Ab initio random structure searching

被引:1002
作者
Pickard, Chris J. [1 ]
Needs, R. J. [2 ]
机构
[1] UCL, Dept Phys & Astron, Gower St, London WC1E 6BT, England
[2] Univ Cambridge, Cavendish Lab, Condensed Matter Theory Grp, Cambridge CB3 0HE, England
基金
英国工程与自然科学研究理事会;
关键词
HIGH-PRESSURE PHASES; CRYSTAL-STRUCTURE PREDICTION; SPACE-GROUP FREQUENCIES; GLOBAL OPTIMIZATION; ENERGY LANDSCAPES; SOLID HYDROGEN; GROUP-IV; TRANSITION; PRINCIPLES; CLUSTERS;
D O I
10.1088/0953-8984/23/5/053201
中图分类号
O469 [凝聚态物理学];
学科分类号
070205 ;
摘要
It is essential to know the arrangement of the atoms in a material in order to compute and understand its properties. Searching for stable structures of materials using first-principles electronic structure methods, such as density-functional-theory (DFT), is a rapidly growing field. Here we describe our simple, elegant and powerful approach to searching for structures with DFT, which we call ab initio random structure searching (AIRSS). Applications to discovering the structures of solids, point defects, surfaces, and clusters are reviewed. New results for iron clusters on graphene, silicon clusters, polymeric nitrogen, hydrogen-rich lithium hydrides, and boron are presented.
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页数:23
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