Multiscale Monte Carlo for simple fluids

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.

4 pages, 3 figures, revtex4. New figure added, labeling of figure 2 corrected

References in corpus (3)

• Rejection-free Geometric Cluster Algorithm for Complex Fluids
• Critical Dynamics in a Binary Fluid: Simulations and Finite-size Scaling
• Numerical Solution of Hard-Core Mixtures

Cited by in corpus (5)

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• Off-lattice Monte Carlo Simulation of Supramolecular Polymer Architectures
• Wavelet Monte Carlo dynamics: a new algorithm for simulating the hydrodynamics of interacting Brownian particles
• Multi-scale time-stepping in molecular dynamics