A Critical Review of Machine Learning Techniques on Thermoelectric Materials
Author:
Affiliation:
1. Materials Genome Institute, Shanghai University, Shanghai200444, China
2. School of Physics and Electronic Science, East China Normal University, Shanghai200241, China
3. Zhejiang Laboratory, Hangzhou, Zhejiang311100, China
Funder
National Natural Science Foundation of China
Zhejiang Laboratory
Publisher
American Chemical Society (ACS)
Subject
General Materials Science,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.2c03073
Reference100 articles.
1. On the tuning of electrical and thermal transport in thermoelectrics: an integrated theory–experiment perspective
2. Artificial Photosynthesis over Metal Halide Perovskites: Achievements, Challenges, and Prospects
3. Machine Learning Approaches for Thermoelectric Materials Research
4. Materials Discovery and Properties Prediction in Thermal Transport via Materials Informatics: A Mini Review
5. Application of Materials Genome Methods in Thermoelectrics
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