Free Energy Calculations with Reduced Potential Cutoff Radii
The Jarzynski Equality, the Crooks Fluctuation Theorem, and the Maximum Likelihood Estimator use a nonequilibrium approach for the determination of free energy differences due to a change in the state of a system. Here, this approach is used in combination with a novel transformation algorithm to in...
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Published in: | Journal of chemical theory and computation Vol. 9; no. 4; pp. 2083 - 2089 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
American Chemical Society
09-04-2013
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Online Access: | Get full text |
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Summary: | The Jarzynski Equality, the Crooks Fluctuation Theorem, and the Maximum Likelihood Estimator use a nonequilibrium approach for the determination of free energy differences due to a change in the state of a system. Here, this approach is used in combination with a novel transformation algorithm to increase computational efficiency in simulations with interacting particles, without losing accuracy. The algorithm is shown to work well for a Lennard-Jones fluid undergoing a change in density over three very different density ranges, and for the systems considered the algorithm demonstrates computational savings of up to approximately 90%. The results obtained directly from the Jarzynski Equality and from the Maximum Likelihood Estimator are also compared. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1549-9618 1549-9626 |
DOI: | 10.1021/ct300953u |