Multiscale Monte Carlo algorithm for simple fluids.
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 simulations, eliminating hydrodynamic slowing down.
Maggs
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Laboratoire de Physico-Chime Théorique, UMR CNRS-ESPCI 7083, 10 rue Vauquelin, 75231 Paris Cedex 05, France.
D003102:Colloids / Q000737:chemistry*; D045424:Complex Mixtures / Q000737:chemistry*; D003198:Computer Simulation; D008956:Models, Chemical; D008958:Models, Molecular; D015233:Models, Statistical; D009010:Monte Carlo Method; D012212:Rheology / Q000379:methods*
D003102:Colloids; D045424:Complex Mixtures