Data-driven Discovery of the Ideal Four Wave Mixing Modelin Nonlinear Fiber Optics

6533b7d5fe1ef96bd1264d48

RESEARCH PRODUCT

Data-driven Discovery of the Ideal Four Wave Mixing Modelin Nonlinear Fiber Optics

Andrei Ermolaev A Sheveleva Lauri Salmela Goëry Genty Christophe Finot John Michael Dudley

subject

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]

description

We use the machine learning technique of spars eregression to “reverseengineer” dynamical data to discover the underlying physical model of four wave mixing in nonlinear fibre optics.

year	journal	country	edition	language
2022-01-01

https://hal.science/hal-03891093

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