Predictions of resonant mode characteristics for terahertz quantum cascade lasers with distributed feedback utilizing machine learning
P Tang, X Chi, B Chen, C Wu - Optics Express, 2021 - opg.optica.org
Terahertz quantum cascade lasers (THz QCLs) are the most powerful solid-state THz
sources so far and THz QCLs with various distributed feedback (DFB) gratings have …
sources so far and THz QCLs with various distributed feedback (DFB) gratings have …
Phase space topology of four-wave mixing reconstructed by a neural network
The dynamics of ideal four-wave mixing in optical fiber is reconstructed by taking advantage
of the combination of experimental measurements together with supervised machine …
of the combination of experimental measurements together with supervised machine …
Neural network analysis of unstable temporal intensity peaks in continuous wave modulation instability
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 …
for modulation instability excited by a continuous wave field with random quantum noise …
Quantification and analysis of the nonlinear effects in spectral broadening through solid medium of femtosecond pulses by neural network
Y Gao, X Wang, X Zhu, K Zhao, H Liu, Z Wang… - Physical Review …, 2022 - APS
Supercontinuum generation has been widely applied in laser spectroscopy and few-cycle
pulse generation. It is composed of complex and unmeasurable nonlinear optical effects …
pulse generation. It is composed of complex and unmeasurable nonlinear optical effects …
Evaluating a neural network and a convolutional neural network for predicting soliton properties in a quantum noise environment
RA Herrera - JOSA B, 2020 - opg.optica.org
With its applications in science and engineering, supercontinuum (SC) generation is a
phenomenon widely studied in nonlinear fiber optics. The SC spectral properties are not …
phenomenon widely studied in nonlinear fiber optics. The SC spectral properties are not …
Machine learning analysis of instabilities in noise-like pulse lasers
Neural networks have been recently shown to be highly effective in predicting time-domain
properties of optical fiber instabilities based only on analyzing spectral intensity profiles …
properties of optical fiber instabilities based only on analyzing spectral intensity profiles …
Cascaded supercontinuum generation and rogue wave harnessing
X Wei, Z He, W Zhang - Chaos, Solitons & Fractals, 2022 - Elsevier
Optical rogue waves in fiber systems always arise from soliton fission and supercontinuum
generation, which are of great help to understand natural extreme events as well as to …
generation, which are of great help to understand natural extreme events as well as to …
A hybrid network with DNN and WGAN for supercontinum prediction
D Yang, H Liu, B Xu, C Tang, T Cheng - Optical Fiber Technology, 2024 - Elsevier
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 …
of the supercontinuum in optical fibers. The network incorporates the Wasserstein …
Unified predictive modeling of supercontinuum spectra: Using multi-material data with Closed-Form Continuous Time Neural Networks
This paper explores the application of the Closed-Form Continuous-Time Neural Networks
(CfC) model in predicting supercontinuum spectra in a unified dataset of various core …
(CfC) model in predicting supercontinuum spectra in a unified dataset of various core …
Nonlinear autoregressive with external input neural network for predicting the nonlinear dynamics of supercontinuum generation in optical fibers
LCB Silva, MEV Segatto - JOSA B, 2023 - opg.optica.org
Full characterization of the propagation dynamics of ultra-short pulses in optical fibers is of
fundamental importance in designing optical devices for several applications in the …
fundamental importance in designing optical devices for several applications in the …