Predicting Extreme Events in Fiber-optic Instabilities Using Machine Learning
L Salmela - 2019 - trepo.tuni.fi
The study of ultrafast instabilities in optics is one of the key research area in nonlinear
science. Optical fibers constitute an excellent testbed for the study of complex dynamics and …
science. Optical fibers constitute an excellent testbed for the study of complex dynamics and …
Machine learning analysis of extreme events in optical fibre modulation instability
A central research area in nonlinear science is the study of instabilities that drive extreme
events. Unfortunately, techniques for measuring such phenomena often provide only partial …
events. Unfortunately, techniques for measuring such phenomena often provide only partial …
Machine learning analysis of instabilities in noise-like pulse lasers
Neural networks have been recently shown to be highly effective in predicting time-domain
properties of optical fiber instabilities based only on analyzing spectral intensity profiles …
properties of optical fiber instabilities based only on analyzing spectral intensity profiles …
Extreme events prediction in optical fibre modulation instability using machine learning
The study of instabilities that drive extreme events is central to nonlinear science. One of the
most celebrated example of nonlinear instability is modulation instability (MI) which …
most celebrated example of nonlinear instability is modulation instability (MI) which …
Numerical Prediction of Incoherent Modulation Instability Dynamics through Deep Learning Approaches
In nonlinear fiber optics, Modulation Instability (MI) is characterized by the emergence of
new spectral components, either seeded from optical signals or appearing spontaneously …
new spectral components, either seeded from optical signals or appearing spontaneously …
Machine Learning analysis of temporal instability peaks under Continuous Wave excitation in optical fiber Modulation Instability
Much recent work has applied machine learning to nonlinear fiber optics in areas such as
fiber laser control [1] and non-linear Schrödinger equation (NLSE) emulation [2]. Other …
fiber laser control [1] and non-linear Schrödinger equation (NLSE) emulation [2]. Other …
Machine learning applications to ultrafast nonlinear dynamics in optical fibers
G Genty - Emerging Topics in Artificial Intelligence (ETAI) 2023, 2023 - spiedigitallibrary.org
We review the use of machine learning techniques in ultrafast fiber-optics systems. In
particular, we discuss how machine learning can be used to extract useful information in the …
particular, we discuss how machine learning can be used to extract useful information in the …
Real-time full bandwidth measurement of spectral noise in supercontinuum generation
The ability to measure real-time fluctuations of ultrashort pulses propagating in optical fiber
has provided significant insights into fundamental dynamical effects such as modulation …
has provided significant insights into fundamental dynamical effects such as modulation …
Complexity of modulation instability
Abstract In this Research Letter, using experimental data, we analyze the computational
complexity of modulation instability of a light wave propagating in a single-mode optical …
complexity of modulation instability of a light wave propagating in a single-mode optical …
Analytical studies of modulation instability and nonlinear compression dynamics in optical fiber propagation
This paper summarizes analytic results describing the spectral broadening associated with
fiber modulation instability as described by analytic breather solutions of the nonlinear …
fiber modulation instability as described by analytic breather solutions of the nonlinear …