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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-05-01
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Series: | Materials & Design |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127523002836 |