The model was pre-trained on turbulent gyrokinetics simulations generated via the numerical code GKW.
For instructions on the data generation process see the data_generation directory of our github repository.
The small variant of GyroSwin was trained on 241 simulations of turbulent gyrokinetics simulations, amounting to 44,585 training samples, on the task of next-step prediction. In total the model consists of 90.2M parameters.
Example usage
We provide an example on how to use the model for inference in our github repository.
Citation
If you found our work useful, please consider citing it:
@inproceedings{paischergyroswin,
title={GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations},
author={Paischer, Fabian and Galletti, Gianluca and Hornsby, William and Setinek, Paul and Zanisi, Lorenzo and Carey, Naomi and Pamela, Stanislas and Brandstetter, Johannes},
booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems}
}
