Automated Self-Optimisation of Multi-Step Reaction and Separation Processes Using Machine Learning

Clayton, AD orcid.org/0000-0002-4634-8008, Schweidtmann, AM, Clemens, G et al. (8 more authors) (2020) Automated Self-Optimisation of Multi-Step Reaction and Separation Processes Using Machine Learning. Chemical Engineering Journal, 384. 123340. p. 123340. ISSN 1385-8947

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Published by Elsevier B.V. This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Keywords: Automated flow reactor; Environmental chemistry; Machine learning; Reaction engineering; Sustainable chemistry
Dates:
  • Published: 15 March 2020
  • Accepted: 31 October 2019
  • Published (online): 2 November 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds)
The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Chemistry (Leeds) > Inorganic Chemistry (Leeds)
The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Chemistry (Leeds) > Organic Chemistry (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds)
Funding Information:
FunderGrant number
Royal Academy of EngineeringRCSRF1920\9\38
Depositing User: Symplectic Publications
Date Deposited: 04 Nov 2019 11:25
Last Modified: 21 Jan 2020 17:04
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.cej.2019.123340

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