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  3. Multifunctional Movable-type Coding Metasurface Enabling Reconfigurable Diffractive Neural Networks.
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  3. Multifunctional Movable-type Coding Metasurface Enabling Reconfigurable Diffractive Neural Networks.

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Multifunctional movable-type coding metasurface enabling reconfigurable diffractive neural networks.

Zhicai Yu1,2, Xinyu Li1,2, Ze Gu1,2

  • 1State Key Laboratory of Millimeter Wave, Southeast University, Nanjing, China.

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|February 26, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Researchers developed a novel movable-type coding metasurface for reconfigurable optical computing. This innovation enables versatile applications in electromagnetic computing, holography, and sensing with enhanced flexibility and scalability.

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Area of Science:

  • Photonics and Metamaterials
  • Optical Computing Architectures
  • Applied Electromagnetics

Background:

  • Optical computing offers advantages like low latency and power efficiency.
  • Current diffraction neural networks (DNNs) lack reconfigurability, hindering scalability.
  • Metasurfaces provide a platform for novel optical functionalities.

Purpose of the Study:

  • To propose a movable-type coding metasurface for reconfigurable optical functionalities.
  • To develop a movable-type reconfigurable DNN (MT-RDNN) for adaptable classification tasks.
  • To demonstrate versatile applications in electromagnetic computing, holography, and sensing.

Main Methods:

  • Designing and fabricating movable-type coding metasurfaces inspired by printing technology.
  • Cascading metasurface layers to create a reconfigurable DNN (MT-RDNN).
  • Rearranging meta-atoms for modular reconfiguration of functionalities.

    • Main Results:

    • The MT-RDNN successfully adapted from digit to letter classification by replacing meta-atoms.
    • A single-layer metasurface performed electromagnetic holography and vital sign sensing.
    • Demonstrated simple reconfiguration, high flexibility, and modular scalability.

    Conclusions:

    • The movable-type coding metasurface enables versatile and reusable optical computing, holography, and sensing.
    • This technology overcomes the reconfigurability limitations of current DNNs.
    • The modular design offers significant potential for scalable optical systems.