2021 ChemMater Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds Alexandru B. Georgescu*, Peiwen Ren*, Aubrey R. Toland, and 6 more authors Bib HTML Code @article{georgescu_database_2021, title = {Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds}, volume = {33}, issn = {0897-4756}, doi = {10.1021/acs.chemmater.1c00905}, pages = {5591--5605}, number = {14}, journaltitle = {Chemistry of Materials}, shortjournal = {Chem. Mater.}, author = {Georgescu*, Alexandru B. and Ren*, Peiwen and Toland, Aubrey R. and Zhang, Shengtong and Miller, Kyle D. and Apley, Daniel W. and Olivetti, Elsa A. and Wagner, Nicholas and Rondinelli, James M.}, date = {2021-07-27}, note = {Publisher: American Chemical Society}, }