S. Tovey, C. Lohrmann, and C. Holm. Dataset, (2024)Related to: Tovey, Samuel James and Lohrmann, Christoph and Holm, Christian, Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning, Machine Learning: Science and Technology, 2024. doi: 10.1088/2632-2153/ad5f73.
P. Stärk, and A. Schlaich. Software, (2024)Related to: Artemov, V.; Frank, L.; Doronin, R.; Stärk, P.; Schlaich, A.; Andreev, A.; Leisner, T.; Radenovic, A.; Kiselev, A. The Three-Phase Contact Potential Difference Modulates the Water Surface Charge. J. Phys. Chem. Lett. 2023, 14, 4796-4802. doi: 10.1021/acs.jpclett.3c00479.
J. Finkbeiner, S. Tovey, and C. Holm. Dataset, (2024)Related to: Jan Finkbeiner, Samuel Tovey, Christian Holm: Generating Minimal Training Sets for Machine Learned Potentials (2023). arXiv: 2309.03840.
E. Słyk, T. Skóra, and S. Kondrat. The journal of physical chemistry. B, Condensed matter, materials, surfaces, interfaces & biophysical chemistry, 127 (34):
7442-7448(2023)
I. Tischler, A. Schlaich, and C. Holm. Software, (2023)Related to: Ingo Tischler, Alexander Schlaich, Christian Holm. Disentanglement of Surface and Confinement Effects for Diene Metathesis in Mesoporous Confinement. ACS Omega 2023. doi: 10.1021/acsomega.3c06195.
C. Lohrmann, and C. Holm. Software, (2023)Related to: Lohrmann, Holm, Datta: Influence of bacterial motility and hydrodynamics on phage bacteria encounters, to be submitted.
J. Yang, S. Kondrat, C. Lian, H. Liu, A. Schlaich, and C. Holm. Dataset, (2023)Related to: J. Yang, S. Kondrat, C. Lian, H. Liu, A. Schlaich, und C. Holm, „Solvent Effects on Structure and Screening in Confined Electrolytes“, Phys. Rev. Lett., Bd. 131, Nr. 11, 118201, Sep. 2023. doi: 10.1103/PhysRevLett.131.118201.
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: "Optimal 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.