论文标题

AFLOW-XTALFINDER:识别结晶原型的可靠选择

AFLOW-XtalFinder: a reliable choice to identify crystalline prototypes

论文作者

Hicks, David, Toher, Cormac, Ford, Denise C., Rose, Frisco, De Santo, Carlo, Levy, Ohad, Mehl, Michael J., Curtarolo, Stefano

论文摘要

晶体学数据库中存储库条目的加速增长率使识别和对其原型结构进行分类非常艰巨。开源的flow-xtalfinder软件包是为解决此问题而开发的。它象征性地将结构映射到秋季原型百科全书之后的标准名称中,并计算与国际晶体学的国际自由度的内部自由度。为了确保唯一性,通过对称性,局部原子几何形状和晶体映射技术对结构进行分析和比较,同时通过相似性对它们进行分组。软件i。区分不同的晶体原型和原子装饰,ii。确定等效的自旋配置,iii。揭示具有相似特性的化合物,并且IV。指导发现未开发的材料。可以通过准备工作流程和命令行语法的Python模块访问操作。 Aflow.org存储库中的所有4+百万个化合物都映射到其理想的原型,从而使用户可以通过符号结构类型搜索数据库条目。此外,从Aflow -ICSD目录中提取了15,000个独特的结构(按患病率排序),以作为百科全书中的未来原型。

The accelerated growth rate of repository entries in crystallographic databases makes it arduous to identify and classify their prototype structures. The open-source AFLOW-XtalFinder package was developed to solve this problem. It symbolically maps structures into standard designations following the AFLOW Prototype Encyclopedia and calculates the internal degrees of freedom consistent with the International Tables for Crystallography. To ensure uniqueness, structures are analyzed and compared via symmetry, local atomic geometries, and crystal mapping techniques, simultaneously grouping them by similarity. The software i. distinguishes distinct crystal prototypes and atom decorations, ii. determines equivalent spin configurations, iii. reveals compounds with similar properties, and iv. guides the discovery of unexplored materials. The operations are accessible through a Python module ready for workflows, and through command line syntax. All the 4+ million compounds in the AFLOW.org repositories are mapped to their ideal prototype, allowing users to search database entries via symbolic structure-type. Furthermore, 15,000 unique structures - sorted by prevalence - are extracted from the AFLOW-ICSD catalog to serve as future prototypes in the Encyclopedia.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源