empirischtech/pyfr-cylinder-kh
PyFR Cylinder & Kelvin–Helmholtz flow dataset Paper: Measuring and Mitigating Forgetting when Extending a PDE Foundation Model to Simulated Flow Regimes (Representations for the Physical Sciences Workshop @ NeurIPS 2026) Simulation trajectories for two 2D flow regimes, generated with the PyFR high-order flux-reconstruction solver and resampled to a 128 × 128 grid. The data is stored as raw NumPy arrays with per-case JSON metadata, and is intended for training and evaluating… See the full description on the dataset page: https://huggingface.co/datasets/empirischtech/pyfr-cylinder-kh.
| Author / organization | empirischtech |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 150 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 August 2026 |
| Last updated at source | 12 October 2026 |
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