| PDEBench: An extensive benchmark for scientific machine learning M Takamoto, T Praditia, R Leiteritz, D MacKinlay, F Alesiani, D Pflüger, ... Advances in Neural Information Processing Systems 35, 1596-1611, 2022 | 104 | 2022 |
| How to Avoid Trivial Solutions in Physics-Informed Neural Networks R Leiteritz, D Pflüger arXiv preprint arXiv:2112.05620, 2021 | 15 | 2021 |
| Learning Free-Surface Flow with Physics-Informed Neural Networks R Leiteritz, M Hurler, D Pflüger 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 6 | 2021 |
| Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps K Davis, R Leiteritz, D Pflüger, M Schulte arXiv preprint arXiv:2302.08199, 2023 | 3 | 2023 |
| A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps R Leiteritz, K Davis, M Schulte, D Pflüger arXiv preprint arXiv:2203.14961, 2022 | 3 | 2022 |
| Surrogate-data-enriched Physics-Aware Neural Networks R Leiteritz, P Buchfink, B Haasdonk, D Pflüger arXiv preprint arXiv:2112.05489, 2021 | 2 | 2021 |
