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 …
Artificial Neural Network Model to Investigate Supercontinuum Generation in Chalcogenide Planar Waveguide
This study introduces a Deep Learning (DL) approach to predict supercontinuum generation
in optical waveguides, addressing computational and time challenges of traditional …
in optical waveguides, addressing computational and time challenges of traditional …
A hybrid network with DNN and WGAN for supercontinum prediction
D Yang, H Liu, B Xu, C Tang, T Cheng - Optical Fiber Technology, 2024 - Elsevier
In this paper, a Hybrid Network is reported for predicting the output pulse shape parameters
of the supercontinuum in optical fibers. The network incorporates the Wasserstein …
of the supercontinuum in optical fibers. The network incorporates the Wasserstein …
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 …
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 …
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 …
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 …
Optical computing with supercontinuum generation in photonic crystal fibers
We introduce a novel photonic neural network using photonic crystal fibers, leveraging
femtosecond pulse supercontinuum generation for optical computing. Investigating its …
femtosecond pulse supercontinuum generation for optical computing. Investigating its …
Machine learning analysis of rogue solitons in supercontinuum generation
Supercontinuum generation is a highly nonlinear process that exhibits unstable and chaotic
characteristics when developing from long pump pulses injected into the anomalous …
characteristics when developing from long pump pulses injected into the anomalous …