Phase dual-resolution networks for a computer-generated hologram

T Yu, S Zhang, W Chen, J Liu, X Zhang, Z Tian - Optics Express, 2022 - opg.optica.org
The computer-generated hologram (CGH) is a method for calculating arbitrary optical field
interference patterns. Iterative algorithms for CGHs require a built-in trade-off between …

Feed-forward neural network as nonlinear dynamics integrator for supercontinuum generation

L Salmela, M Hary, M Mabed, A Foi, JM Dudley… - Optics Letters, 2022 - opg.optica.org
The nonlinear propagation of ultrashort pulses in optical fibers depends sensitively on the
input pulse and fiber parameters. As a result, the optimization of propagation for specific …

Predicting nonlinear multi-pulse propagation in optical fibers via a lightweight convolutional neural network

H Sui, H Zhu, H Jia, Q Li, M Ou, B Luo, X Zou, L Yan - Optics Letters, 2023 - opg.optica.org
The nonlinear evolution of ultrashort pulses in optical fiber has broad applications, but the
computational burden of convolutional numerical solutions necessitates rapid modeling …

Predicting behavior of photonic crystal fiber lasers using artificial neural networks

R Mezzi, F Bahloul, AS Karar, R Ghandour… - Optics Communications, 2023 - Elsevier
Simulating pulse propagation within fiber lasers is a difficult and computationally demanding
task, which limits the ability to accurately capture their complex nonlinear dynamics. This …

Reliable self-healing FBG sensor network for improvement of multipoint strain sensing

ST Hayle, YC Manie, AM Dehnaw, YT Hsu, JW Li… - Optics …, 2021 - Elsevier
In this paper, we proposed and designed reliable self-healing fiber Bragg grating (FBG)
sensor network for improvement of multipoint strain sensing. We use an optical switch …

Localized waves of the higher-order nonlinear Schrödinger-Maxwell-Bloch system with the sextic terms in an erbium-doped fiber

Y Shen, B Tian, TY Zhou, CD Cheng - Nonlinear Dynamics, 2024 - Springer
In this paper, we concentrate on the higher-order nonlinear Schrödinger-Maxwell-Bloch
system with the sextic terms, which could characterize the ultra-short optical pulses in an …

[HTML][HTML] Semiconductor multilayer nanometrology with machine learning

H Kwak, J Kim - Nanomanufacturing and Metrology, 2023 - Springer
We review the measurement methods and thickness characterization algorithms of
semiconductor multilayer devices. Today's ultrahigh-density, high-energy-efficient three …

Predicting the dynamical behaviors for chaotic semiconductor lasers by reservoir computing

XZ Li, B Sheng, M Zhang - Optics Letters, 2022 - opg.optica.org
We demonstrate the successful prediction of the continuous intensity time series and
reproduction of the underlying dynamical behaviors for a chaotic semiconductor laser by …

Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network

S Boscolo, JM Dudley, C Finot - Optics Communications, 2023 - Elsevier
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 …

Multi-step ahead state estimation with hybrid algorithm for high-rate dynamic systems

M Nelson, V Barzegar, S Laflamme, C Hu… - … Systems and Signal …, 2023 - Elsevier
High-rate systems are defined as engineering systems that undergo accelerations of
amplitudes typically greater than 100 gn over less than 100 ms. Examples include adaptive …