A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs B Haasdonk, H Kleikamp, M Ohlberger, F Schindler, T Wenzel SIAM Journal on Scientific Computing 45 (3), A1039-A1065, 2023 | 16 | 2023 |
Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery T Keil, H Kleikamp, RJ Lorentzen, MB Oguntola, M Ohlberger Advances in Computational Mathematics 48 (6), 73, 2022 | 7 | 2022 |
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling T Wenzel, B Haasdonk, H Kleikamp, M Ohlberger, F Schindler arXiv preprint arXiv:2302.14526, 2023 | 2 | 2023 |
Nonlinear model order reduction using diffeomorphic transformations of a space-time domain H Kleikamp, M Ohlberger, S Rave arXiv preprint arXiv:2203.05833, 2022 | 2 | 2022 |
Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems H Kleikamp, M Lazar, C Molinari arXiv preprint arXiv:2307.15590, 2023 | 1 | 2023 |
Application of an adaptive model hierarchy to parametrized optimal control problems H Kleikamp arXiv preprint arXiv:2402.10708, 2024 | | 2024 |