Machine learning analysis of rogue solitons in supercontinuum generation
… scope of machine learning applications to the analysis of SC … applied machine learning to
the analysis of supercontinuum … of nonlinear dynamics using machine learning 30 . Using a …
the analysis of supercontinuum … of nonlinear dynamics using machine learning 30 . Using a …
Predicting Extreme Events in Fiber-optic Instabilities Using Machine Learning
L Salmela - 2019 - trepo.tuni.fi
… The results of this thesis open up new perspectives for the study and prediction of time-…
regimes of supercontinuum generation. The statistics of extremely red-shifted rogue solitons are …
regimes of supercontinuum generation. The statistics of extremely red-shifted rogue solitons are …
Intracavity incoherent supercontinuum dynamics and rogue waves in a broadband dissipative soliton laser
… new approaches to classify localised soliton structures using machine learning 6 . … study
of an extreme dissipative soliton noise-like pulse laser generating an output supercontinuum …
of an extreme dissipative soliton noise-like pulse laser generating an output supercontinuum …
Cascaded supercontinuum generation and rogue wave harnessing
X Wei, Z He, W Zhang - Chaos, Solitons & Fractals, 2022 - Elsevier
… rogue waves can be inhibited by 1.28 % or increased by 0.49 %, indicating that the soliton
behavior during supercontinuum generation … to stimulate supercontinuum and to control rogue …
behavior during supercontinuum generation … to stimulate supercontinuum and to control rogue …
Machine learning and applications in ultrafast photonics
… rogue solitons in noisy supercontinuum generation 76 . In addition, analysing chaotic data
from modulation instability, unsupervised clustering analysis … to analytic soliton structures 75 . …
from modulation instability, unsupervised clustering analysis … to analytic soliton structures 75 . …
Machine learning analysis of instabilities in noise-like pulse lasers
… network can predict temporal soliton characteristics in supercontinuum generation, as well
… satisfying rogue wave criteria. Here, we extend these previous studies of machine learning …
… satisfying rogue wave criteria. Here, we extend these previous studies of machine learning …
[HTML][HTML] Optimizing supercontinuum spectro-temporal properties by leveraging machine learning towards multi-photon microscopy
… -temporal properties of supercontinuum generation in order to … In this article, we conduct a
numerical study to assess the … solitons are shifted toward longer wavelengths via soliton self-…
numerical study to assess the … solitons are shifted toward longer wavelengths via soliton self-…
Recent progress on optical rogue waves in fiber lasers: status, challenges, and perspectives
Y Song, Z Wang, C Wang, K Panajotov… - Advanced …, 2020 - spiedigitallibrary.org
… nonlinear optical system, has been intensively employed for the study of optical solitons. …
Furthermore, research groups have employed machine learning to analyze the generation of …
Furthermore, research groups have employed machine learning to analyze the generation of …
Optical computing with supercontinuum generation in photonic crystal fibers
… equation and soliton dynamics as a reservoir computing platform for … and study the coherent
supercontinuum generation with … : machine learning by rogue waves, dispersive shocks, and …
supercontinuum generation with … : machine learning by rogue waves, dispersive shocks, and …
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
… through machine learning models [24–27]. … In summary, this work investigated the performance
of a NARXNET as a predictor of the nonlinear dynamics of supercontinuum generation in …
of a NARXNET as a predictor of the nonlinear dynamics of supercontinuum generation in …