Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Networks (PINNs) and reduced basis methods (RBM) to the non- linear model reduction regime while maintaining the type of network structure and the unsupervised nature of its learning.
Yanlai Chen, Yajie Ji, Akil Narayan, Zhenli Xu
Paper Links: arXiv | ResearchGate
Talk/Presentation: YouTube
Below you can find the Bibtex citation:
@article{chen2024tgpt,
title={TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs},
author={Chen, Yanlai and Ji, Yajie and Narayan, Akil and Xu, Zhenli},
journal={arXiv preprint arXiv:2403.03459},
year={2024}
}