蒙特卡罗方法
统计物理学
形式主义(音乐)
蒙特卡罗分子模拟
动态蒙特卡罗方法
混合蒙特卡罗
动力学蒙特卡罗方法
统计物理中的蒙特卡罗方法
而量子蒙特卡罗
计算机科学
物理
马尔科夫蒙特卡洛
数学
统计
视觉艺术
艺术
音乐剧
作者
Maarten Mees,Geoffrey Pourtois,Erik C. Neyts,Barend J. Thijsse,A. Stesmans
标识
DOI:10.1103/physrevb.85.134301
摘要
Monte Carlo (MC) methods have a long-standing history as partners of molecular dynamics (MD) to simulate the evolution of materials at the atomic scale. Among these techniques, the uniform-acceptance force-bias Monte Carlo (UFMC) method has recently attracted attention thanks to its apparent capacity of being able to simulate physical processes in a reduced number of iterations compared to classical MD methods. The origin of this efficiency remains, however, unclear. In this work we derive a UFMC method starting from basic thermodynamic principles, which leads to an intuitive and unambiguous formalism. The approach includes a statistically relevant time step per Monte Carlo iteration, showing a significant speed-up compared to MD simulations. This time-stamped force-bias Monte Carlo (tfMC) formalism is tested on both simple one-dimensional and three-dimensional systems. Both test-cases give excellent results in agreement with analytical solutions and literature reports. The inclusion of a time scale, the simplicity of the method, and the enhancement of the time step compared to classical MD methods make this method very appealing for studying the dynamics of many-particle systems. © 2012 American Physical Society.
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