| WeatherBench: a benchmark data set for data‐driven weather forecasting S Rasp, PD Dueben, S Scher, JA Weyn, S Mouatadid, N Thuerey Journal of Advances in Modeling Earth Systems 12 (11), e2020MS002203, 2020 | 766 | 2020 |
| Deep learning methods for Reynolds-averaged Navier–Stokes simulations of airfoil flows N Thuerey, K Weißenow, L Prantl, X Hu AIAA journal 58 (1), 25-36, 2020 | 747 | 2020 |
| Deep fluids: A generative network for parameterized fluid simulations B Kim, VC Azevedo, N Thuerey, T Kim, M Gross, B Solenthaler Computer graphics forum 38 (2), 59-70, 2019 | 571 | 2019 |
| tempoGAN: A temporally coherent, volumetric GAN for super-resolution fluid flow Y Xie, A Franz, M Chu, N Thuerey ACM Transactions on Graphics (TOG) 37 (4), 1-15, 2018 | 517 | 2018 |
| Lattice Boltzmann model for free surface flow for modeling foaming C Körner, M Thies, T Hofmann, N Thürey, U Rüde Journal of statistical Physics 121 (1), 179-196, 2005 | 401 | 2005 |
| Neural scene graphs for dynamic scenes J Ost, F Mannan, N Thuerey, J Knodt, F Heide Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 396 | 2021 |
| Latent space physics: Towards learning the temporal evolution of fluid flow S Wiewel, M Becher, N Thuerey Computer graphics forum 38 (2), 71-82, 2019 | 392 | 2019 |
| Learning temporal coherence via self-supervision for GAN-based video generation M Chu, Y Xie, J Mayer, L Leal-Taixé, N Thuerey ACM Transactions on Graphics (TOG) 39 (4), 75: 1-75: 13, 2020 | 388* | 2020 |
| Solver-in-the-loop: Learning from differentiable physics to interact with iterative pde-solvers K Um, R Brand, YR Fei, P Holl, N Thuerey Advances in neural information processing systems 33, 6111-6122, 2020 | 378 | 2020 |
| Wavelet turbulence for fluid simulation T Kim, N Thürey, D James, M Gross ACM Transactions on Graphics (TOG) 27 (3), 1-6, 2008 | 338 | 2008 |
| Data‐driven medium‐range weather prediction with a resnet pretrained on climate simulations: A new model for weatherbench S Rasp, N Thuerey Journal of Advances in Modeling Earth Systems 13 (2), e2020MS002405, 2021 | 286 | 2021 |
| Lagrangian fluid simulation with continuous convolutions B Ummenhofer, L Prantl, N Thuerey, V Koltun International conference on learning representations, 2019 | 267 | 2019 |
| Learning to control pdes with differentiable physics P Holl, V Koltun, N Thuerey arXiv preprint arXiv:2001.07457, 2020 | 258 | 2020 |
| Data-driven synthesis of smoke flows with CNN-based feature descriptors M Chu, N Thuerey ACM Transactions on Graphics (TOG) 36 (4), 1-14, 2017 | 228 | 2017 |
| Physics-based deep learning N Thuerey, P Holl, M Mueller, P Schnell, F Trost, K Um arXiv preprint arXiv:2109.05237, 2021 | 214 | 2021 |
| Deforming meshes that split and merge C Wojtan, N Thürey, M Gross, G Turk ACM SIGGRAPH 2009 papers, 1-10, 2009 | 198 | 2009 |
| Detail-preserving fluid control N Thürey, R Keiser, M Pauly, U Rüde Graphical Models 71 (6), 221-228, 2009 | 184 | 2009 |
| Highly adaptive liquid simulations on tetrahedral meshes R Ando, N Thürey, C Wojtan ACM Transactions on Graphics (TOG) 32 (4), 1-10, 2013 | 168 | 2013 |
| A multiscale approach to mesh-based surface tension flows N Thürey, C Wojtan, M Gross, G Turk ACM Transactions on Graphics (TOG) 29 (4), 1-10, 2010 | 149 | 2010 |
| Self-supervised collision handling via generative 3d garment models for virtual try-on I Santesteban, N Thuerey, MA Otaduy, D Casas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 146 | 2021 |
Markus GrossETH Zurich, Disney Research ZurichVerified email at inf.ethz.ch
