Design of a Deep Learning-Based Metalens Color Router for RGB-NIR Sensing DOI Creative Commons
Hua Mu, Yu Zhang,

Zhenyu Liang

et al.

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(23), P. 1973 - 1973

Published: Dec. 8, 2024

Metalens can achieve arbitrary light modulation by controlling the amplitude, phase, and polarization of incident waves have been applied across various fields. This paper presents a color router designed based on metalens, capable effectively separating spectra from visible to near-infrared light. Traditional design methods for meta-lenses require extensive simulations, making them time-consuming. In this study, we propose deep learning network forward prediction broad wavelength range, combined with particle swarm optimization algorithm metalens efficiently. The simulation results align closely theoretical predictions. simultaneously meet transmission phase target spectra, specifically red, green, blue, light, focus into designated areas. Notably, optical efficiency reaches 40%, significantly surpassing traditional filters.

Language: Английский

Perfect absorption properties of a near-infrared super-surface perfect absorber based on a multilayer subwavelength array structure DOI
Yujie Wang, Zhimin Liu, Fengqi Zhou

et al.

Physics Letters A, Journal Year: 2025, Volume and Issue: unknown, P. 130395 - 130395

Published: Feb. 1, 2025

Language: Английский

Citations

13
Thermal radiation analysis of broadband solar energy capturing absorber using Ti and GaAs DOI
Yifan Xiao,

Can Ma,

Tangyou Sun

et al.

Dalton Transactions, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Here, we propose an effective solar absorber utilizing Ti and GaAs. The average absorption efficiency of this structure reaches 97.6% in the wavelength range 280–3000 nm. This is found to exhibit excellent thermal radiation performance.

Language: Английский

Citations

0
Exploring AI in Metasurface Structures with Forward and Inverse Design DOI Creative Commons

Guantai Yang,

Qingxiong Xiao,

Zhilin Zhang

et al.

iScience, Journal Year: 2025, Volume and Issue: 28(3), P. 111995 - 111995

Published: Feb. 15, 2025

As an artificially manufactured planar device, a metasurface structure can produce unusual electromagnetic responses by harnessing four basic characteristics of the light wave. Traditional design processes rely on numerical algorithms combined with parameter optimization. However, such methods are often time-consuming and struggle to match actual responses. This paper aims give unique perspective classify artificial intelligence(AI)-enabled design, dividing it into forward inverse designs according mapping relationship between variables performance. Forward driven intelligent algorithms; neural networks one principal ways realize reverse design. reviews recent progress in AI-enabled examining principles, advantages, potential applications. A rich content detailed comparison help build holistic understanding Moreover, authors believe that this systematic review will pave way for future research selection practical

Language: Английский

Citations

0
Three-dimensional measurement enabled by single-layer all-in-one transmitting-receipting optical metasystem DOI Creative Commons
Xiaoli Jing, Qiming Liao, Misheng Liang

et al.

Opto-Electronic Advances, Journal Year: 2025, Volume and Issue: 0(0), P. 240299 - 240299

Published: Jan. 1, 2025

Language: Английский

Citations

0
Theoretical framework to design and optimize feasible all optical modulator based on multi passband slit array filters in frequency domain DOI Creative Commons
Mostafa Shabani, Gholamreza Karimi, Alvise Bagolini

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105080 - 105080

Published: April 1, 2025

Language: Английский

Citations

0
High‐Resolution Phase‐Magnitude‐Decoupled Information Metasurface for Complex Beamforming and Dual Channel 16QAM Secure Communication DOI
Zheng Xing Wang, Hui Xu,

Jie Ming Lv

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: May 15, 2025

Abstract Information metasurfaces have attracted considerable attention due to their remarkable ability tailor electromagnetic (EM) waves flexibly. However, it is still challenging achieve high‐resolution phase‐magnitude‐decoupled modulations with high integration and more degrees of freedom in 2D. In this work, a low‐profile information metasurface (PMDIM) proposed that enables independent controls both phase magnitude. By precisely applying different bias voltages two groups PIN diodes the PMDIM unit cell, 2‐bit responses continuous magnitude control ranging from 0.2 1 across wide bandwidth are achieved unit‐by‐unit manner, offering 2D capability for EM manipulations. For validation, combined carefully optimized phase‐magnitude coding sequences realize functions: complex beamforming dual‐channel 16QAM secure communication. The first function includes single‐beam steering low sidelobes, dual‐beam power allocation, multi‐beam steering; while second enhances capacity physical layer security wireless systems. Measured results demonstrate excellent performance PMDIM, showing significant potentials modern radar communications.

Language: Английский

Citations

0
Special issue on meta-lens DOI Creative Commons
Din Ping Tsai, Shumin Xiao

Opto-Electronic Science, Journal Year: 2024, Volume and Issue: 3(9), P. 240023 - 240023

Published: Jan. 1, 2024

Citations

0
Design of a Deep Learning-Based Metalens Color Router for RGB-NIR Sensing DOI Creative Commons
Hua Mu, Yu Zhang,

Zhenyu Liang

et al.

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(23), P. 1973 - 1973

Published: Dec. 8, 2024

Metalens can achieve arbitrary light modulation by controlling the amplitude, phase, and polarization of incident waves have been applied across various fields. This paper presents a color router designed based on metalens, capable effectively separating spectra from visible to near-infrared light. Traditional design methods for meta-lenses require extensive simulations, making them time-consuming. In this study, we propose deep learning network forward prediction broad wavelength range, combined with particle swarm optimization algorithm metalens efficiently. The simulation results align closely theoretical predictions. simultaneously meet transmission phase target spectra, specifically red, green, blue, light, focus into designated areas. Notably, optical efficiency reaches 40%, significantly surpassing traditional filters.

Language: Английский

Citations

0