| A structure-based platform for predicting chemical reactivity F Sandfort, F Strieth-Kalthoff, M Kühnemund, C Beecks, F Glorius Chem 6 (6), 1379-1390, 2020 | 238 | 2020 |
| Machine learning for chemical reactivity: the importance of failed experiments F Strieth‐Kalthoff, F Sandfort, M Kühnemund, FR Schäfer, H Kuchen, ... Angewandte Chemie International Edition 61 (29), e202204647, 2022 | 129 | 2022 |
| A Structure-Based Platform for Predicting Chemical Reactivity. Chem 2020, 6 (6), 1379–1390 F Sandfort, F Strieth-Kalthoff, M Kühnemund, C Beecks, F Glorius | 6 | |
| An evolutionary algorithm for interpretable molecular representations PM Pflüger, M Kühnemund, F Katzenburg, H Kuchen, F Glorius Chem 10 (5), 1391-1405, 2024 | 3 | 2024 |
| Maschinelles Lernen zur Vorhersage chemischer Reaktivität: Die Bedeutung “gescheiterter” Experimente F Strieth‐Kalthoff, F Sandfort, M Kühnemund, FR Schäfer, H Kuchen, ... Angewandte Chemie 134 (29), e202204647, 2022 | 2 | 2022 |
| A structure-based platform for predicting chemical reactivity F Sandfort, F Strieth-Kalthoff, M Kühnemund, C Beecks, F Glorius | 2 | 2019 |
| Entwicklung und Evaluierung eines Toolkits für das maschinelle Lernen in der organischen Chemie M Kühnemund PQDT-Global, 2023 | | 2023 |
