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| title: ShockVortexML Interactive Demo | |
| emoji: 🌪️ | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: static | |
| app_file: index.html | |
| pinned: false | |
| license: mit | |
| short_description: Neural shock-vortex segmentation in compressible CFD | |
| # ShockVortexML Interactive Demo | |
| Explore the multistructure pipeline used in published Movies S9 and S10. | |
| The left panel shows density schlieren; the right shows the learned local shock | |
| front/band, retained core/wake outputs and PM-v4 expanding-flow region. | |
| The figures use saved movie predictions, with provenance in | |
| `demo_provenance_v2.json`. Blue denotes expanding flow, not a validated centred | |
| Prandtl–Meyer fan. These are previously inspected development examples. | |
| The three HJ checkpoints and quantitative control results in the linked model | |
| repository are a separate task-preservation experiment. They do not by | |
| themselves reproduce this extended movie pipeline. The free Static Space serves | |
| precomputed examples and links to the source and full-resolution movies. | |
| This is a research demonstration, not human ground truth or a universal CFD | |
| diagnostic. See the linked model card and | |
| [GitHub repository](https://github.com/Ehsan-Roohi/ShockVortexML) for the exact | |
| input contract, limitations, hashes and reproducibility material. Original | |
| supplementary movies are available in the | |
| [GitHub media release](https://github.com/Ehsan-Roohi/ShockVortexML/releases/tag/movies-localfront-v2-20260909) | |
| and on the [author’s YouTube channel](https://www.youtube.com/@ehsan_roohi). | |