| DNN-MG: A hybrid neural network/finite element method with applications to 3D simulations of the Navier–Stokes equations N Margenberg, R Jendersie, C Lessig, T Richter Computer Methods in Applied Mechanics and Engineering 420, 116692, 2024 | 4 | 2024 |
| Deep neural networks for geometric multigrid methods N Margenberg, R Jendersie, T Richter, C Lessig arXiv preprint arXiv:2106.07687, 2021 | 4 | 2021 |
| NeuroPNM: Model reduction of pore network models using neural networks R Jendersie, A Mjalled, X Lu, L Reineking, A Kharaghani, M Mönnigmann, ... Particuology 86, 239-251, 2024 | 2 | 2024 |
| Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core R Jendersie, C Lessig, T Richter arXiv preprint arXiv:2402.00466, 2024 | | 2024 |
| A comparison of numerical methods for model reduction of dense discrete-time systems R Jendersie, SWR Werner at-Automatisierungstechnik 69 (8), 683-694, 2021 | | 2021 |
| Hybrid Finite Element/Neural Network Simulations R Jendersie, U Kapustsin, U Kaya, C Lessig, N Margenberg, D Hartmann | | |
