Evidence map›Paper›PMID 39638812›Full record

ArticleNature communications2024

High-dimensional anticounterfeiting nanodiamonds authenticated with deep metric learning.

Lingzhi Wang, Xin Yu, Tongtong Zhang, Yong Hou, Dangyuan Lei, Xiaojuan Qi, Zhiqin Chu

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lingzhi Wang *Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China.
Xin Yu *Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China.
Tongtong ZhangDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-4520-0714
Yong HouDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China.
Dangyuan LeiDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-8963-0193
Xiaojuan QiDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China. xjqi@eee.hku.hk.ORCID http://orcid.org/0000-0002-4285-1626
Zhiqin ChuDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China. zqchu@eee.hku.hk.ORCID http://orcid.org/0000-0003-4671-5434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical unclonable function labels have emerged as a promising candidate for achieving unbreakable anticounterfeiting. Despite their significant progress, two challenges for developing practical physical unclonable function systems remain, namely 1) fairly few high-dimensional encoded labels with excellent material properties, and 2) existing authentication methods with poor noise tolerance or inapplicability to unseen labels. Herein, we employ the linear polarization modulation of randomly distributed fluorescent nanodiamonds to demonstrate, for the first time, three-dimensional encoding for diamond-based labels. Briefly, our three-dimensional encoding scheme provides digitized images with an encoding capacity of 10

Identifiers

PMID39638812
PMCPMC11621400

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.