Interpretable Machine Learning Enabled Inorganic Reaction Classification and Synthesis Condition Prediction

Karpovich, Christopher; Pan, Elton; Jensen, Zach; Olivetti, Elsa

doi:10.1021/acs.chemmater.2c03010

Interpretable Machine Learning Enabled Inorganic Reaction Classification and Synthesis Condition Prediction

Journal Article · 26 January 2023 · Chemistry of Materials

DOI:https://doi.org/10.1021/acs.chemmater.2c03010· OSTI ID:2422334

^[1]; Pan, Elton ^[2]; ^[2]; ^[2]

Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, Massachusetts02139, United States; OSTI
Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, Massachusetts02139, United States

Not provided.

Research Organization:: Northwestern Univ., Evanston, IL (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

DOE Contract Number:: AR0001209

OSTI ID:: 2422334

Journal Information:: Chemistry of Materials, Journal Name: Chemistry of Materials Journal Issue: 3 Vol. 35; ISSN 0897-4756

Publisher:: American Chemical Society (ACS)

Country of Publication:: United States

Language:: English

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