| Goal‐Oriented Two‐Layered Kernel Models as Automated Surrogates for Surface Kinetics in Reactor Simulations F Döppel, T Wenzel, R Herkert, B Haasdonk, M Votsmeier Chemie Ingenieur Technik, 2024 | 4 | 2024 |
| Dictionary-based online-adaptive structure-preserving model order reduction for parametric Hamiltonian systems R Herkert, P Buchfink, B Haasdonk Advances in Computational Mathematics 50 (1), 12, 2024 | 3 | 2024 |
| Improved a posteriori error bounds for reduced port-hamiltonian systems J Rettberg, D Wittwar, P Buchfink, R Herkert, J Fehr, B Haasdonk arXiv preprint arXiv:2303.17329, 2023 | 2 | 2023 |
| Randomized Symplectic Model Order Reduction for Hamiltonian Systems R Herkert, P Buchfink, B Haasdonk, J Rettberg, J Fehr International Conference on Large-Scale Scientific Computing, 99-107, 2023 | 1 | 2023 |
| Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data R Herkert, P Buchfink, T Wenzel, B Haasdonk, P Toktaliev, O Iliev arXiv preprint arXiv:2405.19170, 2024 | | 2024 |
| Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems R Herkert, P Buchfink, B Haasdonk, J Rettberg, J Fehr arXiv preprint arXiv:2405.10465, 2024 | | 2024 |
