Automated stopped-flow library synthesis for rapid optimisation and machine learning directed experimentation

Avila, C, Green, C, Kossenjans, M et al. (6 more authors) (2022) Automated stopped-flow library synthesis for rapid optimisation and machine learning directed experimentation. Chemical Science, 13 (41). pp. 12087-12099. ISSN 2041-6520

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Item Type: Article
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© 2022 The Author(s). Published by the Royal Society of Chemistry. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

Dates:
  • Published: 7 November 2022
  • Published (online): 13 September 2022
  • Accepted: 9 September 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds)
Funding Information:
Funder
Grant number
EPSRC (Engineering and Physical Sciences Research Council)
EP/R032807/1
Royal Academy of Engineering
RCSRF1920\9\38
Depositing User: Symplectic Publications
Date Deposited: 14 Sep 2022 13:14
Last Modified: 18 Nov 2022 15:40
Status: Published
Publisher: Royal Society of Chemistry
Identification Number: 10.1039/d2sc03016k
Open Archives Initiative ID (OAI ID):

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