来自Wannier函数方法的材料张量光学和传输性能的数据集
Zhenyao Fang1, Ting-Wei Hsu2, Qimin Yan3
1Department of Physics, Northeastern University, Boston, Massachusetts, 02115, US. z.fang@northeastern.edu.
Scientific data
|July 2, 2025
概括
这项研究介绍了7301种材料最大的张量光学和传输特性数据集. 这些全面的数据可以准确地预测能源采集和电子产品中的功能材料.
科学领域:
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
- 计算化学计算化学
背景情况:
- 对材料属性的准确预测对于能源采集和电子应用至关重要.
- 现有的数据集往往缺乏全面的张量光学和传输属性,阻碍了异构性分析.
- 张力性质对于理解材料中的异性效应至关重要.
研究的目的:
- 为了呈现迄今为止最大的张量光学和传输属性的数据集.
- 为了促进新型光电子和热电材料的数据驱动的发现.
- 为了实现对各种材料的功能性质的系统研究.
主要方法:
- 使用Wannier函数方法计算了张量光学特性 (光导率,转移电流) 和传输特性 (电导率,热导率,Seebeck系数,zT).
- 通过最大扩散和与第一原则带结构的比较,验证了Wannier函数的质量.
- 编制了7301种材料的数据集.
主要成果:
- 为7301种材料建立了最大的张量光学和传输特性数据集.
- 验证了计算方法的准确性和可靠性.
- 为材料属性预测提供了一个全面的资源.
结论:
- 该数据集显著推进了用于光电子和热电应用的功能材料的研究.
- 这种资源将加速发现具有理想性质的新材料.
- 能够更深入地理解材料属性的异构性.
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