6 citations · 10 across the 9 of their papers we have counts for
5 papers · 1 filter
Large language models for optical network O&M: Agent-embedded workflow for automation
Shengnan Li, Yidi Wang, Fubin Wang +7
With the continuous expansion of optical networks and the increasing diversity of services, existing operation and maintenance (O&M) approaches are increasingly challenged to meet…
FiberKAN: Kolmogorov-Arnold Networks for Nonlinear Fiber Optics
Xiaotian Jiang, Min Zhang, Xiao Luo +3
Scientific discovery and dynamic characterization of the physical system play a critical role in understanding, learning, and modeling the physical phenomena and behaviors in vario…
Physics-Informed Machine Learning for EDFA: Parameter Identification and Gain Estimation
Xiaotian Jiang, Jiawei Dong, Yuchen Song +3
As the key component that facilitates long-haul transmission in optical fiber communications by increasing capacity and reducing costs, accurate characterization and gain settings…
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…
Wavelength Controllable Forward Prediction and Inverse Design of Nanophotonic Devices Using Deep Learning
Yuchen Song, Danshi Wang, Han Ye +2
A deep learning-based wavelength controllable forward prediction and inverse design model of nanophotonic devices is proposed. Both the target time-domain and wavelength-domain inf…