Supporting data for "Multi elements approach tuning defect, phase structure, and thermoelectric properties of M3Q2-type thermoelectric materials"

This dataset contains a series of data related to the field of thermoelectrics, including the meta data, p-type Bi2Se3, magnetic thermoelectric matrix, machine learning, and regulation of thermoelectric properties of Mg3Sb2-based thermoelectric materials.The metadata is consisted of materials characterizations, such as XRD patterns, SEM, PPMS, etc, thermoelectric property measurement, such as ZEM, and LFA. Besides, the generated graphs based on the exprimental results are related to the thermoelectric field, such as the p-type polycrystalline Bi2Se3, the construction of magnetic thermoelectric matrix, the discovery of potential thermoelectric materials via machine learning, and the advanced techniques on improving thermoelectric properties of Mg3Sb2-based materials via multiple elements doping.

本数据集汇聚了热电领域的一系列数据，涵盖元数据、p型Bi2Se3、磁性热电矩阵、机器学习以及基于Mg3Sb2的热电材料热电性能调控等方面的内容。元数据包括材料表征，如X射线衍射(XRD)图谱、扫描电子显微镜(SEM)、物理性能测量系统(PPMS)等，以及热电性能测量，如ZEM测量和激光荧光衰减(LFA)技术。此外，基于实验结果的生成图形与热电领域相关，例如p型多晶Bi2Se3的热电性质、磁性热电矩阵的构建、通过机器学习发现的潜在热电材料，以及通过多元素掺杂提升基于Mg3Sb2材料热电性能的先进技术。