---
license: cc-by-nc-sa-4.0
tags:
- MLIP
- MLFF
datasets:
- aixsim/Titan25
---

# SNet-T25
SNet-T25 is an MLIP trained on the Titan25 dataset.

Full details of the model architecture and hyperparameters are available at [GAIA paper](https://arxiv.org/abs/2509.25798)

The original SNet-T25 was trained using our in-house framework;
we provide a converted version that can be directly used with [the SevenNet framework](https://github.com/MDIL-SNU/SevenNet).
To enable compatibility, the user only need to apply the following minor modifications:
- Modify line 5 in `SevenNet/sevenn/__init__.py` to, e.g., `__version__ = '0.11.0'`. This allows the user to use it without installing SevenNet.
- Comment out line 332 in `SevenNet/sevenn/checkpoint.py`, i.e., `assert len(missing) == 0, f'Missing keys: {missing}'`

# Citation
If using this checkpoint, please cite our work as follows:
```
@article{gaia2025,
  title={Scalable Reactive Atomistic Dynamics with GAIA},
  author={Song, Suhwan and Kim, Heejae and Jang, Jaehee and Cho, Hyuntae and Kim, Gunhee and Kim, Geonu},
  journal={arXiv preprint arXiv:2509.25798},
  year={2025}
}
```