Intelligent metasurfaces: control, communication and computing

eLight, Год журнала: 2022, Номер 2(1)

Опубликована: Май 6, 2022

Abstract Controlling electromagnetic waves and information simultaneously by metasurfaces is of central importance in modern society. Intelligent are smart platforms to manipulate the wave–information–matter interactions without manual intervention synergizing engineered ultrathin structures with active devices algorithms, which evolve from passive composite materials for tailoring wave–matter that cannot be achieved nature. Here, we review recent progress intelligent controls providing historical background underlying physical mechanisms. Then explore application developing novel wireless communication architectures, particular emphasis on metasurface-modulated backscatter communications. We also wave-based computing using metasurfaces, focusing emerging research direction sensing. Finally, comment challenges highlight potential routes further developments controls, communications computing.

Язык: Английский

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Breaking the limitation of polarization multiplexing in optical metasurfaces with engineered noise

Science, Год журнала: 2023, Номер 379(6629), С. 294 - 299

Опубликована: Янв. 19, 2023

Noise is usually undesired yet inevitable in science and engineering. However, by introducing the engineered noise to precise solution of Jones matrix elements, we break fundamental limit polarization multiplexing capacity metasurfaces that roots from dimension constraints matrix. We experimentally demonstrate up 11 independent holographic images using a single metasurface illuminated visible light with different polarizations. To best our knowledge, it highest reported for multiplexing. Combining position scheme, can generate 36 distinct images, forming keyboard pattern. This discovery implies new paradigm high-capacity optical display, information encryption, data storage.

Язык: Английский

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Multicolor and 3D Holography Generated by Inverse‐Designed Single‐Cell Metasurfaces

Advanced Materials, Год журнала: 2022, Номер 35(17)

Опубликована: Дек. 28, 2022

Metasurface-generated holography has emerged as a promising route for fully reproducing vivid scenes by manipulating the optical properties of light using ultra-compact devices. However, achieving multiple holographic images single metasurface is still difficult due to capacity limit meta-atom. In this work, an inverse design method based on gradient-descent optimization presented encode pieces information into metasurface. The proposed allows single-cell metasurfaces without need complex meta-atom strategies, facilitating high-throughput fabrication broadband low-loss materials. By exploiting method, both multiplane red-green-blue (RGB) color and three-dimensional (3D) holograms are designed experimentally demonstrated. Multiplane RGB with nine distinct achieved, which demonstrate state-of-the-art data phase-only first experimental demonstration metasurface-generated 3D completely independent in each plane also presented. current research findings provide viable practical demonstrating high-density produced It expected ultimately lead storage, display, full-color imaging applications.

Язык: Английский

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Recent advances in metasurface design and quantum optics applications with machine learning, physics-informed neural networks, and topology optimization methods

Light Science & Applications, Год журнала: 2023, Номер 12(1)

Опубликована: Июль 7, 2023

Abstract As a two-dimensional planar material with low depth profile, metasurface can generate non-classical phase distributions for the transmitted and reflected electromagnetic waves at its interface. Thus, it offers more flexibility to control wave front. A traditional design process mainly adopts forward prediction algorithm, such as Finite Difference Time Domain, combined manual parameter optimization. However, methods are time-consuming, is difficult keep practical meta-atom spectrum being consistent ideal one. In addition, since periodic boundary condition used in process, while aperiodic array simulation, coupling between neighboring meta-atoms leads inevitable inaccuracy. this review, representative intelligent introduced discussed, including machine learning, physics-information neural network, topology optimization method. We elaborate on principle of each approach, analyze their advantages limitations, discuss potential applications. also summarize recent advances enabled metasurfaces quantum optics short, paper highlights promising direction designs applications future research serves an up-to-date reference researchers metamaterial fields.

Язык: Английский

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Revisiting the Design Strategies for Metasurfaces: Fundamental Physics, Optimization, and Beyond

Advanced Materials, Год журнала: 2022, Номер 35(43)

Опубликована: Сен. 25, 2022

Over the last two decades, capabilities of metasurfaces in light modulation with subwavelength thickness have been proven, and are expected to miniaturize conventional optical components add various functionalities. Herein, metasurface design strategies reviewed thoroughly. First, scalar diffraction theory is revisited provide basic principle propagation. Then, widely used methods based on unit-cell approach discussed. The include a set simplified steps, including phase-map retrieval meta-atom design. recently emerging that may not be accurately designed using introduced. Unconventional examined where fail finally potential for such

Язык: Английский

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Machine learning and deep learning in phononic crystals and metamaterials – A review

Materials Today Communications, Год журнала: 2022, Номер 33, С. 104606 - 104606

Опубликована: Окт. 4, 2022

Язык: Английский

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Matrix Diffractive Deep Neural Networks Merging Polarization into Meta‐Devices

Laser & Photonics Review, Год журнала: 2023, Номер 18(2)

Опубликована: Окт. 25, 2023

Abstract The all‐optical diffractive deep neural networks (D 2 NNs) framework as a hardware platform is demonstrated to implement various advanced functional meta‐devices with high parallelism and processing speed. However, the design methodology merging trainable polarization modulation neurons into D NNs, which potentially possess higher integration more task‐loading capacity, not yet fully explored. Here, matrix (M‐D are proposed deploy polarization‐sensitive Jones metasurfaces multiplexing perform sophisticated inference tasks well inverse designs for meta‐devices. Three functionalities implemented by M‐D that is, task‐capacity classification, non‐interleaved high‐efficiency eight‐channel regulation, custom‐polarization information cryptographic multiplexing. NNs provide new strategy merge electromagnetic optical field modulators metasurfaces, may drive evolution of toward multi‐task devices.

Язык: Английский

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Metasurfaces designed by a bidirectional deep neural network and iterative algorithm for generating quantitative field distributions

Deleted Journal, Год журнала: 2023, Номер 4(2), С. 1 - 1

Опубликована: Янв. 1, 2023

Язык: Английский

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Broadband Solar Metamaterial Absorbers Empowered by Transformer‐Based Deep Learning

Advanced Science, Год журнала: 2023, Номер 10(13)

Опубликована: Фев. 28, 2023

The research of metamaterial shows great potential in the field solar energy harvesting. In past decade, design broadband absorber (SMA) has attracted a surge interest. conventional typically requires brute-force optimizations with huge sampling space structure parameters. Very recently, deep learning (DL) provided promising way design, but its application on SMA development is barely reported due to complicated features spectrum. Here, this work develops DL model based spectrum transformer (MST) for powerful high-performance SMAs. MST divides optical into N patches, which overcomes severe problem overfitting traditional and boosts capability significantly. A flexible tool free customer definition developed facilitate real-time on-demand metamaterials various functions. scheme applied fabrication SMAs graded-refractive-index nanostructures. They demonstrate high average absorptance 94% broad exhibit exceptional advantages over many state-of-the-art counterparts. outdoor testing implies high-efficiency collection about 1061 kW h m-2 from radiation annually. This paves rapid smart SMA, will also provide developing other metadevices.

Язык: Английский

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Multi‐Dimensional Multiplexed Metasurface Holography by Inverse Design

Advanced Materials, Год журнала: 2024, Номер 36(21)

Опубликована: Фев. 19, 2024

Abstract Multi‐dimensional multiplexed metasurface holography extends holographic information capacity and promises revolutionary advancements for vivid imaging, storage, encryption. However, achieving multifunctional by forward design method is still difficult because it relies heavily on Jones matrix engineering, which places high demands physical knowledge processing technology. To break these limitations simplify the process, here, an end‐to‐end inverse framework proposed. By directly linking to reconstructed images employing a loss function guide update of metasurface, calculation hologram can be omitted; thus, greatly simplifying process. In addition, requirements completeness meta‐library also significantly reduced, allowing multi‐channel achieved using meta‐atoms with only two degrees freedom, very friendly processing. exploiting proposed method, containing up 12 channels multi‐wavelength, multi‐plane, multi‐polarization designed experimentally demonstrated, exhibits state‐of‐the‐art multiplexing composed simple meta‐atoms. This conducive promoting intelligent meta‐devices, expected eventually accelerate application meta‐devices in colorful display, storage other fields.

Язык: Английский

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