Bayesian optimization for material discovery processes with noise
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Show full item recordAbstract
<jats:p>An augmented Bayesian optimization approach is presented for materials discovery with noisy and unreliable measurements.</jats:p>
Date issued
2022-03Department
Massachusetts Institute of Technology. Department of Chemical EngineeringJournal
Molecular Systems Design & Engineering
Publisher
Royal Society of Chemistry (RSC)
Citation
Diwale, Sanket, Eisner, Maximilian K, Carpenter, Corinne, Sun, Weike, Rutledge, Gregory C et al. 2022. "Bayesian optimization for material discovery processes with noise." Molecular Systems Design & Engineering.
Version: Final published version
ISSN
2058-9689