Adam D. Clayton

Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives

Artur M. Schweidtmann, Adam D. Clayton, Nicholas Holmes et al. · Chemical Engineering Journal · 2018 · 358 citations · Full text

Natural Sciences, Chemical Engineering, Computer Science +15

Automated self-optimisation of multi-step reaction and separation processes using machine learning

Adam D. Clayton, Artur M. Schweidtmann, Graeme Clemens et al. · Chemical Engineering Journal · 2019 · 160 citations · Full text

Engineering, Chemical Engineering, Optimization +16

Algorithms for the self-optimisation of chemical reactions

Adam D. Clayton, Jamie A. Manson, Connor J. Taylor et al. · Reaction Chemistry & Engineering · 2019 · 159 citations

Natural Sciences, Chemistry, Computational Chemistry +3

Simple and Versatile Laboratory Scale CSTR for Multiphasic Continuous-Flow Chemistry and Long Residence Times

Michael Chapman, Maria H. T. Kwan, Georgina E. King et al. · Organic Process Research & Development · 2017 · 103 citations · Full text

Engineering, Chemical Engineering, Chemistry +17

Bayesian Self‐Optimization for Telescoped Continuous Flow Synthesis

Adam D. Clayton, Edward O. Pyzer‐Knapp, Mark Purdie et al. · Angewandte Chemie International Edition · 2022 · 83 citations · Full text

Pharmacy, Chemistry, Medicinal Chemistry +11