Mueller, P, Vriza, A, Clayton, AD et al. (6 more authors) (2023) Exploring the chemical space of phenyl sulfide oxidation by automated optimization. Reaction Chemistry & Engineering. ISSN 2058-9883
Abstract
Automated platforms allow for fast and efficient optimisation of single and multi-objective chemical systems. Herein, we report the application of automated optimisation platforms for the chemical screening of sulfide oxidations in flow. The identification of different optima for each substrate highlights the requirement of rapid, individual experimental optimisation for successful compound screening.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Royal Society of Chemistry 20xx. This is an open access article under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemistry (Leeds) > Inorganic Chemistry (Leeds) |
Funding Information: | Funder Grant number DSTL (Defence Science & Technology Laboratory) Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Jan 2023 16:47 |
Last Modified: | 19 Jan 2023 16:47 |
Published Version: | http://dx.doi.org/10.1039/d2re00552b |
Status: | Published online |
Publisher: | Royal Society of Chemistry (RSC) |
Identification Number: | 10.1039/d2re00552b |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:195226 |