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Search Publications by: Judith E. Terrill (Fed)

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Displaying 26 - 33 of 33

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

Correction of Location and Orientation Errors in Electromagnetic Motion Tracking

August 1, 2007
Author(s)
John G. Hagedorn, Steven G. Satterfield, John T. Kelso, W. Austin, Judith E. Terrill, Adele Peskin
We describe a method for calibrating an electromagnetic motion tracking device. Algorithms for correcting both location and orientation are presented. In particular, we use a method for interpolating rotation corrections at scattered data points that has

Accelerating Scientific Discovery through Computation and Visualization

November 1, 2000
Author(s)
James S. Sims, John G. Hagedorn, Peter M. Ketcham, Steven G. Satterfield, Terence J. Griffin, William L. George, H A. Fowler, B A. am Ende, Howard Hung, Robert B. Bohn, John E. Koontz, Nicos Martys, Charles E. Bouldin, James A. Warren, D L. Feder, Charles W. Clark, Bernard J. Filla, Judith E. Terrill
The rate of scientific discovery can be accelerated through computation and visualization. This acceleration results from the synergy of expertise, computing tools, and hardware for enabling high performance computation, information science, and
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