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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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A Comprehensive Structural Study of Offshore Wind Turbine Foundation and Non-Model Based Damage Detection using Effective Mass with Application to Small Components/ Cables and a Truss Wind Turbine Tower
This research has two areas of focus. The first area is to investigate offshore wind turbine (OWT) designs, for use in the Maryland offshore wind area (MOWA), using intensive modeling techniques. The second focus area is to investigate a way to detect damage in wind turbine towers and small electrical components.
Building a laboratory foundation for interpreting spectral emission from x-ray binary and black hole accretion disks.
Abstract not provided.
Building a laboratory foundation for interpreting spectral emission from x-ray binary and black hole accretion disks.
Abstract not provided.
A Discrete Foundation for Physics and Experience
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Foundations of a Discrete Physics
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An Essay on Discrete Foundations for Physics
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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.
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.
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.
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.
Building on the Foundation: Optimization Under Uncertainty and Related Topics.
Abstract not provided.