Automated reaction optimisation in continuous flow

Labes, R, Bourne, RA orcid.org/0000-0001-7107-6297 and Chamberlain, TW orcid.org/0000-0001-8100-6452 (Cover date: July / August 2020) Automated reaction optimisation in continuous flow. Chemistry Today, 38 (4). ISSN 0392-839X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: Protected by copyright. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: automation, FLOW CHEMISTRY, machine learning, Organic Synthesis, Peer Reviewed, Self-optimisation
Dates:
  • Accepted: 31 August 2020
  • Published (online): July 2020
  • Published: July 2020
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:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/R032807/1
Royal Academy of EngineeringRCSRF1920\9\38
Depositing User: Symplectic Publications
Date Deposited: 03 Sep 2020 13:53
Last Modified: 06 Jan 2022 17:01
Published Version: https://www.teknoscienze.com/tks_article/automated...
Status: Published
Publisher: TKS TeknoScienze

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