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Reconfigurable image processing metasurfaces with phase-change materials

Author

Listed:
  • Michele Cotrufo

    (City University of New York
    University of Rochester)

  • Shaban B. Sulejman

    (The University of Melbourne)

  • Lukas Wesemann

    (The University of Melbourne)

  • Md. Ataur Rahman

    (RMIT University)

  • Madhu Bhaskaran

    (RMIT University
    RMIT University)

  • Ann Roberts

    (The University of Melbourne)

  • Andrea Alù

    (City University of New York
    Graduate Center of the City University of New York)

Abstract

Optical metasurfaces have enabled analog computing and image processing within sub-wavelength footprints, and with reduced power consumption and faster speeds. While various image processing metasurfaces have been demonstrated, most of the considered devices are static and lack reconfigurability. Yet, the ability to dynamically reconfigure processing operations is key for metasurfaces to be used within practical computing systems. Here, we demonstrate a passive edge-detection metasurface operating in the near-infrared regime whose response can be drastically modified by temperature variations smaller than 10 °C around a CMOS-compatible temperature of 65 °C. Such reconfigurability is achieved by leveraging the insulator-to-metal phase transition of a thin layer of vanadium dioxide, which strongly alters the metasurface nonlocal response. Importantly, this reconfigurability is accompanied by performance metrics—such as numerical aperture, efficiency, isotropy, and polarization-independence – close to optimal, and it is combined with a simple geometry compatible with large-scale manufacturing. Our work paves the way to a new generation of ultra-compact, tunable and passive devices for all-optical computation, with potential applications in augmented reality, remote sensing and bio-medical imaging.

Suggested Citation

  • Michele Cotrufo & Shaban B. Sulejman & Lukas Wesemann & Md. Ataur Rahman & Madhu Bhaskaran & Ann Roberts & Andrea Alù, 2024. "Reconfigurable image processing metasurfaces with phase-change materials," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48783-3
    DOI: 10.1038/s41467-024-48783-3
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    References listed on IDEAS

    as
    1. Tengfeng Zhu & Cheng Guo & Junyi Huang & Haiwen Wang & Meir Orenstein & Zhichao Ruan & Shanhui Fan, 2021. "Topological optical differentiator," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    2. Tengfeng Zhu & Yihan Zhou & Yijie Lou & Hui Ye & Min Qiu & Zhichao Ruan & Shanhui Fan, 2017. "Plasmonic computing of spatial differentiation," Nature Communications, Nature, vol. 8(1), pages 1-6, August.
    3. Sajjad Abdollahramezani & Omid Hemmatyar & Mohammad Taghinejad & Hossein Taghinejad & Alex Krasnok & Ali A. Eftekhar & Christian Teichrib & Sanchit Deshmukh & Mostafa A. El-Sayed & Eric Pop & Matthias, 2022. "Electrically driven reprogrammable phase-change metasurface reaching 80% efficiency," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    4. Tengfeng Zhu & Cheng Guo & Junyi Huang & Haiwen Wang & Meir Orenstein & Zhichao Ruan & Shanhui Fan, 2021. "Publisher Correction: Topological optical differentiator," Nature Communications, Nature, vol. 12(1), pages 1-1, December.
    5. Michele Cotrufo & Akshaj Arora & Sahitya Singh & Andrea Alù, 2023. "Dispersion engineered metasurfaces for broadband, high-NA, high-efficiency, dual-polarization analog image processing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    6. Anqi Ji & Jung-Hwan Song & Qitong Li & Fenghao Xu & Ching-Ting Tsai & Richard C. Tiberio & Bianxiao Cui & Philippe Lalanne & Pieter G. Kik & David A. B. Miller & Mark L. Brongersma, 2022. "Quantitative phase contrast imaging with a nonlocal angle-selective metasurface," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
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