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Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403604/ https://www.ncbi.nlm.nih.gov/pubmed/37542047 http://dx.doi.org/10.1038/s41467-023-40350-6 |
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author | Xi, Wang Lee, Yun-Jo Yu, Shilv Chen, Zihe Shiomi, Junichiro Kim, Sun-Kyung Hu, Run |
author_facet | Xi, Wang Lee, Yun-Jo Yu, Shilv Chen, Zihe Shiomi, Junichiro Kim, Sun-Kyung Hu, Run |
author_sort | Xi, Wang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10403604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104036042023-08-06 Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage Xi, Wang Lee, Yun-Jo Yu, Shilv Chen, Zihe Shiomi, Junichiro Kim, Sun-Kyung Hu, Run Nat Commun Article 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. Nature Publishing Group UK 2023-08-04 /pmc/articles/PMC10403604/ /pubmed/37542047 http://dx.doi.org/10.1038/s41467-023-40350-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xi, Wang Lee, Yun-Jo Yu, Shilv Chen, Zihe Shiomi, Junichiro Kim, Sun-Kyung Hu, Run Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage |
title | Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage |
title_full | Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage |
title_fullStr | Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage |
title_full_unstemmed | Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage |
title_short | Ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage |
title_sort | ultrahigh-efficient material informatics inverse design of thermal metamaterials for visible-infrared-compatible camouflage |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403604/ https://www.ncbi.nlm.nih.gov/pubmed/37542047 http://dx.doi.org/10.1038/s41467-023-40350-6 |
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