… recurrent neural network to model and predict complex nonlinear propagation in optical fibre…
generation, and compare neural network predictions with experimental data. We also show …

… to predict the spatiotemporal … recurrent neural network might be suitable to predict the
spatiotemporal field evolution, given that it successfully predicted the temporal physical dynamics …

… -nonlinear dynamics and high-frequency features. In this study, an enhanced PINN is proposed
for ultrafast nonlinear dynamics in fiber optics… in two typical ultrafast nonlinear scenarios: …

… networks’ performance can predict optical pulse propagation and model how they are affected
by nonlinearity over … , makes this neural network suitable for a time-series problem like the …

… Here, a recurrent neural network is proposed to realize fast and accurate femtosecond
mode-locked fiber laser modeling. The generalization over different cavity settings is achieved via …

… nonlinear optical fiber system plays a vital role in the ultrafast … , the recurrent neural network
has been applied in predicting … evolution in fiber optical parametric amplifier (FOPA) systems …

… complex cascaded nonlinear systems of equations, a … ultrafast optics simulations, we aim
our studies on using long short-term memory (LSTM) networks to replace solving the nonlinear …

… We aim to emulate fiber propagation and predict the shape of the … Ultrafast optical pulse
metrology is used to characterize fiber … Studies indicate that recurrent neural networks (RNNs) …

… different neural network (NN) architectures to predict the output pulse profile after transmission
through highly nonlinear and dispersive fibers. … Ultrafast optical pulse metrology is used to …

… A recurrent neural network (RNN) includes feedback synaptic connections and delays that
… as a predictor of the nonlinear dynamics of supercontinuum generation in optical fibers, …