4 citations · 8 across the 2 of their papers we have counts for
2 papers
eess.SP2022★ 4 cited
Physics-Informed Neural Operator for Fast and Scalable Optical Fiber Channel Modelling in Multi-Span Transmission
Yuchen Song, Danshi Wang, Qirui Fan +3
We propose efficient modelling of optical fiber channel via NLSE-constrained physics-informed neural operator without reference solutions. This method can be easily scalable for di…
physics.optics2021★ 4 cited
Physics-informed Neural Network for Nonlinear Dynamics in Fiber Optics
Xiaotian Jiang, Danshi Wang, Qirui Fan +3
A physics-informed neural network (PINN) that combines deep learning with physics is studied to solve the nonlinear Schrödinger equation for learning nonlinear dynamics in fiber op…