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20202026
most citedImplementing Digital Twin in Field-Deployed Optical Networks: Uncertain Factors, Operational Guidance, and Field-Trial Demonstration

19 citations · 41 across the 10 of their papers we have counts for

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Showing physics.opticsShow all

5 papers · 1 filter

physics.optics2026

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…

physics.optics2025★ 15 cited

Lifecycle Management of Optical Networks with Dynamic-Updating Digital Twin: A Hybrid Data-Driven and Physics-Informed Approach

Yuchen Song, Min Zhang, Yao Zhang +5

Digital twin (DT) techniques have been proposed for the autonomous operation and lifecycle management of next-generation optical networks. To fully utilize potential capacity and a…

physics.optics2025

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.optics2022★ 3 cited

Reconfigurable optical logic operations through scattering media with wavefront shaping

Zhipeng Yu, Yuchen Song, Tianting Zhong +3

Optical logic gates are fundamental blocks of optical computing to accelerate information processing. While significant progress has been achieved in recent years, existing impleme…

physics.optics2020

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…