Owing to their compactness, robustness, low cost, high stability, and diffraction-limited beam
quality, mode-locked fiber lasers play an indispensable role in micro/nanomanufacturing …

We show using numerical simulations that data driven discovery using sparse regression
can be used to extract the governing differential equation model of ideal four-wave mixing in …

As an imperative method of investigating the internal mechanism of femtosecond lasers,
traditional femtosecond laser modeling relies on the split‐step Fourier method (SSFM) to …

The performance limitations of traditional computer architectures have led to the rise of brain‐
inspired hardware, with optical solutions gaining popularity due to the energy efficiency …

The nonlinear evolution of ultrashort pulses in optical fiber has broad applications, but the
computational burden of convolutional numerical solutions necessitates rapid modeling …

We report the application of a neural network to correlate spectral and temporal properties
for modulation instability excited by a continuous wave field with random quantum noise …

Machine learning has been used to accelerate studies in the dynamics of optical pulses. In
this study, we use machine learning to investigate the optimal design of supercontinuum …

The modeling and prediction of the ultrafast nonlinear dynamics in the optical fiber are
essential for the studies of laser design, experimental optimization, and other fundamental …

We report the generation of a spectrally tailored supercontinuum using Fourier-domain
pulse shaping of femtosecond pulses injected into a highly nonlinear fiber controlled by a …

We use octave-spanning, phase-shaped supercontinuum generation as an analog
computing element in a neural network. We can perform standard machine learning tasks …