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Properties of the z-Transform I01:17

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Physics-Informed Inverse Design of Programmable Metasurfaces.

Yucheng Xu1,2, Jia-Qi Yang3, Kebin Fan1,2

  • 1Research Institute of Superconductor Electronics (RISE) & Key Laboratory of Optoelectronic Devices and Systems with Extreme Performances of MOE, School of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|September 5, 2024
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Summary

Researchers developed a physics-informed inverse design approach for programmable metasurfaces, enhancing terahertz beam steering capabilities with greater phase tuning and design accuracy. This breakthrough accelerates the development of advanced metasurface devices for communication and imaging.

Keywords:
beam steeringdeep learninginverse designprogrammable metasurfaces

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Area of Science:

  • Metasurfaces and electromagnetic wave manipulation.
  • Terahertz (THz) technology and applications.
  • Advanced material science and device engineering.

Background:

  • Reconfigurable metasurfaces enable programmatic control of electromagnetic waves, crucial for terahertz applications.
  • Current metasurface designs face limitations in tunability and phase tuning (e.g., <270°) due to time-intensive forward design methods.
  • Enhanced phase tuning and beam steering are critical for advancing terahertz communication and imaging.

Purpose of the Study:

  • To demonstrate a multi-bit programmable metasurface for enhanced terahertz beam steering.
  • To introduce a physics-informed inverse design (PIID) approach for metasurface design.
  • To overcome limitations in phase tuning and design accuracy associated with conventional methods.

Main Methods:

  • Development of a physics-informed inverse design (PIID) algorithm integrating modified coupled mode theory (MCMT) with residual neural networks.
  • Utilizing PIID to establish intricate physical relations between metasurface geometry and electromagnetic modes.
  • Experimental validation of the inverse-designed programmable beam steering metasurface.

Main Results:

  • Achieved enhanced phase tuning up to 300° without compromising reflection intensity.
  • Demonstrated a multi-bit programmable metasurface capable of terahertz beam steering with a deflection angle up to 68°.
  • PIID approach significantly improved design accuracy and elucidated physical design principles compared to traditional neural networks.

Conclusions:

  • The PIID approach offers a promising pathway for rapid exploration and design of advanced metasurface devices.
  • The demonstrated programmable beam steering metasurface shows adaptability across various coding schemes (1-bit, 2-bit, tri-state).
  • This work has significant potential impact on future terahertz communication and imaging technologies.