To accurately predict the complex dynamical processes of supercontinuum generation in
optical fibers, an integrated deep learning model was constructed in this study, fully …

This study introduces a Deep Learning (DL) approach to predict supercontinuum generation
in optical waveguides, addressing computational and time challenges of traditional …

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 …

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 …

Ultrafast nonlinear dynamics plays a crucial role in ultrafast optics, necessitating accurate
solutions to the generalized nonlinear Schrödinger equation (GNLSE) for understanding its …

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 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 …

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 …

We introduce a novel photonic neural network using photonic crystal fibers, leveraging
femtosecond pulse supercontinuum generation for optical computing. Investigating its …

Supercontinuum generation is a highly nonlinear process that exhibits unstable and chaotic
characteristics when developing from long pump pulses injected into the anomalous …