| Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks T Berkemeier, M Krüger, A Feinberg, M Müller, U Pöschl, UK Krieger Geoscientific Model Development 16 (7), 2037-2054, 2023 | 14 | 2023 |
| Convolutional neural network prediction of molecular properties for aerosol chemistry and health effects M Krüger, J Wilson, M Wietzoreck, BAM Bandowe, G Lammel, B Schmidt, ... Natural Sciences 2 (4), e20220016, 2022 | 11 | 2022 |
| Statistical guidelines for quality control of next-generation sequencing techniques M Sprang, M Krüger, MA Andrade-Navarro, JF Fontaine Life Science Alliance 4 (11), 2021 | 5 | 2021 |
| Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks T Berkemeier, M Krüger, A Feinberg, M Müller, U Pöschl, UK Krieger Egusphere 2022, 1-26, 2022 | 4 | 2022 |
| A numerical compass for experiment design in chemical kinetics and molecular property estimation M Krüger, A Mishra, P Spichtinger, U Pöschl, T Berkemeier Journal of Cheminformatics 16 (1), 34, 2024 | 1 | 2024 |
| Exploring aerosol size distributions from polar to tropical zones of the Atlantic Ocean SS Raj, IH de Angelis, S Basic, HM Aardema, HA Slagter, J Weber, ... EGU24, 2024 | | 2024 |
| Supplementary Information for a kinetic compass for the design of experiments to determine kinetic parameters M Krüger, A Mishra, P Spichtinger, U Pöschl, T Berkemeier | | |
