沃罗诺图
阴极
电池(电)
主成分分析
密度泛函理论
锂(药物)
离子键合
计算机科学
能量密度
材料科学
算法
离子
路径(计算)
统计物理学
人工智能
化学
几何学
数学
工程类
物理
工程物理
计算化学
物理化学
内分泌学
功率(物理)
有机化学
程序设计语言
医学
量子力学
作者
Felix T. Bölle,Arghya Bhowmik,Tejs Vegge,J. M. Garcı́a-Lastra,Ivano E. Castelli
标识
DOI:10.1002/batt.202100086
摘要
Abstract Stable and fast ionic conductors for magnesium cathode materials have the prospect of enabling high energy density batteries beyond current Lithium‐ion technologies. So far, only a few candidate materials have been identified leading to data only being scarcely available to the community. Here, we present a systematic study, in the framework of Density Functional Theory, including the estimation of the migration barrier for 16 materials through employing Nudged Elastic Band (NEB) calculations. By introducing a path finder algorithm based on the idea of Voronoi tessellations, we show that an estimate of the transition state configuration can be extracted automatically prior to running NEB‐calculations. Using geometrical descriptors in combination with a principal component analysis it is possible to further sub‐group the migration paths. This approach also extends to materials which are not part of the study, making it a viable approach to more efficiently explore crystal structures with distinguishable migration characteristics.
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