Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds

Title
Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds
Authors
Keywords
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Journal
CHEMISTRY OF MATERIALS
Volume 33, Issue 14, Pages 5591-5605
Publisher
American Chemical Society (ACS)
Online
2021-07-07
DOI
10.1021/acs.chemmater.1c00905

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