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Discovery of High-Performance Thermoelectric Chalcogenides through Reliable High-Throughput Material Screening.

Lili XiShanshan PanXin LiYonglin XuJianyue NiXin SunJiong YangJun LuoJinyang XiWenhao ZhuXinran LiDi JiangRichard DronskowskiXun ShiG Jeffrey SnyderWenqing Zhang
Published in: Journal of the American Chemical Society (2018)
High-throughput (HTP) material design is an emerging field and has been proved to be powerful in the prediction of novel functional materials. In this work, an HTP effort has been carried out for thermoelectric chalcogenides with diamond-like structures on the newly established Materials Informatics Platform (MIP). Specifically, the relaxation time is evaluated by a reliable yet efficient method, which greatly improves the accuracy of HTP electrical transport calculations. The results show that all the compounds may have power factors over 10 μW/cm·K2 if fully optimized. A new series of diamond-like chalcogenides with an atomic ratio of 1:2:4 possess relatively higher electrical transport properties among all the compounds investigated. One particular compound, CdIn2Te4, and its variations have been verified experimentally with a peak ZT over 1.0. Further analysis reveals the existence of general conductive networks and the similar Pisarenko relations under the same anion sublattice, and the transport distribution function is found to be a good indicator for the power factors for the compounds investigated. This work demonstrates a successful case study in HTP material screening.
Keyphrases
  • high throughput
  • single cell
  • atomic force microscopy
  • density functional theory
  • small molecule
  • high resolution
  • ionic liquid
  • reduced graphene oxide
  • gold nanoparticles
  • deep learning