Inkjet Printed Physically-Unclonable Structural-Color Anticounterfeiting Labels with Convenient Artificial Intelligence Authentication
文献类型:期刊论文
作者 | Li, Yuhuan1; Liu, Zhiwei3; Zhu, Kuan3; Ai, Liqing4; Jia, Pan1; Wu, Na1; Yu, Haitao1; Wang, Jinqiao3; Yao, Xi4; Zhou, Jinming1 |
刊名 | ADVANCED MATERIALS INTERFACES |
出版日期 | 2021-10-10 |
页码 | 7 |
ISSN号 | 2196-7350 |
关键词 | anticounterfeiting artificial intelligence inkjet printing physically-unclonable functions structural colors |
DOI | 10.1002/admi.202101281 |
通讯作者 | Zhou, Jinming(zhoujm@iccas.ac.cn) ; Song, Yanlin(ylsong@iccas.ac.cn) |
英文摘要 | Inkjet printing is a deterministic process with distinguished advantages of low cost, mass production, and unlimited pattern design capability, but it usually excludes randomness and the corresponding physically unclonable functions (PUFs). Herein, inkjet printing is utilized to fabricate physically unclonable structural-color anticounterfeiting labels with reliable random photonic structure and convenient artificial intelligence (AI) authentication. The abundant microscale print-drops with random arrangements, consisting of the cross-linked short-range ordered arrays of monodisperse poly(styrene-methylmethacrylate-acrylic acid) (P(St-MMA-AA)) nanospheres, enabled full-color hues, and the reliable encoded PUFs, simultaneously. The encoded PUF information with extremely high encoding capacity can be learned and validated with AI, realizing the fast and accurate decoding of the PUFs and thus the unclonable anticounterfeiting applications. Importantly, the coupling of the structural-color anticounterfeiting labels with perfluorodecyltrimethoxysilane of low surface energy leads to high water resistance, which further improves the structural stability of the labels against water penetration. Based on the package-compatible inkjet printing approach and the reliable AI authentication, the physically unclonable structural-color anticounterfeiting labels with high structural stability and reliable AI validation bridges the gap between convenience (in both fabrication and validation) and ultimate security, opening enormous opportunities for their security applications in medicine, documents, currency, or other high-value products. |
WOS关键词 | COLLOIDAL PHOTONIC CRYSTALS ; FILMS |
资助项目 | National Natural Science Foundation of China[21975063] ; top 100 innovative talents program in higher institutions of Hebei Province[SLRC2019034] ; Distinguished Young Scholar Program of Hebei Normal University[L2018J02] ; Hebei 333 Talent Project[A202001007] |
WOS研究方向 | Chemistry ; Materials Science |
语种 | 英语 |
出版者 | WILEY |
WOS记录号 | WOS:000705163700001 |
资助机构 | National Natural Science Foundation of China ; top 100 innovative talents program in higher institutions of Hebei Province ; Distinguished Young Scholar Program of Hebei Normal University ; Hebei 333 Talent Project |
源URL | [http://ir.ia.ac.cn/handle/173211/46170] |
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; Song, Yanlin |
作者单位 | 1.Hebei Normal Univ, Coll Chem & Mat Sci, Key Lab Inorgan Nanomat Hebei Prov, Shijiazhuang 050024, Hebei, Peoples R China 2.Chinese Acad Sci, Inst Chem, Key Lab Green Printing, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.City Univ Hong Kong, Dept Biomed Sci, Kowloon, Hong Kong 999077, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Yuhuan,Liu, Zhiwei,Zhu, Kuan,et al. Inkjet Printed Physically-Unclonable Structural-Color Anticounterfeiting Labels with Convenient Artificial Intelligence Authentication[J]. ADVANCED MATERIALS INTERFACES,2021:7. |
APA | Li, Yuhuan.,Liu, Zhiwei.,Zhu, Kuan.,Ai, Liqing.,Jia, Pan.,...&Song, Yanlin.(2021).Inkjet Printed Physically-Unclonable Structural-Color Anticounterfeiting Labels with Convenient Artificial Intelligence Authentication.ADVANCED MATERIALS INTERFACES,7. |
MLA | Li, Yuhuan,et al."Inkjet Printed Physically-Unclonable Structural-Color Anticounterfeiting Labels with Convenient Artificial Intelligence Authentication".ADVANCED MATERIALS INTERFACES (2021):7. |
入库方式: OAI收割
来源:自动化研究所
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