J. Potyka, und K. Schulte. Dataset, (2023)Related to: Johanna Potyka and Kathrin Schulte: A volume of fluid method for three dimensional direct numerical simulations of immiscible droplet collisions, International Journal of Multiphase Flow, Volume 170, 2024, 104654. doi: 10.1016/j.ijmultiphaseflow.2023.104654.
N. Segreto, und 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.
J. Musso, V. Gramm, S. Stein, W. Frey, und M. Buchmeiser. Dataset, (2023)Related to: Musso, J., Gramm, V., Stein, S., Frey, W. and Buchmeiser, M..R. (2022), Molybdenum Alkylidyne Silyloxy N-Heterocyclic Carbene Complexes - Highly Active Alkyne Metathesis Catalysts that can be Handled in Air. Eur. J. Inorg. Chem. 2023, 26, e202200649. doi: 10.1002/ejic.202200649.
S. Gravelle, C. Holm, und A. Schlaich. Software, (2023)Related to: Simon Gravelle, Sabina Haber-Pohlmeier, Carlos Mattea, Siegfried Stapf, Christian Holm and Alexander Schlaich: NMR Investigation of Water in Salt Crusts: Insights from Experiments and Molecular Simulations, ChemRxiv, 2023. doi: 10.26434/chemrxiv-2023-6dml7.
P. Rodegast, S. Maier, J. Kneifl, und J. Fehr. Software, (2023)Related to: Rodegast, P., Maier, S., Kneifl, J., Fehr, J.: On using Machine Learning Algorithms for Motorcycle Collision Detection, 2023. tbd.
M. Gil Pérez, P. Mindermann, C. Zechmeister, D. Forster, Y. Guo, S. Hügle, F. Kannenberg, L. Balangé, V. Schwieger, P. Middendorf und 4 andere Autor(en). Dataset, (2023)Related to: Gil Pérez, M., Mindermann, P., Zechmeister, C., Forster, D., Guo, Y., Hügle, S., Kannenberg, F., Balangé, L., Schwieger, V., Middendorf, P., Bischoff, M., Menges, A., Gresser, G. T. & Knippers, J. (2023). Data processing, analysis, and evaluation methods for co-design of coreless filament-wound building systems. Journal of Computational Design and Engineering, 10, 1460-1478. doi: 10.1093/jcde/qwad064.
M. Ruf, D. Lee, und H. Steeb. Dataset, (2023)Related to: Ruf, M., Lee, D., & Steeb, H. (2023). A multifunctional mechanical testing stage for micro X-ray computed tomography. Review of Scientific Instruments, 94, 085115. doi: 10.1063/5.0153042.
M. Rosenfelder, H. Ebel, und P. Eberhard. Dataset, (2023)Related to: Rosenfelder, M., Ebel, H., Eberhard, P. (2023). Force-based organization and control scheme for the non-prehensile cooperative transportation of objects. Robotica, pp. 1-14, 2023. doi: 10.1017/S0263574723001704.
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.
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
M. Steffen. Dataset, (2023)Related to: Maier, S.: Simulation of a Novel Restraint Safety Concept for Motorcycles, Dissertation, University of Stuttgart, Shaker Verlag, Aachen, tbd.
S. Gravelle, C. Holm, und A. Schlaich. Software, (2023)Related to: Simon Gravelle, Sabina Haber-Pohlmeier, Carlos Mattea, Siegfried Stapf, Christian Holm and Alexander Schlaich: NMR Investigation of Water in Salt Crusts: Insights from Experiments and Molecular Simulations, ChemRxiv, 2023. doi: 10.26434/chemrxiv-2023-6dml7.
S. Gravelle, D. Beyer, M. Brito, A. Schlaich, und C. Holm. Software, (2023)Related to: Simon Gravelle, David Beyer, Mariano Brito, Alexander Schlaich, Christian Holm: Reconstruction of NMR Relaxation Rates from Coarse-Grained Polymer Simulations, ChemRxiv, 2022. Preprint. doi: 10.26434/chemrxiv-2022-f90tv-v2.