Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training

Autor:	Zhao, Yequan, Xiao, Xian, Descos, Antoine, Yuan, Yuan, Yu, Xinling, Kurczveil, Geza, Fiorentino, Marco, Zhang, Zheng, Beausoleil, Raymond G.
Rok vydání:	2025
Předmět:	Computer Science - Machine Learning Computer Science - Hardware Architecture Physics - Optics
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2501.00742 Zobrazit plný text záznamu View this record from Arxiv