Enhanced process development using automated continuous reactors by self-optimisation algorithms and statistical empirical modelling

Jeraal, MI, Holmes, N orcid.org/0000-0002-3846-6493, Akien, GR et al. (1 more author) (2018) Enhanced process development using automated continuous reactors by self-optimisation algorithms and statistical empirical modelling. Tetrahedron, 74 (25). pp. 3158-3164. ISSN 0040-4020

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Elsevier Ltd. This is an author produced version of a paper published in Tetrahedron. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Self-optimisation; Design of experiments; Clasien-schmidt condensation; Reaction metrics; Process development; Flow chemistry
Dates:
  • Published: 21 June 2018
  • Accepted: 24 February 2018
  • Published (online): 27 February 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds)
Funding Information:
FunderGrant number
Royal Academy of EngineeringISS1516/8/32
Depositing User: Symplectic Publications
Date Deposited: 28 Feb 2018 13:49
Last Modified: 27 Feb 2019 01:39
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.tet.2018.02.061

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