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Hybrid deterministic and stochastic approach for efficient atomistic simulations at long time scales

Pratyush Tiwary and Axel van de Walle
Phys. Rev. B 84, 100301(R) – Published 23 September 2011

Abstract

We propose a hybrid deterministic and stochastic approach to achieve extended time scales in atomistic simulations that combines the strengths of molecular dynamics (MD) and Monte Carlo (MC) simulations in an easy-to-implement way. The method exploits the rare event nature of the dynamics similar to most current accelerated MD approaches but goes beyond them by providing, without any further computational overhead, (a) rapid thermalization between infrequent events, thereby minimizing spurious correlations, and (b) control over accuracy of time-scale correction, while still providing similar or higher boosts in computational efficiency. We present two applications of the method: (a) Vacancy-mediated diffusion in Fe yields correct diffusivities over a wide range of temperatures and (b) source-controlled plasticity and deformation behavior in Au nanopillars at realistic strain rates (104/s and lower), with excellent agreement with previous theoretical predictions and in situ high-resolution transmission electron microscopy observations. The method gives several orders-of-magnitude improvements in computational efficiency relative to standard MD and good scalability with the size of the system.

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  • Received 30 August 2011

DOI:https://doi.org/10.1103/PhysRevB.84.100301

©2011 American Physical Society

Authors & Affiliations

Pratyush Tiwary*

  • Department of Applied Physics and Materials Science, California Institute of Technology, Pasadena, California 91125, USA

Axel van de Walle

  • School of Engineering, Brown University, Providence, Rhode Island 02912, USA

  • *pt@caltech.edu

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Issue

Vol. 84, Iss. 10 — 1 September 2011

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