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  3. Artificial Intelligence-driven Metasurfaces Spanning Multidimensional Light Field Control And Free Space Computing.
  1. Home
  3. Artificial Intelligence-driven Metasurfaces Spanning Multidimensional Light Field Control And Free Space Computing.

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Artificial Intelligence-Driven Metasurfaces Spanning Multidimensional Light Field Control and Free Space Computing.

Yuchao Wang1,2, Zining Wang1,2, Kaifan Li1,2

  • 1Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China.

Micromachines
|June 26, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing metasurface design, enabling complex light manipulation and optical computing. AI algorithms accelerate inverse design and control of optical fields for next-generation photonic systems.

Keywords:
artificial intelligencediffractive neural networksfree-space optical computinginverse designmeta-optics

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Area of Science:

  • Photonics and Optics
  • Artificial Intelligence
  • Materials Science

Background:

  • Metasurfaces offer unprecedented light manipulation capabilities beyond conventional optics.
  • Traditional metasurface design struggles with complex, multifunctional requirements and high-dimensional design spaces.

Purpose of the Study:

  • To review the integration of artificial intelligence (AI) in metasurface design and applications.
  • To highlight AI's role in overcoming limitations of traditional design approaches.
  • To explore AI-empowered metasurfaces for optical computing and advanced photonic systems.

Main Methods:

  • Summarizing fundamental principles of optical field manipulation and metasurface design algorithms.
  • Detailing AI approaches like deep neural networks and generative models for inverse design and performance prediction.
  • Discussing AI-assisted strategies for controlling spatial, spectral, and polarization properties of light.

    • Main Results:

    • AI significantly enhances the speed and capability of metasurface inverse design.
    • AI enables precise control over multiple degrees of freedom in optical fields.
    • AI-empowered metasurfaces show promise for advanced optical information processing and computing.

    Conclusions:

    • AI integration with meta-optics provides a powerful framework for next-generation photonic systems.
    • AI facilitates the development of multifunctional metasurfaces and autonomous photonic systems.
    • AI-driven metasurfaces are key to advancing high-capacity optical computing.