2006/06/30 by A. C. Maggs
Computer Science · Engineering · Physics and Astronomy · #Advanced Mathematical Modeling in Engineering #Phase Equilibria and Thermodynamics #Theoretical and Computational Physics #cond-mat.soft #cond-mat.stat-mech #physics.chem-ph #physics.comp-ph
paper · pdf · doi:10.1103/physrevlett.97.197802
4 pages, 3 figures, revtex4. New figure added, labeling of figure 2 corrected
arxiv created 2006/09/05 · openalex publication_date 2006/11/09 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.