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

Zhenyu Liang

и другие.

Nanomaterials, Год журнала: 2024, Номер 14(23), С. 1973 - 1973

Опубликована: Дек. 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.

Язык: Английский

Beating spectral bandwidth limits for large aperture broadband nano-optics DOI Creative Commons
Johannes E. Fröch, Praneeth Chakravarthula,

Jipeng Sun

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Март 28, 2025

Flat optics have been proposed as an attractive approach for the implementation of new imaging and sensing modalities to replace augment refractive optics. However, chromatic aberrations impose fundamental limitations on diffractive flat As such, true broadband high-quality has thus far out reach fast f-numbers, large aperture, In this work, we overcome intrinsic spectral bandwidth limitations, achieving in visible wavelength range with a meta-optic, co-designed computational reconstruction. We derive necessary conditions broadband, 1 cm f/2 optic, diagonal field view 30° average system MTF contrast 20% or larger spatial frequency 100 lp/mm band (>30% <70 lp/mm). Finally, use coaxial, dual-aperture train meta-optic learned reconstruction method operating pair-wise captured data. Fundamentally, our work challenges entrenched belief inability capturing high-quality, full-color images using single aperture meta-optic.

Язык: Английский

Процитировано

1

Deep-learning-driven end-to-end metalens imaging DOI Creative Commons

Joonhyuk Seo,

Jaegang Jo,

Joohoon Kim

и другие.

Advanced Photonics, Год журнала: 2024, Номер 6(06)

Опубликована: Ноя. 14, 2024

Recent advances in metasurface lenses (metalenses) have shown great potential for opening a new era compact imaging, photography, light detection, and ranging (LiDAR) virtual reality/augmented reality applications. However, the fundamental trade-off between broadband focusing efficiency operating bandwidth limits performance of metalenses, resulting chromatic aberration, angular relatively low efficiency. A deep-learning-based image restoration framework is proposed to overcome these limitations realize end-to-end metalens thereby achieving aberration-free full-color imaging mass-produced metalenses with 10 mm diameter. Neural-network-assisted achieved high resolution comparable that ground truth image.

Язык: Английский

Процитировано

9

AI for optical metasurface DOI Creative Commons
Akira Ueno,

Juejun Hu,

Sensong An

и другие.

Deleted Journal, Год журнала: 2024, Номер 1(1)

Опубликована: Сен. 2, 2024

Optical metasurfaces, planar artificial media capable of controlling light propagation, are transitioning from laboratory curiosity to commercial applications. This shift requires advanced meta-atom and metasurface designs, considering manufacturability enhancing optical performance with post-processing algorithms. Artificial-Intelligence(AI), particularly machine-learning(ML) optimization, offers solutions these demands. perspective systematically reviews AI's potential impact in three critical areas: AI-enabled design-for-manufacturing(DFM), design beyond the classical local phase approximation, AI-empowered computational backend.

Язык: Английский

Процитировано

6

Integration of Programmable Diffraction with Digital Neural Networks DOI Creative Commons

Md Sadman Sakib Rahman,

Aydogan Özcan

ACS Photonics, Год журнала: 2024, Номер 11(8), С. 2906 - 2922

Опубликована: Авг. 12, 2024

Optical imaging and sensing systems based on diffractive elements have seen massive advances over the last several decades. Earlier generations of optical processors were, in general, designed to deliver information an independent system that was separately optimized, primarily driven by human vision or perception. With recent deep learning digital neural networks, there been efforts establish are jointly optimized with networks serving as their back-end. These hybrid (optical + digital) a new "diffractive language" between input electromagnetic waves carry analog process digitized at back-end, providing best both worlds. Such designs can spatially temporally coherent, partially incoherent waves, universal coverage for any varying set point spread functions be given task, executed collaboration networks. In this Perspective, we highlight utility exciting engineered programmed diffraction diverse range applications. We survey some major innovations enabled push–pull relationship analogue wave processing also covering significant benefits could reaped through synergy these two complementary paradigms.

Язык: Английский

Процитировано

4

Inverse Design Broadband Achromatic and Polarizations-Insensitive Metalens in Mid-Infrared DOI

Shengyao Xu,

Peng Kang, Jing Chen

и другие.

Optics Communications, Год журнала: 2025, Номер unknown, С. 131586 - 131586

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Computed Tomography Using Meta-Optics DOI
Maksym Zhelyeznyakov, Johannes E. Fröch, Shane Colburn

и другие.

ACS Photonics, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Bio-inspired optofluidic focus-tunable imaging system with large two-dimensional field-of-view tuning capability DOI
Jianming Lv, Huajie Hong, Meng Zhang

и другие.

Measurement, Год журнала: 2025, Номер unknown, С. 117332 - 117332

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Full-Color Quasi-Achromatic Imaging with a Dual-Functional Metasurface DOI
Xiaoyu Du, Wenjing Shen, Jian Li

и другие.

Nano Letters, Год журнала: 2025, Номер unknown

Опубликована: Апрель 18, 2025

Achieving broadband achromaticity in the visible spectrum is critical for enhancing imaging performance of metalenses. However, many previous studies remain constrained by small device sizes or numerical aperture. In this study, we propose a polarization-multiplexed metalens capable generating zero- and high-order Bessel beams to achieve quasi-achromatic correction without size limitations. An image subtraction method with two polarization channels developed mitigate beam sidelobes improve quality. Our results demonstrate an effective focusing over continuous wavelength range 450-700 nm long focus depth. The significantly enhances clarity contrast, providing new insights full-color detection.

Язык: Английский

Процитировано

0

36‐Channel Spin and Wavelength Co‐Multiplexed Metasurface Holography by Phase‐Gradient Inverse Design DOI Creative Commons

C. G. Park,

Youngsun Jeon,

Junsuk Rho

и другие.

Advanced Science, Год журнала: 2025, Номер unknown

Опубликована: Май 8, 2025

Abstract Metasurface holography has emerged as a versatile tool for manipulating light at subwavelength scales, offering enhanced capabilities in multiplexing high‐resolution holographic images. However, the scalability of channel remains significant challenge. In this paper, high‐capacity single‐cell metasurface is presented capable maximizing channels by images across both spin and wavelength using single‐phase map. The achievement simultaneous left‐ right‐circular polarization states detailed broad spectral range, from visible to near‐infrared wavelengths, metasurface, optimized through an inverse design minimize loss between target output automatic differentiation. phase profile encode multiple without requiring complex meta‐atoms, thereby reducing fabrication complexity while maintaining high performance. Using method, two implementations are demonstrated, 8‐channel hologram covering regions 36‐channel operating full‐visible spectrum 18 wavelengths separated 20‐nm intervals. Furthermore, noise‐related functions incorporated into optimization process suppress background noise inter‐channel crosstalk, resulting significantly improved image quality fidelity. This approach offers reliable solution further photonic applications such displays, optical data storage, information encryption.

Язык: Английский

Процитировано

0

Broadband Achromatic Hybrid Metalens Module with 100° Field of View for Visible Imaging DOI Creative Commons
Peixuan Wu, Xingyi Li,

Yuan-Yuan Xing

и другие.

Sensors, Год журнала: 2025, Номер 25(10), С. 3202 - 3202

Опубликована: Май 20, 2025

Conventional metalenses struggle with chromatic aberration and narrow field of view (FOV), making it challenging to meet the dispersion requirements for large apertures compensate off-axis aberrations wide FOV. Here, we demonstrate a hybrid metalens module consisting five refractive plastic lenses polarization-insensitive achieve broadband achromatic imaging within 400–700 nm FOV up 100°. The system exhibits negligible variation in focal length (~1.2%) across visible range (460–656 nm) consistently achieves modulation transfer function (MTF) values > 0.2 at 167 lp/mm all wavelengths incident angles. We also integrated lens modules that capture high-quality images from distances ranging between 0.5 4 m without post-processing, showcasing its potential compact, wide-angle optical systems.

Язык: Английский

Процитировано

0