Accelerating Scientific Discovery Through Computation and Visualization II

This is the second in a series of articles describing a wide variety of projects at NIST that synergistically combine physical science and information science. It describes, through examples, how the Scientific Applications and Visualization Group (SAVG) at NIST has utilized high performance paralle...

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Bibliographic Details
Published in:Journal of research of the National Institute of Standards and Technology 2002-05, Vol.107 (3), p.223-245
Main Authors: Sims, James S, George, William L, Satterfield, Steven G, Hung, Howard K, Hagedorn, John G, Ketcham, Peter M, Griffin, Terence J, Hagstrom, Stanley A, Franiatte, Julien C, Bryant, Garnett W, Jaskólski, W, Martys, Nicos S, Bouldin, Charles E, Simmons, Vernon, Nicolas, Oliver P, Warren, James A, Am Ende, Barbara A, Koontz, John E, Filla, B James, Pourprix, Vital G, Copley, Stefanie R, Bohn, Robert B, Peskin, Adele P, Parker, Yolanda M, Devaney, Judith E
Format: Article
Language:English
Subjects:
Analysis
Computer science
Dendrites
Genetic research
Growth
Information science
Molecular dynamics
Nanotechnology
Physical sciences
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Summary:This is the second in a series of articles describing a wide variety of projects at NIST that synergistically combine physical science and information science. It describes, through examples, how the Scientific Applications and Visualization Group (SAVG) at NIST has utilized high performance parallel computing, visualization, and machine learning to accelerate research. The examples include scientific collaborations in the following areas: (1) High Precision Energies for few electron atomic systems, (2) Flows of suspensions, (3) X-ray absorption, (4) Molecular dynamics of fluids, (5) Nanostructures, (6) Dendritic growth in alloys, (7) Screen saver science, (8) genetic programming.
ISSN:1044-677X
2165-7254
DOI:10.6028/jres.107.019