R. Schuldt, J. Kästner, and S. Naumann. Dataset, (2021)Related to: Schuldt, R., Kästner, J., & Naumann, S. “Proton Affinities of N-Heterocyclic Olefins and Their Implications for Organocatalyst Design.” J. Org. Chem. 84, 2209-2218 (2019). doi: 10.1021/acs.joc.8b03202.
N. Segreto, and J. Kästner. Dataset, (2023)Related to: Nico Segreto, Tim M. Schwarz, Carolin A. Dietrich, Patrick Stender, Robin Schuldt, Guido Schmitz, and Johannes Kästner. Understanding the Underlying Field Evaporation Mechanism of Pure Water Tips in High Electrical Fields. J. Phys. Chem. A 2022, 126, 33, 5663-5671. doi: 10.1021/acs.jpca.2c04163.
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.
V. Zaverkin, D. Holzmüller, I. Steinwart, and J. Kästner. Software, (2021)Related to: V. Zaverkin, D. Holzmüller, I. Steinwart, and J. Kästner, “Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments,” J. Chem. Theory Comput. 17, 6658–6670 (2021). doi: 10.1021/acs.jctc.1c00527.