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short-paper

Work in Progress: Intelligent Metasurface Holograms

Authors:

Tie Jun CuiAuthors Info & Claims

NanoCoCoA '20: Proceedings of the 1st ACM International Workshop on Nanoscale Computing, Communication, and Applications

Pages 45 - 48

https://doi.org/10.1145/3416006.3431276

Published: 16 November 2020 Publication History

Abstract

Intelligent metasurfaces are information metasurfaces driven by artificial intelligence (AI), which are designed for manipulating the electromagnetic (EM) wavefront and/or the carried dataflow in programmable and smart ways, and thus hold important potentials in the modern society. However, the design of intelligent metasurface hologram, i.e., the information-carrying coding pattern on the metasurface, remains an open challenging problem due to the complicated EM coupling effects between the meta-atoms of metasurface, especially for the accurate manipulation of EM wave information. Here, starting from the fundamental Maxwell's three-dimensional (3D) full-vectorial integral equations, we present a discrete optimization algorithm to design the intelligent metasurface holograms, which allows us to generate the desirable EM holography with very high resolution and efficiency even with 1 -bit phased-coded intelligent metasurface. Selected simulation and experimental results are provided to demonstrate the performance of the proposed strategy. The proposed method could be extended over the entire EM spectra and beyond in a straightforward manner, and could bring us important advances in various applications such as IoT, microscopy, security scanning, and so on.

References

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Tie Jun Cui, Lianlin Li, Shuo Liu, Qian Ma and Qiang Cheng, 2020. Information metamaterial systems. iScience, 23, 8 (2020), 101403.

[2]

Lianlin Li and Tie Jun Cui, 2019. Information metamaterials - from effective media to real-time information processing systems. Nanophotonics, 8, 5 (May 2019), 703--724.

[3]

Tie Jun Cui, Shuo Liu and Lei Zhang, 2017. Information metamaterials and metasurfaces. Journal of Materials Chemistry C, 5, 15 (Apr 21 2017), 3644--3668.

[4]

Tie Jun Cui, Mei Qing Qi, Xiang Wan, Jie Zhao and Qiang Cheng, 2014. Coding metamaterials, digital metamaterials and programmable metamaterials. Light-Science & Applications, 3 (Oct 2014), e218.

[5]

Lei Zhang, Xiao Qing Chen, Shuo Liu, Qian Zhang, Jie Zhao, Jun Yan Dai, Guo Dong Bai, Xiang Wan, Qiang Cheng, Giuseppe Castaldi, Vincenzo Galdi and Tie Jun Cui, 2018. Space-time-coding digital metasurfaces. Nature Communications, 9 (Oct 2018).

[6]

Tie Jun Cui, Shuo Liu, Guo Dong Bai and Qian Ma, 2019. Direct transmission of digital message via programmable coding metasurface. Research, 2019 (2019), 2584509.

[7]

Jie Zhao, Xi Yang, Jun Yan Dai, Qiang Cheng, Xiang Li, Ning Hua Qi, Jun Chen Ke, Guo Dong Bai, Shuo Liu, Shi Jin, Andrea Alu and Tie Jun Cui, 2019. Programmable time-domain digital-coding metasurface for non-linear harmonic manipulation and new wireless communication systems. National Science Review, 6, 2 (Mar 2019), 231--238.

[8]

Ya Shuang, Hanting Zhao, Wei Ji, Tie Jun Cui and Lianlin Li, 2020. Programmable high-order OAM-carrying beams for direct-modulation wireless communications. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10, 1 (Mar 2020), 29--37.

[9]

Hanting Zhao, Ya Shuang, Menglin Wei, Tie Jun Cui, Philipp Del Hougne and Lianlin Li, 2020. Metasurface-assisted massive backscatter wireless communication with commodity Wi-Fi signals. Nature communications, 11, 1 (Aug 2020), 3926--3926.

[10]

Lianlin Li, Hengxin Ruan, Che Liu, Ying Li, Ya Shuang, Andrea Alu, Cheng-Wei Qiu and Tie Jun Cui, 2019. Machine-learning reprogrammable metasurface imager. Nature Communications, 10 (Mar 6 2019).

[11]

Lianlin Li, Ya Shuang, Qian Ma, Haoyang Li, Hanting Zhao, Menglin Wei, Che Liu, Chenglong Hao, Cheng-Wei Qiu and Tie Jun Cui, 2019. Intelligent metasurface imager and recognizer. Light-Science & Applications, 8 (Oct 21 2019).

[12]

HaoYang Li, HanTing Zhao, MengLin Wei, HengXin Ruan, Ya Shuang, Tie Jun Cui, Philipp del Hougne and Lianlin Li, 2020. Intelligent electromagnetic sensing with learnable data acquisition and processing. Patterns, 1, 1 (Apr 2020), 100006.

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Junwei Wu, Zhengxing Wang, Lei Zhang, Qiang Cheng, Shuo Liu, Shuang Zhang, Jiming Song and Cui. Tie Jun, 2020. Anisotropic metasurface holography in 3D space with high resolution and efficiency. IEEE Transactions on Antennas and Propagation (2020), 1--1.

[15]

Lianlin Li, Tie Jun Cui, Wei Ji, Shuo Liu, Jun Ding, Xiang Wan, Yun Bo Li, Menghua Jiang, Chengwei Qiu and Shuang Zhang, 2017. Electromagnetic reprogrammable coding-metasurface holograms. Nature Communications, 8 (Aug 2017), 197.

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Jie Li, Yating Zhang, Jining Li, Xin Yan, Lanju Liang, Zhang Zhang, Jin Huang, Jiahui Li, Yue Yang and Jianquan Yao, 2019. Amplitude modulation of anomalously reflected terahertz beams using all-optical active Pancharatnam-Berry coding metasurfaces. Nanoscale, 11, 12 (Mar 28 2019), 5746--5753.

Cited By

Zhang TKee CAng YLi EAng L(2022)Symmetry Enhanced Network Architecture Search for Complex Metasurface DesignIEEE Access10.1109/ACCESS.2022.319041910(73533-73547)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3190419
Zhang TKee CAng YAng L(2021)Deep learning-based design of broadband GHz complex and random metasurfacesAPL Photonics10.1063/5.00615716:10(106101)Online publication date: 1-Oct-2021
https://doi.org/10.1063/5.0061571

Index Terms

Work in Progress: Intelligent Metasurface Holograms
1. Theory of computation
  1. Theory and algorithms for application domains
    1. Machine learning theory

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Published In

cover image ACM Conferences

NanoCoCoA '20: Proceedings of the 1st ACM International Workshop on Nanoscale Computing, Communication, and Applications

November 2020

55 pages

ISBN:9781450381161

DOI:10.1145/3416006

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 16 November 2020

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Short-paper
Research
Refereed limited

Funding Sources

National Key Research and Development Program of China

Conference

SenSys '20

Sponsor:

SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems

November 16, 2020

Virtual Event, Japan

Acceptance Rates

NanoCoCoA '20 Paper Acceptance Rate 5 of 12 submissions, 42%;

Overall Acceptance Rate 5 of 12 submissions, 42%

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Cited By

Zhang TKee CAng YLi EAng L(2022)Symmetry Enhanced Network Architecture Search for Complex Metasurface DesignIEEE Access10.1109/ACCESS.2022.319041910(73533-73547)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3190419
Zhang TKee CAng YAng L(2021)Deep learning-based design of broadband GHz complex and random metasurfacesAPL Photonics10.1063/5.00615716:10(106101)Online publication date: 1-Oct-2021
https://doi.org/10.1063/5.0061571

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