J. Jung, P. Srinivasan, A. Forslund, and B. Grabowski. Dataset, (2023)Related to: J. H. Jung, P. Srinivasan, A. Forslund, and B. Grabowski, "High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials", npj Comput. Mater. 9, 3 (2023). doi: 10.1038/s41524-022-00956-8.
A. Jeltsch, and J. Broche. Dataset, (2023)Related to: Broche et al., Genome-wide deposition of 6-methyladenine in human DNA reduces the viability of HEK293 cells and directly influences gene expression, Communications Biology, in press.
C. Rieg, and M. Dyballa. Dataset, (2023)Related to: Carolin Rieg, Manuel Kirchhof, Katrin Gugeler, Ann-Katrin Beurer, Lukas Stein, Klaus Dirnberger, Wolfgang Frey, Johanna R. Bruckner, Yvonne Traa, Johannes Kästner, Sabine Ludwigs, Sabine Laschat, Michael Dyballa. Determination of accessibility and spatial distribution of chiral Rh diene complexes immobilized on SBA-15 via phosphine-based solid-state NMR probe molecules. Catal. Sci. Technol. 2022, Advance Article. doi: 10.1039/D2CY01578A.
D. Häussermann. Dataset, (2023)Related to: Häussermann, D.; Schömig, R.; Gehring, B.; Traa, Y. Influence of the Synthesis Protocol on the Catalytic Performance of PHI-Type Zeolites for the Dehydration of Lactic Acid. Catalysts 2023, 13, 261. doi: 10.3390/catal13020261.
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.