journal article·2021-06-16

Spontaneous Formation of Random Wrinkles by Atomic Layer Infiltration for Anticounterfeiting

Guixiong Chen, Yalian Weng, Wenwen Wang, Deming Hong, Linpeng Zhou, Xiongtu Zhou, Chaoxing Wu, Yongai Zhang, Qun Yan, Jianmin Yao, Tailiang Guo

ACS Applied Materials & Interfaces· Volume 13· Issue 23
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Abstract

Continuous developments of innovative anticounterfeiting strategies are vital to restrain the fast-growing counterfeit markets. Physical unclonable function (PUF)-based taggants allow for a practical solution to provide irreproducible codes for strong authentication. Herein, an advanced anticounterfeiting strategy with multiple security levels was successfully developed using screen printing and atomic layer infiltration (ALI) techniques. Macroscale poly(dimethylsiloxane) (PDMS) patterns were fabricated for primary verification. Spontaneous formation of random wrinkles with size in the micrometer scale was achieved on the top surface of screen-printed PDMS patterns due to the anisotropic relief and redistribution of extra compressive stress after Al2O3 infiltration, which can be used for senior authentication by image identification using the artificial intelligence (AI) technique. Furthermore, the complexity and security level of a code, which are proportional to the minutia density, can be adjusted by the morphology of the wrinkles in terms of amplitude and wavelength via the degree of Al2O3 permeation depending on ALI conditions. These spontaneously formed random wrinkles were demonstrated for validation and decoding with AI, exhibiting the merits of being unclonable, nondestructive, universally adaptable, environmentally stable, and mass-producible, and sufficiently adaptable for an industry-suitable authentication strategy.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Nanomaterials and Printing Technologies · Physical Unclonable Functions (PUFs) and Hardware Security

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, P. R. China

Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, Fujian 350108, P. R. China

Funding

National Natural Science Foundation of China · Fujian Science & Technology Innovation Laboratory for Optoelectronic Information · Program for New Century Excellent Talents in Fujian Province University

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