Prediction of superior thermoelectric performance in unexplored doped-BiCuSeO via machine learning

BiCuSeO compound is a promising thermoelectric material, which has attracted many experimental studies through trial-and-error approaches to improve its thermoelectric performance by element doping, such that a fast and efficient prediction of thermoelectric property for unexplored and rarely explor...

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Hlavní autoři:	Zhijian He, Jinlin Peng, Chihou Lei, Shuhong Xie, Daifeng Zou, Yunya Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2023-05-01
Edice:	Materials & Design
Témata:	BiCuSeO Thermoelectric Machine learning Doping Prediction
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S0264127523002836
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