Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds
- Award ID(s):
- 1729303
- NSF-PAR ID:
- 10409534
- Publisher / Repository:
- American Chemical Society
- Date Published:
- Journal Name:
- Chemistry of Materials
- Volume:
- 33
- Issue:
- 14
- ISSN:
- 0897-4756
- Page Range / eLocation ID:
- p. 5591-5605
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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