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arXiv 2107.03540cond-mat.mtrl-sci
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一个独立于表征的晶体材料电荷密度数据库

A representation-independent electronic charge density database for crystalline materials

Jimmy-Xuan Shen, Jason M. Munro, Matthew K. Horton, Patrick Huck, Shyam Dwaraknath, Kristin A. Persson

摘要:

除了作为密度泛函理论中的核心量之外,电荷密度还可以用于材料科学中的许多三级分析,从成键到将电荷分配给特定原子。电荷密度是数据丰富的,因为它包含了系统中所有电子的信息。随着机器学习工具在材料科学中的使用越来越多,像电荷密度这样的数据丰富的对象可以在广泛的应用中使用。作为材料项目的一部分,这里介绍的数据库为大量不断更新的电荷密度收集提供了一个现代化和用户友好的界面。除了电荷密度数据之外,我们还提供了改变电荷密度表示的理论和代码,这应该能够为更广泛的社区提供更先进的机器学习研究。

英文摘要:

In addition to being the core quantity in density functional theory, the charge density can be used in many tertiary analyses in materials sciences from bonding to assigning charge to specific atoms. The charge density is data-rich since it contains information about all the electrons in the system. With increasing utilization of machine-learning tools in materials sciences, a data-rich object like the charge density can be utilized in a wide range of applications. The database presented here provides a modern and user-friendly interface for a large and continuously updated collection of charge densities as part of the Materials Project. In addition to the charge density data, we provide the theory and code for changing the representation of the charge density which should enable more advanced machine-learning studies for the broader community.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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