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Accelerating Scientific Discovery through Computation and Visualization II

Published

Author(s)

James S. Sims, William L. George, Steven G. Satterfield, Howard Hung, John G. Hagedorn, Peter M. Ketcham, Terence J. Griffin

Abstract

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.
Citation
Journal of Research (NIST JRES) -
Volume
107
Issue
3

Keywords

discovery science, FEFF, FeffMPI, genetic programming, Hylleraas-Configuration Interaction, immersive environments, Lennard-Jones, nanostructures, screen saver science, parallel computing, QDPD, scientific visualization

Citation

Sims, J. , George, W. , Satterfield, S. , Hung, H. , Hagedorn, J. , Ketcham, P. and Griffin, T. (2002), Accelerating Scientific Discovery through Computation and Visualization II, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=152136 (Accessed September 27, 2022)
Created May 1, 2002, Updated February 19, 2017