| | --- |
| | license: mit |
| | tags: |
| | - physics-simulation |
| | - physics-foundation-model |
| | --- |
| | |
| | # GeoPT |
| |
|
| | This repository contains the physics simulation data for the paper GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training. |
| |
|
| | GeoPT is a unified model pre-trained on large-scale geometric data for general physics simulation, unlocking a scalable path for neural simulation. |
| |
|
| | <p align="center"> |
| | <img src="assets/GeoPT.png" height = "120" alt="" align=center /> |
| | </p> |
| |
|
| | ## Overview |
| |
|
| | GeoPT is evaluated on the following five simulation tasks. |
| |
|
| | | Dataset | Mesh Size | Variable | Training | Test | Total Size | Source | |
| | | --------- | --------- | ------------------------------ | -------- | ---- | ---------- | ------------------------------------------------------------ | |
| | | DrivAerML | ~160M | Geometry | 100 | 20 | ~6TB | [Link](https://huggingface.co/datasets/neashton/drivaerml) | |
| | | NASA-CRM | ~450K | Geometry, Speed, AoA | 105 | 44 | ~3GB | [Link](https://drive.google.com/drive/folders/1KhoZiEHlZhGI8omMwHrp2mZRKGiSAydO) | |
| | | AirCraft | ~330K | Geometry, Speed, AoA, Sideslip | 100 | 50 | ~7GB | [Transolver++](https://arxiv.org/abs/2502.02414) | |
| | | DTCHull | ~240K | Geometry, Yaw Angle | 100 | 20 | ~2GB | GeoPT | |
| | | Car-Crash | ~1M | Impact Angle | 100 | 30 | ~8GB | GeoPT | |
| |
|
| | ## Load Data |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | load_dataset("GeoPT/Downstream_Physics_Simulation") # for AirCraft, DTCHull, Car-Crash, Radiosity |
| | load_dataset("neashton/drivaerml") # for DrivAerML |
| | ``` |
| |
|
| | NASA-CRM can be obtained from [Google Drive](https://drive.google.com/drive/folders/1KhoZiEHlZhGI8omMwHrp2mZRKGiSAydO). |
| |
|
| | ## Examples |
| |
|
| | <p align="center"> |
| | <img src="assets/examples.png" height = "140" alt="" align=center /> |
| | </p> |
| |
|
| | ## Citation |
| |
|
| | If you find this repo useful, please cite our paper. |
| |
|
| | ``` |
| | @article{wu2026GeoPT, |
| | title={GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training}, |
| | author={Haixu Wu, Minghao Guo, Zongyi Li, Zhiyang Dou, Mingsheng Long, Kaiming He, Wojciech Matusik}, |
| | booktitle={arXiv preprint arXiv:2602.20399}, |
| | year={2026} |
| | } |
| | ``` |
| |
|
| | ## Contact |
| |
|
| | If you have any questions or want to use the code, please contact Haixu Wu (wuhaixu98@gmail.com) and Minghao Guo (guomh2014@gmail.com). |
