Programmable Wire Metamaterials for Visible and Self‐Adaptive Infrared Camouflage

Adaptive infrared (IR) radiation management that can autonomously adjust IR radiation on demand while maintaining independent visible compatibility has been long pursued for practical applications, such as camouflage. Here, an integrated programmable wire metamaterial is developed that enables programmable autonomy and dual-band compatibility for non-interference visible and self-adaptive IR camouflage. This system allows automatic and intelligent concealment of targets in complex and dynamic thermal environments without human intervention. The self-adaptive IR camouflage is facilitated by the manipulation of the metamaterial's tilt angle for continuous tunability of emissivity, which is attributed to the tilt angle-dependent broadband impedance matching mechanisms. Equipped with programmable feedback algorithm commands, the integrated system dynamically adapts to varying thermal backgrounds, achieving apparent temperature modulation of up to 27 °C (ranging from 14 to 41 °C) while minimizing thermal imaging contrast to within 1 °C. These capabilities ensure that the target remains undetected by both visible and thermal detectors throughout the day. This work opens up new opportunities for the next-generation multispectral camouflage technologies and advances in spatiotemporal and programmable self-adaptive systems.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-05-20
DOI
https://doi.org/10.1002/adma.202503587
Citations
9
Primary Topic
Thermal Radiation and Cooling Technologies
Type
article
Field-Weighted Citation Impact
8.58

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Programmable Wire Metamaterials for Visible and Self‐Adaptive Infrared Camouflage

Hengqian Wang, Yuruo Zhang, Han Zhou, Chengyu Xiao et al.
9 citations
Advanced Materials
Thermal Radiation and Cooling Technologies
8.58
article

Programmable Wire Metamaterials for Visible and Self‐Adaptive Infrared Camouflage

Hengqian Wang, Yuruo Zhang, Han Zhou, Chengyu Xiao, Shaowen Chen, Cheng‐Wei Qiu, Wang Zhang, Zhong Zhou, Pan Wang, Gaoyang Kong, Ya Nan Sun, Yifan Zhang
article en
9 citations

Abstract

Adaptive infrared (IR) radiation management that can autonomously adjust IR radiation on demand while maintaining independent visible compatibility has been long pursued for practical applications, such as camouflage. Here, an integrated programmable wire metamaterial is developed that enables programmable autonomy and dual-band compatibility for non-interference visible and self-adaptive IR camouflage. This system allows automatic and intelligent concealment of targets in complex and dynamic thermal environments without human intervention. The self-adaptive IR camouflage is facilitated by the manipulation of the metamaterial's tilt angle for continuous tunability of emissivity, which is attributed to the tilt angle-dependent broadband impedance matching mechanisms. Equipped with programmable feedback algorithm commands, the integrated system dynamically adapts to varying thermal backgrounds, achieving apparent temperature modulation of up to 27 °C (ranging from 14 to 41 °C) while minimizing thermal imaging contrast to within 1 °C. These capabilities ensure that the target remains undetected by both visible and thermal detectors throughout the day. This work opens up new opportunities for the next-generation multispectral camouflage technologies and advances in spatiotemporal and programmable self-adaptive systems.

Advanced MaterialsVol. 37(30)
National University of Singapore (SG), Donghua University (CN), Shanghai Jiao Tong University (CN), Suzhou Research Institute (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 2%
Thermal Radiation and Cooling Technologies
8.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.