Self-evolving atomistic kinetic Monte Carlo simulations of defects in materials

Xu, Haixuan; Beland, Laurent K.; Stoller, Roger E.; Osetskiy, Yury N.

doi:10.1016/j.commatsci.2014.12.026

Title: Self-evolving atomistic kinetic Monte Carlo simulations of defects in materials

Journal Article · Thu Jan 29 00:00:00 EST 2015 · Computational Materials Science

DOI:https://doi.org/10.1016/j.commatsci.2014.12.026· OSTI ID:1185974

Xu, Haixuan ^[1]; Beland, Laurent K. ^[2]; Stoller, Roger E. ^[2]; Osetskiy, Yury N. ^[2]

Univ. of Tennessee, Knoxville, TN (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

The recent development of on-the-fly atomistic kinetic Monte Carlo methods has led to an increased amount attention on the methods and their corresponding capabilities and applications. In this review, the framework and current status of Self-Evolving Atomistic Kinetic Monte Carlo (SEAKMC) are discussed. SEAKMC particularly focuses on defect interaction and evolution with atomistic details without assuming potential defect migration/interaction mechanisms and energies. The strength and limitation of using an active volume, the key concept introduced in SEAKMC, are discussed. Potential criteria for characterizing an active volume are discussed and the influence of active volume size on saddle point energies is illustrated. A procedure starting with a small active volume followed by larger active volumes was found to possess higher efficiency. Applications of SEAKMC, ranging from point defect diffusion, to complex interstitial cluster evolution, to helium interaction with tungsten surfaces, are summarized. A comparison of SEAKMC with molecular dynamics and conventional object kinetic Monte Carlo is demonstrated. Overall, SEAKMC is found to be complimentary to conventional molecular dynamics, especially when the harmonic approximation of transition state theory is accurate. However it is capable of reaching longer time scales than molecular dynamics and it can be used to systematically increase the accuracy of other methods such as object kinetic Monte Carlo. Furthermore, the challenges and potential development directions are also outlined.

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Research Organization:: Energy Frontier Research Centers (EFRC) (United States). Center for Defect Physics in Structural Materials (CDP); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Defect Physics (CDP)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: AC05-00OR22725; ERKCS99

OSTI ID:: 1185974

Alternate ID(s):: OSTI ID: 1250301

Journal Information:: Computational Materials Science, Vol. 100; ISSN 0927-0256

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 20 works

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