Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2006-06-22
Physics
Condensed Matter
Statistical Mechanics
4 pages, 3 figures, revtex4. New figure added, labeling of figure 2 corrected
Scientific paper
10.1103/PhysRevLett.97.197802
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.
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