Session Details

Artificial Intelligence and Data-Driven Approaches in Flow Chemistry 1

Mon. Sep 28, 2026 2:20 PM - 4:00 PM JST
Mon. Sep 28, 2026 5:20 AM - 7:00 AM UTC
Room 3(Exhibition hall (front side))
Chair:Dusan Boskovic(Fraunhofer Institute for Chemical Technology)

[X4DerwU_-01]Automated Dynamic Flow System for Efficient Mapping of Reaction Design Spaces

*Gintare Petkeviciute1, Clarissa Y.P. Wilding1, John Blacker1, Adam D. Clayton1, Thomas W. Chamberlain1, Richard A. Bourne1 (1. University of Leeds (UK))
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[X4DerwU_-02]Efficient Autonomous Exploration of High-Dimensional Catalytic Spaces Using Packetized Stopped-Flow

*Odhran D. Cruise1, Richard A. Bourne1, Adam D. Clayton1, Gilian T. Thomas1, Thomas W. Chamberlain1 (1. University of Leeds (UK))
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[X4DerwU_-03]Machine Learning–Driven Optimization for Poly(Methyl Methacrylate) Microparticles and its Application to Packed-Bed Photoreactor

*Xincheng Zhou1, Hikaru Matsumoto1, Masanori Nagao1, Yoshiko Miura1 (1. Department of Chemical Engineering, Kyushu University (Japan))
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[X4DerwU_-04]A self–driving computational framework for accelerating the micromixing geometry optimization

*Xiao Liang1,2, Jin Xuan1, Huizhi Wang2 (1. University of Surrey, School of Chemistry and Chemical Engineering (UK), 2. Imperial College London, Department of Mechanical Engineering (UK))
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[X4DerwU_-05]Algorithmic Design and Data-Driven Optimization of Triply Periodic Minimal Surfaces for Next-Generation Microreactors

*Bastian Oldach1, Robin Fortmann1, Jessica Menger1, Alexander S. Sommer-Behr1, Konrad E. R. Boettcher1, Norbert Kockmann1 (1. Laboratory of Equipment Design, Department of Biochemical and Chemical Engineering, TU Dortmund University (Germany))
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