All-Dielectric Phase-Gradient Metasurface Performing High-Efficiency Anomalous Transmission in the Near-Infrared Region

Wu, Tong; Liu, Zhihui; Wang, Yiping; Zhang, Huixian; Yang, Zuning; Cao, Wenda; Yang, Dan

doi:10.1186/s11671-021-03616-w

Cited by 9 publications

(4 citation statements)

References 42 publications

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“…This corresponds to a maximum nanoantenna volume variation of 2.6%. In contrast, traditional resonant approaches require changes approaching 50%. , This extreme sensitivity to nanoantenna dimensions, while intriguing in its own right, will also be incredibly useful for active and nonlinear applications. ,, Below, we elaborate on the mechanism underlying this prototypical metasurface platform and how it can be generalized to various optical transfer functions.…”

Section: Resultsmentioning

confidence: 99%

Universal Narrowband Wavefront Shaping with High Quality Factor Meta-Reflect-Arrays

Lin

Dagli

et al. 2023

Nano Lett.

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Optical metasurfaces offer unprecedented flexibility in light wave manipulation but suffer weak resonant enhancement. Tackling this problem, we experimentally unveil a new phase gradient metasurface platform made entirely from individually addressable high quality factor (high-Q) silicon meta-atoms. Composed of pairs of nearly identical nanoblocks, these meta-atoms support dipolar-guided-mode resonances that, due to the controlled suppression of radiation loss, serve as highly sensitive phase pixels when placed above a mirror. A key novelty of this platform lies in the vanishingly small structural perturbations needed to produce universal phase fronts. Having fabricated elements with Q-factor ∼380 and spaced by λ/1.2, we achieve strong beam steering, up to 59% efficient, to angles 32.3°, 25.3°, and 20.9°, with variations in nanoantenna volume fractions across the metasurfaces of ≤2.6%, instead of >50% required by traditional versions. Aside from extreme sensitivity, the metasurfaces exhibit near-field intensity enhancement over 1000×. Taken together, these properties represent an exciting prospect for dynamic and nonlinear wave shaping.

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Section: Resultsmentioning

confidence: 99%

Universal Narrowband Wavefront Shaping with High Quality Factor Meta-Reflect-Arrays

Lin

Dagli

et al. 2023

Nano Lett.

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“…This corresponds to a maximum variation in nanoantenna volume of 2.6%. In contrast, traditional resonant approaches require changes in the volume of metasurface elements approaching 50%, to achieve a full 2π phase gradient 43,44 . This extreme sensitivity to nanoantenna dimensions, while intriguing in its own right, will also be incredibly useful for active and nonlinear applications 40,42,45 .…”

Section: Resultsmentioning

confidence: 99%

Universal narrowband wavefront shaping with high quality factor meta-reflect-arrays

Lawrence

Lin

et al. 2022

Preprint

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Optical metasurfaces offer unprecedented flexibility in light wave manipulation but suffer weak resonant enhancement. Tackling this problem, we experimentally unveil a new phase gradient metasurface platform made entirely from individually addressable high-quality-factor (high-Q) silicon meta-atoms. Composed of pairs of nearly identical nano-blocks, these meta-atoms support dipolar-guided-mode-resonances that, due to the controlled suppression of radiation loss, serve as highly sensitive phase pixels when placed above a mirror. A key novelty of this platform lies in the vanishingly small structural perturbations needed to produce universal phase-fronts. Having fabricated elements with Q-factor~380 and spaced by λ/1.2, we achieve strong beam steering, up to 59% efficient, to angles 32.2°, 25.3°and 20.9° with variations in nanoantenna volume fractions across the metasurfaces of ≤2.6%, instead of >50% required by traditional versions. Aside from extreme sensitivity, the metasurfaces exhibit nearfield intensity enhancement over 1000x. Taken together, these properties represent an exciting prospect for dynamic and nonlinear wave-shaping.

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“…By optimizing the unit cell, it is possible to precisely control the amplitude, phase, and polarization of electromagnetic waves. Various types of metasurfaces are generated, including holographic [1], electromagnetic-focused [2], phase gradient [3], and polarization control metasurfaces [4][5][6][7]. This makes metasurfaces have broad application prospect in fields such as communication [8], optical devices [9], and radar systems [10].…”

Section: Introductionmentioning

confidence: 99%

Frequency-extended inverse design of transmission-type linear-to-circular polarization control metasurface based on deep learning

Hu,

Ma,

Zhang

et al. 2024

Phys. Scr.

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Due to the parameter range limitations of the training dataset, traditional inverse prediction network models can only predict structure parameters of the metasurface within a limited frequency range. When the given design targets exceed the prediction range of network models, the predicted results will not match the actual results. This paper proposes a frequency-extended inverse design method (FEIDM) based on deep learning to address the problem. The method can automatically collect the required data and train the network model based on the center working frequency of the design targets, thereby achieving accurate prediction of metasurface structural parameters and effectively reducing labor and computational costs. Taking the transmission-type linear-to-circular polarization control metasurface as an example, the unit cell of the metasurface is first established in the paper. The structural parameters and corresponding electromagnetic parameters were collected without changing the unit size of the metasurface, and an initial inverse prediction network model (IIPNM) was constructed. The research results indicate that its predictable center working frequency range is 3-5.5 GHz. Using the design concept proposed in this paper, a program was constructed, it can automatically achieve data collection, target extraction, network model training, and prediction. Four given design targets were predicted. Among them, the center working frequencies of the three design targets are outside the initial predictable range. The predicted results meet the requirements of the given target, verifying the effectiveness of the proposed scheme. Finally, a set of parameters was selected to fabricate, and the experimental results are consistent with the simulation results. The research results can provide a reference for the efficient prediction of metasurface structural parameters over a wide frequency band.

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All-Dielectric Phase-Gradient Metasurface Performing High-Efficiency Anomalous Transmission in the Near-Infrared Region

Cited by 9 publications

References 42 publications

Universal Narrowband Wavefront Shaping with High Quality Factor Meta-Reflect-Arrays

Universal Narrowband Wavefront Shaping with High Quality Factor Meta-Reflect-Arrays

Universal narrowband wavefront shaping with high quality factor meta-reflect-arrays

Frequency-extended inverse design of transmission-type linear-to-circular polarization control metasurface based on deep learning

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