z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom