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 …
fundamental importance in designing optical devices for several applications in the …
Feed-forward neural network as nonlinear dynamics integrator for supercontinuum generation
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 …
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
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 …
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
Ultrafast nonlinear dynamics plays a crucial role in ultrafast optics, necessitating accurate
solutions to the generalized nonlinear Schrödinger equation (GNLSE) for understanding its …
solutions to the generalized nonlinear Schrödinger equation (GNLSE) for understanding its …
Design and analysis of recurrent neural networks for ultrafast optical pulse nonlinear propagation
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 …
several different parameters to best model the nonlinear optical dynamics of pulse …
Comparative study of neural network architectures for modelling nonlinear optical pulse propagation
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 …
ultra fast imaging, femtochemistry and high harmonic spectroscopy and therefore …
Deep learning based pulse prediction of nonlinear dynamics in fiber optics
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 …
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 …
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
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 …
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 …
computational burden of convolutional numerical solutions necessitates rapid modeling …
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