We use a supervised machine-learning model based on a neural network to predict the
temporal and spectral intensity profiles of the pulses that form upon nonlinear propagation in …

We present a general method to determine the parameters of nonlinear pulse shaping
systems based on pulse propagation in a normally dispersive fiber that are required to …

We present a simple approach to predict the main features of optical spectra affected by self-
phase modulation (SPM), which is based on regarding the spectral modification as an …

We propose a new, simple approach to enhance the spectral compression process arising
from nonlinear pulse propagation in an optical fiber. We numerically show that an additional …

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 …

The countless applications of ultrashort laser pulses in very different scientific areas explain
the ongoing efforts to develop new strategies for the generation of light pulses with …

We report a compact ultrafast thulium-doped all-fiber laser delivering 65-fs pulses through
nonlinear compression in a dispersion and nonlinearity managed fiber chain. The laser …

We demonstrate that centroid-based clustering of normalized intensity profiles is able to
successfully isolate different classes of pulses associated with physically distinct regimes of …

We propose and experimentally demonstrate a new approach to dramatically reduce the
spectral broadening induced by self-phase modulation occurring in a Kerr medium. By using …

We experimentally demonstrate that the bandwidth of single photons laser pulse is
compressed by a factor of 58 in a periodically poled lithium niobate (PPLN) waveguide chip …