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January 20, 2026Laser & Photonics Review1 citations

Stretchable Microwave Metasurface With Inherently Deformation‐Unperturbed Performance

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FLFan LiTPTaisong PanLZLe Zuo

Key Points

  • This research aims to develop a stretchable microwave metasurface that retains performance despite mechanical deformation.
  • Designed stretchable metasurface using machine learning algorithms.
  • Utilized simulation and experimental datasets for electromagnetic response analysis.
  • Investigated performance under tensile strain up to 20%.
  • Achieved consistent beam-steering performance with angular deviation ≤ 2°.
  • Enabled stable wireless communication in the 7.75–8.25 GHz band with ≤ 1.5 dB error vector magnitude variation.
  • Reduced radar cross-section by over 10 dB across 7.5–8.5 GHz.

Abstract

ABSTRACT Creating a stretchable microwave metasurface capable of maintaining stable performance without relying on active tunable components is crucial for low‐cost, large‐scale, conformal, and shape‐adaptive electromagnetic wave manipulation. Current design paradigms leveraging simulations and theoretical predictions with deterministic metasurface geometries suffer from significantly high computational overhead to achieve this goal. Here, we present a stretchable metasurface (SM) that maintains consistent beam‐steering performance under external mechanical loading, designed through a machine learning‐based algorithm guided by simulation and experimental datasets of SM's electromagnetic responses to the deformation. The SM with hierarchical I‐shaped meta‐atoms exhibits robust beam‐steering performance (angular deviation ≤ 2°) under tensile strain up to 20%, enabling stable wireless communication in the 7.75–8.25 GHz band with an error vector magnitude variation of ≤ 1.5 dB. Additionally, an SM capable of consistently reducing the radar cross‐section by over 10 dB across 7.5–8.5 GHz is also realized with the proposed design approach.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/696f1ac19e64f732b51eefa1https://doi.org/10.1002/lpor.202502669
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