IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-43473-y.html
   My bibliography  Save this article

Real-data-driven real-time reconfigurable microwave reflective surface

Author

Listed:
  • Erda Wen

    (University of California San Diego)

  • Xiaozhen Yang

    (University of California San Diego)

  • Daniel F. Sievenpiper

    (University of California San Diego)

Abstract

Manipulating the electromagnetic (EM) scattering behavior from an arbitrary surface dynamically on arbitrary design goals is an ultimate ambition for many EM stealth and communication problems, yet it is nearly impossible to accomplish with conventional analysis and optimization techniques. Here we present a reconfigurable conformal metasurface prototype as well as a workflow that enables it to respond to multiple design targets on the reflection pattern with extremely low on-site computing power and time. The metasurface is driven by a sequential tandem neural network which is pre-trained using actual experimental data, avoiding any possible errors that may arise from calculation, simulation, or manufacturing tolerances. This platform empowers the surface to operate accurately in a complex environment including varying incident angle and operating frequency, or even with other scatterers present close to the surface. The proposed data-driven approach requires minimum amount of prior knowledge and human effort yet provides maximized versatility on the reflection control, stepping towards the end form of intelligent tunable EM surfaces.

Suggested Citation

  • Erda Wen & Xiaozhen Yang & Daniel F. Sievenpiper, 2023. "Real-data-driven real-time reconfigurable microwave reflective surface," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43473-y
    DOI: 10.1038/s41467-023-43473-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-43473-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-43473-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Seyedeh Mahsa Kamali & Amir Arbabi & Ehsan Arbabi & Yu Horie & Andrei Faraon, 2016. "Decoupling optical function and geometrical form using conformal flexible dielectric metasurfaces," Nature Communications, Nature, vol. 7(1), pages 1-7, September.
    2. Kedi Wu & Philippe Coquet & Qi Jie Wang & Patrice Genevet, 2018. "Modelling of free-form conformal metasurfaces," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    3. Weihan Li & Qian Ma & Che Liu & Yunfeng Zhang & Xianning Wu & Jiawei Wang & Shizhao Gao & Tianshuo Qiu & Tonghao Liu & Qiang Xiao & Jiaxuan Wei & Ting Ting Gu & Zhize Zhou & Fashuai Li & Qiang Cheng &, 2023. "Intelligent metasurface system for automatic tracking of moving targets and wireless communications based on computer vision," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xin Wang & Jia Qi Han & Guan Xuan Li & De Xiao Xia & Ming Yang Chang & Xiang Jin Ma & Hao Xue & Peng Xu & Rui Jie Li & Kun Yi Zhang & Hai Xia Liu & Long Li & Tie Jun Cui, 2023. "High-performance cost efficient simultaneous wireless information and power transfers deploying jointly modulated amplifying programmable metasurface," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    2. Tianshuo Qiu & Qiang An & Jianqi Wang & Jiafu Wang & Cheng-Wei Qiu & Shiyong Li & Hao Lv & Ming Cai & Jianyi Wang & Lin Cong & Shaobo Qu, 2024. "Vision-driven metasurfaces for perception enhancement," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. Wenzhi Li & Qiyue Yu & Jing Hui Qiu & Jiaran Qi, 2024. "Intelligent wireless power transfer via a 2-bit compact reconfigurable transmissive-metasurface-based router," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43473-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.