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 …

To accurately predict the complex dynamical processes of supercontinuum generation in
optical fibers, an integrated deep learning model was constructed in this study, fully …

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

This paper introduces time variant wave-signal-amplitude cosine and sine regression as an
extension to wave signal Fourier function and Wave-Shape Function (WSF) model. A full …

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 …

In this paper, a Hybrid Network is reported for predicting the output pulse shape parameters
of the supercontinuum in optical fibers. The network incorporates the Wasserstein …

摘要常规数值求解方法在表征光纤中超短脉冲的非线性传输过程时存在计算量大,
效率低等局限. 随着人工智能的快速发展, 深度学习技术展现出了强大的计算能力 …

Optical fiber channel modeling, which is essential in optical transmission system simulations
and designs, is usually based on the split-step Fourier method (SSFM), making the …

We present an erratum to our Letter [Opt. Lett. 47, 802 (2022) 10.1364/OL. 448571]. This
erratum corrects an error in the sign of one of the higher-order dispersion coefficient used in …

A highly sensitive distributed measurement technique is employed to map supercontinuum
generation along a tapered silica optical fiber. This technique, which utilizes a confocal …