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Sample records for knowledge discovery framework

  1. Bioenergy Knowledge Discovery Framework (KDF) Fact Sheet

    SciTech Connect (OSTI)

    2013-07-29

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

  2. Bioenergy Knowledge Discovery Framework Recognized at National Conference |

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

    Department of Energy 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, Texas. It

  3. 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 ...

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

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

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

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

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

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

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

  6. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

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

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

  7. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

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

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

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

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

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

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

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

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

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

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsƆ 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. Bioenergy Knowledge Discovery Framework (KDF)

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

    Oak Ridge National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information Managed by UT-Battelle for the Department of ...

  11. Agent-Based Knowledge Discovery for Modeling and Simulation

    SciTech Connect (OSTI)

    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)

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

    Energy Assistant Secretary Patricia Hoffman test drives the new Nissan Leaf. Nissan will introduce the all-electric Leaf in Hawaii in January 2011. Hawaii is offering incentives for the purchase of the vehicle and for home charging station development. Assistant Secretary Patricia Hoffman test drives the new Nissan Leaf. Nissan will introduce the all-electric Leaf in Hawaii in January 2011. Hawaii is offering incentives for the purchase of the vehicle and for home charging station

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

    Energy Savers [EERE]

    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 (OSTI)

    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 (OSTI)

    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...

    Broader source: All U.S. Department of Energy (DOE) Office 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. Knowledge Discovery, Knowledge Management and Enterprise-Wide Information Technology Tools Final Report

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

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

    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 (OSTI)

    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

    DOE Patents [OSTI]

    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

    SciTech Connect (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; 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.

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

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

    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).moreĀ Ā» 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.Ā«Ā less

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

    SciTech Connect (OSTI)

    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

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

    SciTech Connect (OSTI)

    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.

  8. Discoveries

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

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

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

    SciTech Connect (OSTI)

    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.

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

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

    Yao, Shun; Yoo, Shinjae; Yu, Dantong

    2015-08-28

    Our study focuses on discovering gene regulatory networks from time series gene expression data using the Granger causality (GC) model. However, the number of available time points (T) usually is much smaller than the number of target genes (n) in biological datasets. The widely applied pairwise GC model (PGC) and other regularization strategies can lead to a significant number of false identifications when n>>T. In this study, we proposed a new method, viz., CGC-2SPR (CGC using two-step prior Ridge regularization) to resolve the problem by incorporating prior biological knowledge about a target gene data set. In our simulation experiments, themoreĀ Ā» 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 ā€œ 1+1>2ā€ 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 yeastā€™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.Ā«Ā less

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

    SciTech Connect (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.; 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 ā€œbigā€ genomic data for discovering small molecules. IMG-ABC relies on IMGā€™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-ABCā€™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 IMGā€™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

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

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

    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 ā€œbigā€ genomic data for discovering small molecules. IMG-ABC relies on IMGā€™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 asmoreĀ Ā» 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-ABCā€™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 IMGā€™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

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

    SciTech Connect (OSTI)

    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.

  14. 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 (OSTI)

    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.

  15. Research towards a systematic signature discovery process

    SciTech Connect (OSTI)

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

    2013-06-04

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

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

    DOE Patents [OSTI]

    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.

  17. DISCOVERIES IN

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

    ... aluminum alloy for components such as doors and other body panels. ... page of Nuclear News for her extensive knowledge in nuclear and criticality safety for spent fuel systems. ...

  18. Discovery in Action - Pacific Northwest National Laboratory

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

    Discovery in Action Discovery in Action

  19. Discovery Science

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

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

  20. PIRANHA: A Knowledge Discovery Engine Software

    Energy Science and Technology Software Center (OSTI)

    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 willmoreĀ Ā» 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.Ā«Ā less

  1. RAPTOR: An Enterprise Knowledge Discovery Engine

    Energy Science and Technology Software Center (OSTI)

    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.

  2. Knowledge Discovery from Massive Healthcare Claims Data

    SciTech Connect (OSTI)

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

    2013-01-01

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

  3. Machine learning accelerates the discovery of new materials

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

  4. SEME FRAMEWORK

    Energy Science and Technology Software Center (OSTI)

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

  5. Decades of Discovery

    DOE R&D Accomplishments [OSTI]

    2011-06-01

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

  6. The Greatest Mathematical Discovery?

    SciTech Connect (OSTI)

    Bailey, David H.; Borwein, Jonathan M.

    2010-05-12

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

  7. GTT Framework

    Broader source: 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.

  8. BNL Discovery to Deployment

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

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

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

    SciTech Connect (OSTI)

    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.

  10. Discovery of Charm

    DOE R&D Accomplishments [OSTI]

    Goldhaber, G.

    1984-11-01

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

  11. MVC Framework

    Energy Science and Technology Software Center (OSTI)

    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) tomoreĀ Ā» 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.Ā«Ā less

  12. Decades of Discovery

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

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

  13. Choosing experiments to accelerate collective discovery

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

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

    2015-11-24

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

  14. Choosing experiments to accelerate collective discovery

    SciTech Connect (OSTI)

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

    2015-11-24

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

  15. Raptor: An Enterprise Knowledge Discovery Engine Version 2.0

    Energy Science and Technology Software Center (OSTI)

    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.

  16. 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

  17. Decades of Discovery

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

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

  18. LBNL-41172 Discovery

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

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

  19. 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

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

    Open Energy Info (EERE)

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

  1. System for Information Discovery

    Energy Science and Technology Software Center (OSTI)

    1998-09-25

    SID characterizes natural language based documents so that they may be related and retrieved based on content similarity. This technology processes textual documents, autonoumsly identifies the major topics of the document set, and constructs an interpretable, high dimensional representation of each document. SID also provides the ability to interactively reweight representations based on user need, so users may analyze the dataset from multiple points of view. The particular advantages SID offers are speed, data compression,moreĀ Ā» 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.Ā«Ā less

  2. Electronic Structure Based Discovery of Hybrid Photovoltaic Materials on

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

  3. Automated Knowledge Annotation for Dynamic Collaborative Environments

    SciTech Connect (OSTI)

    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.

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

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

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

  5. Materials Discovery | Materials Science | NREL

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

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

  6. Enterprise Risk Management Framework

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

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

    SciTech Connect (OSTI)

    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.

  8. Fermilab | Science | Particle Physics | Key Discoveries

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

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

  9. Enterprise Risk Management Framework

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

  10. 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, ...

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

    SciTech Connect (OSTI)

    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.

  12. ARM - Traditional Knowledge

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

  13. Materials Discovery across Technological Readiness Levels | Materials

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

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

  14. Standard Agent Framework 1

    Energy Science and Technology Software Center (OSTI)

    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)moreĀ Ā» Resources. The object-centered framework developed and utilized provides the best comprimise between generality and flexibility available in agent development systems today.Ā«Ā less

  15. View discovery in OLAP databases through statistical combinatorial optimization

    SciTech Connect (OSTI)

    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.

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

    Office of Science (SC) Website

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

  17. Discoveries in Energy & Environment

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

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

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

    SciTech Connect (OSTI)

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

    2011-04-01

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

  19. Conductive open frameworks

    DOE Patents [OSTI]

    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.

  20. The Partnership Evaluation Framework

    Broader source: Energy.gov [DOE]

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

  1. Generic Overlay Framework

    Energy Science and Technology Software Center (OSTI)

    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.

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

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

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

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

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

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

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

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

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

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

    Open Energy Info (EERE)

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

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

    Office of Scientific and Technical Information (OSTI)

    The Top Quark, Its Discovery, and Subsequent Research Resources with Additional Information 'Ever since the existence of the bottom (or b) quark was inferred from the discovery of ...

  7. 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 ...

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

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

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

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

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

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

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

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

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

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

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

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

  12. On the belated discovery of fission

    SciTech Connect (OSTI)

    Pearson, J. Michael

    2015-06-15

    A remarkable sequence of missteps, misfortune, and oversights delayed the discovery of nuclear fission until the eve of World War IIā€”and likely altered historyā€™s course.

  13. 2015 Discovery Science Call for Proposal

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

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

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

    SciTech Connect (OSTI)

    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.

  15. Accelerating scientific discovery : 2007 annual report.

    SciTech Connect (OSTI)

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

    2008-11-14

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

  16. Sci-Vis Framework

    Energy Science and Technology Software Center (OSTI)

    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) inmoreĀ Ā» 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 statesĀ«Ā less

  17. GTT Framework | Department of Energy

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

    DOE Grid Tech Team Ā» GTT Framework GTT Framework GTT Framework Strategic Framework 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. Each of these dimensions have a corresponding strategic focus: The informational dimension aims to improve the visibility of grid conditions. The analytical dimension increases our understanding of the implications of

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

    SciTech Connect (OSTI)

    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. The Electrochemical Discovery Laboratory - Joint Center for Energy Storage

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

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

  20. V&V framework

    SciTech Connect (OSTI)

    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.

  1. 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

  2. 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

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

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

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

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

  5. Electrochemical Discovery Laboratory - Joint Center for Energy Storage

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

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

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

    SciTech Connect (OSTI)

    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.

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

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

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

  8. Preparation of functionalized zeolitic frameworks

    DOE Patents [OSTI]

    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.

  9. Preparation of functionalized zeolitic frameworks

    DOE Patents [OSTI]

    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.

  10. Preparation of functionalized zeolitic frameworks

    DOE Patents [OSTI]

    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.

  11. Shell appraising deepwater discovery off Philippines

    SciTech Connect (OSTI)

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

    1993-05-10

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

  12. Robust Systems Test Framework

    Energy Science and Technology Software Center (OSTI)

    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 alsomoreĀ Ā» provides operations for managing the script and result files, and for compiling applications and gathering compilation information such as optimization flags.Ā«Ā less

  13. Spark Distributed Analytic Framework

    Broader source: All U.S. Department of Energy (DOE) Office 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. Efficient Data Management for Knowledge Discovery in Large-Scale Geospatial Imagery Collections

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  16. Unraveling the Higgs Boson Discovery - Rik Yoshida

    SciTech Connect (OSTI)

    Rik Yoshida

    2012-10-02

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

  17. Unraveling the Higgs Boson Discovery - Rik Yoshida

    ScienceCinema (OSTI)

    Rik Yoshida

    2013-06-06

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

  18. Knowledge-based design of complex mechanical systems

    SciTech Connect (OSTI)

    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.

  19. 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...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  3. Preparation of metal-triazolate frameworks

    DOE Patents [OSTI]

    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. Energy Sector Cybersecurity Framework Implementation Guidance

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

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

  5. The Discovery of the Top Quark

    DOE R&D Accomplishments [OSTI]

    Sinervo, P.K.

    1995-12-01

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

  6. Spatial Knowledge Capture Library

    Energy Science and Technology Software Center (OSTI)

    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 expertĀ’s response to sets of changing cues, such as the movements and actions of adversaries on a battlefield, The library includes amoreĀ Ā» 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 agentsĀ’ actions.Ā«Ā less

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

    SciTech Connect (OSTI)

    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. Velo: Knowledge and Tool

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

    Velo: Knowledge and Tool Integration for Collaborative Scientific Projects Carina Lansing, Kerstin Kleese van Dam 1 Scientific Project Life Cycle 2 Conceptual Modeling Simulation Execution Visualization & Analytics Data Input Data Uncertainty Quantification Validation, Diagnostics, & Monitoring Reference Data / Data Mining Challenges to Scientists ! Has someone done something similar before? Is there a good example? ! How do I find the information I need? ! What are the best tools to

  9. Robust automated knowledge capture.

    SciTech Connect (OSTI)

    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.

  10. Langley Deep Field, discovery and interpretation

    SciTech Connect (OSTI)

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

    1984-01-01

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

  11. DISCOVERY OF TWO ADDITIONAL JOVIAN IRREGULARS

    SciTech Connect (OSTI)

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

    2012-07-15

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

  12. DISCOVERY OF AN ULTRAMASSIVE PULSATING WHITE DWARF

    SciTech Connect (OSTI)

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

    2013-07-01

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

  13. Sequentially Executed Model Evaluation Framework

    SciTech Connect (OSTI)

    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

  14. Sample Business Plan Framework 5

    Broader source: 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.

  15. Sample Business Plan Framework 2

    Broader source: 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.

  16. Sample Business Plan Framework 4

    Broader source: 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.

  17. Sample Business Plan Framework 3

    Broader source: 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.

  18. Sample Business Plan Framework 1

    Broader source: 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.

  19. Sequentially Executed Model Evaluation Framework

    Energy Science and Technology Software Center (OSTI)

    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, suchmoreĀ Ā» 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 analyzedĀ«Ā less

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

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

  1. 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

  2. Electrochemical Discovery Laboratory - Joint Center for Energy Storage

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

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

  3. 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

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

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

  5. ,"New Mexico Dry Natural Gas New Reservoir Discoveries in Old...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic...

  6. ,"New Mexico Dry Natural Gas Reserves New Field Discoveries ...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)",1,"Annual",2013...

  7. ADVANCES IN HYDROGEOCHEMICAL INDICATORS FOR THE DISCOVERY OF...

    Office of Scientific and Technical Information (OSTI)

    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 ...

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

    ScienceCinema (OSTI)

    Hoffman, Darleane

    2011-04-28

    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.

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

    Open Energy Info (EERE)

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

  10. 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 ...

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

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

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

    Office of Science (SC) Website

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported by the Photosynthetic Antenna Research Center (PARC), an EFRC led by Robert ...

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

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

    New design strategy New design strategy reduces time and cost of material discovery Iteratively guiding experiments toward finding materials with the desired target properties May ...

  14. ,"Texas Dry Natural Gas Reserves New Field Discoveries (Billion...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)",1,"Annual",2013...

  15. ,"Texas Dry Natural Gas New Reservoir Discoveries in Old Fields...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic...

  16. 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, ...

  17. 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 ...

  18. 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 ...

  19. 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...

  20. 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: ...

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

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

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

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

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

    From Human Genome to Materials "Genome" Energy Frontier Research Centers (EFRCs) EFRCs ... Stories of Discovery & Innovation: From Human Genome to Materials "Genome" Print Text ...

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

    SciTech Connect (OSTI)

    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.

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

    Office of Environmental Management (EM)

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

  5. Introduction to Framework | Open Energy Information

    Open Energy Info (EERE)

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

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

    National Nuclear Security Administration (NNSA)

    Evaluation Inertial Confinement Fusion ICF Program Framework 2016 Inertial Confinement Fusion Program Framework, U.S. Department of Energy, National Nuclear Security ...

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

    Open Energy Info (EERE)

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

  8. 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 ...

  9. Sequentially Executed Model Evaluation Framework

    Energy Science and Technology Software Center (OSTI)

    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 asmoreĀ Ā» 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.Ā«Ā less

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

    DOE R&D Accomplishments [OSTI]

    Nagle, D. E.

    1984-07-01

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

  11. Passport to Knowledge | Open Energy Information

    Open Energy Info (EERE)

    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...

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

    SciTech Connect (OSTI)

    Tsai, Yingssu; McPhillips, Scott E.; Gonzįlez, 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

  13. 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 ...

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

    SciTech Connect (OSTI)

    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.

  15. Nuclear Safety Regulatory Framework | Department of Energy

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

    Nuclear Safety Regulatory Framework Nuclear Safety Regulatory Framework February 2012 Presentation that outlines the rules, policies and orders that comprise the Department of Energy Nuclear Safety Regulatory Framework. Nuclear Safety Regulatory Framework (438.96 KB) More Documents & Publications Summary Pamphlet, Nuclear Safety at the Department of Energy CX-014643: Categorical Exclusion Determination Notice of Violation, UChicago Argonne, LLC - WEA-2009-04

  16. Developing a Regional Recovery Framework

    SciTech Connect (OSTI)

    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.

  17. Knowledge Signatures for Information Integration

    SciTech Connect (OSTI)

    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.

  18. Sandia National Laboratories: Laboratories' Strategic Framework

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

  19. PHENIX: Beyond 15 years of discovery

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

    Morrison, David; Nagle, James L.

    2015-01-12

    The PHENIX experiment at BNLā€™s Relativistic Heavy Ion Collider (RHIC) was designed to uncover properties of the quarkā€“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 physicsmoreĀ Ā» 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.Ā«Ā less

  20. PHENIX: Beyond 15 years of discovery

    SciTech Connect (OSTI)

    Morrison, David; Nagle, James L.

    2015-01-12

    The PHENIX experiment at BNLā€™s Relativistic Heavy Ion Collider (RHIC) was designed to uncover properties of the quarkā€“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.

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

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

  2. An expert system framework for nondestructive waste assay

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  4. Discovery of a 怈210怉-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 ...

  5. 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 ...

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

    SciTech Connect (OSTI)

    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.

  7. Organizing environmental flow frameworks to meet hydropower mitigation needs

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

    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 sciencemoreĀ Ā» 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.Ā«Ā less

  8. Deactivation & Decommissioning Knowledge Management Information...

    Energy Savers [EERE]

    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 ...

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

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

  10. 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...

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

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

  12. 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...

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

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

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

    Office of Science (SC) Website

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported by the Catalysis Center for Energy Innovation (CCEI), an EFRC led by Dion Vlachos at ...

  15. 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. ...

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

    Office of Science (SC) Website

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported by the Solid-State Solar-Thermal Energy Conversion Center (S3TEC), an EFRC led by ...

  17. Role of Modeling and Simulation in Scientific Discovery

    Broader source: Energy.gov [DOE]

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

  18. 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 ...

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

    ScienceCinema (OSTI)

    Roberto, Jim

    2016-01-15

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

  20. Alaska Crude Oil + Lease Condensate New Reservoir Discoveries...

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

    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...

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

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

  2. 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...

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

    Office of Science (SC) Website

    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 ...

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

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

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

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

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

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

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

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

    Flow cytometry aids basic cell biology research and drug discovery Flow cytometry aids basic cell biology research and drug discovery Life Technologies Corporation and LANL have released the AttuneĀ® Acoustic Focusing Cytometer, featuring a reduced footprint, reduced consumables, and an affordable price. April 3, 2012 AttuneĀ® Acoustic Focusing Cytometer The AttuneĀ® Acoustic Focusing Cytometer achieves sample throughput at rates over 10 times faster than other cytometers-up to 1,000 Ī¼L per

  7. 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

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

    Office of Science (SC) Website

    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

  9. 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

  10. National Geothermal Data System: Transforming the Discovery, Access, and

    Office of Scientific and Technical Information (OSTI)

    Analytics of Data for Geothermal Exploration (Conference) | SciTech Connect Conference: National Geothermal Data System: Transforming the Discovery, Access, and Analytics of Data for Geothermal Exploration Citation Details In-Document Search Title: National Geothermal Data System: Transforming the Discovery, Access, and Analytics of Data for Geothermal Exploration Compendium of Papers from the 38th Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California

  11. Carl Anderson and the Discovery of the Positron

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

    Carl Anderson and the Discovery of the Positron Resources with Additional Information * Discovery of the Positron and Muons The Positron Positron Single Track Antiparticle of Electron from California Institute of Technology Courtesy of Lawrence Berkeley National Laboratory, Ā© 2010 The Regents of the University of California, Lawrence Berkeley National Laboratory Carl David Anderson discovered the positron in 1932. Anderson, then a postdoc in the physics department at California Institute of

  12. CERN Announces Discovery of Different Pentaquarks | Jefferson Lab

    Broader source: All U.S. Department of Energy (DOE) Office 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: Ā© CERN / LHCb Collaboration. CERN Announces Discovery of Different Pentaquarks NEWPORT NEWS, VA, July 15, 2015 - CERN, the European

  13. Melvin Schwartz and the Discovery of the Muon Neutrino

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

    Melvin Schwartz and the Discovery of the Muon Neutrino Resources with Additional Information Melvin Schwartz Courtesy Brookhaven National Laboratory Melvin Schwartz was the co-winner of the 1988 Nobel Prize in Physics "for the neutrino beam method and the demonstration of the doublet structure of the leptons through the discovery of the muon neutrino". 'In 1962, Schwartz, with Leon Lederman and Jack Steinberger ... discovered the muon neutrino at the Alternating Gradient Synchrotron

  14. Published New Reservoir Proved Revision Revision New Field Discoveries

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

    Total 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 7,383 -25 268 690 167 195 146 0 0 305 6,805 Lower 48 States 346,611 4,930 55,060 53,654

  15. Published New Reservoir Proved Revision Revision New Field Discoveries

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

    Nonassociated 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 955 -24 89 137 0 34 138 0 0 101 954 Lower 48 States 294,549 3,533 41,975 44,047

  16. Published New Reservoir Proved Revision Revision New Field Discoveries

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

    Associated-dissolved 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 6,428 -1 179 553 167 161 8 0 0 204 5,851 Lower 48 States 52,062 1,397

  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. Cobalt discovery replaces precious metals as industrial catalyst

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

  19. Cobalt discovery replaces precious metals as industrial catalyst

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

  20. Gas adsorption on metal-organic frameworks

    DOE Patents [OSTI]

    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.

  1. Framework Topic Briefing: Direct Feed LAW

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

  2. 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

  3. 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

  4. Energy Sector Cybersecurity Framework Implementation Guidance | Department

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

    of Energy 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, and

  5. 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 ā”‚ Table of Contents TABLE OF CONTENTS 1. Introduction .............................................................................................................................................. 1 2. Preparing for Framework Implementation

  6. BOA: Framework for automated builds

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  9. A Multiscale Bidirectional Coupling Framework

    SciTech Connect (OSTI)

    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.

  10. Towards a framework of nuclear competencies

    SciTech Connect (OSTI)

    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