Publikationen von Matteo Krüger

Krüger, M., Mishra, A., Spichtinger , P., Pöschl, U. und Berkemeier, T.: A numerical compass for experiment design in chemical kinetics and molecular property estimation, Journal of Cheminformatics, 16, doi: 10.1186/s13321-024-00825-0, 2024.

Berkemeier, T., Krüger, M., Feinberg, A., Müller, M., Pöschl, U. und Krieger, U. K.: Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks, Geoscientific Model Development, 16(7), 2037–2054, doi:10.5194/gmd-16-2037-2023, 2023.

Krüger, M., Wilson, J., Wietzoreck, M., Bandowe, B. A. M., Lammel, G., Schmidt, B., Pöschl, U. und Berkemeier, T.: Convolutional neural network prediction of molecular properties for aerosol chemistry and health effects, Natural Sciences, 2, doi:10.1002/ntls.20220016, 2022.

Raj, S. S., Hrabe de Angelis, I., Basic, S., Aardema, H. M., Slagter, H. A., Weber, J., Calleja, M. L., Krüger, M., Andreae, M. O., Dragoneas, A., Nillius, B., Walter, D., Berkemeier, T., Haug, G. H., Pöschl, U., Schiebel, R. und Pöhlker, C.: Exploring aerosol size distributions from polar to tropical zones of the Atlantic Ocean, in EGU General Assembly 2024, Vienna, Austria & Online., 2024.

Krüger, M., Mishra, A., Spichtinger , P., Pöschl, U. und Berkemeier, T.: A kinetic compass for the design of experiments to determine kinetic parameters, Research Square, doi:10.21203/rs.3.rs-3317747/v1, 2023.

Berkemeier, T., Krüger, M., Feinberg, A., Müller, M., Pöschl, U. und Krieger, U. K.: Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks, EGUsphere, doi:10.5194/egusphere-2022-1093, 2022.