J. Kühnert, D. Göddeke, and M. Herschel. 13th International Workshop on Theory and Practice of Provenance, page 1-4. Red Hook, Curran Associates, Inc., (2021)
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.
J. Schmalfuss, C. Riethmüller, M. Altenbernd, K. Weishaupt, and D. Göddeke. Presentations and Plenary videos to 9th edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2021), Barcelona, Scipedia, S.L., (2021)
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).
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).
R. Herkert. Software, (2023)Related to: R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, J. Fehr: Randomized Symplectic Model Order Reduction for Hamiltonian Systemsm 2023. arXiv: 2303.04036.
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.
D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2023)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2023. arXiv: 2203.09410.
J. Fehr, D. Grunert, A. Bhatt, and B. Haasdonk. 89th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 18, 1, page e201800275. Wiley, (2018)
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.