Monte Carlo simulations using sampling from an approximate potential
Lev D. Gelb
Citation: Abstract: A simulation algorithm is proposed in which the potential energy function used in a Monte Carlo simulation is replaced with one that is less expensive to evaluate, coupled with a correction step based on the difference between the two potentials. This can result in a substantial reduction in computational cost. A formal derivation of the appropriate sampling criteria is given, as well as estimates of the possible improvements in code performance. The method is demonstrated on the Lennard-Jones fluid at several state points, where speedups of as much as fourfold are achieved with negligible loss in precision. Obtain a PDF copy of this paper here |
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Department of Chemistry and
Center for Materials Innovation Washington University in St. Louis |
Last modification:
Fri Aug 17 16:24:37 2007 gelb@wustl.edu |