Title of article :
CALYPSO: A method for crystal structure prediction Original Research Article
Author/Authors :
Yanchao Wang، نويسنده , , Jian Lv، نويسنده , , Li Zhu، نويسنده , , Yanming Ma، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2012
Pages :
8
From page :
2063
To page :
2070
Abstract :
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] . In this paper, we focus on descriptions of the implementation of CALYPSO code and why it works.
Keywords :
structure prediction , crystal structure , Particle swarm optimization algorithm
Journal title :
Computer Physics Communications
Serial Year :
2012
Journal title :
Computer Physics Communications
Record number :
1138668
Link To Document :
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