Using Data-Driven Learning to Predict and Control the Outcomes of Inorganic Materials Synthesis
Author:
Affiliation:
1. Department of Chemistry, University of Southern California, Los Angeles, California 90089, United States
Funder
Basic Energy Sciences
Publisher
American Chemical Society (ACS)
Subject
Inorganic Chemistry,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.inorgchem.3c02697
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