@misc{indiciae5f1f483c6a86,
  title = {Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds},
  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.},
  year = {2021},
  doi = {10.1021/acs.chemmater.1c00905},
  url = {https://www.osti.gov/biblio/1805317},
  note = {Source identifier: 1805317}
}