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.
C. Keßler, R. Schuldt, S. Emmerling, B. Lotsch, J. Kästner, J. Groß, and N. Hansen. Dataset, (2022)Related to: Kessler, Christopher; Schuldt, Robin, Emmerling, Sebastian; Lotsch, Bettina, Kästner, Johannes; Gross, Joachim, Hansen, Niels: Influence of Layer Slipping on Adsorption of Light Gases in Covalent Organic Frameworks: A Combined Experimental and Computational Study. Microporous and Mesoporous Materials 336 (2022), 111796. doi: 10.1016/j.micromeso.2022.111796.
K. Gugeler, and J. Kästner. Dataset, (2022)Related to: Philipp M. Hauser, Katrin Gugeler, Wolfgang Frey, Johannes Kästner, and Michael R. Buchmeiser. Tungsten Sulfido Alkylidene and Cationic Tungsten Sulfido Alkylidene N-Heterocyclic Carbene Complexes. Organometallics 2021 40 (23), 4026-4034. doi: 10.1021/acs.organomet.1c00577.
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.