D. Markthaler, J. Zeman, J. Baz, J. Smiatek, and N. Hansen. The journal of physical chemistry. B, Condensed matter, materials, surfaces, interfaces & biophysical, 121 (47):
10674-10688(2017)
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).
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.
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)
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.
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.
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.