Using deep learning to extend the range of air pollution monitoring and forecasting P Hähnel, J Mareček, J Monteil, F O'Donncha Journal of Computational Physics 408, 109278, 2020 | 61 | 2020 |
Conformal higher spin scattering amplitudes from twistor space T Adamo, P Hähnel, T McLoughlin Journal of High Energy Physics 2017 (4), 1-31, 2017 | 46 | 2017 |
Conformal higher spin theory and twistor space actions P Hähnel, T McLoughlin Journal of Physics A: Mathematical and Theoretical 50 (48), 485401, 2017 | 43 | 2017 |
Deep learning for partial differential equation (PDE) based models F O'donncha, P Haehnel, J Marecek, J Monteil US Patent 11,645,356, 2023 | 8 | 2023 |
On force-field models of the spacecraft flyby anomaly W Hasse, E Birsin, P Hähnel arXiv preprint arXiv:0903.0109, 2009 | 7 | 2009 |
Scaling up deep learning for PDE-based models P Haehnel, J Monteil, J Marecek, F O'Donncha | 2 | 2018 |
Higher Spin Theories in Twistor Space P Hähnel | | 2018 |