Dec 31, 2023 · This paper develops an on-chip training framework for physics-informed neural networks (PINNs), aiming to solve high-dimensional PDEs with fJ/MAC photonic ...

Leveraging optical computing, this paper develops an on-chip training framework for physics-informed neural networks (PINNs), aiming to solve high-dimensional.

Jan 4, 2024 · To enable realistic optical PINN training, this paper presents a scalable method to avoid the BP process. We also employ a tensor-compressed ...

Jan 5, 2024 · This paper develops an on-chip training framework for physics-informed neural networks (PINNs), aiming to solve high-dimensional PDEs with fJ/MAC photonic ...

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training ... This is the first real-size optical PINN training framework that

Schedule ; Sat 9:25 a.m. - 10:30 a.m.. Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training ( Poster ) > link · Link. Yequan ...

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training. Y Zhao, X Xiao, X Yu, Z Liu, Z Chen, G Kurczveil, RG Beausoleil, Z ...

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training · no code implementations • 31 Dec 2023 • Yequan Zhao, Xian Xiao ...

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training · no code implementations • 31 Dec 2023 • Yequan Zhao, Xian Xiao ...

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training. Y Zhao, X Xiao, X Yu, Z Liu, Z Chen, G Kurczveil, RG Beausoleil, Z ...