Self-Evolving Atomistic Kinetic Monte Carlo simulations of defects in materials

被引:28
作者
Xu, Haixuan [1 ]
Stoller, Roger E. [2 ]
Beland, Laurent K. [2 ]
Osetsky, Yuri N. [2 ]
机构
[1] Univ Tennessee, Dept Mat Sci & Engn, Knoxville, TN 37996 USA
[2] Oak Ridge Natl Lab, Div Mat Sci & Technol, Oak Ridge, TN USA
关键词
Kinetic Monte Carlo; Self-Evolving Atomistic Kinetic Monte Carlo (SEAKMC); On-the-fly; Time scale; Active volume; NEUTRON-IRRADIATION DAMAGE; INTERATOMIC POTENTIALS; DISLOCATION LOOPS; HELIUM CLUSTERS; TIME-SCALE; DYNAMICS; ENERGY; TEMPERATURE; RELAXATION; EVOLUTION;
D O I
10.1016/j.commatsci.2014.12.026
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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. The challenges and potential development directions are also outlined. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:135 / 143
页数:9
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