Bayesian optimization for material discovery processes with noise
Name
d1me00154j.pdf
Description
Published version
Size
2.41 MB
Format
Unknown
Checksum (MD5)
af4565272bda99c28d01875db8fc86e3
Author(s)
Diwale, Sanket
Eisner, Maximilian K.
Carpenter, Corinne
Sun, Weike
Rutledge, Gregory C.
Braatz, Richard D.
Date Issued
March 2022
Journal
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
Abstract
An augmented Bayesian optimization approach is presented for materials discovery with noisy and unreliable measurements.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Attribution-NonCommercial-ShareAlike 4.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1039/d1me00154j
