作者: Zhanghui Chen , Jingbo Li , Shushen Li , Lin-Wang Wang
DOI: 10.1007/S12274-017-1475-9
关键词: Physics 、 Ab initio 、 Maxima and minima 、 Differential evolution 、 Atomic physics 、 Property (programming) 、 Chemical physics 、 Nanoclusters 、 Energy landscape 、 Work (thermodynamics) 、 Energy (signal processing)
摘要: Pt nanoclusters play an important role in catalysis-related applications. Essential to their activities are geometries and energy landscapes. In this work, we studied the landscapes of clusters using a parallel differential evolution optimization algorithm accelerated ab initio atomic relaxation method, which allowed us explore unprecedentedly large numbers geometry local minima at level. We found many lower-energy isomers with low symmetry geometry. The were demonstrated be glass-like number minimum structures close global minimum. electronic magnetic properties most dramatically different from minimum, they should observed experimental measurements. connections between these further analyzed data mining techniques.