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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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Sandia?s Foundation LDRD investment in Quantum Information Systems (QIS).
Abstract not provided.
Introduction to Pyomo: The optimization foundation for IDAES.
Abstract not provided.
HEP Software Foundation Community White Paper Working Group – Visualization
In modern High Energy Physics (HEP) experiments visualization of experimental data has a key role in many activities and tasks across the whole data chain: from detector development to monitoring, from event generation to reconstruction of physics objects, from detector simulation to data analysis, and all the way to outreach and education. In this paper, the definition, status, and evolution of data visualization for HEP experiments will be presented. Suggestions for the upgrade of data visualization tools and techniques in current experiments will be outlined, along with guidelines for future experiments. This paper expands on the summary content published in the HSF \emph{Roadmap} Community White Paper~\cite{HSF-CWP-2017-01}
Building Foundations for Nuclear Security Enterprise Analysis Utilizing Nuclear Weapon Data.
Abstract not provided.
HEP Software Foundation Community White Paper Working Group – Conditions Data
To produce the best physics results, high energy physics experiments require access to calibration and other non-event data during event data processing. These conditions data are typically stored in databases that provide versioning functionality, allowing physicists to make improvements while simultaneously guaranteeing the reproducibility of their results. With the increased complexity of modern experiments, and the evolution of computing models that demand large scale access to conditions data, the solutions for managing this access have evolved over time. In this white paper we give an overview of the conditions data access problem, present convergence on a common solution and present some considerations for the future.
CYBERSECURITY FOUNDATIONS AN INTERDISCLIPLINARY INTRODUCTION.
Abstract not provided.
Characterization of sorption and diffusion phenomena as a foundation for polymer degradation and reliability.
Abstract not provided.
FY19 Earth Science Research Foundation: Strategy & Rebranding.
Abstract not provided.
A Workshop on the History of Plutonium Processing at Hanford Washington as the Foundation for Modern-day Plutonium Process Science
Numerous national laboratories in the United States have roots related to the Manhattan Project that contributed to the end of World War II. The pioneering science and engineering that took place over the decades that followed continues to influence modern-day actinide-related research at those institutions, leading to unique strengths and cutting-edge ideas and perspectives. These same national laboratories also face a challenge: figuring out how to capture the expertise of a retiring workforce who had first-hand experience in these pioneering nuclear efforts. Recently, at PNNL a “Train-the-Trainer” approach has been piloted where mentors and mentees are paired together to develop and deliver interactive workshops on historical topics that relate to modern-day research, such as Plutonium Processing or Environmental Management of Legacy Nuclear Waste. This approach was used to develop a workshop that beings with the Historic Hanford process plutonium chemistry and engineering, describes its influence on current plutonium separation and process science, and then details the chemistry of plutonium as it progresses from a minor constituent in irradiated fuel to purified solid product. This workshop is targeted to the practitioner of applied science and technology wishing to gain a better understanding of the history and process-related chemistry of element 94 so that they may better direct the tools of their specific craft toward the present and future needs of plutonium science.
ML & AI Investments in the Computing and Information Science (CIS) Research Foundation.
Abstract not provided.
Primal-Dual Mesh Optimization with Mathematical Foundations.
Abstract not provided.
Primal-Dual Mesh Optimization with Mathematical Foundations.
Abstract not provided.
Asymptotically compatible foundations for nonlocal mechanics.
Abstract not provided.
Foundational Science: Material and Stack Up Models
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From Simple Epoxy Adhesives to a Foundation in Materials Aging.
Abstract not provided.
MATNIP ? MAThematical foundations for Nonlocal Interface Problems: multiscale simulations for heterogeneous materials.
Abstract not provided.