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Downstream_Physics_Simulation

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physics-simulation
physics-foundation-model
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- ---
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- license: mit
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-
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- ---
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-
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- # <img src=".\assets\logo.png" alt="Logo" width="55" style="vertical-align: middle;">GeoPT
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-
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- This repository contains the physics simulation data for the paper GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training.
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-
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- GeoPT is a unified model pre-trained on large-scale geometric data for general physics simulation, unlocking a scalable path for neural simulation.
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-
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- <p align="center">
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- <img src=".\assets\GeoPT.png" height = "120" alt="" align=center />
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- <br><br>
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- </p>
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-
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- ## Overview
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-
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- GeoPT is evaluated on the following five simulation tasks.
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-
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- | Dataset | Mesh Size | Variable | Training | Test | Total Size | Source |
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- | --------- | --------- | ------------------------------ | -------- | ---- | ---------- | ------------------------------------------------------------ |
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- | DrivAerML | ~160M | Geometry | 100 | 20 | ~6TB | [Link][https://huggingface.co/datasets/neashton/drivaerml] |
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- | NASA-CRM | ~450K | Geometry, Speed, AoA | 105 | 44 | ~3GB | [Link](https://drive.google.com/drive/folders/1KhoZiEHlZhGI8omMwHrp2mZRKGiSAydO) |
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- | AirCraft | ~330K | Geometry, Speed, AoA, Sideslip | 100 | 50 | ~7GB | [Transolver++](https://arxiv.org/abs/2502.02414) |
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- | DTCHull | ~240K | Geometry, Yaw Angle | 100 | 20 | ~2GB | GeoPT |
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- | Car-Crash | ~1M | Impact Angle | 100 | 30 | ~8GB | GeoPT |
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-
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- ## Load Data
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-
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- ```python
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- from datasets import load_dataset
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- load_dataset("GeoPT/Downstream_Physics_Simulation") # for AirCraft, DTCHull, Car-Crash, Radiosity
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- load_dataset("neashton/drivaerml") # for DrivAerML
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- ```
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-
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- NASA-CRM can be obtained from [Google Drive](https://drive.google.com/drive/folders/1KhoZiEHlZhGI8omMwHrp2mZRKGiSAydO).
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-
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- ## Examples
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-
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- <p align="center">
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- <img src=".\assets\examples.png" height = "140" alt="" align=center />
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- <br><br>
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- </p>
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-
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- ## Citation
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-
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- If you find this repo useful, please cite our paper.
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-
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- ```
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- @article{wu2026GeoPT,
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- title={GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training},
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- author={Haixu Wu, Minghao Guo, Zongyi Li, Zhiyang Dou, Mingsheng Long, Kaiming He, Wojciech Matusik},
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- booktitle={arXiv preprint arXiv:},
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- year={2026}
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- }
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- ```
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-
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- ## Contact
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-
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- If you have any questions or want to use the code, please contact Haixu Wu (wuhaixu98@gmail.com) and Minghao Guo (guomh2014@gmail.com).
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-
 
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+ ---
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+ license: mit
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+
4
+ ---
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+
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+ # <img src="assets/logo.png" alt="Logo" width="55" style="vertical-align: middle;">GeoPT
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+
8
+ This repository contains the physics simulation data for the paper GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training.
9
+
10
+ GeoPT is a unified model pre-trained on large-scale geometric data for general physics simulation, unlocking a scalable path for neural simulation.
11
+
12
+ <p align="center">
13
+ <img src="assets/GeoPT.png" height = "120" alt="" align=center />
14
+ <br><br>
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+ </p>
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+
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+ ## Overview
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+
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+ GeoPT is evaluated on the following five simulation tasks.
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+
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+ | Dataset | Mesh Size | Variable | Training | Test | Total Size | Source |
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+ | --------- | --------- | ------------------------------ | -------- | ---- | ---------- | ------------------------------------------------------------ |
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+ | DrivAerML | ~160M | Geometry | 100 | 20 | ~6TB | [Link](https://huggingface.co/datasets/neashton/drivaerml) |
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+ | NASA-CRM | ~450K | Geometry, Speed, AoA | 105 | 44 | ~3GB | [Link](https://drive.google.com/drive/folders/1KhoZiEHlZhGI8omMwHrp2mZRKGiSAydO) |
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+ | AirCraft | ~330K | Geometry, Speed, AoA, Sideslip | 100 | 50 | ~7GB | [Transolver++](https://arxiv.org/abs/2502.02414) |
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+ | DTCHull | ~240K | Geometry, Yaw Angle | 100 | 20 | ~2GB | GeoPT |
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+ | Car-Crash | ~1M | Impact Angle | 100 | 30 | ~8GB | GeoPT |
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+
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+ ## Load Data
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+
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+ ```python
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+ from datasets import load_dataset
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+ load_dataset("GeoPT/Downstream_Physics_Simulation") # for AirCraft, DTCHull, Car-Crash, Radiosity
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+ load_dataset("neashton/drivaerml") # for DrivAerML
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+ ```
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+
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+ NASA-CRM can be obtained from [Google Drive](https://drive.google.com/drive/folders/1KhoZiEHlZhGI8omMwHrp2mZRKGiSAydO).
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+
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+ ## Examples
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+
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+ <p align="center">
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+ <img src="assets/examples.png" height = "140" alt="" align=center />
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+ <br><br>
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+ </p>
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+
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+ ## Citation
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+
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+ If you find this repo useful, please cite our paper.
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+
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+ ```
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+ @article{wu2026GeoPT,
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+ title={GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training},
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+ author={Haixu Wu, Minghao Guo, Zongyi Li, Zhiyang Dou, Mingsheng Long, Kaiming He, Wojciech Matusik},
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+ booktitle={arXiv preprint arXiv:},
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+ year={2026}
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+ }
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+ ```
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+
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+ ## Contact
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+
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+ If you have any questions or want to use the code, please contact Haixu Wu (wuhaixu98@gmail.com) and Minghao Guo (guomh2014@gmail.com).
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+