Artur M. Schweidtmann

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

Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm

Eric Bradford, Artur M. Schweidtmann, Alexei A. Lapkin · Journal of Global Optimization · 2018 · 271 citations · Full text

Computing, Computer Science, Algorithms +16

Machine Learning in Chemical Engineering: A Perspective

Artur M. Schweidtmann, Erik Esche, Asja Fischer et al. · Chemie Ingenieur Technik · 2021 · 266 citations · Full text

Computing, Chemical Engineering, Chemistry +12

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

Machine learning and molecular descriptors enable rational solvent selection in asymmetric catalysis

Yehia Amar, Artur M. Schweidtmann, Paul Deutsch et al. · Chemical Science · 2019 · 139 citations · Full text

Natural Sciences, Chemical Engineering, Chemistry +16