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9 March 2022 Neural network prediction of supercontinuum generation dynamics
Lauri Salmela, Mathilde Hary, John M. Dudley, Goëry Genty
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Proceedings Volume PC12019, AI and Optical Data Sciences III; PC120190Y (2022) https://doi.org/10.1117/12.2608549
Event: SPIE OPTO, 2022, San Francisco, California, United States
Abstract
The generation of an optical supercontinuum in nonlinear fibers exhibits highly complex nonlinear dynamics. Here, we show that one can train a neural network to learn the complex propagation dynamics for supercontinuum generation solely based on the input pulse parameters for a variety of scenarios ranging from higher-order soliton compression to broadband octave-spanning supercontinuum. The speed of our approach exceeds that of the direct integration of the generalized nonlinear Schrödinger equation by several orders of magnitude, allowing for “real-time” optimization or analysis of optical systems.
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Lauri Salmela, Mathilde Hary, John M. Dudley, and Goëry Genty "Neural network prediction of supercontinuum generation dynamics", Proc. SPIE PC12019, AI and Optical Data Sciences III, PC120190Y (9 March 2022); https://doi.org/10.1117/12.2608549
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KEYWORDS
Neural networks
Supercontinuum generation
Process modeling
Nonlinear dynamics
Nonlinear optics
Numerical integration
Numerical simulations
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