Prediction of molecular crystal structures using a genetic algorithm: Validation by GenMol™ on energetic compounds

Journal of Crystal Growth(2009)

引用 14|浏览5
暂无评分
摘要
This work deals with the problem of finding for a given industrial target the molecule conformation leading to the most efficient crystal polymorph and/or designing unknown crystal packing of new molecules. The originality of the method relies first on constraining the domain of the most probable crystals, before converging towards the predicted packing by a double genetic-refining optimization algorithm. Validation of this approach is discussed on the case study of 46 energetic crystal compounds, using the semi Ab Initio and Molecular Mechanics code GenMol™. This validation shows that all observed structures are retrieved in any circumstances with a relatively high number of good rankings.
更多
查看译文
关键词
31.15.−p
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要