Marshalling for Intelligence & Security Applications

    SciTech Connect

    Cowell, Andrew J.; Jensen, Russell S.; Gregory, Michelle L.; Ellis, Peter C.; Fligg, Alan K.; McGrath, Liam R.; O'Hara, Kelly A.; Bell, Eric B.

    2010-05-24

    This paper discusses the Knowledge Encapsulation Framework, a flexible, extensible evidence-marshalling environment built upon a natural language processing pipeline and exposed to users via an open-source semantic wiki. We focus our discussion on applications of the framework to intelligence and security applications, specifically, an instantiation of the KEF environment for researching illicit trafficking in nuclear materials.

  18. Knowledge Discovery, Knowledge Management and Enterprise-Wide Information Technology Tools Final Report

    SciTech Connect

    Patton, Robert M; Symons, Christopher T; Gorman, Bryan L; Treadwell, Jim N

    2012-04-01

    A final report on an ORNL task to establish a knowledge discovery and management tool to retrieve and recommend information from existing S&T documents for the Office of Naval Research Global.

  19. Raptor: An Enterprise Knowledge Discovery Engine - Energy Innovation Portal

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

    Energy Analysis Energy Analysis Early Stage R&D Early Stage R&D Find More Like This Return to Search Raptor: An Enterprise Knowledge Discovery Engine Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing Summary Enterprises generate large quantities of information contained in documents, presentations, spreadsheets, and databases. This information is stored across file shares, intranet portals, user desktops, and other business unit applications. Combined

  20. High-Throughput Methodology for Discovery of Metal-Organic Frameworks...

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

    Methodology for Discovery of Metal-Organic Frameworks with a High Hydrogen Binding Enthalpy Steven S. Kaye, Satoshi Horike, and Jeffrey R. Long Department of Chemistry, University ...

  1. Design Principles for Effective Knowledge Discovery from Big Data

    SciTech Connect

    Begoli, Edmon; Horey, James L

    2012-01-01

    Big data phenomenon refers to the practice of collection and processing of very large data sets and associated systems and algorithms used to analyze these massive datasets. Architectures for big data usually range across multiple machines and clusters, and they commonly consist of multiple special purpose sub-systems. Coupled with the knowledge discovery process, big data movement offers many unique opportunities for organizations to benefit (with respect to new insights, business optimizations, etc.). However, due to the difficulty of analyzing such large datasets, big data presents unique systems engineering and architectural challenges. In this paper, we present three sys- tem design principles that can inform organizations on effective analytic and data collection processes, system organization, and data dissemination practices. The principles presented derive from our own research and development experiences with big data problems from various federal agencies, and we illustrate each principle with our own experiences and recommendations.

  2. Knowledge Discovery and Data Mining (KDDM) survey report.

    SciTech Connect

    Phillips, Laurence R.; Jordan, Danyelle N.; Bauer, Travis L.; Elmore, Mark T.; Treadwell, Jim N.; Homan, Rossitza A.; Chapman, Leon Darrel; Spires, Shannon V.

    2005-02-01

    The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.

  3. Systems and methods for knowledge discovery in spatial data

    DOEpatents

    Obradovic, Zoran; Fiez, Timothy E.; Vucetic, Slobodan; Lazarevic, Aleksandar; Pokrajac, Dragoljub; Hoskinson, Reed L.

    2005-03-08

    Systems and methods are provided for knowledge discovery in spatial data as well as to systems and methods for optimizing recipes used in spatial environments such as may be found in precision agriculture. A spatial data analysis and modeling module is provided which allows users to interactively and flexibly analyze and mine spatial data. The spatial data analysis and modeling module applies spatial data mining algorithms through a number of steps. The data loading and generation module obtains or generates spatial data and allows for basic partitioning. The inspection module provides basic statistical analysis. The preprocessing module smoothes and cleans the data and allows for basic manipulation of the data. The partitioning module provides for more advanced data partitioning. The prediction module applies regression and classification algorithms on the spatial data. The integration module enhances prediction methods by combining and integrating models. The recommendation module provides the user with site-specific recommendations as to how to optimize a recipe for a spatial environment such as a fertilizer recipe for an agricultural field.

  4. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

    DOE PAGES [OSTI]

    Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Varnum, Susan M.; Brown, Joseph N.; Riensche, Roderick M.; Adkins, Joshua N.; Jacobs, Jon M.; Hoidal, John R.; Scholand, Mary Beth; et al

    2013-01-01

    Background . The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective . To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods . The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC).more » Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results . The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions . Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification.« less

  5. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

    SciTech Connect

    Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Varnum, Susan M.; Brown, Joseph N.; Riensche, Roderick M.; Adkins, Joshua N.; Jacobs, Jon M.; Hoidal, John R.; Scholand, Mary Beth; Pounds, Joel G.; Blackburn, Michael R.; Rodland, Karin D.; McDermott, Jason E.

    2013-10-01

    Background. The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective. To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods. The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC). Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results. The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions. Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification.

  6. High-Throughput Methodology for Discovery of Metal-Organic Frameworks with

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

    a High Binding Energy (New Joint UC-Berkeley/Symyx DoD/DLA Project) (presentation) | Department of Energy High-Throughput Methodology for Discovery of Metal-Organic Frameworks with a High Binding Energy (New Joint UC-Berkeley/Symyx DoD/DLA Project) (presentation) High-Throughput Methodology for Discovery of Metal-Organic Frameworks with a High Binding Energy (New Joint UC-Berkeley/Symyx DoD/DLA Project) (presentation) Presented at the U.S. Department of Energy's Hydrogen Storage Meeting held

  7. Creating a Discovery Platform for Confined-Space Chemistry and Materials: Metal-Organic Frameworks.

    SciTech Connect

    Allendorf, Mark D.; Greathouse, Jeffery A.; Simmons, Blake

    2008-09-01

    Metal organic frameworks (MOF) are a recently discovered class of nanoporous, defect-free crystalline materials that enable rational design and exploration of porous materials at the molecular level. MOFs have tunable monolithic pore sizes and cavity environments due to their crystalline nature, yielding properties exceeding those of most other porous materials. These include: the lowest known density (91% free space); highest surface area; tunable photoluminescence; selective molecular adsorption; and methane sorption rivaling gas cylinders. These properties are achieved by coupling inorganic metal complexes such as ZnO4 with tunable organic ligands that serve as struts, allowing facile manipulation of pore size and surface area through reactant selection. MOFs thus provide a discovery platform for generating both new understanding of chemistry in confined spaces and novel sensors and devices based on their unique properties. At the outset of this project in FY06, virtually nothing was known about how to couple MOFs to substrates and the science of MOF properties and how to tune them was in its infancy. An integrated approach was needed to establish the required knowledge base for nanoscale design and develop methodologies integrate MOFs with other materials. This report summarizes the key accomplishments of this project, which include creation of a new class of radiation detection materials based on MOFs, luminescent MOFs for chemical detection, use of MOFs as templates to create nanoparticles of hydrogen storage materials, MOF coatings for stress-based chemical detection using microcantilevers, and %22flexible%22 force fields that account for structural changes in MOFs that occur upon molecular adsorption/desorption. Eight journal articles, twenty presentations at scientific conferences, and two patent applications resulted from the work. The project created a basis for continuing development of MOFs for many Sandia applications and succeeded in securing %242

  8. Metal Organic Framework Research: High Throughput Discovery of Robust Metal Organic Framework for CO2 Capture

    SciTech Connect

    2010-08-01

    IMPACCT Project: LBNL is developing a method for identifying the best metal organic frameworks for use in capturing CO2 from the flue gas of coal-fired power plants. Metal organic frameworks are porous, crystalline compounds that, based on their chemical structure, vary considerably in terms of their capacity to grab hold of passing CO2 molecules and their ability to withstand the harsh conditions found in the gas exhaust of coal-fired power plants. Owing primarily to their high tunability, metal organic frameworks can have an incredibly wide range of different chemical and physical properties, so identifying the best to use for CO2 capture and storage can be a difficult task. LBNL uses high-throughput instrumentation to analyze nearly 100 materials at a time, screening them for the characteristics that optimize their ability to selectively adsorb CO2 from coal exhaust. Their work will identify the most promising frameworks and accelerate their large-scale commercial development to benefit further research into reducing the cost of CO2 capture and storage.

  9. Discoveries

    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

  10. Mixed constraint satisfaction: A framework for decision problems under incomplete knowledge

    SciTech Connect

    Fargier, H.; Lang, J.; Schiex, T.

    1996-12-31

    Constraint satisfaction is a powerful tool for representing and solving decision problems with complete knowledge about the world. We extend the CSP framework so as to represent decision problems under incomplete knowledge. The basis of the extension consists in a distinction between controllable and uncontrollable variables - hence the terminology {open_quotes}mixed CSP{close_quotes} - and a {open_quotes}solution{close_quotes} gives actually a conditional decision. We study the complexity of deciding the consistency of a mixed CSP. As the problem is generally intractable, we propose an algorithm for finding an approximate solution.

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

    DOE PAGES [OSTI]

    Yao, Shun; Yoo, Shinjae; Yu, Dantong

    2015-08-28

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

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

    SciTech Connect

    Yao, Shun; Yoo, Shinjae; Yu, Dantong

    2015-08-28

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

  13. IMG-ABC. A knowledge base to fuel discovery of biosynthetic gene clusters and novel secondary metabolites

    DOE PAGES [OSTI]

    Hadjithomas, Michalis; Chen, I-Min Amy; Chu, Ken; Ratner, Anna; Palaniappan, Krishna; Szeto, Ernest; Huang, Jinghua; Reddy, T. B. K.; Cimermančič, Peter; Fischbach, Michael A.; et al

    2015-07-14

    In the discovery of secondary metabolites, analysis of sequence data is a promising exploration path that remains largely underutilized due to the lack of computational platforms that enable such a systematic approach on a large scale. In this work, we present IMG-ABC (https://img.jgi.doe.gov/abc), an atlas of biosynthetic gene clusters within the Integrated Microbial Genomes (IMG) system, which is aimed at harnessing the power of “big” genomic data for discovering small molecules. IMG-ABC relies on IMG’s comprehensive integrated structural and functional genomic data for the analysis of biosynthetic gene clusters (BCs) and associated secondary metabolites (SMs). SMs and BCs serve asmore » the two main classes of objects in IMG-ABC, each with a rich collection of attributes. A unique feature of IMG-ABC is the incorporation of both experimentally validated and computationally predicted BCs in genomes as well as metagenomes, thus identifying BCs in uncultured populations and rare taxa. We demonstrate the strength of IMG-ABC’s focused integrated analysis tools in enabling the exploration of microbial secondary metabolism on a global scale, through the discovery of phenazine-producing clusters for the first time in lphaproteobacteria. IMG-ABC strives to fill the long-existent void of resources for computational exploration of the secondary metabolism universe; its underlying scalable framework enables traversal of uncovered phylogenetic and chemical structure space, serving as a doorway to a new era in the discovery of novel molecules. IMG-ABC is the largest publicly available database of predicted and experimental biosynthetic gene clusters and the secondary metabolites they produce. The system also includes powerful search and analysis tools that are integrated with IMG’s extensive genomic/metagenomic data and analysis tool kits. As new research on biosynthetic gene clusters and secondary metabolites is published and more genomes are sequenced, IMG

  14. IMG-ABC. A knowledge base to fuel discovery of biosynthetic gene clusters and novel secondary metabolites

    SciTech Connect

    Hadjithomas, Michalis; Chen, I-Min Amy; Chu, Ken; Ratner, Anna; Palaniappan, Krishna; Szeto, Ernest; Huang, Jinghua; Reddy, T. B. K.; Cimermančič, Peter; Fischbach, Michael A.; Ivanova, Natalia N.; Markowitz, Victor M.; Kyrpides, Nikos C.; Pati, Amrita

    2015-07-14

    In the discovery of secondary metabolites, analysis of sequence data is a promising exploration path that remains largely underutilized due to the lack of computational platforms that enable such a systematic approach on a large scale. In this work, we present IMG-ABC (https://img.jgi.doe.gov/abc), an atlas of biosynthetic gene clusters within the Integrated Microbial Genomes (IMG) system, which is aimed at harnessing the power of “big” genomic data for discovering small molecules. IMG-ABC relies on IMG’s comprehensive integrated structural and functional genomic data for the analysis of biosynthetic gene clusters (BCs) and associated secondary metabolites (SMs). SMs and BCs serve as the two main classes of objects in IMG-ABC, each with a rich collection of attributes. A unique feature of IMG-ABC is the incorporation of both experimentally validated and computationally predicted BCs in genomes as well as metagenomes, thus identifying BCs in uncultured populations and rare taxa. We demonstrate the strength of IMG-ABC’s focused integrated analysis tools in enabling the exploration of microbial secondary metabolism on a global scale, through the discovery of phenazine-producing clusters for the first time in lphaproteobacteria. IMG-ABC strives to fill the long-existent void of resources for computational exploration of the secondary metabolism universe; its underlying scalable framework enables traversal of uncovered phylogenetic and chemical structure space, serving as a doorway to a new era in the discovery of novel molecules. IMG-ABC is the largest publicly available database of predicted and experimental biosynthetic gene clusters and the secondary metabolites they produce. The system also includes powerful search and analysis tools that are integrated with IMG’s extensive genomic/metagenomic data and analysis tool kits. As new research on biosynthetic gene clusters and secondary metabolites is published and more genomes are sequenced, IMG

  15. A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation using First-Order Logic

    SciTech Connect

    Andrzejewski, D; Zhu, X; Craven, M; Recht, B

    2011-01-18

    Topic models have been used successfully for a variety of problems, often in the form of application-specific extensions of the basic Latent Dirichlet Allocation (LDA) model. Because deriving these new models in order to encode domain knowledge can be difficult and time-consuming, we propose the Fold-all model, which allows the user to specify general domain knowledge in First-Order Logic (FOL). However, combining topic modeling with FOL can result in inference problems beyond the capabilities of existing techniques. We have therefore developed a scalable inference technique using stochastic gradient descent which may also be useful to the Markov Logic Network (MLN) research community. Experiments demonstrate the expressive power of Fold-all, as well as the scalability of our proposed inference method.

  16. A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY GLOBAL WARMING SCENARIOS

    SciTech Connect

    Race, Caitlin; Steinbach, Michael; Ganguly, Auroop R; Semazzi, Fred; Kumar, Vipin

    2010-01-01

    The connections among greenhouse-gas emissions scenarios, global warming, and frequencies of hurricanes or tropical cyclones are among the least understood in climate science but among the most fiercely debated in the context of adaptation decisions or mitigation policies. Here we show that a knowledge discovery strategy, which leverages observations and climate model simulations, offers the promise of developing credible projections of tropical cyclones based on sea surface temperatures (SST) in a warming environment. While this study motivates the development of new methodologies in statistics and data mining, the ability to solve challenging climate science problems with innovative combinations of traditional and state-of-the-art methods is demonstrated. Here we develop new insights, albeit in a proof-of-concept sense, on the relationship between sea surface temperatures and hurricane frequencies, and generate the most likely projections with uncertainty bounds for storm counts in the 21st-century warming environment based in turn on the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios. Our preliminary insights point to the benefits that can be achieved for climate science and impacts analysis, as well as adaptation and mitigation policies, by a solution strategy that remains tailored to the climate domain and complements physics-based climate model simulations with a combination of existing and new computational and data science approaches.

  17. Research towards a systematic signature discovery process

    SciTech Connect

    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.

  18. Method and system for knowledge discovery using non-linear statistical analysis and a 1st and 2nd tier computer program

    DOEpatents

    Hively, Lee M.

    2011-07-12

    The invention relates to a method and apparatus for simultaneously processing different sources of test data into informational data and then processing different categories of informational data into knowledge-based data. The knowledge-based data can then be communicated between nodes in a system of multiple computers according to rules for a type of complex, hierarchical computer system modeled on a human brain.

  19. Discovery in Action - Pacific Northwest National Laboratory

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

    Discovery in Action Discovery in Action

  20. Discovery Science

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

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

  1. PIRANHA: A Knowledge Discovery Engine Software

    SciTech Connect

    2008-12-18

    Clustering textual information provides a number of useful capabilities for a PIRANHA user. Finding Similar Documents : A user can select a document of interest, and then quickly find other documents that are a close match. For example, a user may have an e-mail of interest found on a captured computer. Clustering allows for similar e-mail on other computers to be quickly found, thus potentially establishing a link. Document Sampling: A set of documents will usually contain common themes or topic. Representative documents from these themes can be quickly found, and presented to a user. For example, a captured hard drive may have thousands of documents representing many different topics, i.e., form finances to methods to favorite restaurants. Ten or twenty representative documents from these themes can be found, and used by a user to quickly determine what areas need further attention. Classifying Documents: A set of representative documents can be used by a user to define a topic of interest, and then related documents can be added to that set. This allows a user to pick specific documents that are of interest, perhaps nuclear materials, then allows the software agents to automatically put related document into the same nuclear materials folder.

  2. PIRANHA: A Knowledge Discovery Engine Software

    Energy Science and Technology Software Center

    2008-12-18

    Clustering textual information provides a number of useful capabilities for a PIRANHA user. Finding Similar Documents : A user can select a document of interest, and then quickly find other documents that are a close match. For example, a user may have an e-mail of interest found on a captured computer. Clustering allows for similar e-mail on other computers to be quickly found, thus potentially establishing a link. Document Sampling: A set of documents willmore » usually contain common themes or topic. Representative documents from these themes can be quickly found, and presented to a user. For example, a captured hard drive may have thousands of documents representing many different topics, i.e., form finances to methods to favorite restaurants. Ten or twenty representative documents from these themes can be found, and used by a user to quickly determine what areas need further attention. Classifying Documents: A set of representative documents can be used by a user to define a topic of interest, and then related documents can be added to that set. This allows a user to pick specific documents that are of interest, perhaps nuclear materials, then allows the software agents to automatically put related document into the same nuclear materials folder.« less

  3. Knowledge Discovery from Massive Healthcare Claims Data

    SciTech Connect

    Chandola, Varun; Sukumar, Sreenivas R; Schryver, Jack C

    2013-01-01

    The role of big data in addressing the needs of the present healthcare system in US and rest of the world has been echoed by government, private, and academic sectors. There has been a growing emphasis to explore the promise of big data analytics in tapping the potential of the massive healthcare data emanating from private and government health insurance providers. While the domain implications of such collaboration are well known, this type of data has been explored to a limited extent in the data mining community. The objective of this paper is two fold: first, we introduce the emerging domain of big"healthcare claims data to the KDD community, and second, we describe the success and challenges that we encountered in analyzing this data using state of art analytics for massive data. Specically, we translate the problem of analyzing healthcare data into some of the most well-known analysis problems in the data mining community, social network analysis, text mining, and temporal analysis and higher order feature construction, and describe how advances within each of these areas can be leveraged to understand the domain of healthcare. Each case study illustrates a unique intersection of data mining and healthcare with a common objective of improving the cost-care ratio by mining for opportunities to improve healthcare operations and reducing hat seems to fall under fraud, waste,and abuse.

  4. RAPTOR: An Enterprise Knowledge Discovery Engine

    Energy Science and Technology Software Center

    2010-11-11

    SharePoint search capability is commonly criticized by users due to the limited functionality provided. This software takes a world class search capability (Piranha) and integrates it with an Enterprise Level Collaboration Application installed on most major government and commercial sites.

  5. Machine learning accelerates the discovery of new materials

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

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

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

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

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

  7. SEME FRAMEWORK

    Energy Science and Technology Software Center

    003284MLTPL00 Sequentially Executed Model Evaluation Framework https://software.sandia.gov/svn/teva/canary

  8. GTT Framework

    Energy.gov [DOE]

    The GTT proposes a strategic framework that organizes these activities into three interrelated dimensions (informational, analytical, and physical), representative of the systems nature of the grid.

  9. The Greatest Mathematical Discovery?

    SciTech Connect

    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.

  10. Materials Discovery | Photovoltaic Research | NREL

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

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

  11. Representing Instructional Material for Scenario-Based Guided-Discovery Courseware

    SciTech Connect

    Greitzer, Frank L.; Merrill, M. DAVID.; Rice, Douglas M.; Curtis, Darren S.

    2004-12-06

    The focus of this paper is to discuss paradigms for learning that are based on sound principles of human learning and cognition, and to discuss technical challenges that must be overcome in achieving this research goal through instructional system design (ISD) approaches that are cost-effective as well as conformant with today's interactive multimedia instruction standards. Fundamental concepts are to: engage learners to solve real-world problems (progress from simple to complex); relate material to previous experience; demonstrate what is to be learned using interactive, problem-centered activities rather than passive exposure to material; require learners to use their new knowledge to solve problems that demonstrate their knowledge in a relevant applied setting; and guide the learner with feedback and coaching early, then gradually withdraw this support as learning progresses. Many of these principles have been put into practice by employing interactive learning objects as re-usable components of larger, more integrated exercises. A challenge is to make even more extensive use of interactive, scenario-based activities within a guided-discovery framework. Because the design and construction of interactive, scenario-based learning objects and more complex integrated exercises is labor-intensive, this paper explores the use of interactive learning objects and associated representation schema for instructional content to facilitate development of tools for creating scenario-based, guided-discovery courseware.

  12. Discovery of Charm

    DOE R&D Accomplishments

    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.

  13. MVC Framework

    Energy Science and Technology Software Center

    2008-06-03

    Provides a reusable model-view-controller application programming interface (API) for use in the rapid development of graphical user interface applications in the .NET 2.0 framework. This includes a mechanism for adding new data stores, data sources, data analyses, and visualizations in the form of plugins.] The MVC Framework is implemented in C# as a .NET 2.0 framework that can then be built against when developing applications. The infrasturcture allows for presenting application specific views (visualizations) tomore » the user to interact with. Based on the interactions the suer makes with a view, requests are generated which in turn are handled by the central controller facility. The controller handles the request in an application specific manner by routing the request to appropriate data stores, data accessors or data analyzers. Retrieved or processed data is published to subscribed components for further processing or for presentation to the user.« less

  14. Decades of Discovery

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

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

  15. Choosing experiments to accelerate collective discovery

    DOE PAGES [OSTI]

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

    2015-11-24

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

  16. Choosing experiments to accelerate collective discovery

    SciTech Connect

    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.

  17. Raptor: An Enterprise Knowledge Discovery Engine Version 2.0

    SciTech Connect

    2011-08-31

    The Raptor Version 2.0 computer code uses a set of documents as seed documents to recommend documents of interest from a large, target set of documents. The computer code provides results that show the recommended documents with the highest similarity to the seed documents. Version 2.0 was specifically developed to work with SharePoint 2007 and MS SQL server.

  18. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery...

    Office of Scientific and Technical Information (OSTI)

    access to research data and literature, GIS mapping tools, and collaborative networks. ... (EERE) Country of Publication: United States Language: English Subject: 9 - BIOMASS FUELS

  19. Decades of Discovery

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

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

  20. LBNL-41172 Discovery

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

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

  1. Ghana-Support for Future National Climate Change Policy Framework...

    OpenEI (Open Energy Information) [EERE & EIA]

    Jump to: navigation, search Name CDKN-Ghana-Support for Future National Climate Change Policy Framework AgencyCompany Organization Climate and Development Knowledge Network...

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

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

    Production | Department of Energy Lab Discovery: Water Leads to Chemical that "Gunks Up" Biofuels Production 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 Robert Weber explains why bio-oil often gunks up during refining. Knowledge gained from this research could improve methods for refining biofuel. Researchers at Pacific Northwest National

  3. Discoveries | Argonne National Laboratory

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

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

  4. System for Information Discovery

    Energy Science and Technology Software Center

    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

  5. Electronic Structure Based Discovery of Hybrid Photovoltaic Materials on

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

    Next-Generation HPC Platforms | Argonne Leadership Computing Facility Electronic Structure Based Discovery of Hybrid Photovoltaic Materials on Next-Generation HPC Platforms PI Name: Volker Blum PI Email: volker.blum@duke.edu Institution: Duke University Allocation Program: ESP Year: 2015 Research Domain: Materials Science Tier 2 Code Development Project Numerical Methods/Algorithms The FHI-aims all-electron electronic structure code is a well-established, accurate framework for large-scale

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

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

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

  7. Automated Knowledge Annotation for Dynamic Collaborative Environments

    SciTech Connect

    Cowell, Andrew J.; Gregory, Michelle L.; Marshall, Eric J.; McGrath, Liam R.

    2009-05-19

    This paper describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable automated knowledge annotation for modeling and simulation projects. This framework can be used to capture evidence (e.g., facts extracted from journal articles and government reports), discover new evidence (from similar peer-reviewed material as well as social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks.

  8. Materials Discovery | Materials Science | NREL

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

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

  9. Translating Discoveries to Market Deployment

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

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

  10. Discovery Acceleration | Argonne National Laboratory

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

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

  11. Enterprise Risk Management Framework

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

    Framework The Enterprise Risk Management (ERM) framework includes four steps: identify the risks, determine the probability and impact of each one, identify controls that are...

  12. TOKIO: Total Knowledge of I/O

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

    TOKIO: Total Knowledge of I/O TOKIO: Total Knowledge of I/O The Total Knowledge of I/O (TOKIO) project is developing algorithms and a software framework that collects and correlates I/O workload data from production HPC resources at multiple system levels to provide a dramatically clearer view of system behavior, and the causes of behavior, to application scientists, facility operators and computer science researchers in the field. TOKIO is a collaboration between the Lawrence Berkeley and

  13. The top quark (20 years after the discovery)

    SciTech Connect

    Boos, Eduard; Brandt, Oleg; Denisov, Dmitri; Denisov, Sergey; Grannis, Paul

    2015-09-10

    On the twentieth anniversary of the observation of the top quark, we trace our understanding of this heaviest of all known particles from the prediction of its existence, through the searches and discovery, to the current knowledge of its production mechanisms and properties. We also discuss the central role of the top quark in the Standard Model and the windows that it opens for seeking new physics beyond the Standard Model.

  14. Nuclear Safety Regulatory Framework

    Energy.gov [DOE]

    Presentation that outlines the rules, policies and orders that comprise the Department of Energy Nuclear Safety Regulatory Framework

  15. Fermilab | Science | Particle Physics | Key Discoveries

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

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

  16. Enterprise Risk Management Framework

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

    Framework The Enterprise Risk Management (ERM) framework includes four steps: identify the risks, determine the probability and impact of each one, identify controls that are already in place that mitigate that risk, and propose additional controls if needed. Step 1: Identify Risks - What can go wrong? This step should identify the negative outcomes that could result from an action or decision . It is important to consider a wide range of risks, and so the Department's ERM framework includes

  17. CBI Technology Impact Framework

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

    CBI Technology Impact Framework 2014 Building Technologies Office Peer Review Images courtesy CREE, True Manufacturing, A.O. Smith, Bernstein Associates, Cambridge Engineering, ...

  18. Nuclear Safety Regulatory Framework

    Energy.gov [DOE] (indexed site)

    Department of Energy Nuclear Safety Regulatory Framework DOE's Nuclear Safety Enabling Legislation Regulatory Enforcement & Oversight Regulatory Governance Atomic Energy Act 1946 ...

  19. Standard Agent Framework 1

    Energy Science and Technology Software Center

    1999-04-06

    The Standard Agent framework provides an extensible object-oriented development environment suitable for use in both research and applications projects. The SAF provides a means for constructing and customizing multi-agent systems through specialization of standard base classes (architecture-driven framework) and by composition of component classes (data driven framework). The standard agent system is implemented as an extensible object-centerd framework. Four concrete base classes are developed: (1) Standard Agency; (2) Standard Agent; (3) Human Factor, and (4)more » Resources. The object-centered framework developed and utilized provides the best comprimise between generality and flexibility available in agent development systems today.« less

  20. Materials Discovery across Technological Readiness Levels | Materials

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

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

  1. 'Big Data' Collaboration: Exploring, Recording and Sharing Enterprise Knowledge

    SciTech Connect

    Sukumar, Sreenivas R; Ferrell, Regina Kay

    2013-01-01

    As data sources and data size proliferate, knowledge discovery from "Big Data" is starting to pose several challenges. In this paper, we address a specific challenge in the practice of enterprise knowledge management while extracting actionable nuggets from diverse data sources of seemingly-related information. In particular, we address the challenge of archiving knowledge gained through collaboration, dissemination and visualization as part of the data analysis, inference and decision-making lifecycle. We motivate the implementation of an enterprise data-discovery and knowledge recorder tool, called SEEKER based on real world case-study. We demonstrate SEEKER capturing schema and data-element relationships, tracking the data elements of value based on the queries and the analytical artifacts that are being created by analysts as they use the data. We show how the tool serves as digital record of institutional domain knowledge and a documentation for the evolution of data elements, queries and schemas over time. As a knowledge management service, a tool like SEEKER saves enterprise resources and time by avoiding analytic silos, expediting the process of multi-source data integration and intelligently documenting discoveries from fellow analysts.

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

    Office of Science (SC)

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

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

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

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

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

    Office of Science (SC)

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

  5. View discovery in OLAP databases through statistical combinatorial optimization

    SciTech Connect

    Hengartner, Nick W; Burke, John; Critchlow, Terence; Joslyn, Cliff; Hogan, Emilie

    2009-01-01

    OnLine Analytical Processing (OLAP) is a relational database technology providing users with rapid access to summary, aggregated views of a single large database, and is widely recognized for knowledge representation and discovery in high-dimensional relational databases. OLAP technologies provide intuitive and graphical access to the massively complex set of possible summary views available in large relational (SQL) structured data repositories. The capability of OLAP database software systems to handle data complexity comes at a high price for analysts, presenting them a combinatorially vast space of views of a relational database. We respond to the need to deploy technologies sufficient to allow users to guide themselves to areas of local structure by casting the space of 'views' of an OLAP database as a combinatorial object of all projections and subsets, and 'view discovery' as an search process over that lattice. We equip the view lattice with statistical information theoretical measures sufficient to support a combinatorial optimization process. We outline 'hop-chaining' as a particular view discovery algorithm over this object, wherein users are guided across a permutation of the dimensions by searching for successive two-dimensional views, pushing seen dimensions into an increasingly large background filter in a 'spiraling' search process. We illustrate this work in the context of data cubes recording summary statistics for radiation portal monitors at US ports.

  6. ARM - Traditional Knowledge

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

    HomeroomTraditional Knowledge Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Traditional Knowledge An elder from Nauru is interviewed for the TWP kiosks. An elder from Nauru is interviewed for the TWP kiosks. Traditional knowledge can be defined as a cumulative body of knowledge and

  7. The Partnership Evaluation Framework

    Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: The Partnership Evaluation Framework: How to evaluate a potential partner’s business model and identify areas for collaboration.

  8. Generic Overlay Framework

    Energy Science and Technology Software Center

    2005-09-01

    This software provides a framework for building application layter overlay networks. It includes example overlays that can be used without modification. Also provided are example multicast and routing protocols that can be used with the overlays.

  9. Conductive open frameworks

    DOEpatents

    Yaghi, Omar M.; Wan, Shun; Doonan, Christian J.; Wang, Bo; Deng, Hexiang

    2016-02-23

    The disclosure relates generally to materials that comprise conductive covalent organic frameworks. The disclosure also relates to materials that are useful to store and separate gas molecules and sensors.

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

    SciTech Connect

    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. 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 ...

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

    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 ...

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

    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 ...

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

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

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

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

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

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

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

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

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

  17. 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 ...

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

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

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

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

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

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

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

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

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

    Office of Science (SC)

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

  4. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update

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

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

    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 ...

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

    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 ...

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

  8. Climate Resilience Planning Framework

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

    Climate Resilience Planning Framework Impacts Vulnerability of Systems & Infrastructure * Sensitivity * Adaptive capacity Climate Exposures * Past / Current * Future Adaptation Plans * Reinforce existing measures * Identify new measures * Integrate into operations * Monitor change Significance for Mission & Operations * Mission attainment * Operating/maintenance costs * System reliability * Safety Adapted from Moss et al, 2016. http://www.osti.gov/scitech/biblio/1240754 Climate

  9. Sci-Vis Framework

    Energy Science and Technology Software Center

    2015-03-11

    SVF is a full featured OpenGL 3d framework that allows for rapid creation of complex visualizations. The SVF framework handles much of the lifecycle and complex tasks required for a 3d visualization. Unlike a game framework SVF was designed to use fewer resources, work well in a windowed environment, and only render when necessary. The scene also takes advantage of multiple threads to free up the UI thread as much as possible. Shapes (actors) inmore » the scene are created by adding or removing functionality (through support objects) during runtime. This allows a highly flexible and dynamic means of creating highly complex actors without the code complexity (it also helps overcome the lack of multiple inheritance in Java.) All classes are highly customizable and there are abstract classes which are intended to be subclassed to allow a developer to create more complex and highly performant actors. There are multiple demos included in the framework to help the developer get started and shows off nearly all of the functionality. Some simple shapes (actors) are already created for you such as text, bordered text, radial text, text area, complex paths, NURBS paths, cube, disk, grid, plane, geometric shapes, and volumetric area. It also comes with various camera types for viewing that can be dragged, zoomed, and rotated. Picking or selecting items in the scene can be accomplished in various ways depending on your needs (raycasting or color picking.) The framework currently has functionality for tooltips, animation, actor pools, color gradients, 2d physics, text, 1d/2d/3d textures, children, blending, clipping planes, view frustum culling, custom shaders, and custom actor states« less

  10. 2015 Discovery Science Call for Proposal

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

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

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

    Energy Saver

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

  12. On the belated discovery of fission

    SciTech Connect

    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.

  13. Visualizing the Future of Scientific Discovery

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

  15. Concept of Operations for Collaboration and Discovery from Big Data Across Enterprise Data Warehouses

    SciTech Connect

    Olama, Mohammed M; Nutaro, James J; Sukumar, Sreenivas R; McNair, Wade

    2013-01-01

    The success of data-driven business in government, science, and private industry is driving the need for seamless integration of intra and inter-enterprise data sources to extract knowledge nuggets in the form of correlations, trends, patterns and behaviors previously not discovered due to physical and logical separation of datasets. Today, as volume, velocity, variety and complexity of enterprise data keeps increasing, the next generation analysts are facing several challenges in the knowledge extraction process. Towards addressing these challenges, data-driven organizations that rely on the success of their analysts have to make investment decisions for sustainable data/information systems and knowledge discovery. Options that organizations are considering are newer storage/analysis architectures, better analysis machines, redesigned analysis algorithms, collaborative knowledge management tools, and query builders amongst many others. In this paper, we present a concept of operations for enabling knowledge discovery that data-driven organizations can leverage towards making their investment decisions. We base our recommendations on the experience gained from integrating multi-agency enterprise data warehouses at the Oak Ridge National Laboratory to design the foundation of future knowledge nurturing data-system architectures.

  16. Accelerating scientific discovery : 2007 annual report.

    SciTech Connect

    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

  17. V&V framework

    SciTech Connect

    Hills, Richard G.; Maniaci, David Charles; Naughton, Jonathan W.

    2015-09-01

    A Verification and Validation (V&V) framework is presented for the development and execution of coordinated modeling and experimental program s to assess the predictive capability of computational models of complex systems through focused, well structured, and formal processes.The elements of the framework are based on established V&V methodology developed by various organizations including the Department of Energy, National Aeronautics and Space Administration, the American Institute of Aeronautics and Astronautics, and the American Society of Mechanical Engineers. Four main topics are addressed: 1) Program planning based on expert elicitation of the modeling physics requirements, 2) experimental design for model assessment, 3) uncertainty quantification for experimental observations and computational model simulations, and 4) assessment of the model predictive capability. The audience for this document includes program planners, modelers, experimentalist, V &V specialist, and customers of the modeling results.

  18. International Experiences and Frameworks to Support Country-Driven Low-Emissions Development

    SciTech Connect

    Benioff, R.; Cochran, J.; Cox, S.

    2012-08-01

    Countries can use low-emission development strategies (LEDS) to advance sustainable development, promote private-sector growth, and reduce greenhouse gas emissions. This paper proposes a framework -- or support infrastructure -- to enable the efficient exchange of LEDS-related knowledge and technical assistance. Under the proposed framework, countries share LEDS-related resources via coordinating forums, 'knowledge platforms,' and networks of experts and investors. The virtual 'knowledge platforms' foster learning by allowing countries to communicate with each other and share technical reports, data, and analysis tools in support of LEDS development. Investing in all elements of the framework in an integrated fashion increases the efficacy of support for country-driven LEDS.

  19. EMN Framework Examples

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

    EMN Framework Examples Palo Alto, CA April 15, 2016 Neha Rustagi Technology Manager Fuel Cell Technologies Office | 2 New Material Innovations for Clean Energy 2X Faster and 2X Cheaper Predictive Simulation Across Scales Synthesis & Characterization Rapid Screening End Use Performance Process Scalability Process Control Real-time Characterization Reliability Validation Data Management & Informatics Coordinated resource network with a suite of capabilities for advanced materials R&D

  20. Nuclear Safety Regulatory Framework

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

    Department of Energy Nuclear Safety Regulatory Framework DOE's Nuclear Safety Enabling Legislation Regulatory Enforcement & Oversight Regulatory Governance Atomic Energy Act 1946 Atomic Energy Act 1954 Energy Reorganization Act 1974 DOE Act 1977 Authority and responsibility to regulate nuclear safety at DOE facilities 10 CFR 830 10 CFR 835 10 CFR 820 Regulatory Implementation Nuclear Safety Radiological Safety Procedural Rules ISMS-QA; Operating Experience; Metrics and Analysis Cross Cutting

  1. Isomerism in Metal-Organic Frameworks: "Framework Isomers" |...

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

    Isomerism in Metal-Organic Frameworks: "Framework Isomers" Previous Next List Trevor A. Makal, Andrey A. Yakovenko, and Hong-Cai Zhou, J. Phys. Chem. Lett., 2011, 2 (14), pp ...

  2. A Route to Metal-Organic Frameworks through Framework Templating...

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

    A Route to Metal-Organic Frameworks through Framework Templating Previous Next List Zhangwen Wei, Weigang Lu, Hai-Long Jiang, and Hong-Cai Zhou, Inorg. Chem., 2013, 52 (3), pp ...

  3. Cost-Benefit Analysis of Confidentiality Policies for Advanced Knowledge Management Systems

    SciTech Connect

    May, D

    2003-03-01

    Knowledge Discovery (KD) processes can create new information within a Knowledge Management (KM) system. In many domains, including government, this new information must be secured against unauthorized disclosure. Applying an appropriate confidentiality policy achieves this. However, it is not evident which confidentiality policy to apply, especially when the goals of sharing and disseminating knowledge have to be balanced with the requirements to secure knowledge. This work proposes to solve this problem by developing a cost-benefit analysis technique for examining the tradeoffs between securing and sharing discovered knowledge.

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

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

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

  5. Preparation of functionalized zeolitic frameworks

    DOEpatents

    Yaghi, Omar M.; Hayashi, Hideki; Banerjee, Rahul; Park, Kyo Sung; Wang, Bo; Cote, Adrien P.

    2014-08-19

    The disclosure provides zeolitic frameworks for gas separation, gas storage, catalysis and sensors. More particularly the disclosure provides zeolitic frameworks (ZIFs). The ZIF of the disclosure comprises any number of transition metals or a homogenous transition metal composition.

  6. Preparation of functionalized zeolitic frameworks

    DOEpatents

    Yaghi, Omar M; Hayashi, Hideki; Banerjee, Rahul; Park, Kyo Sung; Wang, Bo; Cote, Adrien P

    2012-11-20

    The disclosure provides zeolitic frameworks for gas separation, gas storage, catalysis and sensors. More particularly the disclosure provides zeolitic frameworks (ZIFs). The ZIF of the disclosure comprises any number of transition metals or a homogenous transition metal composition.

  7. Preparation of functionalized zeolitic frameworks

    DOEpatents

    Yaghi, Omar M; Furukawa, Hiroyasu; Wang, Bo

    2013-07-09

    The disclosure provides zeolitic frameworks for gas separation, gas storage, catalysis and sensors. More particularly the disclosure provides zeolitic frameworks (ZIFs). The ZIF of the disclosure comprises any number of transition metals or a homogenous transition metal composition.

  8. An Information-Theoretic Framework for Enabling Extreme-scale Science Discovery

    SciTech Connect

    Shen, Han-Wei

    2014-11-26

    In this final technical report, we describe the major research goals, activities, and findings under this grant. We also report a list of publications resulted from this project.

  9. High-Throughput Methodology for Discovery of Metal-Organic Frameworks...

    Energy.gov [DOE] (indexed site)

    High Throughput Combinatorial Screening of Biometic Metal-Organic Materials for Military Hydrogen-Storage Materials (New Joint Miami UNREL DoDDLA Project) (presentation) High ...

  10. Electrochemical Discovery Laboratory - Joint Center for Energy Storage

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

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

  11. Robust Systems Test Framework

    Energy Science and Technology Software Center

    2003-01-01

    The Robust Systems Test Framework (RSTF) provides a means of specifying and running test programs on various computation platforms. RSTF provides a level of specification above standard scripting languages. During a set of runs, standard timing information is collected. The RSTF specification can also gather job-specific information, and can include ways to classify test outcomes. All results and scripts can be stored into and retrieved from an SQL database for later data analysis. RSTF alsomore » provides operations for managing the script and result files, and for compiling applications and gathering compilation information such as optimization flags.« less

  12. Robust Systems Test Framework

    SciTech Connect

    Ballance, Robert A.

    2003-01-01

    The Robust Systems Test Framework (RSTF) provides a means of specifying and running test programs on various computation platforms. RSTF provides a level of specification above standard scripting languages. During a set of runs, standard timing information is collected. The RSTF specification can also gather job-specific information, and can include ways to classify test outcomes. All results and scripts can be stored into and retrieved from an SQL database for later data analysis. RSTF also provides operations for managing the script and result files, and for compiling applications and gathering compilation information such as optimization flags.

  13. Spark Distributed Analytic Framework

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

    Apache Spark Spark Distributed Analytic Framework Description and Overview Apache Spark(tm) is a fast and general engine for large-scale data processing. How to Use Spark Because of its high memory and I/O bandwidth requirements, we recommend you run your spark jobs on Cori. Follow the steps below to use spark, note that the order of the commands matters. DO NOT load the spark module until you are inside a batch job. Interactive mode Submit an interactive batch job with at least 2 nodes: salloc

  14. Shell appraising deepwater discovery off Philippines

    SciTech Connect

    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.

  15. Unraveling the Higgs Boson Discovery - Rik Yoshida

    SciTech Connect

    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

  16. Unraveling the Higgs Boson Discovery - Rik Yoshida

    ScienceCinema

    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

  17. Trends, Discovery, & Innovation at NUG User

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

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

  18. Efficient Data Management for Knowledge Discovery in Large-Scale Geospatial Imagery Collections

    SciTech Connect

    Baldwin, C; Abdulla, G

    2006-01-24

    We describe the results of our investigation on supporting ad-hoc and continuous queries over data streams. The major problem we address here is how to identify and utilize metadata for smart caching and to support queries over streaming and archived or historical data.

  19. Hybrid Multidimensional Relational and Link Analytical Knowledge Discovery for Law Enforcement

    SciTech Connect

    Joslyn, Cliff A.; Gillen, David S.; Burke, John S.; Critchlow, Terence J.; Damante, Matt; Fernandes, Robert

    2008-08-01

    The challenges facing the Department of Homeland Security (DHS) require not only multi-dimensional, but also multi-scale data analysis. In particular, the ability to seamlessly move from summary information, such as trends, into detailed analysis of individual entities, while critical for law enforcement, typically requires manually transferring information among multiple tools. Such time-consuming and error prone processes significantly hamper the analysts' ability to quickly explore data and identify threats. As part of a DHS Science and Technology effort, we have been developing and deploying for Immigration and Customs Enforcement the CubeLink system integrating information between relational data cubes and link analytical semantic graphs. In this paper we describe CubeLink in terms of the underlying components, their integration, and the formal mapping from multidimensional data analysis into link analysis. In so doing, we provide a formal basis for one particular form of automatic schema-ontology mapping from OLAP data cubes to semantic graphs databases, and point the way towards future ``intelligent'' OLAP data cubes equipped with meta-data about their dimensional typing.

  20. Special Report: Computational Science — Behind Innovation and Discovery. Knowledge centers: sweet suites of informational tools

    SciTech Connect

    Teske, Lisa J.; Thomas, Jim

    2005-10-25

    Article will be sent to you under separate cover in an e-mail message. The article was too long to paste in this field.

  1. Knowledge-based design of complex mechanical systems

    SciTech Connect

    Ishii, K.

    1988-01-01

    The recent development of Artificial Intelligence (AI) techniques allows incorporation of qualitative aspects of design into the computer aids. This thesis presents a framework for applying AI techniques to the design of complex mechanical systems. A complex, yet well-understood design example as a vehicle for the effort is used. The author first reviews how experienced designers use knowledge at various stages of system design. He then proposes a knowledge-based model of the design process and develop frameworks for applying knowledge engineering in order to construct a consultation system for the designers. He proposes four such frameworks for use at different stages of design: (1) Design Compatibility Analysis (DCA) analyzes the compatibility of the designer's design alternatives with the design specification, (2) Initial Design Suggestion (IDS) provides the designer with reasonable initial estimates of the design variables, (3) Rule-based Sensitivity Analysis (RSA) guides the user through redesign, and (4) Active Constraint Deduction (ACD) identifies the bottlenecks of design by heuristic knowledge. These frameworks eliminate unnecessary iterations and allows the user to obtain a satisfactory solution rapidly.

  2. Energy Sector Cybersecurity Framework Implementation Guidance

    Energy.gov [DOE] (indexed site)

    FOR PUBLIC COMMENT SEPTEMBER, 2014 ENERGY SECTOR CYBERSECURITY FRAMEWORK IMPLEMENTATION GUIDANCE Energy Sector Cybersecurity Framework Implementation Guidance Table of Contents...

  3. Preparation of metal-triazolate frameworks

    DOEpatents

    Yaghi, Omar M; Uribe-Romo, Fernando J; Gandara-Barragan, Felipe; Britt, David K

    2014-10-07

    The disclosure provides for novel metal-triazolate frameworks, methods of use thereof, and devices comprising the frameworks thereof.

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

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

  2. 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...

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

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

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

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

    Annual Energy Outlook

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

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

    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 ...

  6. The Discovery of the Top Quark

    DOE R&D Accomplishments

    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.

  7. Possibility of early Higgs boson discovery in nonminimal Higgs sectors

    SciTech Connect

    Chang, Spencer; Evans, Jared A.; Luty, Markus A.

    2011-11-01

    Particle physics models with more than one Higgs boson occur in many frameworks for physics beyond the standard model, including supersymmetry, technicolor, composite Higgs, and ''little Higgs'' models. If the Higgs sector contains couplings stronger than electroweak gauge couplings, there will be heavy Higgs particles that decay to lighter Higgs particles plus heavy particles such as W, Z, and t. This motivates searches for final states involving multiple W, Z, t, and bb pairs. A two Higgs doublet model with custodial symmetry is a useful simplified model to describe many of these signals. The model can be parameterized by the physical Higgs masses and the mixing angles {alpha} and {beta}, so discovery or exclusion in this parameter space has a straightforward physical interpretation. We illustrate this with a detailed analysis of the process gg{yields}A followed by A{yields}hZ and h{yields}WW. For m{sub A}{approx_equal}330 GeV, m{sub h}{approx_equal}200 GeV we can get a 4.5{sigma} signal with 1 fb{sup -1} of integrated luminosity at the Large Hadron Collider.

  8. Spatial Knowledge Capture Library

    Energy Science and Technology Software Center

    2005-05-16

    The Spatial Knowledge Capture Library is a set of algorithms to capture regularities in shapes and trajectories through space and time. We have applied Spatial Knowledge Capture to model the actions of human experts in spatial domains, such as an AWACS Weapons Director task simulation. The library constructs a model to predict the expert’s response to sets of changing cues, such as the movements and actions of adversaries on a battlefield, The library includes amore » highly configurable feature extraction functionality, which supports rapid experimentation to discover causative factors. We use k-medoid clustering to group similar episodes of behavior, and construct a Markov model of system state transitions induced by agents’ actions.« less

  9. Sample Business Plan Framework 1

    Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  10. Sequentially Executed Model Evaluation Framework

    SciTech Connect

    2014-02-14

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and 1/0 through the time domain (or other discrete domain), and sample 1/0 drivers. This is a Framework library framework, and does not, itself, solve any problems or execute any modelling. The SeMe framework aids in development of models which operate on sequential information, such as time-series, where evaluation is based on prior results combined with new data for this iteration. Ha) applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed

  11. Sequentially Executed Model Evaluation Framework

    Energy Science and Technology Software Center

    2014-02-14

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and 1/0 through the time domain (or other discrete domain), and sample 1/0 drivers. This is a Framework library framework, and does not, itself, solve any problems or execute any modelling. The SeMe framework aids in development of models which operate on sequential information, suchmore » as time-series, where evaluation is based on prior results combined with new data for this iteration. Ha) applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed« less

  12. Sample Business Plan Framework 5

    Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 5: A program that establishes itself as a government entity, then operates using a fee-based structure.

  13. Sample Business Plan Framework 2

    Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  14. Sample Business Plan Framework 4

    Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 4: A program seeking to continue in the post-grant period as a marketing contractor to a utility.

  15. Sample Business Plan Framework 3

    Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 3: A government entity running a Commercial PACE program in the post-grant period.

  16. DISCOVERY OF AN ULTRAMASSIVE PULSATING WHITE DWARF

    SciTech Connect

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

    2013-07-01

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

  17. DISCOVERY OF TWO ADDITIONAL JOVIAN IRREGULARS

    SciTech Connect

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

    2012-07-15

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

  18. Langley Deep Field, discovery and interpretation

    SciTech Connect

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

    1984-01-01

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

  19. Knowledge-based fault diagnosis system for refuse collection vehicle

    SciTech Connect

    Tan, CheeFai; Juffrizal, K.; Khalil, S. N.; Nidzamuddin, M. Y.

    2015-05-15

    The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle.

  20. Robust automated knowledge capture.

    SciTech Connect

    Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

    2011-10-01

    This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

  1. Site Transition Framework | Department of Energy

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

    Site Transition Framework (April 2004) PDF icon Site Transition Framework More Documents & Publications Process for Transition of Uranium Mill Tailings Radiation Control Act Title ...

  2. ICF Program Framework | National Nuclear Security Administration...

    National Nuclear Security Administration (NNSA)

    Program Framework 2016 Inertial Confinement Fusion Program Framework, U.S. Department of Energy, National Nuclear Security Administration, May 16, 2016. DOENA-0044

  3. Introduction to Framework | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Introduction to Framework (Redirected from Introduction to Methodology) Jump to: navigation, search Stage 1 LEDS Home Introduction to Framework Assess current country plans,...

  4. Secure Policy-Based Configuration Framework (PBCONF)

    Energy.gov [DOE] (indexed site)

    Policy-Based Configuration Framework (PBCONF) Interoperable, open-source framework for ... However, this attack vector can be mitigated by applying a uniform security policy across ...

  5. International Framework for Nuclear Energy Cooperation (IFNEC...

    Office of Environmental Management (EM)

    (IFNEC) Expert meetings in Romania International Framework for Nuclear Energy Cooperation (IFNEC) Expert meetings in Romania May 28, 2014 - 12:37pm Addthis International Framework ...

  6. A Conceptual Framework for Progressing Towards Sustainability...

    OpenEI (Open Energy Information) [EERE & EIA]

    Framework for Progressing Towards Sustainability in the Agriculture and Food Sector Jump to: navigation, search Tool Summary LAUNCH TOOL Name: A Conceptual Framework for...

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

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

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

  8. Electrochemical Discovery Laboratory - Joint Center for Energy Storage

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

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

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

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

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

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

    Energy Information Administration (EIA) (indexed site)

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

  11. 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

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

    Energy Information Administration (EIA) (indexed site)

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

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

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

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

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

    Office of Science (SC)

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

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

    Annual Energy Outlook

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

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

    Energy Information Administration (EIA) (indexed site)

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

  17. Discovery and Preclinical Characterization of theCyclopropylindoloben...

    Office of Scientific and Technical Information (OSTI)

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

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

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

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

    Office of Science (SC)

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

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

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

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

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

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

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

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

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

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

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

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

    ScienceCinema

    Hoffman, Darleane

    2016-07-12

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Office of Science (SC)

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

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

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

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

  11. Published New Reservoir Proved Revision Revision New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  12. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update

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

  13. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update

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

  14. Published New Reservoir Proved Revision Revision New Field Discoveries

    Annual Energy Outlook

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

  15. Published New Reservoir Proved Revision Revision New Field Discoveries

    Annual Energy Outlook

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

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

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

  19. PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-Security Concepts

    SciTech Connect

    McNeil, Nikki C; Bridges, Robert A; Iannacone, Michael D; Czejdo, Bogdan; Perez, Nicolas E; Goodall, John R

    2013-01-01

    Public disclosure of important security information, such as knowledge of vulnerabilities or exploits, often occurs in blogs, tweets, mailing lists, and other online sources significantly before proper classification into structured databases. In order to facilitate timely discovery of such knowledge, we propose a novel semi-supervised learning algorithm, PACE, for identifying and classifying relevant entities in text sources. The main contribution of this paper is an enhancement of the traditional bootstrapping method for entity extraction by employing a time-memory trade-off that simultaneously circumvents a costly corpus search while strengthening pattern nomination, which should increase accuracy. An implementation in the cyber-security domain is discussed as well as challenges to Natural Language Processing imposed by the security domain.

  20. Sequentially Executed Model Evaluation Framework

    Energy Science and Technology Software Center

    2015-10-20

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and I/O through the time domain (or other discrete domain), and sample I/O drivers. This is a library framework, and does not, itself, solve any problems or execute any modeling. The SeMe framework aids in development of models which operate on sequential information, such asmore » time-series, where evaluation is based on prior results combined with new data for this iteration. Has applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed for anomalies.« less

  1. Site Transition Framework for Long-Term Surveillance and Maintenance...

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

    Framework for Long-Term Surveillance and Maintenance Site Transition Framework for Long-Term Surveillance and Maintenance The Site Transition Framework (STF) provides a framework ...

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

    SciTech Connect

    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

  3. Developing a Regional Recovery Framework

    SciTech Connect

    Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody

    2011-09-01

    Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.

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

    DOE R&D Accomplishments

    Nagle, D. E.

    1984-07-01

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

  5. IMG-ABC: An Atlas of Biosynthetic Gene Clusters to Fuel the Discovery of Novel Secondary Metabolites

    SciTech Connect

    Chen, I-Min; Chu, Ken; Ratner, Anna; Palaniappan, Krishna; Huang, Jinghua; Reddy, T. B.K.; Cimermancic, Peter; Fischbach, Michael; Ivanova, Natalia; Markowitz, Victor; Kyrpides, Nikos; Pati, Amrita

    2014-10-28

    In the discovery of secondary metabolites (SMs), large-scale analysis of sequence data is a promising exploration path that remains largely underutilized due to the lack of relevant computational resources. We present IMG-ABC (https://img.jgi.doe.gov/abc/) -- An Atlas of Biosynthetic gene Clusters within the Integrated Microbial Genomes (IMG) system1. IMG-ABC is a rich repository of both validated and predicted biosynthetic clusters (BCs) in cultured isolates, single-cells and metagenomes linked with the SM chemicals they produce and enhanced with focused analysis tools within IMG. The underlying scalable framework enables traversal of phylogenetic dark matter and chemical structure space -- serving as a doorway to a new era in the discovery of novel molecules.

  6. Sandia National Laboratories: Laboratories' Strategic Framework

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

    Strategic Framework Vision, Mission, and Values Strategic Framework Mission Areas Laboratories Foundation Strategic Objectives and Crosscuts About Strategic Framework strategic framework Sandia continues to be engaged in the significant demands of the nation's nuclear weapons modernization program while conducting a whole range of activities in broader national security. The Laboratories' strategic framework drives strategic decisions about the totality of our work and has positioned our

  7. Passport to Knowledge | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Passport to Knowledge Jump to: navigation, search Logo: Passport to Knowledge Name: Passport to Knowledge Place: Morristown, New Jersey Region: Northeast - NY NJ CT PA Area...

  8. PHENIX: Beyond 15 years of discovery

    DOE PAGES [OSTI]

    Morrison, David; Nagle, James L.

    2015-01-12

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

  9. PHENIX: Beyond 15 years of discovery

    SciTech Connect

    Morrison, David; Nagle, James L.

    2015-01-12

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

  10. Framework for SCADA Security Policy

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

    Framework for SCADA Security Policy Dominique Kilman Jason Stamp dkilman@sandia.gov jestamp@sandia.gov Sandia National Laboratories Albuquerque, NM 87185-0785 Abstract - Modern automation systems used in infrastruc- ture (including Supervisory Control and Data Acquisition, or SCADA) have myriad security vulnerabilities. Many of these relate directly to inadequate security administration, which precludes truly effective and sustainable security. Adequate security management mandates a clear

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

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

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

  12. Knowledge Signatures for Information Integration

    SciTech Connect

    Thomson, Judi; Cowell, Andrew J.; Paulson, Patrick R.; Butner, R. Scott; Whiting, Mark A.

    2003-10-25

    This paper introduces the notion of a knowledge signature: a concise, ontologically-driven representation of the semantic characteristics of data. Knowledge signatures provide programmatic access to data semantics while allowing comparisons to be made across different types of data such as text, images or video, enabling efficient, automated information integration. Through observation, which determines the degree of association between data and ontological concepts, and refinement, which uses the axioms and structure of the domain ontology to place the signature more accurately within the context of the domain, knowledge signatures can be created. A comparison of such signatures for two different pieces of data results in a measure of their semantic separation. This paper discusses the definition of knowledge signatures along with the design and prototype implementation of a knowledge signature generator.

  13. An expert system framework for nondestructive waste assay

    SciTech Connect

    Becker, G.K.

    1996-10-01

    Management and disposition of transuranic (RU) waste forms necessitates determining entrained RU and associated radioactive material quantities as per National RU Waste Characterization Program requirements. Technical justification and demonstration of a given NDA method used to determine RU mass and uncertainty in accordance with program quality assurance is difficult for many waste forms. Difficulties are typically founded in waste NDA methods that employ standards compensation and/or employment of simplifying assumptions on waste form configurations. Capability to determine and justify RU mass and mass uncertainty can be enhanced through integration of waste container data/information using expert system and empirical data-driven techniques with conventional data acquisition and analysis. Presented is a preliminary expert system framework that integrates the waste form data base, alogrithmic techniques, statistical analyses, expert domain knowledge bases, and empirical artificial intelligence modules into a cohesive system. The framework design and bases in addition to module development activities are discussed.

  14. Framework Application for Core Edge Transport Simulation (FACETS)

    SciTech Connect

    Krasheninnikov, Sergei; Pigarov, Alexander

    2011-10-15

    The FACETS (Framework Application for Core-Edge Transport Simulations) project of Scientific Discovery through Advanced Computing (SciDAC) Program was aimed at providing a high-fidelity whole-tokamak modeling for the U.S. magnetic fusion energy program and ITER through coupling separate components for each of the core region, edge region, and wall, with realistic plasma particles and power sources and turbulent transport simulation. The project also aimed at developing advanced numerical algorithms, efficient implicit coupling methods, and software tools utilizing the leadership class computing facilities under Advanced Scientific Computing Research (ASCR). The FACETS project was conducted by a multi-discipline, multi-institutional teams, the Lead PI was J.R. Cary (Tech-X Corp.). In the FACETS project, the Applied Plasma Theory Group at the MAE Department of UCSD developed the Wall and Plasma-Surface Interaction (WALLPSI) module, performed its validation against experimental data, and integrated it into the developed framework. WALLPSI is a one-dimensional, coarse grained, reaction/advection/diffusion code applied to each material boundary cell in the common modeling domain for a tokamak. It incorporates an advanced model for plasma particle transport and retention in the solid matter of plasma facing components, simulation of plasma heat power load handling, calculation of erosion/deposition, and simulation of synergistic effects in strong plasma-wall coupling.

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

    Energy Information Administration (EIA) (indexed site)

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

  16. Miscellaneous States Shale Gas Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

  3. Oklahoma Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Field Discoveries (Billion Cubic Feet) Oklahoma Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 54 37 47 0 145 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  4. Pennsylvania Shale Proved Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) Field Discoveries (Billion Cubic Feet) Pennsylvania Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 120 2010's 49 162 251 0 8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  5. Texas Crude Oil + Lease Condensate Reserves New Field Discoveries (Million

    Energy Information Administration (EIA) (indexed site)

    Barrels) New Field Discoveries (Million Barrels) Texas Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 11 2010's 78 33 23 3 10 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field Discoveries

  6. West Virginia Shale Proved Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) Field Discoveries (Billion Cubic Feet) West Virginia Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 141 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field Discoveries

  7. Colorado Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

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

  8. Kansas Crude Oil + Lease Condensate Reserves New Field Discoveries (Million

    Energy Information Administration (EIA) (indexed site)

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

  9. Organizing environmental flow frameworks to meet hydropower mitigation needs

    DOE PAGES [OSTI]

    McManamay, Ryan A.; Brewer, Shannon K.; Jager, Henriette I.; Troia, Matthew J.

    2016-06-25

    The global recognition of the importance of natural flow regimes to sustain the ecological integrity of river systems has led to increased societal pressure on the hydropower industry to change plant operations to improve downstream aquatic ecosystems. However, a complete reinstatement of natural flow regimes is often unrealistic when balancing water needs for ecosystems, energy production, and other human uses. Thus, stakeholders must identify a prioritized subset of flow prescriptions that meet ecological objectives in light of realistic constraints. Yet, isolating aspects of flow regimes to restore downstream of hydropower facilities is among the greatest challenges of environmental flow sciencemore » due, in part, to the sheer volume of available environmental flow tools in conjunction with complex negotiation-based regulatory procedures. Here, we propose an organizational framework that structures information and existing flow paradigms into a staged process that assists stakeholders in implementing environmental flows for hydropower facilities. The framework identifies areas where regulations fall short of the needed scientific process, and provide suggestions for stakeholders to ameliorate those situations through advanced preparation. We highlight the strengths of existing flow paradigms in their application to hydropower settings and suggest when and where tools are most applicable. In conclusion, our suggested framework increases the effectiveness and efficiency of the e-flow implementation process by rapidly establishing a knowledge base and decreasing uncertainty so more time can be devoted to filling knowledge gaps. As a result, the framework provides the structure for a coordinated research agenda to further the science of environmental flows related to hydropower environments.« less

  10. A novel approach to the exploration of the Southern Apennines, Italy: Geological models and oil discoveries

    SciTech Connect

    Pasi, R.; Dattilo, P.; Bertozzi, G.

    1995-08-01

    The last, successful, exploration phase in the Southern Apennines started in the early eighties after small but encouraging discoveries of oil in the carbonates of the Apulian Platform foreland, in the Basilicata region. The poor seismic definition of the top of this unit and the extremely poor seismic imaging of the overlying {open_quotes}allochthonous{close_quotes}, forced the oil companies active in the area to build geological models in order to constrain the seismic interpretation. The main units within the proposed simplified depositional and structural framework are represented by two carbonate platforms separated by a seaway: the Apenninic Platform to the West, the Apulian Platform to the East and the Lagonegro Basin in between. Due to the Tirrenian Sea spreading and/or subduction of the Adria Plate, the Apenninic Platform, Lagonegro basin-fill and related syntectonic sediments were thrusted over the Apulian Platform and its overlying Pliocene foredeep. According to the proposed model, the Apulian Platform has been differentiated into three main structural domains. These are interpreted as resulting from the decreasing horizontal compressive stress from west to east. All these domains are proved oil producer. The geological modelling of a formerly unknownly structural trend developed during the compressive phases represented the key for major oil discoveries performed at the end of the eighties. The reservoir in this area, homogeneous in first approximation, is characterised by high fracturing, related to the several tectonic regimes that affected the Apulian Platform, moderate matrix and vuggy porosity and several hundreds of meters of oil column.

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

    Office of Scientific and Technical Information (OSTI)

    OSTI is conducting applied research on a number of challenges related to this vision aimed at turning local discovery into Global Discovery. The benefits for researchers, for ...

  12. Discovery of a 〈210〉-fiber texture in medical-grade metastable...

    Office of Scientific and Technical Information (OSTI)

    Discovery of a 210-fiber texture in medical-grade metastable beta titanium wire This content will become publicly available on May 4, 2017 Title: Discovery of a ...

  13. Gas adsorption on metal-organic frameworks

    DOEpatents

    Willis, Richard R.; Low, John J. , Faheem, Syed A.; Benin, Annabelle I.; Snurr, Randall Q.; Yazaydin, Ahmet Ozgur

    2012-07-24

    The present invention involves the use of certain metal organic frameworks that have been treated with water or another metal titrant in the storage of carbon dioxide. The capacity of these frameworks is significantly increased through this treatment.

  14. Framework Topic Briefing: Direct Feed LAW

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

    February 13, 2014 Framework Topic Briefing: Direct Feed LAW Next steps: Put Dick's handouts on SharePoint * Continue Framework topic briefing series Page 1 System Plan 7 Next ...

  15. Energy Sector Cybersecurity Framework Implementation Guidance | Department

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

    of Energy Sector Cybersecurity Framework Implementation Guidance Energy Sector Cybersecurity Framework Implementation Guidance On January 8, 2015, the Energy Department released guidance to help the energy sector establish or align existing cybersecurity risk management programs to meet the objectives of the Cybersecurity Framework released by the National Institutes of Standards and Technology (NIST) in February 2014. The voluntary Cybersecurity Framework consists of standards, guidelines,

  16. Threat Analysis Framework | Department of Energy

    Energy.gov [DOE] (indexed site)

    Threat Analysis Framework Categorizing Threat Building and Using a Generic Threat Matrix Advanced Metering Infrastructure Security Considerations Careers & Internships Funding...

  17. Threat Analysis Framework | Department of Energy

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

    Threat Analysis Framework Threat Analysis Framework The need to protect national critical infrastructure has led to the development of a threat analysis framework. The threat analysis framework can be used to identify the elements required to quantify threats against critical infrastructure assets and provide a means of distributing actionable threat information to critical infrastructure entities for the protection of infrastructure assets. This document identifies and describes five key

  18. Dark matter: the next great discovery of particle physics?: Ettore...

    Office of Scientific and Technical Information (OSTI)

    to these remaining questions are being pursued on all frontiers of discovery. In this talk, I will provide an overview of the suite of experiments that is colloquially known as...

  19. DISCOVERY AND CHARACTERIZATION OF AN EXTREMELY DEEP-ECLIPSING...

    Office of Scientific and Technical Information (OSTI)

    We report the discovery of an eclipsing cataclysmic variable with eclipse depths >5.7 mag, ... The optical light curves show a deep, 5-minute eclipse immediately followed by a shallow ...

  20. Pantex night held at discovery center | National Nuclear Security...

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

    event featured an exhibit on the extinct Megalodon shark as well as a mummy in the Lost Egypt exhibit. B&W Pantex sponsored the shark exhibit. Pantex night held at discovery center...

  1. Robert Curl, Jr. and the Discovery of Fullerenes

    Office of Scientific and Technical Information (OSTI)

    Tommy LaVergne Rice University The 1996 Nobel Prize in Chemistry was awarded to Robert F. Curl, Jr., Richard E. Smalley and Sir Harold Kroto 'for their 1985 discovery of...

  2. DOE-Led Research Team Makes Significant Rare Earth Discovery...

    Office of Environmental Management (EM)

    DOE-Led Research Team Makes Significant Rare Earth Discovery DOE-Led Research Team Makes ... Energy (DOE) has found that rare earth elements (REEs) can be removed from two U.S. ...

  3. Stories of Discovery & Innovation: Trapping the Light Fantastic...

    Office of Science (SC)

    Stories of Discovery & Innovation: Trapping the Light Fantastic Print Text Size: A A A Subscribe FeedbackShare Page New solar cell design uses advanced optics and nanotechnology to ...

  4. SAMDI Mass Spectrometry for High Throughput Discovery of Enzyme...

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

    SAMDI Mass Spectrometry for High Throughput Discovery of Enzyme Function January 15, 2016 11:00AM to 12:00PM Presenter Milan Mrksich, Northwestern University Location Building 446,...

  5. ORNL, partners officially recognized for discovery of elements 115, 117

    ScienceCinema

    Roberto, Jim

    2016-01-15

    The International Union for Pure and Applied Chemistry has announced formal verification of four new chemical elements, recognizing the Department of Energy?s Oak Ridge National Laboratory and its collaborators for the discovery of elements 115 and 117.

  6. 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...

  7. Similarity-Driven Discovery of Zeolite Materials for Adsorption...

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

    Similarity-Driven Discovery of Zeolite Materials for Adsorption-Based Separations Previous Next List Richard L. Martin, Thomas F. Willems, Li-Chiang Lin, Jihan Kim, Joseph A....

  8. Robert Curl, Jr. and the Discovery of Fullerenes

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

    awarded to Robert F. Curl, Jr., Richard E. Smalley and Sir Harold Kroto 'for their 1985 discovery of "fullerenes," geometric carbon clusters shaped in the pattern of soccer balls. ...

  9. DOE Isotope Program Provides Target Material for the Discovery...

    Office of Science (SC)

    Discovery of Superheavy Elements Basic Energy Sciences (BES) BES Home About Research ... Enlarge Photo Image courtesy of source The green dot at the bottom of the glass vial is ...

  10. Growth and Discovery of Novel Materials | The Ames Laboratory

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

    Growth and Discovery of Novel Materials During this SULI program the student will learn how to grow single crystals of novel intermetallic compounds as part of the on-going Ames...

  11. Energy Sector Cybersecurity Framework Implementation Guidance

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

    JANUARY 2015 ENERGY SECTOR CYBERSECURITY FRAMEWORK IMPLEMENTATION GUIDANCE U.S. DEPARTMENT OF ENERGY OFFICE OF ELECTRICITY DELIVERY AND ENERGY RELIABILITY Energy Sector Cybersecurity Framework Implementation Guidance │ Table of Contents TABLE OF CONTENTS 1. Introduction .............................................................................................................................................. 1 2. Preparing for Framework Implementation

  12. Cobalt discovery replaces precious metals as industrial catalyst

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

    Cobalt Discovery Replaces Precious Metals Cobalt discovery replaces precious metals as industrial catalyst Cobalt holds promise as an industrial catalyst with potential applications in such energy-related technologies such as production of biofuels and reduction of carbon dioxide. November 26, 2012 The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. The artwork depicts the

  13. Cobalt discovery replaces precious metals as industrial catalyst

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

    Cobalt Discovery Replaces Precious Metals Cobalt discovery replaces precious metals as industrial catalyst Cobalt holds promise as an industrial catalyst with potential applications in such energy-related technologies such as production of biofuels and reduction of carbon dioxide. November 26, 2012 The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. The artwork depicts the

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

    Office of Science (SC)

    Discoveries Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Program Summaries Brochures Reports Accomplishments Discoveries Nobel Prizes Vignettes Archives Presentations BES and Congress Science for Energy Flow Seeing Matter Nano for Energy Scale of Things Chart Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building

  15. Louisiana--North Coalbed Methane Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  16. Louisiana--South Onshore Shale Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  17. Miscellaneous States Coalbed Methane Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  18. Montana Coalbed Methane Proved Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

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

  19. Alabama (with State Offshore) Shale Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  20. Alaska (with Total Offshore) Shale Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  1. Arkansas Coalbed Methane Proved Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

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

  2. Arkansas Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  3. Arkansas Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

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

  4. California (with State off) Shale Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  5. Colorado Coalbed Methane Proved Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

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

  6. Ohio Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

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

  7. Ohio Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  8. Pennsylvania Coalbed Methane Proved Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

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

  9. Pennsylvania Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

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

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

    Flow cytometry aids basic cell biology research and drug discovery Flow cytometry aids basic cell biology research and drug discovery Life Technologies Corporation and LANL have released the Attune® Acoustic Focusing Cytometer, featuring a reduced footprint, reduced consumables, and an affordable price. April 3, 2012 Attune® Acoustic Focusing Cytometer The Attune® Acoustic Focusing Cytometer achieves sample throughput at rates over 10 times faster than other cytometers-up to 1,000 μL per

  11. Utah Crude Oil + Lease Condensate Reserves New Field Discoveries (Million

    Energy Information Administration (EIA) (indexed site)

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

  12. Utah Natural Gas Liquids Lease Condensate, Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  13. Virginia Coalbed Methane Proved Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

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

  14. Virginia Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

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

  15. Virginia Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

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

  16. West Virginia Coalbed Methane Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  17. 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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

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

    The Top Quark, Its Discovery, and Subsequent Research Resources with Additional Information 'Ever since the existence of the bottom (or b) quark was inferred from the discovery of the Upsilon family of resonances at Fermilab in 1977, particle physicists have been on the lookout for its partner, called top (or t). The long search, which occupied experimenters at laboratories around the world, came to a successful conclusion in February 1995 with the announcement that the top quark had been

  1. CERN Announces Discovery of Different Pentaquarks | Jefferson Lab

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

    CERN Announces Discovery of Different Pentaquarks Illustration of the possible layout of the quarks in a pentaquark particle such as those discovered at LHCb. The five quarks might be tightly bonded (shown), or they might also be assembled into a meson (one quark and one antiquark) and a baryon (three quarks), weakly bonded together (not shown). Images: © CERN / LHCb Collaboration. CERN Announces Discovery of Different Pentaquarks NEWPORT NEWS, VA, July 15, 2015 - CERN, the European

  2. Supernova Discoveries from the Nearby Supernova Factory (SNfactory) () |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Discoveries from the Nearby Supernova Factory (SNfactory) Title: Supernova Discoveries from the Nearby Supernova Factory (SNfactory) The Nearby Supernova Factory is an experiment designed to collect data on more Type Ia supernovae than have ever been studied in a single project before, and in so doing, to answer some fundamental questions about the nature of the universe. Type Ia supernovae are extraordinarily bright, remarkably uniform objects which make excellent

  3. ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL

    Office of Scientific and Technical Information (OSTI)

    RESOURCES IN THE GREAT BASIN, USA (Technical Report) | SciTech Connect ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL RESOURCES IN THE GREAT BASIN, USA Citation Details In-Document Search Title: ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF NEW GEOTHERMAL RESOURCES IN THE GREAT BASIN, USA This report summarizes the results of Phase I work for a go/no go decision on Phase II funding. In the first objective, we assessed the extent to which

  4. Tools for Discovery Offer Potential Hope for Huntington's | Department of

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

    Energy Tools for Discovery Offer Potential Hope for Huntington's Tools for Discovery Offer Potential Hope for Huntington's May 25, 2011 - 3:24pm Addthis Flora Meilleur prepares protein solutions for structural investigation with neutrons. | Courtesy of ORNL Flickr / Jason Richards Flora Meilleur prepares protein solutions for structural investigation with neutrons. | Courtesy of ORNL Flickr / Jason Richards Charles Rousseaux Charles Rousseaux Senior Communications Specialist (detailee) What

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

    Energy Information Administration (EIA) (indexed site)

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

  6. Illinois Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  7. Indiana Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  8. Kansas Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

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

  9. Kansas Natural Gas Liquids Lease Condensate, Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  10. Kansas Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

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

  11. Kentucky Coalbed Methane Proved Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

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

  12. Kentucky Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  13. Kentucky Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

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

  14. Wyoming Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

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

  15. BOA: Framework for automated builds

    SciTech Connect

    N. Ratnikova et al.

    2003-09-30

    Managing large-scale software products is a complex software engineering task. The automation of the software development, release and distribution process is most beneficial in the large collaborations, where the big number of developers, multiple platforms and distributed environment are typical factors. This paper describes Build and Output Analyzer framework and its components that have been developed in CMS to facilitate software maintenance and improve software quality. The system allows to generate, control and analyze various types of automated software builds and tests, such as regular rebuilds of the development code, software integration for releases and installation of the existing versions.

  16. Deactivation & Decommissioning Knowledge Management Information...

    Energy Saver

    The D&D Knowledge Management Information Tool (KM-IT) is a web-based information tool to ... The D&D KM-IT has been developed through the application of state-of-the-art web ...

  17. A Multiscale Bidirectional Coupling Framework

    SciTech Connect

    Kabilan, Senthil; Kuprat, Andrew P.; Hlastala, Michael P.; Corley, Richard A.; Einstein, Daniel R.

    2011-12-01

    The lung is geometrically articulated across multiple scales from the trachea to the alveoli. A major computational challenge is to tightly link ODEs that describe lower scales to 3D finite element or finite volume models of airway mechanics using iterative communication between scales. In this study, we developed a novel multiscale computational framework for bidirectionally coupling 3D CFD models and systems of lower order ODEs. To validate the coupling framework, a four and eight generation Weibel lung model was constructed. For the coupled CFD-ODE simulations, the lung models were truncated at different generations and a RL circuit represented the truncated portion. The flow characteristics from the coupled models were compared to untruncated full 3D CFD models at peak inhalation and peak exhalation. Results showed that at no time or simulation was the difference in mass flux and/or pressure at a given location between uncoupled and coupled models was greater than 2.43%. The flow characteristics at prime locations for the coupled models showed good agreement to uncoupled models. Remarkably, due to reuse of the Krylov subspace, the cost of the ODE coupling is not much greater than uncoupled full 3D-CFD computations with simple prescribed pressure values at the outlets.

  18. Oil discoveries and basin resource prediction in Latin America: Past, present, and future

    SciTech Connect

    Kronman, G.E.; Aleman, A.M.; Rushworth, S.W. )

    1993-02-01

    Over 350 oil discoveries were made in Latin America during the 1980s. About 12% are estimated to contain reserves greater than 100 MMBO. Several of the larger finds (>500 MMBO), such as Cusiana (Colombia), Furrial/Musipan (Venezuela), Cano Lima (Colombia) and Marlim (Brazil) represent an important part of the giant field found worldwide since 1980. Most of the larger discoveries were made by national oil companies in Venezuela, Mexico and Brazil. Undiscovered oil resources of 40-80 BBO are estimated to remain in the highest potential Latin American basins, including those in Mexico, based on historical field size data and current geological knowledge. Over 150 BBO of produced oil and proven reserves has been found in the same group of basins. The probability of finding large undiscovered oil and gas fields (>100 MMBOE) in selected established and mature Latin American basins is high. The Campos (Brazil), Llanos (Colombia), Magadalena (Colombia), Maracaibo (Venezuela), Marahon-Oriente-Putomayo (Peru-Ecuador-Colombia), Maturin (Venezuela), Reforma-Campeche (Mexico) and Ucayali (Peru) basins have the best possibility for such accumulations. Another tier of frontier and emerging basins may also contain significant resources, but limited data makes it difficult to estimate their undiscovered resources. Some of the higher potential basins in this group include the Sierra de Chiapas (Mexico/Guatemala), Huallaga (Peru), Yucatan (Mexico), Sabinas, and Burgos (Mexico) basins.

  19. The Fruition of 4f Discovery, The interplay of basic and applied research

    SciTech Connect

    K.A. Gschneidner, Jr

    2004-09-30

    A broad base of knowledge is necessary for the successful solution to applied problems, but on the other hand, developing such practical solutions can open the door to new and exciting adventures in basic research. Several such synergistic events are briefly described. These include the design and development of magnetic refrigerant materials (1) for the liquefaction of H{sub 2} gas, and (2) for near-room temperature cooling and refrigeration; and (3) the design and development of cryocooler regenerator materials. The first led to the discovery of both supercooling and superheating in the same substance (Dy and Er); the second to the discovery of the giant magnetocaloric effect, the colossal magnetostriction, and the giant magnetoresistance in the same substance [Gd{sub 5}(Si{sub x}Ge{sub 1-x}{sub 4})]; and the third the disappearance of three of the four magnetically ordered phases in Er by Pr additions in both high purity Er and commercial grade Er.

  20. Towards a framework of nuclear competencies

    SciTech Connect

    Ghitescu, P.

    2012-07-01

    For the countries considering the introduction of a nuclear energy program, the management of human resources should be a part of the wider integrated management system in order to ensure long term safe and reliable operation. Nuclear energy strategy and approaches to human resources development should take into consideration such fundamental aspects as: development and implementation of a workforce plan, required competencies and qualifications, prerequisites for staffing a nuclear energy program, needed training programs and training facilities, qualification and training requirements. Development of common instruments that respond to the above needs and vision has lead to a new concept of European Credit System for Vocational Education and Training. The European Credit System for Vocational Education and Training (ECVET) is based on definition of 'learning outcomes ' in terms of knowledge, skills and competence, and on identification of portfolios of learning outcomes that allow an individual to prove competencies in a coherent manner. ECVET proposes a common understanding of basic definitions of education and training as well as of the new proposed concepts and it should be recognized by all employers in the EU. In this context, a number of 'Euratom Fission Training Schemes' (EFTS) have been launched in specific areas where a shortage of skilled professionals has been identified. In these schemes the competence building is the result of traditional education plus life-long learning, non-traditional learning, and other forms of educational experiences, relying, in particular, on border-less mobility to get acquainted with various sectors. Each particular Training Scheme should follow a similar path for the achievement of the designed learning outcomes (knowledge, skills, and attitudes). This path to the Training Scheme consists of different activities regarding: definition of training scheme learning outcomes and modules, assessment of prerequisites and student

  1. In silico screening of metal-organic frameworks in separation...

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

    frameworks in separation applications Abstract: Porous materials such as metal-organic frameworks (MOFs) and zeolitic imidazolate frameworks (ZIFs) offer considerable...

  2. Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric

    Alternative Fuels and Advanced Vehicles Data Center

    Dune Buggy Camp Discovery Helps Kids Build an Electric Dune Buggy to someone by E-mail Share Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Facebook Tweet about Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Twitter Bookmark Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Google Bookmark Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune

  3. Central Characterization Program (CCP), Acceptable Knowledge...

    Office of Environmental Management (EM)

    , Acceptable Knowledge Summary Report for Los Alamos National Laboratory, TA-55 Mixed Transuranic Waste Streams Central Characterization Program (CCP), Acceptable Knowledge Summary...

  4. UCEAO: Energy Knowledge Bank | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    UCEAO: Energy Knowledge Bank Jump to: navigation, search Name: UCEAO: Energy Knowledge Bank Place: Ohio Website: knowledgebank.uso.edu References: University Clean Energy Alliance...

  5. National Geothermal Data System: Transforming the Discovery, Access, and Analytics of Data for Geothermal Exploration

    SciTech Connect

    Patten, Kim

    2013-05-01

    Compendium of Papers from the 38th Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California February 11-13, 2013 The National Geothermal Data System (NGDS) is a distributed, interoperable network of data collected from state geological surveys across all fifty states and the nation’s leading academic geothermal centers. The system serves as a platform for sharing consistent, reliable, geothermal-relevant technical data with users of all types, while supplying tools relevant for their work. As aggregated data supports new scientific findings, this content-rich linked data ultimately broadens the pool of knowledge available to promote discovery and development of commercial-scale geothermal energy production. Most of the up-front risks associated with geothermal development stem from exploration and characterization of subsurface resources. Wider access to distributed data will, therefore, result in lower costs for geothermal development. NGDS is on track to become fully operational by 2014 and will provide a platform for custom applications for accessing geothermal relevant data in the U.S. and abroad. It is being built on the U.S. Geoscience Information Network (USGIN) data integration framework to promote interoperability across the Earth sciences community. The basic structure of the NGDS employs state-of-the art informatics to advance geothermal knowledge. The following four papers comprising this Open-File Report are a compendium of presentations, from the 38th Annual Workshop on Geothermal Reservoir Engineering, taking place February 11-13, 2013 at Stanford University, Stanford, California. “NGDS Geothermal Data Domain: Assessment of Geothermal Community Data Needs,” outlines the efforts of a set of nationwide data providers to supply data for the NGDS. In particular, data acquisition, delivery, and methodology are discussed. The paper addresses the various types of data and metadata required and why simple links to existing

  6. Evidence for neutrino mass: A decade of discovery

    SciTech Connect

    Heeger, Karsten M.

    2004-12-08

    Neutrino mass and mixing are amongst the major discoveries of recent years. From the observation of flavor change in solar and atmospheric neutrino experiments to the measurements of neutrino mixing with terrestrial neutrinos, recent experiments have provided consistent and compelling evidence for the mixing of massive neutrinos. The discoveries at Super-Kamiokande, SNO, and KamLAND have solved the long-standing solar neutrino problem and demand that we make the first significant revision of the Standard Model in decades. Searches for neutrinoless double-beta decay probe the particle nature of neutrinos and continue to place limits on the effective mass of the neutrino. Possible signs of neutrinoless double-beta decay will stimulate neutrino mass searches in the next decade and beyond. I review the recent discoveries in neutrino physics and the current evidence for massive neutrinos.

  7. Energy Sector Cybersecurity Framework Implementation Guidance...

    Energy.gov [DOE] (indexed site)

    Department released guidance to help the energy sector establish or align existing cybersecurity risk management programs to meet the objectives of the Cybersecurity Framework...

  8. Draft Energy Sector Cybersecurity Framework Implementation Guidance...

    Energy.gov [DOE] (indexed site)

    in the Federal Register, inviting the public to comment on DOE's Energy Sector Cybersecurity Framework Implementation Guidance. Comments must be received on or before October...

  9. Energy Sector Cybersecurity Framework Implementation Guidance...

    Energy.gov [DOE] (indexed site)

    invites public comment on a draft of the Energy Sector Cybersecurity Framework Implementation Guidance. Comments must be received on or before October 14, 2014. The draft document...

  10. Decision Support Tool: Integrated REDD+ accounting frameworks...

    OpenEI (Open Energy Information) [EERE & EIA]

    Decision Support Tool: Integrated REDD+ accounting frameworks: Nested national approaches Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Decision Support Tool:...

  11. Technical Meeting: Software Framework for Transactive Energy...

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

    Technical Meeting: Software Framework for Transactive Energy: VOLTTRON(tm) 2015 On July 23 and 24, 2015, BTO held technical meetings graciously hosted by the Virginia Tech Advanced ...

  12. Gas sensor incorporating a porous framework

    DOEpatents

    Yaghi, Omar M.; Czaja, Alexander U.; Wang, Bo; Furukawa, Hiroyasu; Galatsis, Kosmas; Wang, Kang L.

    2013-07-09

    The disclosure provides sensor for gas sensing including CO.sub.2 gas sensors comprising a porous framework sensing area for binding an analyte gas.

  13. Gas sensor incorporating a porous framework

    DOEpatents

    Yaghi, Omar M; Czaja, Alexander U; Wang, Bo; Galatsis, Kosmas; Wang, Kang L; Furukawa, Hiroyasu

    2014-05-27

    The disclosure provides sensor for gas sensing including CO.sub.2 gas sensors comprising a porous framework sensing area for binding an analyte gas.

  14. Preparation of metal-catecholate frameworks

    DOEpatents

    Yaghi, Omar M.; Gandara-Barragan, Felipe; Lu, Zheng; Wan, Shun

    2014-06-03

    The disclosure provides for metal catecholate frameworks, and methods of use thereof, including gas separation, gas storage, catalysis, tunable conductors, supercapacitors, and sensors.

  15. Energy Sector Cybersecurity Framework Implementation Guidance...

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

    In February 2014, the National Institute of Standards and Technology (NIST) released a Cybersecurity Framework. DOE has collaborated with private sector stakeholders through the ...

  16. Energy Sector Cybersecurity Framework Implementation Guidance

    Energy.gov [DOE] (indexed site)

    JANUARY 2015 ENERGY SECTOR CYBERSECURITY FRAMEWORK IMPLEMENTATION GUIDANCE U.S. DEPARTMENT OF ENERGY OFFICE OF ELECTRICITY DELIVERY AND ENERGY RELIABILITY Energy Sector ...

  17. DOE Announces Webinars on Getting Buy-In for Energy Efficiency Projects and

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

    the Bioenergy Knowledge Discovery Framework | Department of Energy Getting Buy-In for Energy Efficiency Projects and the Bioenergy Knowledge Discovery Framework DOE Announces Webinars on Getting Buy-In for Energy Efficiency Projects and the Bioenergy Knowledge Discovery Framework September 26, 2013 - 9:51am Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies to training for the clean energy workforce.

  18. Interpenetration control in metal-organic frameworks for functional...

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

    Interpenetration control in metal-organic frameworks for functional applications Previous ... gas uptake capabilities and catalysis) caused by framework interpenetration. ...

  19. Knowledge information management toolkit and method

    DOEpatents

    Hempstead, Antoinette R.; Brown, Kenneth L.

    2006-08-15

    A system is provided for managing user entry and/or modification of knowledge information into a knowledge base file having an integrator support component and a data source access support component. The system includes processing circuitry, memory, a user interface, and a knowledge base toolkit. The memory communicates with the processing circuitry and is configured to store at least one knowledge base. The user interface communicates with the processing circuitry and is configured for user entry and/or modification of knowledge pieces within a knowledge base. The knowledge base toolkit is configured for converting knowledge in at least one knowledge base from a first knowledge base form into a second knowledge base form. A method is also provided.

  20. Published New Reservoir Proved Revision Revision New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    Shale natural gas proved reserves, reserves changes, and production, wet after lease separation, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 0 0 0 0 0 0 0 0 0 0 0 Lower 48 States 159,115 12,113 27,643 26,199 5,029 7,657 35,401

  1. The Discovery of the Higgs Boson: America's Role

    SciTech Connect

    2013-10-08

    The discovery of the Higgs boson was an international endeavor, involving thousands of physicists from across the world. While the accelerator at which the experimental work was done is located on Europe, the US supplied more physicists than any other single country. America had a very large role in the discovery of the Higgs particle and continues to have a leading role in the ongoing studies of the boson's properties. This video describes some of the contributions of U.S. universities and laboratories.

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

    Office of Scientific and Technical Information (OSTI)

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

  3. Louisiana Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Louisiana Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 772 7 16 23 17 1990's 3 68 75 5 25 63 13 11 57 44 2000's 45 27 68 12 18 6 27 0 191 257 2010's 48 47 5 17 57 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  4. Michigan Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Michigan Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 115 47 48 1980's 33 18 16 15 30 42 65 90 96 30 1990's 39 16 7 0 0 10 76 0 6 0 2000's 15 50 8 0 0 11 1 0 4 19 2010's 2 14 7 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  5. Oklahoma Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Oklahoma Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 181 155 197 1980's 168 412 376 53 53 94 14 11 26 91 1990's 50 10 0 25 0 23 30 2 4 0 2000's 20 13 14 6 8 1 0 6 21 0 2010's 51 47 44 2 135 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015

  6. Louisiana - South Onshore Dry Natural Gas Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) Louisiana - South Onshore Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 200 641 167 1980's 227 614 154 86 30 31 6 6 23 9 1990's 0 68 75 5 25 22 9 11 45 23 2000's 21 17 49 7 9 6 10 0 34 4 2010's 1 47 5 0 32 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  7. Louisiana Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  8. Louisiana Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  9. Louisiana State Offshore Dry Natural Gas Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) Louisiana State Offshore Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 99 0 9 0 8 1990's 0 0 0 0 0 9 0 0 12 21 2000's 18 9 10 0 4 0 17 0 0 0 2010's 0 0 0 16 25 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  10. Louisiana--North Coalbed Methane Proved Reserves New Reservoir Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  11. Lower 48 States Coalbed Methane Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) States Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane New Field Discoveries Lower 48 States Coalbed Methane Proved Reserves,

  12. Lower 48 States Coalbed Methane Proved Reserves New Reservoir Discoveries

    Energy Information Administration (EIA) (indexed site)

    in Old Fields (Billion Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Lower 48 States Coalbed Methane Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 91 2010's 0 13 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  13. Michigan Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  14. Michigan Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) Michigan Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 10 2010's 0 8 3 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field

  15. Michigan Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

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

  16. Miscellaneous States Crude Oil + Lease Condensate New Reservoir Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  17. Miscellaneous States Shale Gas Proved Reserves New Reservoir Discoveries in

    Energy Information Administration (EIA) (indexed site)

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

  18. Mississippi Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

  20. Montana Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  1. Montana Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  2. Montana Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) Montana Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 2 10 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field

  3. Montana Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

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

  4. Montana Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

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

  5. Nebraska Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  6. Nebraska Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  7. New Mexico Coalbed Methane Proved Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

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

  8. Alabama Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  9. Arkansas Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  10. Arkansas Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  11. Arkansas Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

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

  12. California (with State off) Shale Proved Reserves New Reservoir Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  13. California Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

    Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) California Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 0 15 16 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  14. California Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  15. California Federal Offshore Dry Natural Gas New Reservoir Discoveries in

    Energy Information Administration (EIA) (indexed site)

    Old Fields (Billion Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) California Federal Offshore Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 0 0 1980's 0 0 0 64 0 1990's 9 0 0 0 4 0 0 0 6 0 2000's 0 0 0 0 0 0 1 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  16. California Federal Offshore Dry Natural Gas Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) California Federal Offshore Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 28 0 73 1980's 15 0 0 0 0 1990's 2 3 0 0 0 0 0 1 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  17. Colorado Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  18. Colorado Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

  20. Wyoming Coalbed Methane Proved Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

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

  1. Wyoming Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

    Fields (Billion Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Wyoming Coalbed Methane Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 87 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages:

  2. Wyoming Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

  4. North Dakota Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) New Field Discoveries (Million Barrels) North Dakota Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 12 2010's 29 14 9 4 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate New Field

  5. Oklahoma Coalbed Methane Proved Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

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

  6. Oklahoma Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  7. Oklahoma Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

    Fields (Million Barrels) New Reservoir Discoveries in Old Fields (Million Barrels) Oklahoma Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 3 3 29 61 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  8. Oklahoma Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  9. Oklahoma Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) Oklahoma Shale Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 162 2010's 0 0 0 424 271 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New

  10. Pennsylvania Coalbed Methane Proved Reserves New Reservoir Discoveries in

    Energy Information Administration (EIA) (indexed site)

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

  11. Pennsylvania Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  12. Pennsylvania Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) Pennsylvania Shale Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 871 319 0 78 6 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas

  13. The Discovery of the Higgs Boson: America's Role

    ScienceCinema

    None

    2016-07-12

    The discovery of the Higgs boson was an international endeavor, involving thousands of physicists from across the world. While the accelerator at which the experimental work was done is located on Europe, the US supplied more physicists than any other single country. America had a very large role in the discovery of the Higgs particle and continues to have a leading role in the ongoing studies of the boson's properties. This video describes some of the contributions of U.S. universities and laboratories.

  14. Texas (with State Offshore) Shale Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Texas (with State Offshore) Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 353 2010's 396 31 40 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field

  15. Texas (with State Offshore) Shale Proved Reserves New Reservoir Discoveries

    Energy Information Administration (EIA) (indexed site)

    in Old Fields (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) Texas (with State Offshore) Shale Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 65 2010's 36 93 114 371 122 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  16. Texas State Offshore Crude Oil + Lease Condensate New Reservoir Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  17. Texas State Offshore Dry Natural Gas Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) Texas State Offshore Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 72 29 0 5 40 85 1990's 36 20 0 0 0 9 0 11 0 0 2000's 0 72 13 67 10 0 17 0 5 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  18. Utah Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

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

  19. Utah Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  20. Virginia Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  1. West Virginia Coalbed Methane Proved Reserves New Reservoir Discoveries in

    Energy Information Administration (EIA) (indexed site)

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

  2. West Virginia Crude Oil + Lease Condensate Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

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

  3. Colorado Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

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

  4. Florida Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  5. Illinois Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  6. Indiana Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  7. Kansas Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  8. Kentucky Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  9. Kentucky Crude Oil + Lease Condensate New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

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

  10. Kentucky Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

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

  11. Louisiana (with State Offshore) Shale Proved Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) Louisiana (with State Offshore) Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 244 2010's 48 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas New Field

  12. Louisiana - North Crude Oil + Lease Condensate New Reservoir Discoveries in

    Energy Information Administration (EIA) (indexed site)

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

  13. Wyoming Shale Proved Reserves New Reservoir Discoveries in Old Fields

    Energy Information Administration (EIA) (indexed site)

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

  14. Demand Response Valuation Frameworks Paper

    SciTech Connect

    Heffner, Grayson

    2009-02-01

    While there is general agreement that demand response (DR) is a valued component in a utility resource plan, there is a lack of consensus regarding how to value DR. Establishing the value of DR is a prerequisite to determining how much and what types of DR should be implemented, to which customers DR should be targeted, and a key determinant that drives the development of economically viable DR consumer technology. Most approaches for quantifying the value of DR focus on changes in utility system revenue requirements based on resource plans with and without DR. This ''utility centric'' approach does not assign any value to DR impacts that lower energy and capacity prices, improve reliability, lower system and network operating costs, produce better air quality, and provide improved customer choice and control. Proper valuation of these benefits requires a different basis for monetization. The review concludes that no single methodology today adequately captures the wide range of benefits and value potentially attributed to DR. To provide a more comprehensive valuation approach, current methods such as the Standard Practice Method (SPM) will most likely have to be supplemented with one or more alternative benefit-valuation approaches. This report provides an updated perspective on the DR valuation framework. It includes an introduction and four chapters that address the key elements of demand response valuation, a comprehensive literature review, and specific research recommendations.

  15. BETO Announces Launch of the Bioenergy KDF Legislative Library

    Energy.gov [DOE]

    The Bioenergy Technologies Office is pleased to announce the release of a new Bioenergy Knowledge Discovery Framework (Bioenergy KDF) resource: the Legislative Library.

  16. Hydrogen Knowledge and Opinions Assessment

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

    2008-2009 DOE Hydrogen Program: Hydrogen Knowledge and Opinions Assessment Rick Schmoyer Oak Ridge National Laboratory May 21, 2009 Project ID # edp_02_schmoyer This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Managed by UT-Battelle for the Department of Energy Overview * Start: April 2003 * End: 2012 (currently in "Phase II") * Percent complete: ~75% B. Mixed Messages E. Regional Differences F. Difficulty of Measuring Success *

  17. Discovery of palladium, antimony, tellurium, iodine, and xenon isotopes

    SciTech Connect

    Kathawa, J.; Fry, C.; Thoennessen, M., E-mail: thoennessen@nscl.msu.edu

    2013-01-15

    Currently, thirty-eight palladium, thirty-eight antimony, thirty-nine tellurium, thirty-eight iodine, and forty xenon isotopes have been observed and the discovery of these isotopes is described here. For each isotope a brief synopsis of the first refereed publication, including the production and identification method, is presented.

  18. Historical Review of Californium-252 Discovery and Development

    DOE R&D Accomplishments

    Stoddard, D. H.

    1985-01-01

    This paper discusses the discovery and history of californium 252. This isotope may be synthesized by irradiating plutonium 239, plutonium 242, americium 243, or curium 244 with neutrons in a nuclear reactor. Various experiments and inventions involving Cf conducted at the Savannah River Plant are discussed. The evolution of radiotherapy using californium 252 is reviewed. (PLG)

  19. The OME Framework for genome-scale systems biology

    SciTech Connect

    Palsson, Bernhard O.; Ebrahim, Ali; Federowicz, Steve

    2014-12-19

    The life sciences are undergoing continuous and accelerating integration with computational and engineering sciences. The biology that many in the field have been trained on may be hardly recognizable in ten to twenty years. One of the major drivers for this transformation is the blistering pace of advancements in DNA sequencing and synthesis. These advances have resulted in unprecedented amounts of new data, information, and knowledge. Many software tools have been developed to deal with aspects of this transformation and each is sorely needed [1-3]. However, few of these tools have been forced to deal with the full complexity of genome-scale models along with high throughput genome- scale data. This particular situation represents a unique challenge, as it is simultaneously necessary to deal with the vast breadth of genome-scale models and the dizzying depth of high-throughput datasets. It has been observed time and again that as the pace of data generation continues to accelerate, the pace of analysis significantly lags behind [4]. It is also evident that, given the plethora of databases and software efforts [5-12], it is still a significant challenge to work with genome-scale metabolic models, let alone next-generation whole cell models [13-15]. We work at the forefront of model creation and systems scale data generation [16-18]. The OME Framework was borne out of a practical need to enable genome-scale modeling and data analysis under a unified framework to drive the next generation of genome-scale biological models. Here we present the OME Framework. It exists as a set of Python classes. However, we want to emphasize the importance of the underlying design as an addition to the discussions on specifications of a digital cell. A great deal of work and valuable progress has been made by a number of communities [13, 19-24] towards interchange formats and implementations designed to achieve similar goals. While many software tools exist for handling genome

  20. Interpretational framework for forensic analyses of illicit nuclear materials

    SciTech Connect

    Niemeyer, S.; Kammeraad, J.

    1996-10-01

    jThe interdiction of illicit special nuclear materials (SNM) causes many attribution questions to be asked, e.g. where was this material produced, where was legitimate control lost, how was it transported, etc. We have developed a general framework for evaluating forensic measurements that will be useful in answering attribution questions, and will present an initial prioritization of these measurements. Interpretation of the measurements requires the integration of inputs from a diverse set of experts who have knowledge of environmental signatures, radiochemical signatures, weapons production complex, production pathways for SNM, criminal forensics, law enforcement, and intelligence. Comparison databases and international cooperation are crucial for future application of forensic measurements to the nuclear smuggling problem.

  1. U.S. Shale Proved Reserves New Reservoir Discoveries in Old Fields...

    Energy Information Administration (EIA) (indexed site)

    Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Shale Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ...

  2. U.S. Dry Natural Gas New Reservoir Discoveries in Old Fields...

    Energy Information Administration (EIA) (indexed site)

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

  3. U.S. Crude Oil + Lease Condensate New Reservoir Discoveries in...

    Energy Information Administration (EIA) (indexed site)

    New Reservoir Discoveries in Old Fields (Million Barrels) U.S. Crude Oil + Lease Condensate New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 ...

  4. Discovery of a meta-stable Al-Sm phase with unknown stoichiometry...

    Office of Scientific and Technical Information (OSTI)

    Discovery of a meta-stable Al-Sm phase with unknown stoichiometry using a genetic algorithm Citation Details In-Document Search Title: Discovery of a meta-stable Al-Sm phase with...

  5. Discovery of a new ATP-binding motif involved in peptidic azoline...

    Office of Scientific and Technical Information (OSTI)

    Discovery of a new ATP-binding motif involved in peptidic azoline biosynthesis Citation Details In-Document Search Title: Discovery of a new ATP-binding motif involved in peptidic ...

  6. Discovery of GeV Emission tfrom the Circinus Galaxy with the...

    Office of Scientific and Technical Information (OSTI)

    Discovery of GeV Emission tfrom the Circinus Galaxy with the Fermi-Lat Citation Details In-Document Search Title: Discovery of GeV Emission tfrom the Circinus Galaxy with the...

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

    Annual Energy Outlook

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

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

    Gasoline and Diesel Fuel Update

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

  9. Discovery of Dark Energy Ushered in a New Era in Computational...

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

    Discovery of Dark Energy Ushered in a New Era in Computational Cosmology Discovery of Dark Energy Ushered in a New Era in Computational Cosmology October 4, 2011 John Hules, ...

  10. A modeling framework for investment planning in interdependent infrastructures in multi-hazard environments.

    SciTech Connect

    Brown, Nathanael J. K.; Gearhart, Jared Lee; Jones, Dean A.; Nozick, Linda Karen; Prince, Michael

    2013-09-01

    Currently, much of protection planning is conducted separately for each infrastructure and hazard. Limited funding requires a balance of expenditures between terrorism and natural hazards based on potential impacts. This report documents the results of a Laboratory Directed Research&Development (LDRD) project that created a modeling framework for investment planning in interdependent infrastructures focused on multiple hazards, including terrorism. To develop this framework, three modeling elements were integrated: natural hazards, terrorism, and interdependent infrastructures. For natural hazards, a methodology was created for specifying events consistent with regional hazards. For terrorism, we modeled the terrorist's actions based on assumptions regarding their knowledge, goals, and target identification strategy. For infrastructures, we focused on predicting post-event performance due to specific terrorist attacks and natural hazard events, tempered by appropriate infrastructure investments. We demonstrate the utility of this framework with various examples, including protection of electric power, roadway, and hospital networks.

  11. Impact Evaluation Framework for Technology Deployment Programs 2007 |

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

    Department of Energy Framework for Technology Deployment Programs 2007 Impact Evaluation Framework for Technology Deployment Programs 2007 Impact Evaluation Framework for Technology Deployment Programs: An approach for quantifying retrospective energy savings, clean energy advances, and market effects. Impact Evaluation Framework for Technology Deployment Programs (4.06 MB) More Documents & Publications Impact Evaluation Framework for Technology Deployment Programs: An Overview and

  12. Goals Framework — 2016 BTO Peer Review

    Energy.gov [DOE]

    This presentation at the 2016 Peer Review provided an overview of the Building Technologies Office’s Goals Framework. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs.

  13. Enterprise Risk Management (ERM) Framework for Directives

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

    2012-09-30

    Explains the new ERM framework for developing, revising, and reviewing directives. This memo directs the Office of Management to institutionalize ERM into the directives process no later than September 30, 2012.

  14. Hanford Site Cleanup Completion Framework - Hanford Site

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

    Documents Hanford Site Cleanup Completion Framework Documents Documents Hanford Site Cleanup Completion Framework Tri-Party Agreement Freedom of Information and Privacy Act Hanford Site Budget Hanford Site Safety Standards DOE - ORP Contracts/Procurements DOE - RL Contracts/Procurements Integrated Waste Feed Delivery Plan Single-Shell Tank Evaluations Deep Vadose Zone 100-F RI/FS 100-D/H Operable Units RI/FS Sitewide Probabilistic Seismic Hazard Analysis Environmental Hanford Site Cleanup

  15. Secure Policy-Based Configuration Framework (PBCONF)

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

    Policy-Based Configuration Framework (PBCONF) Interoperable, open-source framework for secure remote configuration of modern and legacy devices Background Energy delivery devices are dispersed throughout the electric grid and are an integral part of real-time power transmission and distribution. As today's cyber threats continue to advance, ensuring the security and resiliency of these digital devices is critical to ensuring the continuous delivery of power to consumers. Incorrect or

  16. Pennsylvania Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Pennsylvania Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1 5 60 1980's 8 48 13 3 0 0 6 0 0 0 1990's 6 0 0 0 0 0 0 0 1 0 2000's 0 33 0 21 0 0 13 7 61 128 2010's 50 165 414 36 7 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  17. Mississippi Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Mississippi Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 98 53 17 1980's 359 45 15 9 17 10 0 1 20 25 1990's 21 12 5 10 4 14 0 0 0 0 2000's 1 0 1 0 0 0 0 0 2 2 2010's 0 1 1 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  18. Miscellaneous States Dry Natural Gas New Reservoir Discoveries in Old

    Energy Information Administration (EIA) (indexed site)

    Fields (Billion Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Miscellaneous States Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 0 0 1980's 1 2 7 0 7 7 0 13 5 10 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 2 0 0 0 8 0 0 2010's 0 0 2 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  19. Miscellaneous States Dry Natural Gas Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) Miscellaneous States Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 4 4 1980's 6 21 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 4 13 0 38 8 0 2010's 0 0 0 0 16 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  20. Arkansas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Arkansas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4 1 3 1980's 5 17 7 4 2 13 0 0 0 0 1990's 3 0 1 0 1 0 2 0 0 1 2000's 0 0 24 0 4 4 7 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  1. California Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) California Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 31 25 12 1980's 4 2 1 10 13 1990's 2 1 22 14 0 0 0 0 0 0 2000's 7 0 0 5 0 0 0 0 0 1 2010's 1 0 4 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  2. Colorado Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Colorado Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 31 9 22 1980's 15 16 20 12 12 22 0 7 2 8 1990's 2 2 5 2 3 80 0 2 0 123 2000's 0 4 1 1 171 32 14 15 17 8 2010's 22 18 9 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  3. California State Offshore Dry Natural Gas Reserves New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 0 0 1980's 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: New Field Discoveries of Dry

  4. Kentucky Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) New Field Discoveries (Billion Cubic Feet) Kentucky Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3 0 1 1980's 2 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 1 0 0 0 2000's 5 0 0 0 0 17 0 0 0 0 2010's 0 1 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  5. Louisiana - North Dry Natural Gas Reserves New Field Discoveries (Billion

    Energy Information Administration (EIA) (indexed site)

    Cubic Feet) New Field Discoveries (Billion Cubic Feet) Louisiana - North Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 54 35 22 1980's 39 59 10 8 1 5 1 1 0 0 1990's 3 0 0 0 0 32 4 0 0 0 2000's 6 1 9 5 5 0 0 0 157 253 2010's 47 0 0 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  6. Status report on SHARP coupling framework.

    SciTech Connect

    Caceres, A.; Tautges, T. J.; Lottes, J.; Fischer, P.; Rabiti, C.; Smith, M. A.; Siegel, A.; Yang, W. S.; Palmiotti, G.

    2008-05-30

    This report presents the software engineering effort under way at ANL towards a comprehensive integrated computational framework (SHARP) for high fidelity simulations of sodium cooled fast reactors. The primary objective of this framework is to provide accurate and flexible analysis tools to nuclear reactor designers by simulating multiphysics phenomena happening in complex reactor geometries. Ideally, the coupling among different physics modules (such as neutronics, thermal-hydraulics, and structural mechanics) needs to be tight to preserve the accuracy achieved in each module. However, fast reactor cores in steady state mode represent a special case where weak coupling between neutronics and thermal-hydraulics is usually adequate. Our framework design allows for both options. Another requirement for SHARP framework has been to implement various coupling algorithms that are parallel and scalable to large scale since nuclear reactor core simulations are among the most memory and computationally intensive, requiring the use of leadership-class petascale platforms. This report details our progress toward achieving these goals. Specifically, we demonstrate coupling independently developed parallel codes in a manner that does not compromise performance or portability, while minimizing the impact on individual developers. This year, our focus has been on developing a lightweight and loosely coupled framework targeted at UNIC (our neutronics code) and Nek (our thermal hydraulics code). However, the framework design is not limited to just using these two codes.

  7. Stories of Discovery & Innovation: A Step Toward Artificial Photosynthesis

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

    | U.S. DOE Office of Science (SC) A Step Toward Artificial Photosynthesis Energy Frontier Research Centers (EFRCs) EFRCs Home Centers Research Science Highlights News & Events EFRC News EFRC Events DOE Announcements Publications History Contact BES Home 01.06.12 Stories of Discovery & Innovation: A Step Toward Artificial Photosynthesis Print Text Size: A A A Subscribe FeedbackShare Page EFRC researchers construct an artificial version of a bacterium's light-absorbing

  8. Stories of Discovery & Innovation: Mimicking Nature Backwards and Forwards|

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

    U.S. DOE Office of Science (SC) Mimicking Nature Backwards and Forwards Energy Frontier Research Centers (EFRCs) EFRCs Home Centers Research Science Highlights News & Events EFRC News EFRC Events DOE Announcements Publications History Contact BES Home 04.26.12 Stories of Discovery & Innovation: Mimicking Nature Backwards and Forwards Print Text Size: A A A Subscribe FeedbackShare Page Using biology as their blueprint, EFRC researchers devise a reversible reaction for hydrogen energy

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

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

    Battery | U.S. DOE Office of Science (SC) Scientists Create World's Smallest Battery Energy Frontier Research Centers (EFRCs) EFRCs Home Centers Research Science Highlights News & Events EFRC News EFRC Events DOE Announcements Publications History Contact BES Home 05.16.11 Stories of Discovery & Innovation: Scientists Create World's Smallest Battery Print Text Size: A A A Subscribe FeedbackShare Page Effort yields insights that could improve battery performance. This work, featured

  10. Discovery of Next Generation RAF Inhibitors that Dissociate Paradoxical

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

    Activation from Inhibition of the MAPK Pathway | Stanford Synchrotron Radiation Lightsource Discovery of Next Generation RAF Inhibitors that Dissociate Paradoxical Activation from Inhibition of the MAPK Pathway Monday, February 29, 2016 Genes encoding members of the mitogen-activated protein kinase (MAPK)/extracellular signal-regulated kinase (ERK) pathway are frequently mutated in human cancer. RAS (a small GTPase) and RAF (a serine/Threonine kinase) are two major nodes on this important

  11. Discovery of the Fundamental Mechanism of Action of Resveratrol | Stanford

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

    Synchrotron Radiation Lightsource Discovery of the Fundamental Mechanism of Action of Resveratrol Thursday, May 28, 2015 Resveratrol is reported to extend lifespan and provide cardio-neuro-protective, anti-diabetic, and anti-cancer effects by initiating a protective stress response. Resveratrol is produced in grapes, cacao beans (dark chocolates), peanuts (peanut butter), Japanese knotweed, blueberries and some other plants, in response to environmental stress conditions including infection,

  12. Accelerating Electrolyte Discovery for Energy Storage with High Throughput

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

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

  13. DOE Isotope Program Provides Target Material for the Discovery of

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

    Superheavy Elements | U.S. DOE Office of Science (SC) DOE Isotope Program Provides Target Material for the Discovery of Superheavy Elements Nuclear Physics (NP) NP Home About Research Facilities Science Highlights Benefits of NP Funding Opportunities Nuclear Science Advisory Committee (NSAC) Community Resources Contact Information Nuclear Physics U.S. Department of Energy SC-26/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3613 F: (301) 903-3833 E: Email Us

  14. Frontiers for Discovery in High Energy Density Physics

    SciTech Connect

    Davidson, R. C.; Katsouleas, T.; Arons, J.; Baring, M.; Deeney, C.; Di Mauro, L.; Ditmire, T.; Falcone, R.; Hammer, D.; Hill, W.; Jacak, B.; Joshi, C.; Lamb, F.; Lee, R.; Logan, B. G.; Melissinos, A.; Meyerhofer, D.; Mori, W.; Murnane, M.; Remington, B.; Rosner, R.; Schneider, D.; Silvera, I.; Stone, J.; Wilde, B.; Zajc. W.

    2004-07-20

    The report is intended to identify the compelling research opportunities of high intellectual value in high energy density physics. The opportunities for discovery include the broad scope of this highly interdisciplinary field that spans a wide range of physics areas including plasma physics, laser and particle beam physics, nuclear physics, astrophysics, atomic and molecular physics, materials science and condensed matter physics, intense radiation-matter interaction physics, fluid dynamics, and magnetohydrodynamics

  15. 10.03.16 RH New Material Discovery - JCAP

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

    Researchers successfully use combinatorial science to accelerate materials development for solar flues applications JCAP's high-throughput experimentation team together with scientists from Stanford Synchrontron Radiation Lab develop a strategy to enable structure-property mapping ofpromising light absorbers. Reprinted with permission fromSuram, S. K., Newhouse, P. F. and Gregoire, J. M. High Throughput Light Absorber Discovery, Part 1: An Algorithm for Automated Tauc Analysis. ACS Combinatorial

  16. Kids at Camp Discovery Bond Over Building Electric Vehicle

    Office of Energy Efficiency and Renewable Energy (EERE)

    Each year, about 150 kids gather during the summer at Camp Discovery in Kerrville, Texas, to learn new things and have fun. But this isn't an ordinary summer camp — the attendees, ages seven to 16, all have been diagnosed with cancer. During the course of a week, campers get a great learning experience, but they also have the opportunity to talk about their experiences.

  17. NREL Discovery Creates Future Opportunity in Quantum Computing - News

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

    Releases | NREL Discovery Creates Future Opportunity in Quantum Computing Research into perovskites looks beyond material's usage for efficient solar cells August 31, 2016 Two men stand behind a spectrometer at an NREL lab. NREL scientists Ye Yang and Matt Beard stand in front of a transient absorption spectrometer in their laser lab. Scientists at the Energy Department's National Renewable Energy Laboratory (NREL) discovered a use for perovskites that runs counter to the intended usage of

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

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

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

  19. Center for Inverse Design: Modality 3 - Discovery of Missing Materials

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

    3: Discovery of Missing Materials Modality 3 applies to yet discovered, currently undocumented materials. This approach is designed for a different class of problems: when the materials we would like to consider are simply undocumented standard compilations, i.e., they have not yet been made. Like the other two modalities, this one also involves a search space. But unlike Modalities 1 and 2, the steps involved in Modality 3 are: Calculate the stable crystal structure of a given hypothetical

  20. Tuning the Topology and Functionality of Metal-Organic Frameworks...

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

    Tuning the Topology and Functionality of Metal-Organic Frameworks by Ligand Design Previous ... size and effectively introduce unsaturated metal centers (UMCs) into the framework. ...

  1. Luminescent metal-organic frameworks (MOFs); a nanolaboratory...

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

    Luminescent metal-organic frameworks (MOFs); a nanolaboratory for photophysics February 7, ... among the components of the framework at several length scales and structural ...

  2. Understanding Small-Molecule Interactions in Metal-Organic Frameworks...

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

    Understanding Small-Molecule Interactions in Metal-Organic Frameworks: Coupling Experiment ... guest molecules and the internal surface of the framework must first be understood. ...

  3. Noble Gas Adsorption in Metal-Organic Frameworks Containing Open...

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

    Noble Gas Adsorption in Metal-Organic Frameworks Containing Open Metal Sites Previous Next ... accessibility in this topology enhance the framework interaction with the noble gases. ...

  4. Increasing the Stability of Metal-Organic Frameworks | Center...

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

    Increasing the Stability of Metal-Organic Frameworks Previous Next List Mathieu Bosch, Muwei ... However, the robustness and reactivity of a given framework are largely dependent on ...

  5. Tuning the Formations of Metal-Organic Frameworks by Modification...

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

    Tuning the Formations of Metal-Organic Frameworks by Modification of Ratio of Reactant, ... (3D) framework structure with one-dimensional (1D) honeycomb channels. ...

  6. Developing a Regulatory Framework for Extended Storage and Transportat...

    Office of Environmental Management (EM)

    Developing a Regulatory Framework for Extended Storage and Transportation Outline: Current Regulatory Framework Future Regulatory Needs Technical Basis (with some examples) Path ...

  7. A Modern Computational Framework for the Nonlinear Seismic Analysis...

    Office of Environmental Management (EM)

    A Modern Computational Framework for the Nonlinear Seismic Analysis of Nuclear Facilities and Systems A Modern Computational Framework for the Nonlinear Seismic Analysis of Nuclear ...

  8. Site Transition Framework for Long-Term Surveillance and Maintenance...

    Energy.gov [DOE] (indexed site)

    for Long-Term Surveillance and Maintenance Site Transition Framework for Long-Term Surveillance and Maintenance (943.69 KB) More Documents & Publications Site Transition Framework ...

  9. An Investment Framework for Clean Energy and Development | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Investment Framework for Clean Energy and Development Jump to: navigation, search Tool Summary LAUNCH TOOL Name: An Investment Framework for Clean Energy and Development Agency...

  10. Microsoft Word - Data Classification Security Framework V5.doc

    Energy.gov [DOE] (indexed site)

    2007 Security Framework for Control System Data Classification and Protection Bryan T. ... Security Framework for Control System Data Classification and Protection 2 Issued by ...

  11. EV Everywhere Consumer/Charging Workshop: Target-Setting Framework...

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

    ConsumerCharging Workshop: Target-Setting Framework and Consumer Behavior EV Everywhere ConsumerCharging Workshop: Target-Setting Framework and Consumer Behavior Presentation ...

  12. Ghana-Support for Future National Climate Change Policy Framework...

    OpenEI (Open Energy Information) [EERE & EIA]

    Support for Future National Climate Change Policy Framework (Redirected from CDKN-Ghana-Support for Future National Climate Change Policy Framework) Jump to: navigation, search...

  13. Tunable Electrical Conductivity in Metal-Organic Framework Thin...

    Office of Scientific and Technical Information (OSTI)

    Tunable Electrical Conductivity in Metal-Organic Framework Thin-Film Devices Citation Details In-Document Search Title: Tunable Electrical Conductivity in Metal-Organic Framework...

  14. Metal-organic frameworks with exceptionally large pore aperatures

    DOEpatents

    Yaghi, Omar M.; Furukawa, Hiroyasu; Deng, Hexiang

    2015-07-14

    The disclosure relates to metal organic frameworks or isoreticular metal organic frameworks, methods of production thereof, and methods of use thereof.

  15. EV Everywhere Battery Workshop: Preliminary Target-Setting Framework...

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

    Preliminary Target-Setting Framework EV Everywhere Battery Workshop: Preliminary Target-Setting Framework Presentation given at the EV Everywhere Grand Challenge: Battery Workshop ...

  16. International Framework for Nuclear Energy Cooperation to Hold...

    Energy Saver

    Framework for Nuclear Energy Cooperation to Hold Ministerial-Level Meeting Sept. 29 in Warsaw, Poland International Framework for Nuclear Energy Cooperation to Hold ...

  17. A modern solver framework to manage solution algorithms in the...

    Office of Scientific and Technical Information (OSTI)

    A modern solver framework to manage solution algorithms in the Community Earth System Model Citation Details In-Document Search Title: A modern solver framework to manage solution ...

  18. Tool Kit Framework: Small Town Energy Program (STEP) | Department...

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

    Tool Kit Framework: Small Town Energy Program (STEP) Tool Kit Framework: Small Town Energy ... Outreach Letters to Engage Partner Communities, Letters of Understanding * Letters ...

  19. Sample Business Plan Framework 5 | Department of Energy

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

    5 Sample Business Plan Framework 5 U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 5: A program that establishes itself as a ...

  20. Enterprise Risk Management Framework - DOE Directives, Delegations, and

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

    Requirements Framework by Website Administrator PDF document icon Enterprise_Risk_Managment_Framework.pdf - PDF document, 359 KB (368207

  1. ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation...

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

    ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation and Analyses of Automotive Engines Title ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation and...

  2. ICF Program Framework | National Nuclear Security Administration | (NNSA)

    National Nuclear Security Administration (NNSA)

    Program Framework 2016 Inertial Confinement Fusion Program Framework, U.S. Department of Energy, National Nuclear Security Administration, May 16, 2016. DOE/NA-0044

  3. Anion separation with metal-organic frameworks

    SciTech Connect

    Custelcean, Radu; Moyer, Bruce A

    2007-01-01

    The application of metal-organic frameworks (MOFs) to anion separations with a special emphasis on anion selectivity is reviewed. The coordination frameworks are classified on the basis of the main interactions to the included anion, from weak and non-specific van der Waals forces to more specific interactions such as coordination to Lewis acid metal centers or hydrogen bonding. The importance of anion solvation phenomena to the observed anion selectivities is highlighted, and strategies for reversing the Hofmeister bias that favors large, less hydrophilic anions, and for obtaining peak selectivities based on shape recognition are delineated. Functionalization of the anion-binding sites in MOFs with strong and directional hydrogen-bonding groups that are complementary to the included anion, combined with organizational rigidity of the coordination framework, appears to be the most promising approach for achieving non-Hofmeister selectivity.

  4. Multichannel framework for singular quantum mechanics

    SciTech Connect

    Camblong, Horacio E.; Epele, Luis N.; Fanchiotti, Huner; Garca Canal, Carlos A.; Ordez, Carlos R.

    2014-01-15

    A multichannel S-matrix framework for singular quantum mechanics (SQM) subsumes the renormalization and self-adjoint extension methods and resolves its boundary-condition ambiguities. In addition to the standard channel accessible to a distant (asymptotic) observer, one supplementary channel opens up at each coordinate singularity, where local outgoing and ingoing singularity waves coexist. The channels are linked by a fully unitary S-matrix, which governs all possible scenarios, including cases with an apparent nonunitary behavior as viewed from asymptotic distances. -- Highlights: A multichannel framework is proposed for singular quantum mechanics and analogues. The framework unifies several established approaches for singular potentials. Singular points are treated as new scattering channels. Nonunitary asymptotic behavior is subsumed in a unitary multichannel S-matrix. Conformal quantum mechanics and the inverse quartic potential are highlighted.

  5. DISCOVERY OF FAST, LARGE-AMPLITUDE OPTICAL VARIABILITY OF V648 Car (=SS73-17)

    SciTech Connect

    Angeloni, R.; Di Mille, F.; Ferreira Lopes, C. E.

    2012-09-01

    We report on the discovery of large-amplitude flickering from V648 Car (= SS73-17), a poorly studied object listed among the very few hard X-ray-emitting symbiotic stars. We performed millimagnitude precision optical photometry with the Swope Telescope at the Las Campanas Observatory, Chile, and found that V648 Car shows large U-band variability over timescales of minutes. To our knowledge, it exhibits some of the largest flickering of a symbiotic star ever reported. Our finding supports the hypothesis that symbiotic white dwarfs producing hard X-rays are predominantly powered by accretion, rather than quasi-steady nuclear burning, and have masses close to the Chandrasekhar limit. No significant periodicity is evident from the flickering light curve. The All Sky Automated Survey long-term V light curve suggests the presence of a tidally distorted giant accreting via Roche lobe overflow, and a binary period of {approx}520 days. On the basis of the outstanding physical properties of V648 Car as hinted at by its fast and long-term optical variability, as well as by its nature as a hard X-ray emitter, we therefore call for simultaneous follow-up observations in different bands, ideally combined with time-resolved optical spectroscopy.

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

    SciTech Connect

    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.

  7. Dark matter: the next great discovery of particle physics?: Ettore...

    Office of Scientific and Technical Information (OSTI)

    body of knowledge, we still don't know what particles compose dark matter or how they interact with the particles of the Standard Model. The answers to these remaining questions...

  8. Fermilab | Science | Particle Physics 101 | How Particle Physics Discovery

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

    Works How Particle Physics Discovery Works Matter at the smallest scale is made of elementary particles, pieces of matter that cannot be divided into anything smaller. As scientists over the past century have looked deeper and deeper into the atom, they have found the smallest things human beings have ever seen. How do they do it? The first step: accelerators The collision of particles at high energy, either with other particles or with a stationary target, allows physicists not only to look

  9. Statistics and Discoveries at the LHC (3/4)

    ScienceCinema

    None

    2011-10-06

    The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

  10. Statistics and Discoveries at the LHC (2/4)

    ScienceCinema

    None

    2016-07-12

    The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

  11. Statistics and Discoveries at the LHC (1/4)

    ScienceCinema

    None

    2011-10-06

    The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

  12. Statistics and Discoveries at the LHC (4/4)

    ScienceCinema

    None

    2011-10-06

    The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

  13. COLLOQUIUM: Laboratory Study of Magnetic Reconnection: Recent Discoveries

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

    on MRX | Princeton Plasma Physics Lab March 27, 2013, 4:15pm to 5:30pm Colloquia MBG Auditorium COLLOQUIUM: Laboratory Study of Magnetic Reconnection: Recent Discoveries on MRX Dr. Masaaki Yamada Princeton University Presentation: File WC27MAR2013_MYamada.pptx Magnetic reconnection is a phenomenon of nature in which magnetic field lines change their topology in plasma and convert magnetic energy to particles by acceleration and heating. It is one of the most fundamental processes at work in

  14. Data structures and apparatuses for representing knowledge

    DOEpatents

    Hohimer, Ryan E; Thomson, Judi R; Harvey, William J; Paulson, Patrick R; Whiting, Mark A; Tratz, Stephen C; Chappell, Alan R; Butner, Robert S

    2014-02-18

    Data structures and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

  15. Ultrastable Polymolybdate-Based Metal-Organic Frameworks as Highly...

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

    Ultrastable Polymolybdate-Based Metal-Organic Frameworks as Highly Active Electrocatalysts for Hydrogen Generation...

  16. Subsurface Knowledge Reference Page | Department of Energy

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

    Subsurface Knowledge Reference Page Subsurface Knowledge Reference Page The below listing provides additional references related to Subsurface & Groundwater Remediation. The references are categorized by documents types (e.g., Strategic Plans, Groundwater Plume Map Booklets, etc.) and under each "document type", there is a list of documents and/or hyperlinks to a reference. The Subsurface Knowledge Reference Page will continue to reflect additional information as it is identified.

  17. The Digital Road to Scientific Knowledge Diffusion

    Office of Scientific and Technical Information (OSTI)

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

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

    SciTech Connect

    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

  19. Flexible Framework for Building Energy Analysis: Preprint

    SciTech Connect

    Hale, E.; Macumber, D.; Weaver, E.; Shekhar, D.

    2012-09-01

    In the building energy research and advanced practitioner communities, building models are perturbed across large parameter spaces to assess energy and cost performance in the face of programmatic and economic constraints. This paper describes the OpenStudio software framework for performing such analyses.

  20. Oxygen reduction reaction: A framework for success

    DOE PAGES [OSTI]

    Allendorf, Mark D.

    2016-05-06

    Oxygen reduction at the cathode of fuel cells typically requires a platinum-based material to catalyse the reaction, but lower-cost, more stable catalysts are sought. Here, an intrinsically conductive metal–organic framework based on cheaper elements is shown to be a durable, structurally well-defined catalyst for this reaction.