… Machine learning could play a key role in future efforts to forecast and … a soliton fission-like
regime in hydrodynamics, equivalent to the onset dynamics of supercontinuum generation in …

… Although soliton-based SC generation is known to yield the broadest SC spectra, SC …
Furthermore, machine learning analysis of SC generation appears also as a very promising topic …

… order of soliton N in the DW generation should satisfy $P_0 = … Genty G 2020 Machine learning
analysis of rogue solitons in … Numerical simulation of supercontinuum generation in liquid-…

… the dynamics of rogue solitons in supercontinuum generation and … supercontinuum in
photonics by utilizing deep learning … understanding of the supercontinuum generation process but …

… Taking advantage of machine learning concepts, we exploit … the tuning of multiple soliton
interactions such as repulsion, … Note that, in this work, we restricted our study to a limited …

… Abstract: We use machine learning techniques to predict the peak intensity and temporal
shift of extreme red-shifted rogue solitons in supercontinuum generation from simulated …

… broadening is called supercontinuum generation (SCG). … , this paper proposes a hybrid deep
learning method for efficient … SCG in this work is dominated by soliton-related propagation …

… of intensity fluctuations in supercontinuum generation [12]. … The analytical solutions of
the NLSE referred to as soliton on … for wave-based computations using machine learning [42]. …

… in the supercontinuum generation are identified and determined quantitatively. Then we
utilize machine learning to construct a … Genty, Machine learning analysis of rogue solitons in …

… supercontinuum without any phase information. The possibility to combine machine learning
… of operations offers completely new avenues for the study of ultrafast dynamics in general. …