Nonlinear autoregressive with external input neural network for predicting the nonlinear dynamics of supercontinuum generation in optical fibers

LCB Silva, MEV Segatto - JOSA B, 2023 - opg.optica.org
Full characterization of the propagation dynamics of ultra-short pulses in optical fibers is of
fundamental importance in designing optical devices for several applications in the …

Feed-forward neural network as nonlinear dynamics integrator for supercontinuum generation

L Salmela, M Hary, M Mabed, A Foi, JM Dudley… - Optics Letters, 2022 - opg.optica.org
The nonlinear propagation of ultrashort pulses in optical fibers depends sensitively on the
input pulse and fiber parameters. As a result, the optimization of propagation for specific …

Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network

L Salmela, N Tsipinakis, A Foi, C Billet… - Nature machine …, 2021 - nature.com
The propagation of ultrashort pulses in optical fibre plays a central role in the development
of light sources and photonic technologies, with applications from fundamental studies of …

Predicting ultrafast nonlinear dynamics in fiber optics by enhanced physics-informed neural network

X Jiang, M Zhang, Y Song, H Chen… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
Ultrafast nonlinear dynamics plays a crucial role in ultrafast optics, necessitating accurate
solutions to the generalized nonlinear Schrödinger equation (GNLSE) for understanding its …

Design and analysis of recurrent neural networks for ultrafast optical pulse nonlinear propagation

GR Martins, LCB Silva, MEV Segatto, HRO Rocha… - Optics Letters, 2022 - opg.optica.org
In this work, we analyze different types of recurrent neural networks (RNNs) working under
several different parameters to best model the nonlinear optical dynamics of pulse …

Comparative study of neural network architectures for modelling nonlinear optical pulse propagation

N Gautam, A Choudhary, B Lall - Optical Fiber Technology, 2021 - Elsevier
Ultrashort pulses have a crucial role in the evolution of different areas of science such as
ultra fast imaging, femtochemistry and high harmonic spectroscopy and therefore …

Deep learning based pulse prediction of nonlinear dynamics in fiber optics

H Sui, H Zhu, L Cheng, B Luo, S Taccheo, X Zou… - Optics …, 2021 - opg.optica.org
The initial state of a nonlinear optical fiber system plays a vital role in the ultrafast pulse
evolution dynamic. In this work, a data-driven compressed convolutional neural network …

Rethinking deep learning for supercontinuum: Efficient modeling based on integrated and compressed networks

Q Xu, H Yang, X Yuan, L Huang, H Yang… - Chaos, Solitons & …, 2024 - Elsevier
To accurately predict the complex dynamical processes of supercontinuum generation in
optical fibers, an integrated deep learning model was constructed in this study, fully …

A Weighted Loss Function to Predict Control Parameters for Supercontinuum Generation Via Neural Networks

D Stucchi, A Corsini, G Genty… - 2021 IEEE 31st …, 2021 - ieeexplore.ieee.org
Supercontinuum light is generated by a train of laser pulses propagating in an optical fiber.
The parameters characterizing these pulses influence the spectrum of the light as it exits the …

Predicting nonlinear multi-pulse propagation in optical fibers via a lightweight convolutional neural network

H Sui, H Zhu, H Jia, Q Li, M Ou, B Luo, X Zou, L Yan - Optics Letters, 2023 - opg.optica.org
The nonlinear evolution of ultrashort pulses in optical fiber has broad applications, but the
computational burden of convolutional numerical solutions necessitates rapid modeling …