V. Zaverkin, D. Holzmüller, L. Bonfirraro, and J. Kästner. Dataset, (2023)Related to: Viktor Zaverkin, David Holzmüller, Luca Bonfirraro, Johannes Kästner. Transfer learning for chemically accurate interatomic neural network potentials, Phys. Chem. Chem. Phys., 2023, 25, 5383-5396. doi: 10.1039/D2CP05793J.
L. Keim, H. Class, L. Schirmer, B. Strauch, K. Wendel, and M. Zimmer. Dataset, (2023)Related to: Class, H.; Keim, L.; Schirmer, L.; Strauch, B.; Wendel, K.; Zimmer, M. Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond with Aqueous Concentrations in a Stagnant Water Column. Geosciences 2023, 13, 51. doi: 10.3390/geosciences13020051.
L. Keim, H. Class, L. Schirmer, K. Wendel, B. Strauch, and M. Zimmer. Dataset, (2023)Related to: Class, H.; Keim, L.; Schirmer, L.; Strauch, B.; Wendel, K.; Zimmer, M. Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond with Aqueous Concentrations in a Stagnant Water Column. Geosciences 2023, 13, 51. doi: 10.3390/geosciences13020051.
D. Lee, F. Weinhardt, J. Hommel, H. Class, and H. Steeb. Dataset, (2023)Related to: Lee, D., Weinhardt, F., Hommel, J., Piotrovski, J., Class, H., and Steeb, H. (2022). Machine Learning assists in increasing the time resolution of X-Ray Computed Tomography applied to mineral precipitation on porous media. Scientific Reports, to be submitted.
T. Heinemann, M. Gihr, O. Riedel, and A. Lechler. Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics : ICINCO, page 729-736. Setúbal, SciTePress, (2022)