K. Herrmann, W. Zhao, S. Höpfl, and J. Reichenbach. Dataset, (2024)Related to: Sebastian Höpfl, Mohamed Albadry, Uta Dahmen, Karl-Heinz Herrmann, Eva Marie Kindler, Matthias König, Jürgen Rainer Reichenbach, Hans-Michael Tautenhahn, Weiwei Wei, Wan-Ting Zhao, and Nicole Erika Radde: Bayesian Modelling of Time Series Data (BayModTS) - A FAIR Workflow to Process Sparse and Highly Variable Data.
C. Homs Pons, and R. Lautenschlager. Software, (2024)Related to: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models, submitted to GAMM Mitteilungen.
R. Herkert. Software, (2024)Related to: R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, J. Fehr. (2024), "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". arXiv: 2405.10465.
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.
J. Körber, and J. Heiler. Dataset, (2024)Related to: Jonathan Körber, Jonah Heiler, Erik Hesselmeier et al. Spectral stability of V2-centres in sub-micron 4H-SiC membranes, 2024. doi: 10.1038/s41535-024-00644-4.
N. Makki, N. Lang, and H. Büchler. Dataset, (2024)Related to: Makki, Nastasia, Lang, Nicolai & Büchler, Hans Peter (2024). Absorbing state phase transition with Clifford circuits. Phys. Rev. Res. 6, 013278. doi: 10.1103/PhysRevResearch.6.013278.
J. Rettberg, D. Wittwar, P. Buchfink, A. Brauchler, P. Ziegler, J. Fehr, and B. Haasdonk. Dataset, (2023)Related to: Rettberg, J.; Wittwar, D.; Buchfink, P.; Brauchler, A.; Ziegler, P.; Fehr, J.; Haasdonk, B.: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. Mathematical and Computer Modelling of Dynamical Systems, 2023. doi: 10.1080/13873954.2023.2173238.
S. Ceron, G. Gardi, K. Petersen, and M. Sitti. Proceedings of the National Academy of Sciences of the United States of America, 120 (24):
e2221913120(2023)
A. Squarcini, A. Maciołek, E. Eisenriegler, and S. Dietrich. Journal of statistical mechanics: theory and experiment, 2023 (August):
089901(2023)Correction to: https://doi.org/10.1088/1742-5468/ab7658.
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. Wang, and S. Nußberger. Dataset, (2023)Related to: Shuo Wang, Stephan Nussberger, Tracking the activity and position of mitochondrial beta-barrel proteins, In: Membrane beta-barrel proteins: Methods and Protocols, Ieva, R. ed., Springer Protocols - Methods in Molecular Biology, in press (2023).
F. Huber, P. Bürkner, D. Göddeke, and M. Schulte. Dataset, (2023)Related to: Huber, Felix; Bürkner, Paul-Christian; Göddeke, Dominik; Schulte, MiriamKnowledge-Based Modeling of Simulation Behavior for Bayesian OptimizationComputational Mechanics (submitted).