| --- |
| license: cc-by-nc-4.0 |
| tags: |
| - emmi-ai |
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| --- |
| |
| ## Model Details |
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| Emmi AI developed and released **Anchor-Branched Universal Physics Transformers** (AB-UPT) model for aerodynamics simulations. The model has been trained on DrivAerML dataset. |
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| It is expected that the user will provide input geometry similar to the ones from the DrivAerML dataset. |
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| ## How to use |
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| We provide a standalone GitHub repository with relevant tutorial code on how execute inference. The corresponding repository can be found here: https://github.com/Emmi-AI/AB-UPT |
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| ## License |
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| **AB-UPT** is shared under the [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license. |
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| ## Citation instructions |
| ``` |
| @article{alkin2025abupt, |
| title={{AB-UPT}: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers}, |
| author={Benedikt Alkin and Maurits Bleeker and Richard Kurle and Tobias Kronlachner and Reinhard Sonnleitner and Matthias Dorfer and Johannes Brandstetter}, |
| journal={arXiv preprint arXiv:2502.09692}, |
| year={2025} |
| } |
| ``` |