A hybrid physics-plus-data neural model of optical fiber predicts channel power rapidly and updates fiber and amplifier parameters from measured power profiles in simulations and a field trial.
A comparative review of mems-based optical cross- connects for all-optical networks from the past to the present day,
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Lifecycle Management of Optical Networks with Dynamic-Updating Digital Twin: A Hybrid Data-Driven and Physics-Informed Approach
A hybrid physics-plus-data neural model of optical fiber predicts channel power rapidly and updates fiber and amplifier parameters from measured power profiles in simulations and a field trial.