Reconfigurable and broadband analog computing with terahertz metasurface based on electrical tuning of vanadium-dioxide resonators DOI Creative Commons
Mohammad Ali Shameli, Mirko Magarotto, Antonio‐Daniele Capobianco

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 170478 - 170486

Опубликована: Янв. 1, 2024

Язык: Английский

Vortex-field enhancement through high-threshold geometric metasurface DOI Creative Commons

Qingsong Wang,

Fang Yao, Yu Meng

и другие.

Opto-Electronic Advances, Год журнала: 2024, Номер 0(0), С. 240112 - 240112

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

20

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

и другие.

Physics Letters A, Год журнала: 2025, Номер unknown, С. 130395 - 130395

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

13

The Road to Commercializing Optical Metasurfaces: Current Challenges and Future Directions DOI
Younghwan Yang, Eunji Lee, Yujin Park

и другие.

ACS Nano, Год журнала: 2025, Номер unknown

Опубликована: Янв. 15, 2025

Optical metasurfaces, components composed of artificial nanostructures, are recognized for pushing boundaries wavefront manipulation while maintaining a lightweight, compact design that surpasses conventional optics. Such advantages align with the current trends in optical systems, which demand communication devices and immersive holographic projectors, driving significant investment from industry. Although interest commercialization metasurfaces has steadily grown since initial breakthrough diffraction-limited focusing, their practical applications have remained limited by challenges such as, massive-production yield, absence standardized evaluation methods, constrained methodology. Here, this Perspective addresses particularly focused on mass production, fabrication tolerance, performance evaluation, integration into commercial systems. Additionally, we select fields where may soon play roles provide perspective potentials. By addressing exploring solutions, aims to foster discussions will accelerate utilization further build near-future metaphotonics platforms.

Язык: Английский

Процитировано

8

Tunable meta-device for large depth of field quantitative phase imaging DOI Creative Commons

Jialuo Cheng,

Zihan Geng,

Yin Zhou

и другие.

Nanophotonics, Год журнала: 2025, Номер 14(8), С. 1249 - 1256

Опубликована: Фев. 15, 2025

Abstract In traditional optical imaging, image sensors only record intensity information, and phase information of transparent samples such as cells semiconductor materials is hard to obtain. Quantitative imaging techniques are crucial for obtaining detailed but current methods often require complex interferometric setups or mechanical adjustments, limiting their practical applicability. Here, we proposed a novel meta-device integrating PB phase-based meta-lens, refractive lens, an electronically tunable lens with polarization camera capture multiple defocused images simultaneously the transport equation-based retrieval algorithm. By leveraging distinct focus lengths left-circularly polarized right-circularly light, eliminates need shots movements. Our approach enables rapid, precise, quantitative at different depths. The experiment shows accuracy our 98.47 % 2.52 mm depth range objects that can be retrieved, making it highly suitable dynamic depth-varying samples, in solution.

Язык: Английский

Процитировано

2

Racemic dielectric metasurfaces for arbitrary terahertz polarization rotation and wavefront manipulation DOI Creative Commons
Jie Li, Xueguang Lu, Hui Li

и другие.

Opto-Electronic Advances, Год журнала: 2024, Номер 7(10), С. 240075 - 240075

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

13

Four-dimensional imaging based on binocular chiral metalens DOI
Lingyun Zhang, Jianing Yang, Li Zhang

и другие.

Optics Letters, Год журнала: 2025, Номер 50(3), С. 1017 - 1017

Опубликована: Янв. 17, 2025

In this Letter, we present a binocular chiral metalens (BCM) device designed for four-dimensional (4D) imaging, which integrates both three-dimensional spatial perception and polarization detection. The BCM consists of two identical monocular metalenses that spatially separate left- right-handed circularly polarized (LCP RCP) light. When integrated with commercial camera, the enable simultaneous measurement depth information. Numerical simulations experimental results demonstrate can achieve circular extinction ratio (CPER) 29.2 dB an average 3D reconstruction error 4.09%. proposed system paves pathway multi-dimensional significant potential in applications security, surveillance, future advancements more complex imaging tasks across other electromagnetic bands, including terahertz infrared regimes.

Язык: Английский

Процитировано

1

Scaled transverse translation by planar optical elements for sub-pixel sampling and remote super-resolution imaging DOI Creative Commons
Qi Zhang,

Xin Xu,

Yinghui Guo

и другие.

Nanophotonics, Год журнала: 2025, Номер 14(8), С. 1203 - 1211

Опубликована: Фев. 7, 2025

Abstract High resolution imaging represents a relentless pursuit within the field of optical system. Multi-frame super-resolution (SR) is an effective method for enhancing sampling density, while it heavily relies on sub-pixel scale displacement bulky camera. Based symmetric transformation quadratic-phase metasurface, we propose scaled transverse translation (STT) utilizing planar elements (POEs) to facilitate and remote imaging. The STT module composed pair with conjugated quadratic phase profile fabricated experimentally verified. By displacing POE millimeter-level range, achieve sub-micron in shift accuracy. Furthermore, results SR enhanced Fourier ptychography demonstrate significant compatibility effectiveness this module. improvement FP increases from 2× 2.8× by using Moreover, defect reduction contrast enhancement are obtained. With its advantages light-weight, simple structure ease implementation, shows considerable potential numerous applications.

Язык: Английский

Процитировано

1

Structural color: an emerging nanophotonic strategy for multicolor and functionalized applications DOI Creative Commons
Wenhao Wang, Long Wang, Qianqian Fu

и другие.

Opto-Electronic Science, Год журнала: 2025, Номер 0(0), С. 240030 - 240030

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Revolutionary Integration of Artificial Intelligence with Meta-Optics-Focus on Metalenses for Imaging DOI Creative Commons
Nikolay L. Kazanskiy, Svetlana N. Khonina, Ivan Oseledets

и другие.

Technologies, Год журнала: 2024, Номер 12(9), С. 143 - 143

Опубликована: Авг. 28, 2024

Artificial intelligence (AI) significantly enhances the development of Meta-Optics (MOs), which encompasses advanced optical components like metalenses and metasurfaces designed to manipulate light at nanoscale. The intricate design these requires sophisticated modeling optimization achieve precise control over behavior, tasks for AI is exceptionally well-suited. Machine learning (ML) algorithms can analyze extensive datasets simulate numerous variations identify most effective configurations, drastically speeding up process. also enables adaptive MOs that dynamically adjust changing imaging conditions, improving performance in real-time. This results superior image quality, higher resolution, new functionalities across various applications, including microscopy, medical diagnostics, consumer electronics. combination with thus epitomizes a transformative advancement, pushing boundaries what possible technology. In this review, we explored latest advancements AI-powered applications.

Язык: Английский

Процитировано

6

Empowering nanophotonic applications via artificial intelligence: pathways, progress, and prospects DOI Creative Commons
Wei Chen,

Shuya Yang,

Yiming Yan

и другие.

Nanophotonics, Год журнала: 2025, Номер 14(4), С. 429 - 447

Опубликована: Фев. 3, 2025

Abstract Empowering nanophotonic devices via artificial intelligence (AI) has revolutionized both scientific research methodologies and engineering practices, addressing critical challenges in the design optimization of complex systems. Traditional methods for developing are often constrained by high dimensionality spaces computational inefficiencies. This review highlights how AI-driven techniques provide transformative solutions enabling efficient exploration vast spaces, optimizing intricate parameter systems, predicting performance advanced materials with accuracy. By bridging gap between complexity practical implementation, AI accelerates discovery novel functionalities. Furthermore, we delve into emerging domains, such as diffractive neural networks quantum machine learning, emphasizing their potential to exploit photonic properties innovative strategies. The also examines AI’s applications areas, e.g., optical image recognition, showcasing its role device integration. facilitating development highly efficient, compact devices, these AI-powered paving way next-generation systems enhanced functionalities broader applications.

Язык: Английский

Процитировано

0