87 citations · 119 across the 7 of their papers we have counts for
7 papers
Automating physical intuition in nonlinear fiber optics with unsupervised dominant balance search
Andrei V. Ermolaev, Christophe Finot, Goery Genty +1
Identifying the underlying processes that locally dominate physical interactions is the key to understanding nonlinear dynamics. Machine-learning techniques have recently been show…
Control of spectral extreme events in ultrafast fibre lasers by a genetic algorithm
Xiuqi Wu, Ying Zhang, Junsong Peng +3
Extreme wave events or rogue waves (RWs) are both statistically rare and of exceptionally large amplitude. They are observed in many complex systems ranging from oceanic and optica…
Analysis of Dispersive Fourier Transform dataset using Dynamic Mode Decomposition: evidence of multiple vibrational modes, and their interplay in a three-soliton molecule
Anastasiia Sheveleva, Saïd Hamdi, Aurélien Coillet +2
We demonstrate that the Dynamic Mode Decomposition technique can effectively reduce the amount of noise in Dispersive Fourier Transform dataset; and allow for finer quantitative an…
Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network
Sonia Boscolo, J. M. Dudley, Christophe Finot
We deploy a supervised machine-learning model based on a neural network to predict the temporal and spectral reshaping of a simple sinusoidal modulation into a pulse train having a…
Trajectory control in idealized four-wave mixing processes in optical fiber
Anastasiia Sheveleva, Pierre Colman, J. M. Dudley +1
The four-wave mixing process is a fundamental nonlinear interaction in Kerr media that can be described by a closed trajectory in the associated phase plane. We show here that it i…
Farey tree and devil's staircase of frequency-locked breathers in ultrafast lasers
Xiuqi Wu, Ying Zhang, Junsong Peng +3
Nonlinear systems with two competing frequencies show locking or resonances. In lasers, the two interacting frequencies can be the cavity repetition rate and a frequency externally…