Publications

Moritz Schneider, Daniel Born, Johannes Kästner, and Guntram Rauhut. Positioning of grid points for spanning potential energy surfaces–How much effort is really needed?. J. Chem. Phys., (158)14:144118, 2023. [PUMA: myown theoretische EXC2075 stuttgart from:danielborn chemie kaestner pn3 kästner rauhut theochem] URL

Viktor Zaverkin, David Holzmüller, Luca Bonfirraro, and Johannes Kästner. Transfer learning for chemically accurate interatomic neural network potentials. Phys. Chem. Chem. Phys., (25)7:5383-5396, 2023. [PUMA: chemie kaestner kästner pn6 theoretische EXC2075 stuttgart from:danielborn theochem]

Viktor Zaverkin, David Holzmüller, Ingo Steinwart, and Johannes Kästner. Exploring chemical and conformational spaces by batch mode deep active learning. Digital Discovery, (1):605-620, 2022. [PUMA: chemie kaestner kästner pn6 theoretische EXC2075 stuttgart from:danielborn theochem]

Molpeceres, G., Kästner, J., Herrero, V. J., Peláez, R. J., and Maté, B.. Desorption of organic molecules from interstellar ices, combining experiments and computer simulations: Acetaldehyde as a case study. Astron. Astrophys., (664):A169, 2022. [PUMA: chemie kaestner pn3 kästner theoretische EXC2075 stuttgart from:danielborn theochem]

Molpeceres, G., Jiménez-Serra, I., Oba, Y., Nguyen, T., Watanabe, N., de la Concepción, J. García, Maté, B., Oliveira, R., and Kästner, J.. Hydrogen abstraction reactions in formic and thioformic acid isomers by hydrogen and deuterium atoms. Astron. Astrophys., (663):A41, 2022. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische]

Viktor Zaverkin, Germán Molpeceres, and Johannes Kästner. Neural-network assisted study of nitrogen atom dynamics on amorphous solid water – II. Diffusion. Mon. Not. R. Astron. Soc., (510)2:3063-3070, 2022. [PUMA: theoretische EXC2075 stuttgart from:danielborn chemie kaestner kästner pn6 theochem] URL

Viktor Zaverkin, Julia Netz, Fabian Zills, Andreas Köhn, and Johannes Kästner. Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning Based on Gaussian Moments. J. Chem. Theory Comput., (18):1-12, 2022. [PUMA: EXC2075 chemie from:danielborn kaestner koehn kästner köhn pn6 stuttgart theochem theoretische] URL

Viktor Zaverkin, Germán Molpeceres, and Johannes Kästner. Neural-network assisted study of nitrogen atom dynamics on amorphous solid water – II. Diffusion. Mon. Not. R. Astron. Soc., (510)2:3063-3070, 2021. [PUMA: theoretische EXC2075 stuttgart from:danielborn chemie kaestner kästner pn6 theochem] URL

Daniel Born, and Johannes Kästner. Geometry Optimization in Internal Coordinates Based on Gaussian Process Regression: Comparison of Two Approaches. J. Chem. Theory Comput., (17)9:5955-5967, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische] URL

April M Miksch, Tobias Morawietz, Johannes Kästner, Alexander Urban, and Nongnuch Artrith. Strategies for the construction of machine-learning potentials for accurate and efficient atomic-scale simulations. Mach. Learn.: Sci. Technol., (2):031001, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn6 stuttgart theochem theoretische] URL

Viktor Zaverkin, David Holzmüller, Ingo Steinwart, and Johannes Kästner. Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments. J. Chem. Theory Comput., (17)10:6658-6670, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn6 stuttgart theochem theoretische] URL

Marvin Titze, Juliane Heitkämper, Thorsten Junge, Johannes Kästner, and Ren\´e Peters. Highly Active Cooperative Lewis Acid—Ammonium Salt Catalyst for the Enantioselective Hydroboration of Ketones. Angew. Chem. Int. Ed., (60)10:5544-5553, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische] URL

V. Zaverkin, and J. Kästner. Exploration of transferable and uniformly accurate neural network interatomic potentials using optimal experimental design. Mach. Learn.: Sci. Technol., (2):035009, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn6 stuttgart theochem theoretische] URL

April M Miksch, Annalena Riffelt, Ricardo Oliveira, Johannes Kästner, and German Molpeceres. Hydrogenation of small aromatic heterocycles at low temperatures. Mon. Not. R. Astron. Soc., (505)3:3157-3164, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische] URL

Saravanakumar Murugan, Sina V. Klostermann, Wolfgang Frey, Johannes Kästner, and Michael R. Buchmeiser. A sodium bis(perfluoropinacol) borate-based electrolyte for stable, high-performance room temperature sodium-sulfur batteries based on sulfurized poly(acrylonitrile). Electrochem. commun., (132):107137, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische] URL

G. Molpeceres, and Johannes Kästner. Computational Study of the Hydrogenation Sequence of the Phosphorous Atom on Interstellar Dust Grains. Astrophys. J., (910):55, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische] URL

G. Molpeceres, V. Zaverkin, N. Watanabe, and J. Kästner. Binding energies and sticking coefficients of H₂ on crystalline and amorphous CO ice. Astron. Astrophys., (648):A84, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische] URL

Sebastian T. Emmerling, Robin Schuldt, Sebastian Bette, Liang Yao, Robert E. Dinnebier, Johannes Kästner, and Bettina V. Lotsch. Interlayer Interactions as Design Tool for Large-Pore COFs. J. Am. Chem. Soc., (143)38:15711-15722, 2021. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische] URL

A.M. Cooper, J. Kästner, A. Urban, and N. Artrith. Efficient training of ANN potentials by including atomic forces via Taylor expansion and application to water and a transition-metal oxide. Npj Comput. Mater., (6):54, 2020. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische] URL

Alexander Denzel, and Johannes Kästner. Hessian Matrix Update Scheme for Transition State Search Based on Gaussian Process Regression. J. Chem. Theory Comput., (16):5083-5089, 2020. [PUMA: EXC2075 chemie from:danielborn kaestner kästner pn3 stuttgart theochem theoretische] URL