Source abstract
Abstract
Grain boundaries widely exist in 2-D materials, and they are often considered as defects harming the physicochemical properties of materials. Here, we report unclonable anti-counterfeiting films based on the grain boundaries of patterned porous structures. The porous films are prepared from hydroxyl-end-functionalized polystyrene (OH-PS), polystyrene-block-poly(N,N-dimethylaminoethly methacrylate) (PS-b-PDMAEMA), and cyclic polystyrene (c-PS) via a typical breath figure process, during which the evaporation of solvents provides enough instability and promises the uniqueness of surface grain boundaries. The anti-counterfeiting tags are convenient to be authenticated by portable devices. The self-assembly nature of the arrays endows the films with an extremely high encoding capacity. Moreover, the present anti-counterfeiting films are configurable, transparent, flexible, and aesthetically appealing to adapt to various applications. This work demonstrates highly secure unclonable anti-counterfeiting films and provides new understandings to grain boundaries of 2-D materials.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Physical Unclonable Functions (PUFs) and Hardware Security · Nanofabrication and Lithography Techniques · Additive Manufacturing and 3D Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
MOE Key Laboratory of Macromolecular Synthesis and Functionalization, and Key Laboratory of Adsorption and Separation Materials & Technologies of Zhejiang Province, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. China
State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, P. R. China
Funding
Ministry of Education of the People's Republic of China · National Natural Science Foundation of China
References (43)
Show source-provided references
20. Takahashi, T.; Kudo, Y.; Ishiyama, R. Mass-Produced Parts Traceability System Based on Automated Scanning of “Fingerprint of Things, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA); Nagoya University: Nagoya, 2017; pp 202–206.
10.23919/MVA.2017.7986836 ↗