TY  - RPRT
TI  - Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds
AU  - Georgescu, Alexandru B.
AU  - Ren, Peiwen
AU  - Toland, Aubrey R.
AU  - Zhang, Shengtong
AU  - Miller, Kyle D.
AU  - Apley, Daniel W.
AU  - Olivetti, Elsa A.
AU  - Wagner, Nicholas
AU  - Rondinelli, James M.
PY  - 2021
DO  - 10.1021/acs.chemmater.1c00905
UR  - https://www.osti.gov/biblio/1805317
ID  - 1805317
ER  -