M. Buchmeiser, D. Wang, R. Schowner, L. Stöhr, F. Ziegler, S. Sen, and W. Frey. Dataset, (2024)Related to: M. R. Buchmeiser, D. Wang, R. Schowner, L. Stöhr, F. Ziegler, S. Sen, W. Frey,; Synthetic and Structural Peculiarities of Neutral and Cationic Molybdenum Imido and Tungsten Oxo Alkylidene Complexes Bearing Weakly Coordinating N-Heterocyclic Carbenes; Eur. J. Inorg. Chem., in press (2024). doi: 10.1002/ejic.202400082.
P. Probst, J. Groos, D. Wang, K. Gugeler, A. Beck, J. Kästner, W. Frey, and M. Buchmeiser. Dataset, (2024)Related to: Patrick Probst, Jonas Groos, Dongren Wang, Alexander Beck, Katrin Gugeler, Johannes Kästner, Wolfgang Frey, and Michael R. Buchmeiser, Stereoselective Ring Expansion Metathesis Polymerization with Cationic Molybdenum Alkylidyne N-Heterocyclic Carbene Complexes, Journal of the American Chemical Society 2024 146 (12), 8435-8446. doi: 10.1021/jacs.3c14457.
J. Musso, M. Benedikter, P. Gebel, I. Elser, W. Frey, and M. Buchmeiser. Dataset, (2021)Related to: Janis V. Musso, Mathis J. Benedikter, Paul Gebel, Iris Elser, Wolfgang Frey, and Michael R. Buchmeiser. Synthesis of Tungsten(VI) Imido Alkylidene Bispyrrolide Complexes via the Isocyanate Route. Organometallics 2020 39 (17), 3072-3076. doi: 10.1021/acs.organomet.0c00435.
J. Musso, R. Schowner, W. Frey, and M. Buchmeiser. Dataset, (2021)Related to: R. Schowner, J. V. Musso, W. Frey, M. R. Buchmeiser. Cationic Tungsten Imido Alkylidene N-Heterocyclic Carbene Complexes That Contain Bulky Ligands, Organometallics 2021, 40, 3145-3157. doi: 10.1021/acs.organomet.1c00373.
C. Lohoff, and P. Buchholz. Dataset, (2020)Related to: Lohoff C., Buchholz P. C. F., Le Roes-Hill M. & Pleiss J. (2020). The Expansin Engineering Database: a navigation and classification tool for expansins and homologues. Proteins: Structure, Function, and Bioinformatics 89:2. doi: 10.1002/prot.26001.
P. Buchholz. Dataset, (2020)Related to: Lohoff C., Buchholz P. C. F., Le Roes-Hill M. & Pleiss J. (2020). The Expansin Engineering Database: a navigation and classification tool for expansins and homologues. Proteins: Structure, Function, and Bioinformatics 89:2. doi: 10.1002/prot.26001.
C. Lohoff. Dataset, (2020)Related to: Lohoff C., Buchholz P. C. F., Le Roes-Hill M. & Pleiss J. (2020). The Expansin Engineering Database: a navigation and classification tool for expansins and homologues. Proteins: Structure, Function, and Bioinformatics 89:2. doi: 10.1002/prot.26001.
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.
M. Dyballa. Dataset, (2021)Related to: M. Dyballa, C. Rieg, D. Dittmann, Z. Li, M. Buchmeiser, B. Plietker, M. Hunger (2020), "Potential of triphenylphosphine as solid-state NMR probe for studying the noble metal distribution on porous supports", Microporous and Mesoporous Materials, Volume 293, (109778). doi: 10.1016/j.micromeso.2019.109778.
M. Schnierle, M. Leimkühler, and M. Ringenberg. Dataset, (2021)Related to: Inorganic Chemistry: year 2021, Vol. 60, Iss. 9, Pages 6367-6374. doi: 10.1021/acs.inorgchem.1c00094.