晶体结构预测
进化算法
亚稳态
晶体结构
计算机科学
光学(聚焦)
单位(环理论)
算法
理论计算机科学
数学优化
数学
统计物理学
人工智能
物理
结晶学
化学
数学教育
量子力学
光学
作者
Colin W. Glass,Artem R. Oganov,Nikolaus Hansen
标识
DOI:10.1016/j.cpc.2006.07.020
摘要
We approach the problem of computational crystal structure prediction, implementing an evolutionary algorithm—USPEX (Universal Structure Predictor: Evolutionary Xtallography). Starting from chemical composition we have tested USPEX on numerous systems (with up to 80 atoms in the unit cell) for which the stable structure is known and have observed a success rate of nearly 100%, simultaneously finding large sets of competitive metastable structures. Here focus is on implementation and discussion of our method.
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