Adaptive-boost molecular dynamics simulation of carbon diffusion in iron

Akio Ishii, Shigenobu Ogata, Hajime Kimizuka, and Ju Li
Phys. Rev. B 85, 064303 – Published 21 February 2012

Abstract

We have developed an accelerated molecular dynamics (MD) method to model atomic-scale rare events. In this method, a smooth histogram of collective variables is first estimated by canonical ensemble molecular dynamics calculations, and then a temperature-dependent boost potential is iteratively constructed to accelerate the MD simulation. This method not only allows us to observe the rare events but also to evaluate the profile of free energy and trial frequency along the reaction coordinate. We employed this method to study carbon diffusion in bcc iron and evaluated carbon's temperature-dependent diffusivity. The obtained diffusivities agree well with the experimental measurements. Even at low temperature for which, to the best of our knowledge, no experimental data are available, the diffusivity can be evaluated accurately. Additionally, we study carbon diffusion inside the edge dislocation core in bcc iron, and demonstrate the applicability of the method to rare events on a rugged free-energy surface.

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  • Received 4 April 2011

DOI:https://doi.org/10.1103/PhysRevB.85.064303

©2012 American Physical Society

Authors & Affiliations

Akio Ishii, Shigenobu Ogata*, and Hajime Kimizuka

  • Department of Mechanical Science and Bioengineering, Osaka University, Osaka 560-8531, Japan

Ju Li

  • Department of Nuclear Science and Engineering and Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA

  • *ogata@me.es.osaka-u.ac.jp
  • liju@mit.edu

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Issue

Vol. 85, Iss. 6 — 1 February 2012

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