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Search Publications by: James S. Sims (Assoc)

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Displaying 26 - 50 of 56

Extending Measurement Science to Interactive Visualization Environments

January 30, 2009
Author(s)
Judith E. Terrill, William L. George, Terence J. Griffin, John G. Hagedorn, John T. Kelso, Thomas M. Olano, Adele P. Peskin, Steven G. Satterfield, James S. Sims, Jeffrey W. Bullard, Joy P. Dunkers, Nicos Martys, Agnes A. O'Gallagher, Gillian Haemer
We describe a method for creating a visual laboratory to interactively measure and analyze scientific data. We move the normal activities that scientists perform to understand their data into the visualization environment. The visualization environment is

Accelerating Scientific Discovery through Computation and Visualization III. Tight-binding Wave Functions for Quantum Dots

June 2, 2008
Author(s)
James S. Sims, John G. Hagedorn, Steven G. Satterfield, Terence J. Griffin, William L. George, Howard Hung, John T. Kelso, Thomas M. Olano, Adele P. Peskin, Judith E. Terrill, Garnett W. Bryant, Jose G. Diaz
This is the third in a series of articles that describe, through examples, how the Scientific Applications and Visualization Group (SAVG) at NIST has utilized high performance parallel computing, visualization, and machine learning to accelerate scientific

Intrinsic Surface States in Semiconductor Nanocrystals: HgS Quantum Dots

March 23, 2005
Author(s)
James S. Sims, Garnett W. Bryant, Howard Hung
Confined states in typical nanocrystals are localized to the dot interior. Surface states are extrinsic states localized at unsaturated dangling bonds or surface defects. We show that intrinsic surface states occur in nanocrystals made from negative gap

Accelerating Scientific Discovery through Computation and Visualization II

May 1, 2002
Author(s)
James S. Sims, William L. George, Steven G. Satterfield, Howard Hung, John G. Hagedorn, Peter M. Ketcham, Terence J. Griffin
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)