Cracking enabled unclonability in colloidal crystal patterns authenticated with computer vision
文献类型:期刊论文
作者 | Li, Yuhuan3; Mao, Yexin2; Wang, Jiahui3; Liu, Zhiwei2; Jia, Pan3; Wu, Na3; Yu, Haitao3; Wang, Jinqiao2; Song, Yanlin1; Zhou, Jinming3 |
刊名 | NANOSCALE |
出版日期 | 2022-05-17 |
页码 | 9 |
ISSN号 | 2040-3364 |
DOI | 10.1039/d2nr01479c |
通讯作者 | Zhou, Jinming(zhoujm@iccas.ac.cn) |
英文摘要 | Colloidal crystals with iridescent structural coloration have appealing applications in the fields of sensors, displays, anti-counterfeiting, etc. A serious issue accompanying the facile chemical self-assembly approach to colloidal crystals is the formation of uncontrolled and irregular cracks. In contrast to the previous efforts to avoid cracking, the unfavorable and random micro-cracks in colloidal crystals were utilized here as unclonable codes for tamper-proof anti-counterfeiting. The special structural and optical characteristics of the colloidal crystal patterns assembled with monodisperse poly(styrene-methyl methacrylate-acrylic acid) core-shell nanospheres enabled multi-anti-counterfeiting modes, including angle-dependent structural colors and polarization anisotropy, besides the physically unclonable functions (PUFs) of random micro-cracks. Moreover, by using the random cracks in the colloidal crystals as templates to guide fluorescent silica nanoparticle deposition, an fluorescent anti-counterfeiting mode with PUFs was introduced. To validate the PUFs of the fluorescent micro-cracks in the colloidal crystals, a novel edge-sensitive template matching approach based on a computer vision algorithm with an accuracy of similar to 100% was developed, enabling ultimate security immune to forgery. The computer-vision verifiable physically unclonable colloidal crystals with multi-anti-counterfeiting modes are superior to conventional photonic crystal anti-counterfeiting materials that rely on angle-dependent or tunable structural colors, and the conventional PUF labels in the aspect of decorative functions, which will open a new avenue for advanced security materials with multi-functionality. |
WOS关键词 | PHOTONIC CRYSTALS ; FILMS ; FLUORESCENT ; GROWTH ; CHIP |
资助项目 | National Natural Science Foundation of China[21975063] ; top 100 innovative talents program in higher institutions of Hebei Province[SLRC2019034] ; Hebei 333 Talent Project[A202001007] |
WOS研究方向 | Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics |
语种 | 英语 |
出版者 | ROYAL SOC CHEMISTRY |
WOS记录号 | WOS:000810091100001 |
资助机构 | National Natural Science Foundation of China ; top 100 innovative talents program in higher institutions of Hebei Province ; Hebei 333 Talent Project |
源URL | [http://ir.ia.ac.cn/handle/173211/49569] |
专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
通讯作者 | Zhou, Jinming |
作者单位 | 1.Chinese Acad Sci, Inst Chem, Key Lab Green Printing, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Hebei Normal Univ, Coll Chem & Mat Sci, Key Lab Inorgan Nanomat Hebei Prov, Shijiazhuang 050024, Hebei, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Yuhuan,Mao, Yexin,Wang, Jiahui,et al. Cracking enabled unclonability in colloidal crystal patterns authenticated with computer vision[J]. NANOSCALE,2022:9. |
APA | Li, Yuhuan.,Mao, Yexin.,Wang, Jiahui.,Liu, Zhiwei.,Jia, Pan.,...&Zhou, Jinming.(2022).Cracking enabled unclonability in colloidal crystal patterns authenticated with computer vision.NANOSCALE,9. |
MLA | Li, Yuhuan,et al."Cracking enabled unclonability in colloidal crystal patterns authenticated with computer vision".NANOSCALE (2022):9. |
入库方式: OAI收割
来源:自动化研究所
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