A framework for biosensors assisted by multiphoton effects and machine learning

JA Arano-Martinez, CL Martínez-González, MI Salazar… - Biosensors, 2022 - mdpi.com
The ability to interpret information through automatic sensors is one of the most important
pillars of modern technology. In particular, the potential of biosensors has been used to …

Artificial neural networks for photonic applications—from algorithms to implementation: tutorial

P Freire, E Manuylovich, JE Prilepsky… - Advances in Optics and …, 2023 - opg.optica.org
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

artificial intelligence-enabled mode-locked fiber laser: A review

Q Ma, H Yu - Nanomanufacturing and Metrology, 2023 - Springer
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 …

Fast predicting the complex nonlinear dynamics of mode‐locked fiber laser by a recurrent neural network with prior information feeding

G Pu, R Liu, H Yang, Y Xu, W Hu… - Laser & Photonics …, 2023 - Wiley Online Library
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 …

Quantum-behaved particle swarm optimization based on solitons

S Fallahi, M Taghadosi - Scientific Reports, 2022 - nature.com
This paper introduces a novel variant of the quantum particle swarm optimization algorithm
based on the quantum concept of particle-like solitons as the most common solutions of the …

A compact adaptive particle swarm optimization algorithm in the application of the mobile sensor localization

WM Zheng, N Liu, QW Chai… - … and Mobile Computing, 2021 - Wiley Online Library
The mobile sensor network can sense and collect the data information of the monitored
object in real time in the monitoring area. However, the collected information is meaningful …

Predicting evolutions of pulse characteristics along cavity position in passively mode-locked fiber laser via SSA-LSTM approach

D Han, B Zhang, R Guo, Y Chen, T Li, K Ren… - Optics & Laser …, 2024 - Elsevier
Ultrashort pulse evolution along the cavity position is an extremely complicated
computational process in passively mode-locked fiber laser systems. Herein, we present a …

Prediction and Inverse design of structural colors of nanoparticle systems via deep neural network

L Ma, K Hu, C Wang, JY Yang, L Liu - Nanomaterials, 2021 - mdpi.com
Noniridescent and nonfading structural colors generated from metallic and dielectric
nanoparticles with extraordinary optical properties hold great promise in applications such …

Inverse design of dual-band photonic topological insulator beam splitters for efficient light transmission

C Cai, X Li, G He, F Lian, M Li, Q Wang… - Journal of Physics D …, 2023 - iopscience.iop.org
The study of optical topological insulators (PTIs) has revealed intriguing optical properties
that diversify the ways in which light can be manipulated, offering significant potential for a …

Machine learning method for calculating mode-locking performance of linear cavity fiber lasers

X Ma, J Lin, C Dai, J Lv, P Yao, L Xu, C Gu - Optics & Laser Technology, 2022 - Elsevier
As a commonly used pulse light source, fiber mode-locked lasers are widely used in
communication, frequency comb, nonlinear optics and other fields. Although people can …