金属与半导体材料微观尺度晶体和物理性质数据集

本数据集支持晶体结构与性能关系建模、第一性原理研究的验证基准、材料数据库建设与知识图谱构建等基础研究，在电极材料、半导体材料的筛选与预评估、性能瓶颈分析与调控方向确定、辅助实验设计与数据反演等研究发挥重要作用。通过系统化应用本数据集，预期能够提升新材料研发效率，促进材料结构-性能关系的深度理解，为原创性科研提供坚实数据支撑。

This dataset supports fundamental research including modeling of the relationship between crystal structures and their properties, validation benchmarks for first-principles research, material database construction and knowledge graph construction. It plays a crucial role in studies such as screening and pre-evaluation of electrode and semiconductor materials, performance bottleneck analysis and determination of regulation directions, assisted experimental design and data inversion. Through systematic application of this dataset, it is expected to improve the R&D efficiency of new materials, deepen the understanding of the structure-property relationship of materials, and provide solid data support for original scientific research.

搜集汇总

背景与挑战

背景概述

该数据集包含MgO、CaB6等金属与半导体材料的电子结构数据及Fe、Al等金属的分子动力学数据，适用于晶体结构建模、材料性能研究等领域，可提升新材料研发效率并深化材料性能理解。