Thomas W. Chamberlain

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 · 157 citations · Full text

Process Integration, Engineering, Machine Learning +17

Size, Structure, and Helical Twist of Graphene Nanoribbons Controlled by Confinement in Carbon Nanotubes

Thomas W. Chamberlain, Johannes Biskupek, Graham A. Rance et al. · ACS Nano · 2012 · 151 citations

Materials Science, Graphene Nanomeshes, Nanosheet +14

Algorithms for the self-optimisation of chemical reactions

Adam D. Clayton, Jamie A. Manson, Connor J. Taylor et al. · Reaction Chemistry & Engineering · 2019 · 151 citations

Process Design, Chemical Engineering, Engineering +11

Highly Selective and Solvent-Dependent Reduction of Nitrobenzene to <i>N</i>-Phenylhydroxylamine, Azoxybenzene, and Aniline Catalyzed by Phosphino-Modified Polymer Immobilized Ionic Liquid-Stabilized AuNPs

Simon Doherty, Julian G. Knight, Tom Backhouse et al. · ACS Catalysis · 2019 · 120 citations · Full text

Engineering, Organic Chemistry, Nanoheterogeneous Catalysis +16

Chemical Reactions of Molecules Promoted and Simultaneously Imaged by the Electron Beam in Transmission Electron Microscopy

Stephen T. Skowron, Thomas W. Chamberlain, Johannes Biskupek et al. · Accounts of Chemical Research · 2017 · 106 citations · Full text