Scalable parallel Monte Carlo algorithm for atomistic simulations of precipitation in alloys

被引:222
|
作者
Sadigh, Babak [1 ]
Erhart, Paul [1 ,2 ]
Stukowski, Alexander [1 ]
Caro, Alfredo [1 ,3 ]
Martinez, Enrique [1 ,3 ]
Zepeda-Ruiz, Luis [1 ]
机构
[1] Lawrence Livermore Natl Lab, Condensed Matter & Mat Div, Livermore, CA USA
[2] Chalmers, Dept Appl Phys, S-41296 Gothenburg, Sweden
[3] Los Alamos Natl Lab, Los Alamos, NM USA
来源
PHYSICAL REVIEW B | 2012年 / 85卷 / 18期
基金
瑞典研究理事会;
关键词
FE-CU; SILICON;
D O I
10.1103/PhysRevB.85.184203
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We present an extension of the semi-grand-canonical (SGC) ensemble that we refer to as the variance-constrained semi-grand-canonical (VC-SGC) ensemble. It allows for transmutation Monte Carlo simulations of multicomponent systems in multiphase regions of the phase diagram and lends itself to scalable simulations on massively parallel platforms. By combining transmutation moves with molecular dynamics steps, structural relaxations and thermal vibrations in realistic alloys can be taken into account. In this way, we construct a robust and efficient simulation technique that is ideally suited for large-scale simulations of precipitation in multicomponent systems in the presence of structural disorder. To illustrate the algorithm introduced in this work, we study the precipitation of Cu in nanocrystalline Fe.
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页数:11
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