RESEARCH PAPER · Chemistry of Materials · 2021
Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds
Alexandru Bogdan Georgescu, Peiwen Ren, Aubrey R. Toland, Shengtong Zhang, Kyle D. Miller, Daniel W. Apley, Elsa Olivetti, Nicholas Wagner, James M. Rondinelli
Read original paper ↗See where this research leads.
A citation map has not been saved for this paper yet.
The paper record is available below. Preparing a network uses the existing account and source-allowance controls.
Papers that cite this work
No saved citation network is available; this does not mean the paper has no citations.