| Learning to control pdes with differentiable physics P Holl, V Koltun, N Thuerey arXiv preprint arXiv:2001.07457, 2020 | 50 | 2020 |
| Holography of wi-fi radiation PM Holl, F Reinhard Physical review letters 118 (18), 183901, 2017 | 46 | 2017 |
| Solver-in-the-loop: Learning from differentiable physics to interact with iterative PDE-solvers K Um, R Brand, P Holl, N Thuerey arXiv preprint arXiv:2007.00016, 2020 | 25 | 2020 |
| Deep learning based pulse shape discrimination for germanium detectors P Holl, L Hauertmann, B Majorovits, O Schulz, M Schuster, AJ Zsigmond The European Physical Journal C 79 (6), 1-9, 2019 | 14 | 2019 |
| Physics-based Deep Learning N Thuerey, P Holl, M Mueller, P Schnell, F Trost, K Um arXiv preprint arXiv:2109.05237, 2021 | 1 | 2021 |
| Physical Gradients for Deep Learning P Holl, V Koltun, N Thuerey arXiv preprint arXiv:2109.15048, 2021 | | 2021 |
| Learning Time-Aware Assistance Functions for Numerical Fluid Solvers K Um, YR Fei, P Holl, N Thuerey | | 2020 |
| phiflow: A Differentiable PDE Solving Framework for Deep Learning via Physical Simulations P Holl, V Koltun, K Um, TP LTCI, IP Paris, N Thuerey NeurIPS Workshop, 2020 | | 2020 |
| Differentiable Physics for Improving the Accuracy of Iterative PDE-Solvers with Neural Networks K Um, YR Fei, P Holl, R Brand, N Thuerey | | |
