Data-driven model discovery of ideal four-wave mixing in nonlinear fibre optics

Data-driven model discovery of ideal four-wave mixing in nonlinear fibre optics

Abstract We show using numerical simulations that data driven discovery using sparse regression can be used to extract the governing differential equation model of ideal four-wave mixing in a nonlinear Schrödinger equation optical fibre system. Specifically, we consider the evolution of a strong sin...

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Bibliographic Details
Main Authors: Andrei V. Ermolaev, Anastasiia Sheveleva, Goëry Genty, Christophe Finot, John M. Dudley
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-16586-5

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