Optimisation of flow chemistry: tools and algorithms

González Niño, Carlos (2020) Optimisation of flow chemistry: tools and algorithms. PhD thesis, University of Leeds.

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Keywords: Flow chemistry, cross-validation, Machine Learning, Continuous oscillatory baffled reactor, surrogate modelling, fReactor, continuous stirred tank reactor, optimisation, residence time distribution, multi-objective optimisation
Awarding institution: University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Mechanical Engineering (Leeds)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.806854
Depositing User: Carlos González Niño
Date Deposited: 11 Jun 2020 15:48
Last Modified: 11 Jul 2020 09:53

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