F. Ziegler, J. Bruckner, M. Nowakowski, M. Bauer, P. Probst, B. Atwi, und M. Buchmeiser. Dataset, (2023)Related to: Ziegler, F., Bruckner, J. R., Nowakowski, M., Bauer, M., Probst, P., Atwi, B., Buchmeiser, M. R., Macrocyclization of Dienes under Confinement with Cationic Tungsten Imido/Oxo Alkylidene N-Heterocyclic Carbene Complexes. ChemCatChem 2023, e202300871. doi: 10.1002/cctc.202300871.
F. Ziegler, M. Benedikter, und D. Wang. Dataset, (2021)Related to: Felix Ziegler, Hamzeh Kraus, Mathis J. Benedikter, Dongren Wang, Johanna R. Bruckner, Michal Nowakowski, Kilian Weißer, Helena Solodenko, Guido Schmitz, Matthias Bauer, Niels Hansen, and Michael R. Buchmeiser, Confinement Effects for Efficient Macrocyclization Reactions with Supported Cationic Molybdenum Imido Alkylidene N-Heterocyclic Carbene Complexes, ACS Catalysis 2021, 11, 18, 11570-11578. doi: 10.1021/acscatal.1c03057.
F. Ziegler. Dataset, (2021)Related to: Felix Ziegler, Thomas Roider, Markus Pyschik, Christian P. Haas, Dongren Wang, Ulrich Tallarek, and Michael R. Buchmeiser. Olefin Ring-closing Metathesis under Spatial Confinement and Continuous Flow. ChemCatChem, 2021, 13, 2234-2241. doi: 10.1002/cctc.202001993.
F. Ziegler. Dataset, (2020)Related to: Felix Ziegler, Johannes Teske, Iris Elser, Michael Dyballa, Wolfgang Frey, Hamzeh Kraus, Niels Hansen, Julia Rybka, Ulrich Tallarek, Michael R. Buchmeiser. Olefin Metathesis in Confined Geometries: A Biomimetic Approach toward Selective Macrocyclization. Journal of the American Chemical Society 2019, 141 (48), 19014-19022. doi: 10.1021/jacs.9b08776.
R. Zenn, E. Abad, und J. Kästner. The Journal of physical chemistry. B, Condensed matter, materials, surfaces, interfaces & biophysical chemistry, 119 (9):
3678-3686(2015)
C. Zeil, und P. Buchholz. Dataset, (2020)Related to: Maike Gräff, Patrick C. F. Buchholz, Marilize Le Roes-Hill & Jürgen Pleiss (2020): Multicopper oxidases: Modular structure, sequence space and evolutionary relationships. (submitted).
V. Zaverkin, D. Holzmüller, I. Steinwart, und 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.
V. Zaverkin, D. Holzmüller, L. Bonfirraro, und 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.