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Integrated Multispectral Modulator with Efficient Radiative Cooling for Innovative Thermal Camouflage

  • Yilin Ding
  • , Zheyue Mei
  • , Xueke Wu
  • , Wenjing Zhang
  • , Yaqi Zhang
  • , Aike Xi
  • , Di Gao
  • , Fan Lan
  • , Jiaqi Xu
  • , Xungang Diao
  • , Rufan Zhang*
  • *此作品的通讯作者
  • Tsinghua University
  • Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Thermal camouflage technology offers critical countermeasures against infrared detection, yet persistent challenges remain in environmental adaptability, multispectral compatibility, and concurrent thermal management. To address these limitations, a spectrally selective modulator is pioneered that synergistically integrates radiative cooling with electrochromic tunability. The proposed modulator achieves spectrally selective emissivity modulation, demonstrating a remarkable emissivity change (Δɛmax = 0.76) within infrared detection bands (3–5 µm and 8–14 µm) while preserving high emissivity (ɛmax = 0.79) in non-detection bands for passive heat dissipation. Multispectral operability is further evidenced by dynamic diffuse reflectivity control (Rlowest = 0.07/0.05 across visible and near-infrared band) and terahertz absorptivity modulation (ΔAmax = 0.66), enabling full-spectrum adaptive concealment. The device achieves ≈10 °C apparent temperature modulation without external heating, effectively disguising a 70 °C target as 40 °C. Radiative cooling efficacy is validated through theoretical modeling (peak cooling power: 367 W m−2) and experimental verification (≈6 °C reduction vs conventional wide-spectrum stealth surfaces at 60 °C). With rapid switching (<6 s), exceptional cyclability (>103 cycles), and programmable information encryption capabilities. This work resolves the long-standing trade-off between adaptive camouflage and thermal regulation through wavelength-selective emissivity engineering, establishing a versatile foundation for next-generation intelligent camouflage systems across defense, aerospace, and energy-efficient thermal regulation applications.

源语言英语
期刊论文编号2500122
期刊Advanced Functional Materials
卷35
期30
DOI
出版状态已出版 - 24 7月 2025

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