从头算
密度泛函理论
电子结构
锂(药物)
石墨烯
材料科学
氢气储存
计算化学
从头算量子化学方法
氢
化学物理
统计物理学
纳米技术
化学
分子
物理
量子力学
医学
内分泌学
作者
Chris J. Pickard,R. J. Needs
标识
DOI:10.1088/0953-8984/23/5/053201
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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