Cracking enabled unclonability in colloidal crystal patterns authenticated with computer vision-Reference-Cited by-同舟云学术

Cracking enabled unclonability in colloidal crystal patterns authenticated with computer vision

Published:2022 Issue:24 Volume:14 Page:8833-8841
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Li Yuhuan¹,Mao Yexin²,Wang Jiahui¹,Liu Zhiwei²,Jia Pan¹,Wu Na¹^ORCID,Yu Haitao¹,Wang Jinqiao²,Song Yanlin³^ORCID,Zhou Jinming¹^ORCID

Affiliation:

1. Key Laboratory of Inorganic Nanomaterials of Hebei Province, College of Chemistry and Materials Science, Hebei Normal University, Shijiazhuang, 050024, P. R. China

2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, P. R. China

3. Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China

Abstract

The first physically-unclonable colloidal-crystal pattern enabled by the random micro-cracks, which are verifiable with convenient and accurate computer vision, has been demonstrated.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2022/NR/D2NR01479C

Reference56 articles.

1. Photonic Crystal Carbohydrate Sensors: Low Ionic Strength Sugar Sensing

2. Encoded Porous Beads for Label-Free Multiplex Detection of Tumor Markers

3. Hierarchically structured photonic crystals for integrated chemical separation and colorimetric detection