Self-Optimising Reactive Extractions: Towards the Efficient Development of Multi-Step Continuous Flow Processes

Clayton, AD orcid.org/0000-0002-4634-8008, Power, LA, Reynolds, W et al. (6 more authors) (2020) Self-Optimising Reactive Extractions: Towards the Efficient Development of Multi-Step Continuous Flow Processes. Journal of Flow Chemistry, 10. pp. 199-206. ISSN 2062-249X

Abstract

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Copyright, Publisher and Additional Information: © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Continuous flow; Self-optimisation; Automation; Liquid-liquid extraction; Algorithm; Amines
Dates:
  • Published: March 2020
  • Accepted: 17 January 2020
  • Published (online): 19 February 2020
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)
Funding Information:
FunderGrant number
Royal Academy of EngineeringRCSRF1920\9\38
Depositing User: Symplectic Publications
Date Deposited: 20 Jan 2020 10:10
Last Modified: 23 Mar 2020 16:54
Status: Published
Publisher: Akadémiai Kiadó
Identification Number: https://doi.org/10.1007/s41981-020-00086-6

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