Multi-objective Bayesian optimisation using q-noisy expected hypervolume improvement (qNEHVI) for the Schotten–Baumann reaction

Author:

Zhang Jiyizhe1ORCID,Sugisawa Naoto12ORCID,Felton Kobi C.1ORCID,Fuse Shinichiro2ORCID,Lapkin Alexei A.134ORCID

Affiliation:

1. Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK

2. Department of Basic Medicinal Sciences, Graduate School of Pharmaceutical Sciences, Nagoya University, Nagoya, 464-8601, Japan

3. Innovation Centre in Digital Molecular Technologies, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK

4. Cambridge Centre for Advanced Research and Education in Singapore (CARES Ltd), #05-05 CREATE Tower, 1 Create Way, 138602, Singapore

Abstract

Multi-objective Bayesian optimisation allows for finding trade-off solutions of the Schotten–Baumann reaction in a continuous flow. The effect of mixing efficiency on the fast reaction results in the complexity of the reaction space.

Funder

Japan Society for the Promotion of Science

Publisher

Royal Society of Chemistry (RSC)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Chemical Engineering (miscellaneous),Chemistry (miscellaneous),Catalysis

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