Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2009-03-17
Phys. Rev. E 80, 056704 (2009)
Physics
Condensed Matter
Statistical Mechanics
5 pages, 6 figures
Scientific paper
10.1103/PhysRevE.80.056704
In this paper we present the event-chain algorithms, which are fast Markov-chain Monte Carlo methods for hard spheres and related systems. In a single move of these rejection-free methods, an arbitrarily long chain of particles is displaced, and long-range coherent motion can be induced. Numerical simulations show that event-chain algorithms clearly outperform the conventional Metropolis method. Irreversible versions of the algorithms, which violate detailed balance, improve the speed of the method even further. We also compare our method with a recent implementations of the molecular-dynamics algorithm.
Bernard Etienne P.
Krauth Werner
Wilson David B.
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