| -Net: a generic deep learning-based time stepper for parameterized spatio-temporal dynamics M Stender, J Ohlsen, H Geisler, A Chabchoub, N Hoffmann, A Schlaefer Computational Mechanics 71 (6), 1227-1249, 2023 | 5 | 2023 |
| Simulation of the dynamic behavior of viscoelastic structures with random material parameters using time-separated stochastic mechanics H Geisler, J Nagel, P Junker International Journal of Solids and Structures 259, 112012, 2022 | 4 | 2022 |
| Time-separated stochastic mechanics for the simulation of viscoelastic structures with local random material fluctuations H Geisler, P Junker Computer Methods in Applied Mechanics and Engineering 407, 115916, 2023 | 2 | 2023 |
| Uncertainty quantification for viscoelastic composite materials using time-separated stochastic mechanics H Geisler, P Junker Probabilistic Engineering Mechanics 76, 103618, 2024 | | 2024 |
| A new paradigm for the efficient inclusion of stochasticity in engineering simulations H Geisler, C Erdogan, J Nagel, P Junker arXiv preprint arXiv:2311.12636, 2023 | | 2023 |
| On the dynamic simulation of viscoelastic structures with random material properties using time‐separated stochastic mechanics H Geisler, J Nagel, P Junker PAMM 22 (1), e202200127, 2023 | | 2023 |
Philipp JunkerLeibniz Universität HannoverVerified email at ikm.uni-hannover.de
