Full-field prediction of supercontinuum generation dynamics

Lauri Salmela; Mathilde Hary; John M. Dudley; Goëry Genty

doi:10.1117/12.2577593

5 March 2021 Full-field prediction of supercontinuum generation dynamics

Lauri Salmela, Mathilde Hary, John M. Dudley, Goëry Genty

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Proceedings Volume 11703, AI and Optical Data Sciences II; 1170314 (2021) https://doi.org/10.1117/12.2577593
Event: SPIE OPTO, 2021, Online Only

Abstract

The generation of an optical supercontinuum with short (fs) input pulse duration is a highly complex process that exhibits rich nonlinear dynamics. Here, we show that one can teach a machine learning model to learn the nonlinear dynamics of ultrashort pulse propagation and predict the full-field propagation dynamics of supercontinuum based only on the input pulse characteristics (peak power, duration and chirp).

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Lauri Salmela, Mathilde Hary, John M. Dudley, and Goëry Genty "Full-field prediction of supercontinuum generation dynamics", Proc. SPIE 11703, AI and Optical Data Sciences II, 1170314 (5 March 2021); https://doi.org/10.1117/12.2577593

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KEYWORDS

Neural networks

Supercontinuum generation

Nonlinear dynamics

Ultrafast phenomena

Machine learning

Optical design

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