[HTML][HTML] Enhanced bi-LSTM for Modeling Nonlinear Amplification Dynamics of Ultra-Short Optical Pulses
K Saraeva, A Bednyakova - Photonics, 2024 - mdpi.com
Fiber amplifiers are essential devices for optical communication and laser physics, yet the
intricate nonlinear dynamics they exhibit pose significant challenges for numerical modeling …
intricate nonlinear dynamics they exhibit pose significant challenges for numerical modeling …
Simultaneous temporal and spectral evolution of ultrafast optical pulse propagation using a single bidirectional LSTM network
GR Martins, LCB da Silva, MEV Segatto… - Optical Fiber …, 2024 - Elsevier
Numerical simulations of optical pulse evolution are often a cumbersome task, mostly due to
the presence of nonlinearities, and standard numerical approaches like splitting methods …
the presence of nonlinearities, and standard numerical approaches like splitting methods …
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 …
Physics-based deep learning for modeling nonlinear pulse propagation in optical fibers
A physics-based deep learning (DL) method termed Phynet is proposed for modeling the
nonlinear pulse propagation in optical fibers totally independent of the ground truth. The …
nonlinear pulse propagation in optical fibers totally independent of the ground truth. The …
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 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 …
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 …
Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network
The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly
complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to …
complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to …
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 …