Uniform-acceptance force-bias Monte Carlo method with time scale to study solid-state diffusion
Author(s) -
Maarten Mees,
Geoffrey Pourtois,
Erik C. Neyts,
Barend J. Thijsse,
A. Stesmans
Publication year - 2012
Publication title -
physical review b
Language(s) - English
Resource type - Journals
eISSN - 1538-4489
pISSN - 1098-0121
DOI - 10.1103/physrevb.85.134301
Subject(s) - monte carlo method , statistical physics , formalism (music) , monte carlo molecular modeling , dynamic monte carlo method , hybrid monte carlo , kinetic monte carlo , monte carlo method in statistical physics , quantum monte carlo , computer science , physics , markov chain monte carlo , mathematics , statistics , art , musical , visual arts
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 [ G. Dereli Mol. Simul. 8 351 (1992)] has recently attracted attention [ M. Timonova et al. Phys. Rev. B 81 144107 (2010)] 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
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