Gelb Research Group at Washington University in St. Louis
 

Monte Carlo simulations using sampling from an approximate potential

Lev D. Gelb


Citation:
Lev D. Gelb, J. Chem. Phys. 118 #17 (2003) 7747-7750

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.

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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