Recent strides in artificial intelligence for predicting thermoelectric properties and materials discovery

Machine learning models as part of artificial intelligence have enjoyed a recent surge in answering a long-standing challenge in thermoelectric materials research. That challenge is to produce stable, and highly efficient, thermoelectric materials for their application in thermoelectric devices for...

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Bibliographic Details

Published in:	JPhys Energy
Main Authors:	Nikhil K Barua, Sangjoon Lee, Anton O Oliynyk, Holger Kleinke
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Subjects:	algorithms machine learning thermoelectric XGBoost materials informatics
Online Access:	https://doi.org/10.1088/2515-7655/adba87