Partial differential equation (PDE) is an important math tool in science and engineering. This paper experimentally demonstrates an optical neural PDE solver by leveraging the back-propagation-free on-photonic-chip training of physics-informed neural networks.
@article{arxiv.2501.00742,
title = {Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training},
author = {Yequan Zhao and Xian Xiao and Antoine Descos and Yuan Yuan and Xinling Yu and Geza Kurczveil and Marco Fiorentino and Zheng Zhang and Raymond G. Beausoleil},
journal= {arXiv preprint arXiv:2501.00742},
year = {2025}
}