File size: 2,759 Bytes
4e8e99a 7c38965 fc338a3 4e8e99a b6ec201 4e8e99a 7c38965 4e8e99a 7c38965 4e8e99a 7c38965 4e8e99a 7c38965 4e8e99a fc338a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | ---
license: mit
task_categories:
- other
tags:
- physics-simulation
- physics-foundation-model
---
# GeoPT
[Project Page](https://physics-scaling.github.io/GeoPT/) | [Paper](https://huggingface.co/papers/2602.20399) | [GitHub](https://github.com/Physics-Scaling/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
# For AirCraft, DTCHull, Car-Crash, Radiosity
load_dataset("GeoPT/Downstream_Physics_Simulation")
# For DrivAerML
load_dataset("neashton/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.
```bibtex
@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},
journal={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). |