D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2022)Related to: David, Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.
D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2022)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.
J. Kästner, M. Kesharwani, I. Elser, J. Musso, and M. Buchmeiser. Dataset, (2021)Related to: Kesharwani, M. K., Elser, I., Musso, J. V., Buchmeiser, M. R., & Kästner, J. “Reaction Mechanism of Ring-Closing Metathesis with a Cationic Molybdenum Imido Alkylidene N-Heterocyclic Carbene Catalyst.” Organometallics 39, 3146-3159 (2020). doi: 10.1021/acs.organomet.0c00311.
J. Kästner, and M. Kesharwani. Dataset, (2021)Related to: Charge Distribution in Cationic Molybdenum Imido Alkylidene N-Heterocyclic Carbene Complexes: A Combined X-Ray, XAS, XES, DFT, Mössbauer and Catalysis Approach. Mathis Benedikter, Janis Musso, Manoj K. Kesharwani, K. Leonard Sterz, Iris Elser, Felix Ziegler, Felix Fischer, Bernd Plietker, Wolfgang Frey, Johannes Kästner, Mario Winkler, Joris van Slageren, Michal Nowakowski, Matthias Bauer, and Michael R. Buchmeiser. ACS Catalysis 2020, 10, 24, 14810-14823. doi: 10.1021/acscatal.0c03978.
T. Mathea, T. Petrenko, and G. Rauhut. The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment & general theory, 125 (4):
990-998(2021)