晶体结构预测
粒子群优化
亚稳态
编码(集合论)
缩小
计算机科学
算法
Crystal(编程语言)
全局优化
软件
群体行为
计算科学
材料科学
数学优化
物理
晶体结构
数学
化学
结晶学
人工智能
程序设计语言
集合(抽象数据类型)
量子力学
作者
Yanchao Wang,Jian Lv,Li Zhu,Yanming Ma
标识
DOI:10.1016/j.cpc.2012.05.008
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 high successful rate of this CALYPSO method [Wang et al., Phys. Rev. B 82 (2010) 094116][1]. In this paper, we focus on descriptions of the implementation of CALYPSO code and why it works.
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