Award Abstract #0626305
Collaborative Research: Cyberinfrastructure for Phase-Space Mapping -- Free Energies, Phase Equilibria and Transition Paths
NSF Org: |
CHE
Division of Chemistry
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Initial Amendment Date: |
September 5, 2006 |
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Latest Amendment Date: |
June 12, 2008 |
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Award Number: |
0626305 |
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Award Instrument: |
Continuing grant |
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Program Manager: |
Carlos A. Murillo
CHE Division of Chemistry
MPS Directorate for Mathematical & Physical Sciences
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Start Date: |
October 1, 2006 |
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Expires: |
September 30, 2009 (Estimated) |
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Awarded Amount to Date: |
$537200 |
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Investigator(s): |
David Kofke kofke@buffalo.edu (Principal Investigator)
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Sponsor: |
SUNY at Buffalo
501 Capen Hall
Buffalo, NY 14260 716/645-5000
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NSF Program(s): |
CHEMICAL INSTRUMENTATION, INTERFAC PROCESSES & THERMODYN
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Field Application(s): |
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Program Reference Code(s): |
OTHR, 7569, 7237, 0000
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Program Element Code(s): |
1938, 1414
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ABSTRACT
David Kofke of the State University of New York at Buffalo, Sharon Glotzer of the University of Michigan, Peter Cummings of Vanderbilt University, David Chandler of the University of California at Berkeley, and Lev Gelb of Washingon University are supported by NSF's Division of Chemistry and Division of Chemical and Transport Systems, under the Division of Chemistry's Cyberinfrastructure and Research Facilities Program. This collaborative project will develop cyberinfrastructure that will enable the routine application of molecular simulation methods to the calculation of free energies, phase equilibria, and transition paths. This application area is the focus because: (a) the relevant physical phenomena are of great scientific and practical importance; (b) robust and user-friendly software for this general class of calculations is nearly non-existent; (c) the relevant techniques can be formulated in a general way, so with careful development the new infrastructure will apply to a very broad range of systems and phenomena; (d) the area will benefit from advances in methodology, which will make the techniques better suited for emerging problems in nanotechnology.
This project will make available an important class of simulation methods that are presently underutilized by nonspecialists. Also, the infrastructure will be developed in a way that facilitates coordination among all those engaged in the development and implementation of simulation methods, potentially seeding an open-source movement in molecular and mesoscale simulation. Workshops, educational modules, and outreach activities with industrial partners will maximize dissemination, and undergraduate and graduate instructional activities are planned which will incorporate results quickly into courses.
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