@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},}