Multiscale Monte Carlo for simple fluids
Statistical Mechanics
2009-11-11 v2 Soft Condensed Matter
Chemical Physics
Computational Physics
Abstract
We introduce a multiscale Monte Carlo algorithm to simulate dense simple fluids. The probability of an update follows a power law distribution in its length scale. The collective motion of clusters of particles requires generalization of the Metropolis update rule to impose detailed balance. We apply the method to the simulation of a Lennard-Jones fluid and show improvements in efficiency over conventional Monte Carlo and molecular dynamics, eliminating hydrodynamic slowing down.
Cite
@article{arxiv.cond-mat/0606570,
title = {Multiscale Monte Carlo for simple fluids},
author = {A. C. Maggs},
journal= {arXiv preprint arXiv:cond-mat/0606570},
year = {2009}
}
Comments
4 pages, 3 figures, revtex4. New figure added, labeling of figure 2 corrected