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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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At least 685 records · Page 38
All sourcesNASA NTRSDOE OSTI
DOE OSTI2017

2017 Grid Modernization Peer Review Report; Foundational Projects and Technical Area Portfolio Review

In April 2017, the U.S. Department of Energy’s (DOE’s) Grid Modernization Initiative (GMI) conducted its first external peer review of the projects awarded to the Grid Modernization Laboratory Consortium (GMLC) to execute a diverse portfolio of technologies to modernize the nation’s grid. The six technology areas reviewed during the 2017 Project Peer Review were: Design and Planning Tools; Devices and Integrated Systems; Institutional Support, Security and Resilience; Sensing and Measurement; and System Operations, Power Flow, and Control. Results of the 2017 Peer Review have been, and will be, used to help inform programmatic decision making, modify or discontinue existing projects, guide future funding opportunities, and support other budget and strategic planning objectives.

24 POWER TRANSMISSION AND DISTRIBUTION↗
DOE OSTI2017

CISR Graduate Certificate and Foundations Course Development

Protecting US critical infrastructure is a vast and complex problem. Recent years have seen a shift in perception and an growth of importance in critical infrastructure protection (CIP). A multidisciplinary problem will require a multidisciplinary solution. This paper outlines the efforts of one university to build a graduate certificate program that seeks to bridge the knowledge and communications gap between information assurance and infrastructure protection.

Critical Infrastructure Protection↗
DOE OSTI2018

HEP Software Foundation Community White Paper Working Group - Data Processing Frameworks

Data processing frameworks are an essential part of HEP experiments' software stacks. Frameworks provide a means by which code developers can undertake the essential tasks of physics data processing, accessing relevant inputs and storing their outputs, in a coherent way without needing to know the details of other domains. Frameworks provide essential core services for developers and help deliver a configurable working application to the experiments' production systems. Modern HEP processing frameworks are in the process of adapting to a new computing landscape dominated by parallel processing and heterogeneity, which pose many questions regarding enhanced functionality and scaling that must be faced without compromising the maintainability of the code. In this paper we identify a program of work that can help further clarify the key concepts of frameworks for HEP and then spawn R&D activities that can focus the community's efforts in the most efficient manner to address the challenges of the upcoming experimental program.

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
DOE OSTI2018

HEP Software Foundation Community White Paper Working Group -- Data Organization, Management and Access (DOMA)

Without significant changes to data organization, management, and access (DOMA), HEP experiments will find scientific output limited by how fast data can be accessed and digested by computational resources. In this white paper we discuss challenges in DOMA that HEP experiments, such as the HL-LHC, will face as well as potential ways to address them. A research and development timeline to assess these changes is also proposed.

Berzano, Dario↗
DOE OSTI2018

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}

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
DOE OSTI2019

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.

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗