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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- emmi-ai |
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--- |
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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 |
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``` |
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@article{alkin2025abupt, |
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title={{AB-UPT}: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers}, |
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author={Benedikt Alkin and Maurits Bleeker and Richard Kurle and Tobias Kronlachner and Reinhard Sonnleitner and Matthias Dorfer and Johannes Brandstetter}, |
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journal={arXiv preprint arXiv:2502.09692}, |
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year={2025} |
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} |
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``` |
