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Search Publications by: Terence J. Griffin (Fed)

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Displaying 1 - 9 of 9

Visualization Ecology Applications for Measurement Science: A Visualization Gap Approach

June 13, 2022
Author(s)
Simon Su, William Sherman, Steven G. Satterfield, Terence J. Griffin, William L. George, Sandy Ressler, Shaw C. Feng, Judith E. Terrill
Advanced visualization research have remained insufficiently included in science and engineering workflows due to the highly specialized task-specific requirements and lack of suitable applications. Although the field of visualization is maturing and

Application Creation for an Immersive Virtual Measurement and Analysis Laboratory

December 21, 2016
Author(s)
Wesley N. Griffin, William L. George, Terence J. Griffin, John G. Hagedorn, Thomas M. Olano, Steven G. Satterfield, James S. Sims, Judith E. Terrill
Content creation for realtime interactive systems is a difficult problem. In game development, content creation pipelines are a major portion of the code base and content creation is a major portion of the budget. In research environments, the choice of

An Integrated Interactive Visualization and Analysis Environment to study the Impact of Fire on Building Structures

July 25, 2010
Author(s)
Dilip K. Banerjee, John L. Gross, Pradeep R. Gaddam, Thomas M. Olano, William J. Hess, Judith E. Terrill, Terence J. Griffin, John G. Hagedorn, John T. Kelso, Steven G. Satterfield
We have created an integrated interactive visualization and analysis environment, that can be used immersively or on the desktop, to study the interaction among fire, heat transfer, and structural deformation computed from three linked simulations. In this

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

Science at the Speed of Thought

February 1, 2005
Author(s)
J E. Devaney, Steven G. Satterfield, John T. Kelso, Adele Peskin, William L. George, John G. Hagedorn, Terence J. Griffin, Howard Hung, R D. Kriz

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)

Volume Visualization of Bose-Einstein Condensates

April 1, 2001
Author(s)
Peter M. Ketcham, D L. Feder, Charles W. Clark, Steven G. Satterfield, Terence J. Griffin, William L. George, Barry I. Schneider, W P. Reinhardt
Theoretical aspects of Bose-Einstein condensates are investigated by conducting computer simulations of their behavior. Scientific visualization techniques are employed in order to examine the large amount of data generated by simulation. Visualization of

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