Results for “Data Management Platform” — Page 15

DOE OSTI2024

SEED Platform for Building Performance Standards Implementation Guide (French Translation)

This guide provides an overview of the Standard Energy Efficiency Data (SEED) Platform. The SEED Platform developed by the U.S. Department of Energy (DOE) to provide a low-cost, user-friendly tool for jurisdictions to launch and manage energy benchmarking and Building Performance Standard (BPS) programs. It has been translated into Spanish. This is the French translation of NREL/FS-5500-90691.

benchmarking↗

DOE OSTI2024

SEED Platform for Building Performance Standards Implementation Guide (Arabic Translation)

This guide provides an overview of the Standard Energy Efficiency Data (SEED) Platform. The SEED Platform developed by the U.S. Department of Energy (DOE) to provide a low-cost, user-friendly tool for jurisdictions to launch and manage energy benchmarking and Building Performance Standard (BPS) programs. It has been translated into Spanish. This is the Arabic translation of NREL/FS-5500-90691.

benchmarking↗

DOE OSTI2024

SEED Platform for Building Performance Standards Implementation Guide (Mandarin Translation)

This guide provides an overview of the Standard Energy Efficiency Data (SEED) Platform. The SEED Platform developed by the U.S. Department of Energy (DOE) to provide a low-cost, user-friendly tool for jurisdictions to launch and manage energy benchmarking and Building Performance Standard (BPS) programs. It has been translated into Spanish. This is the Mandarin translation of NREL/FS-5500-90691.

benchmarking↗

DOE OSTI2016

TH-C-204-00: Medical Physics Workshop: An Update On the Journal’s Improvement Activities and Guidance On Writing and Reviewing Papers

In this presentation, the Editors will outline our vision for the future of Medical Physics and review recent work-in-progress initiatives to implement this vision. Finally, we will close with guidance to authors on how to write a good Medical Physics paper. A major focus will be the transition to a new publisher in 2017 following a more than 40-year association with American Institute of Physics Publishing (AIPP). Vision for Medical Physics and status of current initiatives: Jeff Williamson, Editor-in-Chief The broad vision of Medical Physics is “to continue the Journal’s tradition of publishing the very best science that propels our discipline forward and improves our contribution to patient care.” More concretely, the Journal should be the preeminent forum for exchange of cutting edge medical physics science. We seek to identify the best contributions in (a) high impact clinical physics innovations; (b) clinical translation and validation of basic science innovations; and (c) cutting edge basic science developments with potential for patient care improvements. Among the challenges and opportunities, we face are: electronic-only and open access publishing; competition from new radiological science journals; trends towards more interactive, social-media based scientific communities; and diversification of the medical physics research, authorship, and readership domains, including clinical applications quite foreign to core ABR clinical competencies. Recently implemented and ongoing initiatives include: Revised Table of Contents (TOC) and more contemporary topical submission categories Structured review template in HTML format Comprehensive hierarchical taxonomy for identifying reviewer expertise Formal process for soliciting high quality and impact Review and Vision 20/20 Articles We have recruited four Review Article Co-editors: John Rowlands and Ingrid Reiser (imaging physics) and Joao Seco and Tim Zhu (therapy physics). The Co-Editors will identify timely topics and solicit high profile authors to submit review manuscripts. To submit an article, authors will need to work with an assigned Co-Editor to develop a mutually acceptable outline and abstract. 5) A new and exciting class of articles: Medical Physics Dataset Articles (MPDAs) MPDAs describe scientifically or clinically valuable open-access datasets with high potential for contributing to the research of medical physicists working on related problems. In contrast to Research Articles, MPDAs should not include hypothesis testing; or data analyses supporting generalizable conclusions. The publically accessible dataset must be permanently archived before the MPDA can be published. This initiative is being led by Joe Deasy. Update on new publisher transition: The transition of AAPM scientific publishing operations to a major publishing house is a major opportunity to expand Medical Physics readership and its scholarly impact. The advantages include: (a) common manuscript management and web hosting platforms for Medical Physics and its sister journal, JACMP; (b) greater than 4-fold expansion of subscribing institutions; and (c) resources to mount data-driven, highly targeted marketing campaigns to enhance citation and download rates. A transition update of this epochal development, which has only begun as of this writing (3/31/16), will be given. Improving manuscript quality via structured reviews, enhanced scientific category taxonomy, and outreach: Shiva Das, Therapy Physics Editor Medical Physics is committed to continuous improvement with the ultimate goal of improving the potential impact of accepted manuscripts. In order to do so, Medical Physics must be able to tap into important/emerging areas and be able to select high quality contributions consistently via discerning reviews. Improving the quality of reviews is crucial to selecting high quality manuscripts and also to improving manuscript impact via feedback in the review process. With this in mind, Medical Physics is in the process of: (a) fostering outreach to important areas that are currently underrepresented in Medical Physics; (b) implementing a structured template review form; and (c) implementing a comprehensive scientific category taxonomy to identify reviewers who are best suited to an article. Outreach efforts have begun to various scientific areas. Strategies to increase submissions from these areas will be discussed. As a consequence of this effort, a special issue on particle therapy is under development. A review template was implemented in late 2014 on a limited test basis. Based on reviewer feedback, the template was restructured and shortened to capture essential review elements. The restructured template is due to be released shortly. The new scientific category taxonomy is in the process of being deployed to reviewers and associate editors. Salient aspects of the structured review template and scientific category taxonomy will be discussed in this talk. Writing good scientific papers and responding to critiques: Mitch Goodsitt, Imaging Physics Editor The essential components of the abstract, introduction, methods, discussion and conclusion sections of manuscripts, as well as the desired writing style and style of the figures and tables will be reviewed. Publishable Medical Physics manuscripts must include clear and concise statements of the novelty and clinical and/or scientific importance of the authors’ work. Examples of novelty include: new technical solution to an important clinical problem; new generalizable knowledge; and first demonstration that an existing engineering solution solves a clinical problem. Please note that we encourage authors of recently published conference proceedings (e.g., SPIE, IEEE) papers on novel medical physics related work to submit more substantial versions of that work to our journal. All submissions must include: sufficient background information and rationale; enough detail for others to reproduce the authors’ work; sufficient statistical analysis to refute or validate the authors’ hypotheses; a description of how the present work compares to, is distinct from, and improves upon others’ work; and sections devoted to the limitations of the study and future directions. Writing should be polished. Poor wording, grammar and composition frustrate the review process. Our journal does not have copyeditors for revising manuscripts. When authors receive critiques from the referees and associate editor, the authors should provide a detailed point-by-point response to each comment. The authors’ rebuttal should include the text of the original criticism, the authors’ response, and a pasted copy of the modified text along with the line numbers in the revised article. The new text should be highlighted in a different font color in the revised submission. Following these recommendations will improve submissions and facilitate the review process.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2016

TH-C-204-01: Vision for Medical Physics and Status of Current Initiatives

In this presentation, the Editors will outline our vision for the future of Medical Physics and review recent work-in-progress initiatives to implement this vision. Finally, we will close with guidance to authors on how to write a good Medical Physics paper. A major focus will be the transition to a new publisher in 2017 following a more than 40-year association with American Institute of Physics Publishing (AIPP). Vision for Medical Physics and status of current initiatives: Jeff Williamson, Editor-in-Chief The broad vision of Medical Physics is “to continue the Journal’s tradition of publishing the very best science that propels our discipline forward and improves our contribution to patient care.” More concretely, the Journal should be the preeminent forum for exchange of cutting edge medical physics science. We seek to identify the best contributions in (a) high impact clinical physics innovations; (b) clinical translation and validation of basic science innovations; and (c) cutting edge basic science developments with potential for patient care improvements. Among the challenges and opportunities, we face are: electronic-only and open access publishing; competition from new radiological science journals; trends towards more interactive, social-media based scientific communities; and diversification of the medical physics research, authorship, and readership domains, including clinical applications quite foreign to core ABR clinical competencies. Recently implemented and ongoing initiatives include: Revised Table of Contents (TOC) and more contemporary topical submission categories Structured review template in HTML format Comprehensive hierarchical taxonomy for identifying reviewer expertise Formal process for soliciting high quality and impact Review and Vision 20/20 Articles We have recruited four Review Article Co-editors: John Rowlands and Ingrid Reiser (imaging physics) and Joao Seco and Tim Zhu (therapy physics). The Co-Editors will identify timely topics and solicit high profile authors to submit review manuscripts. To submit an article, authors will need to work with an assigned Co-Editor to develop a mutually acceptable outline and abstract. 5) A new and exciting class of articles: Medical Physics Dataset Articles (MPDAs) MPDAs describe scientifically or clinically valuable open-access datasets with high potential for contributing to the research of medical physicists working on related problems. In contrast to Research Articles, MPDAs should not include hypothesis testing; or data analyses supporting generalizable conclusions. The publically accessible dataset must be permanently archived before the MPDA can be published. This initiative is being led by Joe Deasy. Update on new publisher transition: The transition of AAPM scientific publishing operations to a major publishing house is a major opportunity to expand Medical Physics readership and its scholarly impact. The advantages include: (a) common manuscript management and web hosting platforms for Medical Physics and its sister journal, JACMP; (b) greater than 4-fold expansion of subscribing institutions; and (c) resources to mount data-driven, highly targeted marketing campaigns to enhance citation and download rates. A transition update of this epochal development, which has only begun as of this writing (3/31/16), will be given. Improving manuscript quality via structured reviews, enhanced scientific category taxonomy, and outreach: Shiva Das, Therapy Physics Editor Medical Physics is committed to continuous improvement with the ultimate goal of improving the potential impact of accepted manuscripts. In order to do so, Medical Physics must be able to tap into important/emerging areas and be able to select high quality contributions consistently via discerning reviews. Improving the quality of reviews is crucial to selecting high quality manuscripts and also to improving manuscript impact via feedback in the review process. With this in mind, Medical Physics is in the process of: (a) fostering outreach to important areas that are currently underrepresented in Medical Physics; (b) implementing a structured template review form; and (c) implementing a comprehensive scientific category taxonomy to identify reviewers who are best suited to an article. Outreach efforts have begun to various scientific areas. Strategies to increase submissions from these areas will be discussed. As a consequence of this effort, a special issue on particle therapy is under development. A review template was implemented in late 2014 on a limited test basis. Based on reviewer feedback, the template was restructured and shortened to capture essential review elements. The restructured template is due to be released shortly. The new scientific category taxonomy is in the process of being deployed to reviewers and associate editors. Salient aspects of the structured review template and scientific category taxonomy will be discussed in this talk. Writing good scientific papers and responding to critiques: Mitch Goodsitt, Imaging Physics Editor The essential components of the abstract, introduction, methods, discussion and conclusion sections of manuscripts, as well as the desired writing style and style of the figures and tables will be reviewed. Publishable Medical Physics manuscripts must include clear and concise statements of the novelty and clinical and/or scientific importance of the authors’ work. Examples of novelty include: new technical solution to an important clinical problem; new generalizable knowledge; and first demonstration that an existing engineering solution solves a clinical problem. Please note that we encourage authors of recently published conference proceedings (e.g., SPIE, IEEE) papers on novel medical physics related work to submit more substantial versions of that work to our journal. All submissions must include: sufficient background information and rationale; enough detail for others to reproduce the authors’ work; sufficient statistical analysis to refute or validate the authors’ hypotheses; a description of how the present work compares to, is distinct from, and improves upon others’ work; and sections devoted to the limitations of the study and future directions. Writing should be polished. Poor wording, grammar and composition frustrate the review process. Our journal does not have copyeditors for revising manuscripts. When authors receive critiques from the referees and associate editor, the authors should provide a detailed point-by-point response to each comment. The authors’ rebuttal should include the text of the original criticism, the authors’ response, and a pasted copy of the modified text along with the line numbers in the revised article. The new text should be highlighted in a different font color in the revised submission. Following these recommendations will improve submissions and facilitate the review process.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2016

TH-C-204-02: Improving Manuscript Quality Via Structured Reviews, Enhanced Scientific Category Taxonomy, and Outreach

In this presentation, the Editors will outline our vision for the future of Medical Physics and review recent work-in-progress initiatives to implement this vision. Finally, we will close with guidance to authors on how to write a good Medical Physics paper. A major focus will be the transition to a new publisher in 2017 following a more than 40-year association with American Institute of Physics Publishing (AIPP). Vision for Medical Physics and status of current initiatives: Jeff Williamson, Editor-in-Chief The broad vision of Medical Physics is “to continue the Journal’s tradition of publishing the very best science that propels our discipline forward and improves our contribution to patient care.” More concretely, the Journal should be the preeminent forum for exchange of cutting edge medical physics science. We seek to identify the best contributions in (a) high impact clinical physics innovations; (b) clinical translation and validation of basic science innovations; and (c) cutting edge basic science developments with potential for patient care improvements. Among the challenges and opportunities, we face are: electronic-only and open access publishing; competition from new radiological science journals; trends towards more interactive, social-media based scientific communities; and diversification of the medical physics research, authorship, and readership domains, including clinical applications quite foreign to core ABR clinical competencies. Recently implemented and ongoing initiatives include: Revised Table of Contents (TOC) and more contemporary topical submission categories Structured review template in HTML format Comprehensive hierarchical taxonomy for identifying reviewer expertise Formal process for soliciting high quality and impact Review and Vision 20/20 Articles We have recruited four Review Article Co-editors: John Rowlands and Ingrid Reiser (imaging physics) and Joao Seco and Tim Zhu (therapy physics). The Co-Editors will identify timely topics and solicit high profile authors to submit review manuscripts. To submit an article, authors will need to work with an assigned Co-Editor to develop a mutually acceptable outline and abstract. 5) A new and exciting class of articles: Medical Physics Dataset Articles (MPDAs) MPDAs describe scientifically or clinically valuable open-access datasets with high potential for contributing to the research of medical physicists working on related problems. In contrast to Research Articles, MPDAs should not include hypothesis testing; or data analyses supporting generalizable conclusions. The publically accessible dataset must be permanently archived before the MPDA can be published. This initiative is being led by Joe Deasy. Update on new publisher transition: The transition of AAPM scientific publishing operations to a major publishing house is a major opportunity to expand Medical Physics readership and its scholarly impact. The advantages include: (a) common manuscript management and web hosting platforms for Medical Physics and its sister journal, JACMP; (b) greater than 4-fold expansion of subscribing institutions; and (c) resources to mount data-driven, highly targeted marketing campaigns to enhance citation and download rates. A transition update of this epochal development, which has only begun as of this writing (3/31/16), will be given. Improving manuscript quality via structured reviews, enhanced scientific category taxonomy, and outreach: Shiva Das, Therapy Physics Editor Medical Physics is committed to continuous improvement with the ultimate goal of improving the potential impact of accepted manuscripts. In order to do so, Medical Physics must be able to tap into important/emerging areas and be able to select high quality contributions consistently via discerning reviews. Improving the quality of reviews is crucial to selecting high quality manuscripts and also to improving manuscript impact via feedback in the review process. With this in mind, Medical Physics is in the process of: (a) fostering outreach to important areas that are currently underrepresented in Medical Physics; (b) implementing a structured template review form; and (c) implementing a comprehensive scientific category taxonomy to identify reviewers who are best suited to an article. Outreach efforts have begun to various scientific areas. Strategies to increase submissions from these areas will be discussed. As a consequence of this effort, a special issue on particle therapy is under development. A review template was implemented in late 2014 on a limited test basis. Based on reviewer feedback, the template was restructured and shortened to capture essential review elements. The restructured template is due to be released shortly. The new scientific category taxonomy is in the process of being deployed to reviewers and associate editors. Salient aspects of the structured review template and scientific category taxonomy will be discussed in this talk. Writing good scientific papers and responding to critiques: Mitch Goodsitt, Imaging Physics Editor The essential components of the abstract, introduction, methods, discussion and conclusion sections of manuscripts, as well as the desired writing style and style of the figures and tables will be reviewed. Publishable Medical Physics manuscripts must include clear and concise statements of the novelty and clinical and/or scientific importance of the authors’ work. Examples of novelty include: new technical solution to an important clinical problem; new generalizable knowledge; and first demonstration that an existing engineering solution solves a clinical problem. Please note that we encourage authors of recently published conference proceedings (e.g., SPIE, IEEE) papers on novel medical physics related work to submit more substantial versions of that work to our journal. All submissions must include: sufficient background information and rationale; enough detail for others to reproduce the authors’ work; sufficient statistical analysis to refute or validate the authors’ hypotheses; a description of how the present work compares to, is distinct from, and improves upon others’ work; and sections devoted to the limitations of the study and future directions. Writing should be polished. Poor wording, grammar and composition frustrate the review process. Our journal does not have copyeditors for revising manuscripts. When authors receive critiques from the referees and associate editor, the authors should provide a detailed point-by-point response to each comment. The authors’ rebuttal should include the text of the original criticism, the authors’ response, and a pasted copy of the modified text along with the line numbers in the revised article. The new text should be highlighted in a different font color in the revised submission. Following these recommendations will improve submissions and facilitate the review process.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2016

TH-C-204-03: Writing Good Scientific Papers and Responding to Critiques

In this presentation, the Editors will outline our vision for the future of Medical Physics and review recent work-in-progress initiatives to implement this vision. Finally, we will close with guidance to authors on how to write a good Medical Physics paper. A major focus will be the transition to a new publisher in 2017 following a more than 40-year association with American Institute of Physics Publishing (AIPP). Vision for Medical Physics and status of current initiatives: Jeff Williamson, Editor-in-Chief The broad vision of Medical Physics is “to continue the Journal’s tradition of publishing the very best science that propels our discipline forward and improves our contribution to patient care.” More concretely, the Journal should be the preeminent forum for exchange of cutting edge medical physics science. We seek to identify the best contributions in (a) high impact clinical physics innovations; (b) clinical translation and validation of basic science innovations; and (c) cutting edge basic science developments with potential for patient care improvements. Among the challenges and opportunities, we face are: electronic-only and open access publishing; competition from new radiological science journals; trends towards more interactive, social-media based scientific communities; and diversification of the medical physics research, authorship, and readership domains, including clinical applications quite foreign to core ABR clinical competencies. Recently implemented and ongoing initiatives include: Revised Table of Contents (TOC) and more contemporary topical submission categories Structured review template in HTML format Comprehensive hierarchical taxonomy for identifying reviewer expertise Formal process for soliciting high quality and impact Review and Vision 20/20 Articles We have recruited four Review Article Co-editors: John Rowlands and Ingrid Reiser (imaging physics) and Joao Seco and Tim Zhu (therapy physics). The Co-Editors will identify timely topics and solicit high profile authors to submit review manuscripts. To submit an article, authors will need to work with an assigned Co-Editor to develop a mutually acceptable outline and abstract. 5) A new and exciting class of articles: Medical Physics Dataset Articles (MPDAs) MPDAs describe scientifically or clinically valuable open-access datasets with high potential for contributing to the research of medical physicists working on related problems. In contrast to Research Articles, MPDAs should not include hypothesis testing; or data analyses supporting generalizable conclusions. The publically accessible dataset must be permanently archived before the MPDA can be published. This initiative is being led by Joe Deasy. Update on new publisher transition: The transition of AAPM scientific publishing operations to a major publishing house is a major opportunity to expand Medical Physics readership and its scholarly impact. The advantages include: (a) common manuscript management and web hosting platforms for Medical Physics and its sister journal, JACMP; (b) greater than 4-fold expansion of subscribing institutions; and (c) resources to mount data-driven, highly targeted marketing campaigns to enhance citation and download rates. A transition update of this epochal development, which has only begun as of this writing (3/31/16), will be given. Improving manuscript quality via structured reviews, enhanced scientific category taxonomy, and outreach: Shiva Das, Therapy Physics Editor Medical Physics is committed to continuous improvement with the ultimate goal of improving the potential impact of accepted manuscripts. In order to do so, Medical Physics must be able to tap into important/emerging areas and be able to select high quality contributions consistently via discerning reviews. Improving the quality of reviews is crucial to selecting high quality manuscripts and also to improving manuscript impact via feedback in the review process. With this in mind, Medical Physics is in the process of: (a) fostering outreach to important areas that are currently underrepresented in Medical Physics; (b) implementing a structured template review form; and (c) implementing a comprehensive scientific category taxonomy to identify reviewers who are best suited to an article. Outreach efforts have begun to various scientific areas. Strategies to increase submissions from these areas will be discussed. As a consequence of this effort, a special issue on particle therapy is under development. A review template was implemented in late 2014 on a limited test basis. Based on reviewer feedback, the template was restructured and shortened to capture essential review elements. The restructured template is due to be released shortly. The new scientific category taxonomy is in the process of being deployed to reviewers and associate editors. Salient aspects of the structured review template and scientific category taxonomy will be discussed in this talk. Writing good scientific papers and responding to critiques: Mitch Goodsitt, Imaging Physics Editor The essential components of the abstract, introduction, methods, discussion and conclusion sections of manuscripts, as well as the desired writing style and style of the figures and tables will be reviewed. Publishable Medical Physics manuscripts must include clear and concise statements of the novelty and clinical and/or scientific importance of the authors’ work. Examples of novelty include: new technical solution to an important clinical problem; new generalizable knowledge; and first demonstration that an existing engineering solution solves a clinical problem. Please note that we encourage authors of recently published conference proceedings (e.g., SPIE, IEEE) papers on novel medical physics related work to submit more substantial versions of that work to our journal. All submissions must include: sufficient background information and rationale; enough detail for others to reproduce the authors’ work; sufficient statistical analysis to refute or validate the authors’ hypotheses; a description of how the present work compares to, is distinct from, and improves upon others’ work; and sections devoted to the limitations of the study and future directions. Writing should be polished. Poor wording, grammar and composition frustrate the review process. Our journal does not have copyeditors for revising manuscripts. When authors receive critiques from the referees and associate editor, the authors should provide a detailed point-by-point response to each comment. The authors’ rebuttal should include the text of the original criticism, the authors’ response, and a pasted copy of the modified text along with the line numbers in the revised article. The new text should be highlighted in a different font color in the revised submission. Following these recommendations will improve submissions and facilitate the review process.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2022

Integrated Risk-Informed Condition Based Maintenance Capability and Automated Platform: Technical Report 3

This project is a collaborative research effort between PKMJ Technical Services LLC, Idaho National Laboratory, and Public Service Enterprise Group (PSEG) Nuclear, LLC. The collaboration, led by PKMJ Technical Services LLC, is part of the industry Funding Opportunity Announcement (FOA) award under Advanced Nuclear Technology Development FOA #DE-FOA-0001817. The pilot demonstration focuses on the Circulating Water System (CWS), an important non-safety-related system that impacts the power generation capability of the plant site. Achieving riskinformed condition-based Predictive Maintenance (PdM) on the CWS will result in significant economic benefits, and the developed methodologies can also be applied to other plant systems. This approach supports an industry goal of ensuring that nuclear power generation remains a viable, economically competitive option in the energy market. Operation and Maintenance (O&M) costs include labor-intensive Preventive Maintenance (PM) programs that involve manually performed inspection, calibration, testing, and maintenance of plant assets at periodic frequencies as well as time-based replacement of assets, irrespective of condition. This project offers an alternative by focusing on riskinformed condition-based maintenance to reduce O&M costs while still maintaining plant health and safety. This report summarizes the progress made toward achieving a risk-informed condition-based maintenance approach. The research and development (R&D) activities presented in this report are associated with development of a nuclear digital platform application, integration of fault signature models, and automated work management processes. The fault signatures and Machine Learning (ML) models are key components in predictive analytics and are heavily leveraged to improve the insights received by existing plant process data sources. Availability of the analysis results within a centralized digital platform enhances efficiency by enabling automation of activities otherwise performed manually. Personnel are presented with enhanced information that can be used to evaluate plant status and risks. Utilizing the enhancements to data analytics supports automated responses, (i.e. issuance of work orders) to address developing equipment faults and thus preventing forced, unplanned shutdowns of components or systems. The R&D activities described within this report lay the foundation for developing and demonstrating a digital automated platform to centralize the implementation of condition monitoring and response to equipment faults. The digital automated platform is cloud-based and designed to enable improved efficiency of plant processes. The digital platform includes content related to maintenance optimization, fault signature analysis, and plant records, which can all be used to support efficiencies when located within a centralized digital platform. These efficiencies could be further enhanced when deployed through industry-wide deployment of the technology to improve insights and processes based upon economies of scale.

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗

DOE OSTI2025

32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery

Abstract Large language models (LLMs) are reshaping many aspects of materials science and chemistry research, enabling advances in molecular property prediction, materials design, scientific automation, knowledge extraction, and more. Recent developments demonstrate that the latest class of models are able to integrate structured and unstructured data, assist in hypothesis generation, and streamline research workflows. To explore the frontier of LLM capabilities across the research lifecycle, we review applications of LLMs through 32 total projects developed during the second annual LLM hackathon for applications in materials science and chemistry, a global hybrid event. These projects spanned seven key research areas: (1) molecular and material property prediction, (2) molecular and material design, (3) automation and novel interfaces, (4) scientific communication and education, (5) research data management and automation, (6) hypothesis generation and evaluation, and (7) knowledge extraction and reasoning from the scientific literature. Collectively, these applications illustrate how LLMs serve as versatile predictive models, platforms for rapid prototyping of domain-specific tools, and much more. In particular, improvements in both open source and proprietary LLM performance through the addition of reasoning, additional training data, and new techniques have expanded effectiveness, particularly in low-data environments and interdisciplinary research. As LLMs continue to improve, their integration into scientific workflows presents both new opportunities and new challenges, requiring ongoing exploration, continued refinement, and further research to address reliability, interpretability, and reproducibility.

Computer Science↗

NASA NTRS1991

Enterprise storage report for the 1990's

Data processing has become an increasingly vital function, if not the most vital function, in most businesses today. No longer only a mainframe domain, the data processing enterprise also includes the midrange and workstation platforms, either local or remote. This expanded view of the enterprise has encouraged more and more businesses to take a strategic, long-range view of information management rather than the short-term tactical approaches of the past. Some of the significant aspects of data storage in the enterprise for the 1990's are highlighted.

Moore, Fred↗

DOE OSTI2016

Novus: An Unmanned Aerial System and Virtual Reality Flight Deck for Data Collection and Visualization

Many emerging technologies offer tremendous new capabilities that will, without question, redefine how we interact with, utilize, understand, and optimize the energy systems around us. Drones offer a new ability to remotely capture data in ways that have previously been impractical. However, their flight control systems remain rudimentary and limit the ability of researchers to fully take advantage of these platforms as remote sensing devices. In this project, we constructed a hexarotor drone and outfitted it with advanced (yet inexpensive) sensors as well as a telemetry data management and control package. We then created a virtual reality flight deck that allows a drone operator to define waypoints "on-the-fly" or take manual control over flight operations. The flight deck provides a live on-board video stream display, a 3-dimensional topographic map with the drone’s position in space overlaid onto it, as well as a data visualization framework that keeps critical information immediately available to the operator. These advances provide a new platform for scientific data collection such as thermography of building envelopes or solar arrays. As the drone is in flight and data are being collected, these data are relayed to the virtual reality environment where they can be inspected for integrity and the flight plan altered if necessary to collect higher quality data. Future work will focus on implementing 3-dimensional mapping using both visible and thermal imagery collected from the drone, and streaming those into the virtual reality flight deck in real time.

Source record↗

NASA NTRS2013

NASA Pathways Co-op Tour Johnson Space Center Fall 2013

This report outlines the tasks and objectives completed during a co‐operative education tour with National Aeronautics and Space Association (NASA) at the Johnson Space Center in Houston, Texas. I worked for the Attitude & Pointing group of the Flight Dynamics Division within the Mission Operations Directorate at Johnson Space Center. NASA's primary mission is to support and expand the various ongoing space exploration programs and any research and development activities associated with it. My primary project required me to develop and a SharePoint web application for my group. My secondary objective was to become familiar with the role of my group which was primarily to provide spacecraft attitude and line of sight determination, including Tracking and Data Relay Satellite (TDRS) communications coverage for various NASA, International, and commercial partner spacecraft. My projects required me to become acquainted with different software systems, fundamentals of aerospace engineering, project management, and develop essential interpersonal communication skills. Overall, I accomplished multiple goals which included laying the foundations for an updated SharePoint which will allow for an organized platform to communicate and share data for group members and external partners. I also successfully learned about the operations of the Attitude & Pointing Group and how it contributes to the Missions Operations Directorate and NASA's Space Program as a whole

Masood, Amir↗

DOE OSTI2016

SUMMIT v2.1 Summary Report

Standard Unified Modeling Mapping and Integration Toolkit (SUMMIT) is a software capability developed by Sandia National Laboratories (SNL) under the direction and funding of the Department of Homeland Security (DHS), Science and Technology Directorate (S&T). SUMMIT is a scalable platform technology for linking together “best-in-class” models, data, and simulation tools to enable analysts, emergency planners and incident managers to more effectively, economically, and rapidly prepare, analyze, train, and respond to real or potential incidents. The SUMMIT software architecture was created under the Integrated Modeling, Mapping, and Simulation (IMMS) Project and was motivated by the issuance of Homeland Security Presidential Directive 8 (HSPD-8) which called for continuous improvement of our Nation’s preparedness to respond to catastrophic events. Furthermore, a state-of-the-art training and exercise facility called the National Exercise Simulation Center (NESC) was established within the Federal Emergency Management Agency (FEMA) headquarters.

97 MATHEMATICS AND COMPUTING↗

DOE OSTI2022

Operational Probabilistic Tools for Solar Uncertainty (OPTSUN) (Final Project Report for DOE Solar Forecasting II Project)

Increasing levels of solar PV can challenge system operations and may require novel methods to operate the power system reliably and efficiently. Power system operating plans generally use deterministic forecasts, in which the variable energy resources are represented by the expected value for each interval of the decision horizon. Probabilistic forecasts are relatively new but have the potential to address the shortfalls of deterministic forecasts. However, understanding how best to use such forecasts is still a key gap in industry and was the focus of this project. The project had three workstreams. In a forecasting workstream, improvements were made to baseline probabilistic forecasts using a number of new approaches such as machine learning methods and improved input data. In a design workstream, advanced simulation tools used these forecasts to investigate newly proposed reserve determination methods. Lastly, in a demonstration workstream a scheduling management platform (SMP) was developed to leverage probabilistic forecasts in a modular and customizable manner. In order to study the benefits that could be accrued, the project team collaborated with three utility partners (Duke Energy, Southern Company and Hawaiian Electric) to deliver improved probabilistic forecasts for each region and to model each region in case studies using advanced production cost modeling tools. Different methods to determine operating reserve requirements from probabilistic forecasts were developed, simulated, and tested across each region. The benefits of using these newly proposed methods varied by utility, but, in general, using probabilistic forecasts as well as historical data to set the reserve requirements seems to improve reliability related results, with less risk of reserve or supply shortfalls. The cost implications were not always straightforward; in some cases the new methods could show a reduction in expected operating costs, but often the increase in reserves associated with better risk mitigation using probabilistic forecasts could result in an increase in operating costs in the simulations. The SMP tool was developed to process probabilistic forecasts from their initial receipt through to scheduling decisions. This open-source tool consists of several modules for scenario development, reserve requirements calculation, and visualization. The SMP tool was demonstrated to a wide range of operators and stakeholders at all three utilities and further improved based on their feedback. The tool will be available on www.epri.com/optsun. The proposed probabilistic information-based reserve determination approaches have the potential to be implemented by different regions to ensure an economic and reliable power system operation on power systems integrating increasing levels of variable renewable resources. The innovative yet practical methods developed in this project demonstrated tangible benefits from using probabilistic forecasts beyond just study-based assessments to include three unique balancing areas. The demonstrated benefits across the multiple utility environments, are expected to provide system operators in all regions the confidence required and a platform to adopt the new forecasting and operating methods.

14 SOLAR ENERGY↗

DOE OSTI2022

Enhancing Risk Analysis of Accidental Release Using CFD Modeling and Machine Learning

This project report presents the results from the AU31 project that is entitled “Enhancing Risk Analysis of Accidental Release Using CFD Modeling and Machine Learning” performed between FY2021 and FY2022. The technical objective of this project is to enhance risk analysis of accidental release of radioactive materials and provide novel risk forecasting and capabilities for assessing unplanned hazardous chemical releases for the U.S. Department of Energy (DOE). The approach includes a cross-platform finite element analysis of airborne chemical release, machine learning (ML) for simulation and forecasting, and a big data approach to data management, transformation and analysis capable of handling petabyte-scale unstructured and structured data. The outcome of these findings were assembled and accessible as a final output via an intuitive web hosted geospatial-based user interface for demonstration and general dissemination. These new results also provide a mechanism of combining this knowledge in a risk analysis framework tool. The geospatial analysis and output can utilize 5 years of qualified meteorological data to illustrate projected plume footprints that are generated from computational aspects of this study. Specifically, we show the development of a geospatial risk analysis capabilities to respond to and plan for accidental release of radioactive materials and to provide a risk forecasting tool for assessing hazardous chemical releases for the DOE. The focus of this effort is germane to common practices in risk analysis; and it is highly relevant to the timely and transparent release of information related to materials at risk including hazardous materials and chemical vapors and rapid assessment of the potential impacts on the workforce at active sites across the DOE complex.

42 ENGINEERING↗

DOE OSTI2026

PV Operations Software Transparency: A PVMAC Industry Snapshot

The rapid growth of photovoltaic (PV) deployment has increased reliance on software platforms for monitoring, workflow automation, diagnostics, and performance analytics. As these tools play a central role in asset management and operations and maintenance (O&M), greater transparency in methodologies, data handling, and validation practices benefits the broader PV ecosystem. To better understand current practices and identify opportunities for improved clarity and interoperability, 24 software providers contributed detailed responses through the PV O&M Analytics Collaborative (PVMAC) initiative, the first structured questionnaire of its kind in the industry, covering onboarding, interoperability, data quality, diagnostics, AI/ML, and other operational categories. These providers represent over 1.1 TW of solar assets under management. The analysis shows broad adoption of digital twins, AI/ML, and API integrations, but also highlights challenges in onboarding processes, inconsistent definitions and methodologies, variability in key performance indicator (KPI) calculations, and limited independent validation. Greater standardization, clearer documentation, and stronger validation frameworks could improve transparency, comparability, and trust across PV operations software platforms.

14 SOLAR ENERGY↗

NASA NTRS1981

Solar-terrestrial research for the 1980's

The solar-terrestrial system is described. Techniques for observations involving all relevant platforms: spacecraft, the Earth's surface, aircraft, balloons, and rockets are proposed. The need for interagency coordination of programs, efficient data management, theoretical studies and modeling, the continuity of long time series observations, and innovative instrument design is emphasized. Examples of the practical impact of interactions between solar terrestrial phenomena and the environment, including technological systems are presented.

Source record↗

NASA NTRS2013

Predicting Operator Execution Times Using CogTool

Researchers and developers of NextGen systems can use predictive human performance modeling tools as an initial approach to obtain skilled user performance times analytically, before system testing with users. This paper describes the CogTool models for a two pilot crew executing two different types of a datalink clearance acceptance tasks, and on two different simulation platforms. The CogTool time estimates for accepting and executing Required Time of Arrival and Interval Management clearances were compared to empirical data observed in video tapes and registered in simulation files. Results indicate no statistically significant difference between empirical data and the CogTool predictions. A population comparison test found no significant differences between the CogTool estimates and the empirical execution times for any of the four test conditions. We discuss modeling caveats and considerations for applying CogTool to crew performance modeling in advanced cockpit environments.

Santiago-Espada, Yamira↗