2020
DOI: 10.1016/j.matt.2020.10.005
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Multigenerational Crumpling of 2D Materials for Anticounterfeiting Patterns with Deep Learning Authentication

Abstract: Multigenerational 2D-material (2DM) microstructures are fabricated via sequential deformations in a transfer-free fashion and exhibit physical unclonable function patterns with algorithm-recognizable features. Deep learning (DL)-facilitated software is developed on the basis of the ''classification and validation'' mechanism to shorten the authentication time. With 2DM tags and DL software, a reliable and environmentally stable anticounterfeiting technology, DeepKey, is realized to show superior encoding capac… Show more

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Cited by 31 publications
(39 citation statements)
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“…The image was converted to a size of 960 × 960 during normalization, so there were 256 960 × 960 permutations and combinations for an anti‐counterfeiting pattern, and the theoretical encoding capacity reached 1 × 10 2 219 212 (we referred to the calculation proposed by Jing et al. [ 16 ] ). According to Carro‐Temboury et al., [ 58 ] the effective encoding capacity of film pattern can reach 2.1 × 10 623 (These calculations are detailed in Note S3, Supporting Information).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The image was converted to a size of 960 × 960 during normalization, so there were 256 960 × 960 permutations and combinations for an anti‐counterfeiting pattern, and the theoretical encoding capacity reached 1 × 10 2 219 212 (we referred to the calculation proposed by Jing et al. [ 16 ] ). According to Carro‐Temboury et al., [ 58 ] the effective encoding capacity of film pattern can reach 2.1 × 10 623 (These calculations are detailed in Note S3, Supporting Information).…”
Section: Resultsmentioning
confidence: 99%
“…Jing et al. [ 16 ] developed a DL‐facilitated software to pre‐categorize the hierarchical topographies with classifiable features, which can shorten the overall authentication time.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the encoding capability of our LOP-PUF is estimated theoretically and practically. The conventional PUF systems can have an encoding capacity of c s , where c is bit states and s is the size of bit sequence 36 , 37 . Our LOP-PUF has a c value of 2 and an s value of 768; hence, the theoretical encoding capacity is 2 768 .…”
Section: Resultsmentioning
confidence: 99%
“…Hong et al 25 demonstrated a highly stretchable and transparent electric heater by constructing a partially embedded silver nanowire penetration network on an elastic substrate. Another effective method is to prepare composite materials with conductive fillers using elastic substrates 26 to form wrinkled 27,28 and crumpled 29,30 structures by prestretching, thermal contraction, and solvent inducement. Among these methods, the formation of a wrinkled structure by a mechanical prestretch-and-release process is a widely used strategy to improve the stretchability of materials owing to its simplicity and high controllability.…”
Section: Introductionmentioning
confidence: 99%