Visible-infrared dual-spectral window metamaterial compatible with excellent electromagnetic shielding and high X-band absorption

Lei Wang, Cuilian Xu, Jian Liu, Zuntian Chu, Hao Yang, Jun Wang +3 · Optica Publishing Group · 2025

This research presents a metamaterial that achieves dual-spectral transparency and effective electromagnetic shielding for optoelectronic systems.

High AI ConfidenceStrong SourceSimulationEarly Research

Plain English summary

The paper introduces a new type of metamaterial designed for use in optoelectronic systems, which combines transparency in both visible and infrared light with effective electromagnetic shielding. The material is constructed using a double-layer indium tin oxide micro-nano structure on a ZnS substrate, allowing it to meet multiple performance criteria simultaneously.

Why this matters

This research addresses the need for materials that can provide both visibility and protection from electromagnetic interference in advanced optoelectronic applications. By improving the performance of transparent shielding materials, it could enhance the functionality and durability of electronic devices in complex environments.

Key findings

  • Achieves high transmittance in visible light and infrared bands.
  • Electromagnetic shielding efficiency exceeds 20 dB in the 100 MHz to 1 GHz range.
  • Absorption rate in the X-band exceeds 90%.
  • Utilizes a novel micro-nano structure design for enhanced performance.
  • Breaks traditional limitations of transparent shielding materials.

What's new

The metamaterial integrates dual-spectral transparency with high electromagnetic shielding and radar stealth, overcoming limitations of existing materials.

Limitations

The abstract does not provide details on practical applications or commercial readiness of the material.

Commercial context

The research is still in the theoretical modeling and simulation stage, with no indication of commercial availability.

Publication

Publisher
Optica Publishing Group
Publication date
November 13, 2025
Research type
Paper
License
https://doi.org/10.1364/OA_License_v2#VOR-OA

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18