S. Koppenhöfer. Dataset, (2023)Related to: Simon Koppenhöfer. “Task oriented algorithms for intelligent self propelled micro-agents”. Masterthesis. Stuttgart: Universität Stuttgart, Sep. 01, 2023.
S. Tovey, S. Krippendorf, K. Nikolaou, and C. Holm. Software, (2023)Related to: Tovey, S. J. et al. (2023) ‘Towards a phenomenological understanding of neural networks: data’, Machine Learning: Science and Technology. doi: 10.1088/2632-2153/acf099.
C. Lohrmann, and C. Holm. Software, (2023)Related to: Lohrmann, C. and Holm, C.: A novel model for biofilm initiation in porous media flow (under revision).
C. Lohrmann, and C. Holm. Software, (2023)Related to: Lohrmann, Holm: Öptimal motility strategies for self-propelled agents to explore porous media" (2023). arXiv: arXiv:2302.06709.
D. Beyer, and C. Holm. Software, (2023)Related to: David Beyer and Christian Holm. A Generalized Grand-Reaction Method for Modelling the Exchange of Weak (Polyprotic) Acids between a Solution and a Weak Polyelectrolyte Phase. doi: 10.48550/arXiv.2304.11967.
S. Gravelle, D. Beyer, M. Brito, A. Schlaich, and 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.
S. Gravelle, C. Holm, and 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, C. Holm, and 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.