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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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Project on Nuclear Gaming: Investigating the Impact of Nuclear Weapons Capabilities on Deterrence: May 2-3, 2018 Workshop Summary

In the future, it may be possible for states to construct nuclear weapons with alternative effects that are optimized for specific military purposes. These nuclear weapon concepts might employ features such as enhanced radiation outputs (ER), electromagnetic pulse (EMP), or other approaches such as high-precision, low-yield systems (HPLY) that reduce collateral damage, but improve lethality to targets. Some have speculated that such weapons could have the effect of lowering the threshold of use for nuclear weapons by reducing the negative incentives to their use or by providing new military applications for nuclear weapons. A nuclear arsenal that includes weapons with alternate effect regimes may also have an impact on the calculus of escalation in a conflict scenario. This project of the University of California, Berkeley (UCB), Sandia National Laboratories (SNL), and Lawrence Livermore National Laboratory (LLNL) investigates the potential impacts of alternate nuclear weapons effects regimes on deterrence and strategic stability using experimental gaming methods. The purpose of this document is to capture the research questions, assumptions, scenario characteristics, and other details that provide the framework used to address this challenge presented during the first workshop discussion hosted by the Center for Global Security Research at LLNL with subject matter experts from government, academia, and the private sector. The report also summarizes feedback from participants. Topics discussed during the workshop included alternative effects of nuclear weapons, existing approaches for modeling and measuring conflict, and the state of the art in experimental game design.

45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEF↗

U.S.-Russian Nuclear Arms Control: Crisis and Collapse or Crossroads? Workshop Summary August 2018

In this context, the first day of the workshop was dedicated to assessing the incentives and disincentives the United States and Russia face in pursuing further arms control agreements as well as the role of arms control in the two countries’ foreign policies and security strategies.On the second day, the workshop participants explored four pathways for a renewal of U.S.-Russian arms control, including:New START extension or a New START follow-on agreement; an agreement which meets Russia at least half way in the strategic space; an agreement addressing challenges to European nuclear stability; and unusual mix-and-match approaches that might be taken. The discussions and their results are summarized here.

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗

Workshop on Modeling and Simulation of Systems and Applications, August 13-14, 2014, University of Washington, Seattle

In our efforts to continue the momentum toward quantitative understanding of the performance, power, and reliability of systems and applications, the modeling and simulation (hereafter ModSim) community gathered for its annual Workshop on Modeling & Simulation of Systems and Applications, held August 13-14, 2014 in Seattle. The 2014 Workshop on Modeling & Simulation of Systems and Applications, or ModSim 2014, focused on three critical technological areas: 1. Integrated Modeling and Simulation of Performance, Power, and Reliability; 2. Standards, Integration, and Interoperability of ModSim Methodologies and Tools; and 3. Advances in Core Modeling and Simulation Methods and Tools. The two-day meeting featured 21 presentations (based on peer-reviewed submissions) delivered over six parallel sessions, and there were six invited talks. Discussions aimed toward consolidating and directing this diverse technical community were especially beneficial as we continue to map out the future and form of ModSim research and development. This report presents a summary of the presentations, discussions, and findings culled from ModSim 2014. Each of the three critical technology areas are presented, structured as major research directions, gaps, cross-pollination, and path forward.

97 MATHEMATICS AND COMPUTING↗

High-Resolution Coupling and Initialization to Improve Predictability and Predictions in Climate Models Workshop, September 30 – October 2, 2015

The goals of the workshop were 1) to enhance interactions and communications between the climate-prediction and the climate modeling and projection communities, 2) to summarize and synthesize the current status of the research and also document the challenges in initialized high-resolution simulations in both communities, and 3) to identify the criteria for establishing a multi-model experimental framework to optimally address major pressing questions in the context of available computing resources. The two-and-a-half-day workshop was hosted September 30 to October 2, 2015, at the NOAA Center for Weather and Climate Prediction.

54 ENVIRONMENTAL SCIENCES↗

Building a Cyberinfrastructure for Environmental System Science: Modeling Frameworks, Data Management, and Scientific Workflows, Workshop Report, Potomac, Maryland, April 30-May 1, 2015

The Environmental System Science (ESS) activity within the Department of Energy’s (DOE) Office of Biological and Environmental Research (BER) seeks to advance a robust, predictive understanding of terrestrial environments, extending from bedrock to the top of the vegetative canopy and from molecular to global scales, through an iterative cycle of model-driven experimentation and observation dubbed MODEX. Considerable progress has been made toward achieving this overarching goal, but widely recognized is the fragmentation across projects and disciplines of the relevant modeling and simulation capabilities, observational and experimental data, analysis algorithms, and workflow tools. This fragmentation creates significant challenges for studying impacts and feedbacks in these complex multiscale systems. These challenges are further exacerbated by ongoing disruptive changes in high-performance computational architectures and the exponential growth in the types and volume of data that render obsolete the conventional approaches to software development and data management. Overcoming these challenges will require the development of a BER Climate and Environmental Sciences Division (CESD)–wide enabling cyberinfrastructure to support data management, cross-domain modeling, data analysis, and collaborative research. To explore the potential for working groups to initiate and guide a more integrated and community-based cyberinfrastructure, BER held the ESS Workshop on Model-Data Integration: Modeling Frameworks, Data Management, and Scientific Workflows on April 30-May 1, 2015, following the ESS Principal Investigator Meeting in Potomac, Maryland. Participants included model developers, software engineers, and data management specialists from eight national laboratories, which represented a wide range of projects and programs from CESD as well as cross-cutting projects from DOE’s Office of Advanced Scientific Computing Research (ASCR; both BER and ASCR are operated from within DOE’s Office of Science). A series of plenary talks provided background information and clarified the workshop’s three objectives: (1) develop requirements for this community-based cyberinfrastructure to ensure enhanced scientific productivity of the community as a whole; (2) identify challenges associated with developing this new cyberinfrastructure using a phased approach guided by project-driven use cases; and, given these requirements and challenges, (3) chart a path forward for ESS working groups to lead the phased development of the new cyberinfrastructure.

54 ENVIRONMENTAL SCIENCES↗

Climate and Environmental Sciences Division, North Slope of Alaska Priorities Workshop, September 10–12, 2014

The U.S. Department of Energy (DOE) Climate and Environmental Sciences Division (CESD) within the Office of Biological and Environmental Research (BER), is hosting a series of workshops to solicit community feedback on how key scientific needs, gaps, and priorities in process model understanding and climate model prediction could be addressed through strategic deployment and operation of instruments and routine high resolution modeling. In particular, the use of the Atmospheric Radiation Measurement (ARM) Climate Research Facility—a DOE Office of Science user facility— is being reconfigured to better support the integration of observations and high-resolution modeling and to address these types of emerging science questions. As part of ARM’s reconfiguration, instruments are being concentrated to produce denser observational capabilities at fewer sites. In September 2014, the North Slope of Alaska (NSA) Priorities Workshop was held to obtain scientific input on priorities for observational and scientific research activities related to atmospheric processes in the North Slope region and to identify gaps or needs that limit the ability of the research community to address these scientific priorities. Topics of discussion included capabilities at the existing ARM NSA facilities in Barrow and Oliktok Point, additional observations that may supplement and/or link these facilities (e.g., aircraft, unmanned aerial systems, tethered balloons, scanning radar systems, surface stations), and modeling activities.

54 ENVIRONMENTAL SCIENCES↗

Research for Sustainable Bioenergy: Linking Genomic and Ecosystem Sciences, Workshop, October 2-4, 2013 Report

The design of sustainable biofuel systems requires knowledge about key plant-microbe-environment interactions that provide a range of ecosystem services. Most critical is a mechanistic understanding of how candidate biofuel plants interact with biotic and abiotic factors to affect the ecosystem outcomes that define sustainability. Recent advances in the genomic sciences can contribute immensely to the knowledge needed to design such systems. For example, progress in plant genomics will enable the inclusion of sustainability traits in future feedstocks, and advances in microbial genomics will allow insights into plantmicrobe-soil interactions that might be used to manage and support plant productivity and vigor. Linking these advances to breakthroughs in ecosystem science enables the use of systems biology in the fundamental design of sustainable biofuel systems. To identify research opportunities in developing such systems, the Department of Energy’s (DOE) Office of Biological and Environmental Research (BER) held the Research for Sustainable Bioenergy Workshop on Oct. 2–4, 2013, in Germantown, Maryland. The workshop convened more than 30 researchers with a broad and diverse range of expertise, including ecology, microbiology, plant genetics, genomics, computational biology, and modeling. Participants discussed and identified research gaps, challenges, and opportunities for enhancing the understanding of influences that biotic, abiotic, and genetic factors have on long-term plant feedstock performance and the delivery of ecosystem services at multiple scales. This report identifies the key topics and questions that could be addressed effectively to achieve this understanding. Research opportunities are organized into four categories: (1) plant systems, encompassing plant productivity, resource use efficiency, genotype/phenotype breeding, and crop diversity; (2) the plant microbiome, which includes microbes living in close association within or adjacent to plants; (3) ecosystem processes, such as carbon capture, greenhouse gas mitigation, and hydrologic processes; and (4) multiscale modeling, which integrates and extends results across spatiotemporal scales.

59 BASIC BIOLOGICAL SCIENCES↗

Low Emission Advanced Power (LEAP) Workshop - Technical Note

Sixty (60) representatives from nine (9) corporations, six (6) national laboratories, and fifteen (15) universities came to the National Energy Technology Laboratory’s (NETL’s) Morgantown, West Virginia site from all over the world to participate in the workshop. Important opportunities for hybrid power systems were identified and key challenges associated with their implementation and commercialization were discussed. The main outcomes and technical conclusions from the workshop are summarized below.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗

U.S. Extended Deterrence in Europe and in the Asia-Pacific: Similarities, Differences, and Interdependencies - A Workshop Summary

The purpose of the workshop was to compare how U.S. extended deterrence in Europe and the Asia-Pacific has been adapting to growing security challenges, explore what U.S. allies from both regions can learn from each other, and examine how U.S. security guarantees in both regions are interrelated. The event brought together almost 60 government and nongovernmental experts from the United States, NATO member states, Australia, Japan, and South Korea. This was the second workshop on cross-regional perspectives on U.S. extended deterrence sponsored by CGSR. The first event, co-organized by the CGSR, took place in October 2015.

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗

Algorithms and Abstractions for Assembly in PDE Codes: Workshop Report

The emergence of high-concurrency architectures offering unprecedented performance has brought many high-performance partial differential equation (PDE) discretization codes to the precipice of a major refactor. To help address this challenge a workshop titled "Algorithms and Abstractions for Assembly in PDE Codes" was held in the Computer Science Research Institute at Sandia National Laboratories on May 12th-14th, 2014. This document summarizes the goals of the workshop and the results of the presentations and subsequent discussions.

97 MATHEMATICS AND COMPUTING↗

Report of the DOE Workshop on Management, Analysis, and Visualization of Experimental and Observational data – The Convergence of Data and Computing

The Department of Energy (DOE) Office of Science (SC) operates dozens of national science user facilities that span many different disciplines. These facilities include accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nanoworld, the environment, and the atmosphere. In Fiscal Year 2014 over 33,000 researchers from academia, industry, and government laboratories, spanning all fifty states and the District of Columbia, utilized these unique facilities to perform new scientific research. Each of these facilities generates vast amounts of scientific data, and the rate, size, and complexity of this data is rapidly increasing, thanks to advances in technology. A growing concern, which motivates this workshop, is the likely significant adverse impact on science programs that will result without significant advances in the capabilities needed to manage and gain knowledge from these collections of data. The purpose of this workshop, held 29 September 2015 through 1 October 2015 in Bethesda, MD, is to help the Advanced Scientific Computing Research (ASCR) and research community better understand needs related to the management, analysis, and visualization of experimental and observational data (EOD) collected and generated by experimental and observational science projects (EOS) at Office of Science user facilities.

97 MATHEMATICS AND COMPUTING↗

ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources [Brochure]

In January 2019, the U.S. Department of Energy (DOE), Office of Science (SC) program in Advanced Scientific Computing Research (ASCR) convened a workshop to identify priority research directions (PRDs) for In Situ Data Management (ISDM). The workshop defined ISDM as the practices, capabilities, and procedures to control the organization of data and enable the coordination and communication among heterogeneous tasks, executing simultaneously in a high-performance computing (HPC) system, cooperating toward a common objective.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗

Regional Feedstock Partnership 2019 Workshop Report

The U.S. Department of Energy (DOE) and the Sun Grant Initiative began the Regional Feedstock Partnership (RFP) in 2007 primarily to address information gaps associated with sustainably and reliably producing a billion-tons of biomass annually by the year 2030 for the U.S. bioenergy industry. The culmination of these efforts were reported in the Sun Grant/DOE Regional Feedstock Partnership Final Technical Report. The same biomass resources used to support these yield and sustainability efforts included analytical characterization data representing biomass quality. Considerable effort has been put into collection, harmonization, and archival of the analytical data, metadata, and physical samples associated with the thousands of samples collected from the RFP field trials. This data provides a unique opportunity to understand the impacts of agronomic and forest production practices, as well as environmental factors, on biomass material attributes relevant to bioenergy production. To more efficiently develop these relationships, this workshop was held to bring together the experts who conducted the RFP field trials and the biomass attribute data analysts. The objectives of the workshop included the following: • Enable face-to-face interactions with field trial experts, allowing for insights into the species and field trials themselves that are not obvious looking at data alone • Fill in metadata and analytical gaps from the RFP for future analyses • Share results from analysis of RFP biomass properties for each species along with associated field experiment observations/results • Discuss the potential to develop biomass quality maps • Discuss preparation of peer-reviewed publications for each species • Discuss outlines for a comprehensive summary report on the evaluation of RFP biomass material attributes for quality determination, focusing on the results of peer-reviewed publications and analysis of compiled RFP biomass attribute datasets

09 BIOMASS FUELS↗

Workshop Report: Wind Innovations for Rural Economic Development (WIRED)

The U.S. Department of Energy's Wind Energy Technologies Office (WETO) hosted the Wind Innovations for Rural Economic Development (WIRED) workshop in October 2018 with support from PNNL and NREL. The goals of the workshop were to develop an understanding of 1) what opportunities and challenges face rural electric utilities, considering distributed wind and other distributed energy resources, 2) what research and development pathways could enable wind technology to be more valuable for rural electric utilities, and 3) how DOE, in partnership with utilities and stakeholders, might ease the deployment of distributed wind systems. The report captures the key challenges, opportunities, and potential federal government R&D solutions as communicated by the stakeholder participants.

17 WIND ENERGY↗

Proceedings of the 2019 PV Reliability Workshop, 26-28 February 2019, Lakewood, Colorado

NREL hosts an annual Photovoltaic Reliability Workshop (PVRW) so solar technology experts can share information leading to the improvement of PV module reliability. Such improvement reduces the cost of solar electricity and promotes investor confidence in the technology - both critical goals for moving PV technologies deeper into the electricity marketplace. This document collects the presentations and posters from the 2019 PV Reliability Workshop, which was hosted by NREL from Tuesday, February 26, to Thursday, February 28, 2019.

14 SOLAR ENERGY↗

Southeastern Energy Storage Symposium and Workshop: Report on Proceedings and Lessons Learned

On July 17-18, 2019, the U.S. Department of Energy (DOE), Sandia National Laboratories (SNL), Pacific Northwest National Laboratory (PNNL), and Southern Research (SR) conducted the Southeastern Energy Storage Symposium and Workshop, a two-day event on energy storage technologies in Birmingham, AL. The first day of the event (Symposium) was open to all interested parties; the second day (Workshop) was open only to employees of state energy regulatory agencies. The event was conducted as part of the Energy Storage Program within the DOE's Office of Electricity.

25 ENERGY STORAGE↗

The Trillion Pixel GeoAI Challenge Workshop

Rapid innovations in satellite and airborne remote sensing capabilities holds the promise of collecting high-resolution imagery with daily, even hourly cadence across the entire planet. Availability of such earth observation data streams at varying spatial and temporal scales, coupled with astonishing progress in AI and transformational advances in high performance computing bring into view the possibility of mapping and interpreting the surface of our planet at unprecedented detail. The implications of such capability for science, technology, policy, and security are far reaching. Moreover, even at a modest 5m resolution, 100 trillion pixels will describe the surface of the Earth every day. Consequently, monitoring the pulse of our planet will entail collecting, refining, analyzing, and curating those 100 trillion pixels within a 24-hour period. That is a challenge with unknown solutions as of today’s advances and therefore serves as a key motivation for this workshop. The GEOINT and AI communities have a unique opportunity to enable detailed monitoring the pulse of our planet and obtain new insights into how humans occupy, interact with, and alter the surface of the Earth over time. From a science and technology standpoint, this is a modern-day moonshot that presents numerous challenges particularly related to scaling the analysis to every pixel covering the planet. The challenge of making sense of all these pixels in a timely fashion include image processing at scale, selective analysis of only the pixels that matter, generalizing AI models across heterogeneous locations, computing on hardware that is memory constrained, and deploying automated feature extraction on edge devices. The designing of capable GeoAI workflows and data pipelines will require interdisciplinary efforts and partnerships. The Trillion Pixel Challenge for GeoAI workshop was is promoted as a first community effort to discuss priority research and development directions and to establish the partnerships and collaborations needed to make progress on critical scientific and operational applications from local to regional to planet scale.

97 MATHEMATICS AND COMPUTING↗

Advancing Fusion with Machine Learning Research Needs Workshop

The pursuit of fusion energy has required extensive experimental and theoretical science activities to develop the knowledge needed that will enable design of successful fusion power plants. Even today, following decades of research in many key areas including plasma physics and material science, much remains to be learned to enable optimization of the tokamak or other paths to fusion energy. Data science methods from the fields of machine learning and artificial intelligence (ML/AI) offer opportunities for enabling or accelerating progress toward the realization of fusion energy by maximizing the amount and usefulness of information extracted from experimental and simulation output data. Jointly supported by the Department of Energy Offices of Fusion Energy Science (FES) and Advanced Scientific Computing Research (ASCR), a workshop was organized to identify Priority Research Opportunities (PRO’s) for application of ML/AI methods to enable accelerated solution of fusion problems. The resulting “Advancing Fusion with Machine Learning Research Needs Workshop,” held in Gaithersburg, MD, April 30 – May 2, 2019, brought together ~ 60 experts in fields spanning fusion science, data science, statistical inference and mathematics, machine learning, and artificial intelligence, along with DOE program managers and technical experts, to identify key PRO’s.

70 PLASMA PHYSICS AND FUSION TECHNOLOGY↗