The effect of chemical representation on active machine learning towards closed-loop optimization†
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Authors
Pomberger, A
Pedrina McCarthy, AA
Khan, A
Sung, S
Taylor, CJ
Colwell, L
Publication Date
2022Journal Title
Reaction Chemistry and Engineering
ISSN
2058-9883
Publisher
Royal Society of Chemistry (RSC)
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Pomberger, A., Pedrina McCarthy, A., Khan, A., Sung, S., Taylor, C., Gaunt, M., Colwell, L., et al. (2022). The effect of chemical representation on active machine learning towards closed-loop optimization†. Reaction Chemistry and Engineering https://doi.org/10.1039/d2re00008c
Abstract
<jats:p>Multivariate chemical reaction optimization involving catalytic systems is a non-trivial task due to the high number of tuneable parameters and discrete choices.</jats:p>
Sponsorship
Alexander
Funder references
Engineering and Physical Sciences Research Council (EP/S024220/1)
Identifiers
External DOI: https://doi.org/10.1039/d2re00008c
This record's URL: https://www.repository.cam.ac.uk/handle/1810/333755
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