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Machine Learning-Assisted Design of Infrared-Radar-Visible Light Compatible Stealth Flexible Metamaterial Structures.

Hao Liu^1,2, Chao Xiong¹, Xue Du¹

¹Shijiazhuang Campus, Army Engineering University of PLA, Shijiazhuang 050003, China.

ACS Applied Materials & Interfaces

|June 8, 2026

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This summary is machine-generated.

This study presents a novel metamaterial structure for multispectral compatible stealth, enhancing performance across infrared, radar, and visible light spectra. The flexible design achieves spectral decoupling and adaptive camouflage for advanced stealth applications.

Area of Science:

Materials Science
Metamaterials
Optics and Photonics

Background:

Modern detection systems necessitate advanced stealth capabilities across multiple spectra.
Existing stealth technologies often face compatibility issues between different spectral ranges (infrared, radar, visible light).

Purpose of the Study:

To develop a flexible gradient metamaterial structure for effective multispectral compatible stealth.
To achieve spectral decoupling and enhance stealth performance across infrared, radar, and visible light spectra.

Main Methods:

Designed a multispectral compatible stealth metamaterial (MCSM) comprising a radar infrared compatible stealth layer (RICSL) and a pixelated tunable visible light camouflage pixel layer (VLCPL).
Adjusted hexagonal patch filling rates on the infrared stealth layer (ISL) to achieve low infrared emissivity and high microwave transmission.

Keywords:

adaptive camouflage gradient impedance machine learning metamaterial structure multispectral compatible stealth

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Utilized gradient impedance transition and multiscale loss mechanisms for efficient microwave absorption.

Main Results:

The proposed structure demonstrated spectral decoupling and enhanced stealth across IR, radar, and visible light.
Achieved low infrared emissivity (0.2) and high microwave absorption efficiency (>90% from 6.34 to 24.91 GHz) with polarization insensitivity and angular stability.
The VLCPL successfully mimicked jungle, ocean, and desert environments, showcasing adaptive camouflage.

Conclusions:

The developed metamaterial structure offers flexible adaptive features for multispectral compatible stealth.
This innovation paves the way for next-generation stealth technologies with enhanced performance across diverse spectral bands.