add first version of AB-UPT trained on DrivAerML
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- README.md +27 -0
- ab-upt-drivaerml-tutorial.th +3 -0
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README.md
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---
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license: cc-by-nc-4.0
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---
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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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## Hot 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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```
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ab-upt-drivaerml-tutorial.th
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version https://git-lfs.github.com/spec/v1
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oid sha256:026c1f3248e925039d99784486851abbe25c4e35a0a29a0c4994edacd892988a
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size 35088138
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