Predicting ultrafast nonlinear dynamics in optical fiber using neural networks

Goëry Genty; Lauri Salmela; John M Dudley

doi:10.1117/12.2588429

8 March 2021 Predicting ultrafast nonlinear dynamics in optical fiber using neural networks

Goëry Genty, Lauri Salmela, John M Dudley

Proceedings Volume 11665, Fiber Lasers XVIII: Technology and Systems; 116650K (2021) https://doi.org/10.1117/12.2588429
Event: SPIE LASE, 2021, Online Only

Abstract

We show how neural networks can be used to model complex and predict nonlinear propagation dynamics in optical fibres for a widerange of input conditions and fibre systems, including pulse compression, ultra-broadband supercontinuum generation, and multimode fiber systems. Our results open up novel perspectives to model and optimize complex nonlinear dynamics and systems.

Conference Presentation

Citation Download Citation

Goëry Genty, Lauri Salmela, and John M Dudley "Predicting ultrafast nonlinear dynamics in optical fiber using neural networks", Proc. SPIE 11665, Fiber Lasers XVIII: Technology and Systems, 116650K (8 March 2021); https://doi.org/10.1117/12.2588429

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