| --- |
| license: cc-by-4.0 |
| task_categories: |
| - time-series-forecasting |
| tags: |
| - physics |
| - computational-fluid-dynamics |
| - cfd |
| - navier-stokes |
| - turbulence |
| - aerodynamics |
| - large-eddy-simulation |
| - partial-differential-equations |
| - pde |
| - dynamical-systems |
| - point-cloud |
| - surrogate-modeling |
| - operator-learning |
| - neural-operators |
| - scientific-machine-learning |
| - timeseries |
| - 3d |
| pretty_name: TurtLES |
| size_categories: |
| - n<1K |
| --- |
| |
| # TurtLES: A Large-Scale Benchmark for Turbulent 3D Neural PDE Surrogates |
|
|
| ## Citation |
|
|
| If you find our work useful or use our dataset, please consider citing it: |
|
|
| ```bibtex |
| @inproceedings{platenburg2026turtles, |
| title = {{TurtLES}: A Large-Scale Benchmark for Turbulent {3D} Neural {PDE} Surrogates}, |
| author = {Platenburg, Jarno and Kassa{\"\i} Koupa{\"\i}, Armand and Cinnella, Paola and Gallinari, Patrick}, |
| booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track}, |
| year = {2026}, |
| url = {https://openreview.net/forum?id=vX3Xjjnk0q} |
| } |
| ``` |
