CALYPSO: A method for crystal structure prediction

被引:2326
作者
Wang, Yanchao [1 ]
Lv, Jian [1 ]
Zhu, Li [1 ]
Ma, Yanming [1 ]
机构
[1] Jilin Univ, State Key Lab Superhard Mat, Changchun 130012, Peoples R China
基金
中国国家自然科学基金;
关键词
Structure prediction; Particle swarm optimization algorithm; Crystal structure; PARTICLE SWARM OPTIMIZATION; TOTAL-ENERGY CALCULATIONS; WAVE BASIS-SET; GENETIC ALGORITHM; EVOLUTIONARY ALGORITHM; GEOMETRY OPTIMIZATION; SIMULATION; PRESSURE; LITHIUM; CASTEP;
D O I
10.1016/j.cpc.2012.05.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We have developed a software package CALYPSO (Crystal structure AnaLYsis by Particle Swarm Optimization) to predict the energetically stable/metastable crystal structures of materials at given chemical compositions and external conditions (e.g., pressure). The CALYPSO method is based on several major techniques (e.g. particle-swarm optimization algorithm, symmetry constraints on structural generation, bond characterization matrix on elimination of similar structures, partial random structures per generation on enhancing structural diversity, and penalty function, etc.) for global structural minimization from scratch. All of these techniques have been demonstrated to be critical to the prediction of global stable structure. We have implemented these techniques into the CALYPSO code. Testing of the code on many known and unknown systems shows high efficiency and the highly successful rate of this CALYPSO method [Y. Wang, J. Lv, L. Zhu, Y. Ma, Phys. Rev. B 82 (2010) 094116] [29]. In this paper, we focus on descriptions of the implementation of CALYPSO code and why it works. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:2063 / 2070
页数:8
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