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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Published in:Journal of research of the National Institute of Standards and Technology Vol. 107; no. 3; pp. 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: Journal Article
Language:English
Published: United States National Institute of Standards and Technology 01-05-2002
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[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
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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.
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ISSN:1044-677X
2165-7254
DOI:10.6028/jres.107.019