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Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage

Author

Listed:
  • Wang Xi

    (Huazhong University of Science and Technology)

  • Yun-Jo Lee

    (Kyung Hee University)

  • Shilv Yu

    (Huazhong University of Science and Technology)

  • Zihe Chen

    (Huazhong University of Science and Technology)

  • Junichiro Shiomi

    (University of Tokyo)

  • Sun-Kyung Kim

    (Kyung Hee University)

  • Run Hu

    (Huazhong University of Science and Technology)

Abstract

Multispectral camouflage technologies, especially in the most frequently-used visible and infrared (VIS-IR) bands, are in increasing demand for the ever-growing multispectral detection technologies. Nevertheless, the efficient design of proper materials and structures for VIS-IR camouflage is still challenging because of the stringent requirement for selective spectra in a large VIS-IR wavelength range and the increasing demand for flexible color and infrared signal adaptivity. Here, a material-informatics-based inverse design framework is proposed to efficiently design multilayer germanium (Ge) and zinc sulfide (ZnS) metamaterials by evaluating only ~1% of the total candidates. The designed metamaterials exhibit excellent color matching and infrared camouflage performance from different observation angles and temperatures through both simulations and infrared experiments. The present material informatics inverse design framework is highly efficient and can be applied to other multi-objective optimization problems beyond multispectral camouflage.

Suggested Citation

  • Wang Xi & Yun-Jo Lee & Shilv Yu & Zihe Chen & Junichiro Shiomi & Sun-Kyung Kim & Run Hu, 2023. "Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40350-6
    DOI: 10.1038/s41467-023-40350-6
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