Evidence map›Paper›PMID 42045249›Full record

ArticleNature communications2026

Optically reconfigurable physical unclonable functions based on 2D MoS

Tong Li, Yuchao Zhou, Xingchao Zhang, Qing Guan, Haoyang Cheng, Liangfeng Huang, Hongyue Du, Yi Wang, Yixiao Li, Hua Yu and 3 more

Abstract read
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In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Tong LiSchool of Physics and Electronics, Hunan University, Changsha, China.
Yuchao ZhouSongshan Lake Materials Laboratory, Dongguan, Guangdong, China.
Xingchao ZhangSongshan Lake Materials Laboratory, Dongguan, Guangdong, China.
Qing GuanSongshan Lake Materials Laboratory, Dongguan, Guangdong, China.
Haoyang ChengSchool of Physics and Electronics, Hunan University, Changsha, China.
Liangfeng HuangSongshan Lake Materials Laboratory, Dongguan, Guangdong, China.
Hongyue DuSongshan Lake Materials Laboratory, Dongguan, Guangdong, China.
Yi WangSchool of Physics and Electronics, Hunan University, Changsha, China.
Yixiao LiCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, Hunan, China.
Hua YuSongshan Lake Materials Laboratory, Dongguan, Guangdong, China. yuhua@sslab.org.cn.
Na LiSongshan Lake Materials Laboratory, Dongguan, Guangdong, China. lina@sslab.org.cn.ORCID http://orcid.org/0000-0002-9190-1167
Rong YangSchool of Physics and Electronics, Hunan University, Changsha, China. yangrong@hnu.edu.cn.
Guangyu ZhangSchool of Physics and Electronics, Hunan University, Changsha, China. gyzhang@iphy.ac.cn.ORCID http://orcid.org/0000-0002-1242-4391

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hardware-level security is crucial for establishing trust in the rapidly expanding Internet-of-Things (IoT) and edge computing systems. A promising approach employs physical unclonable functions (PUFs) which leverage intrinsic process variations to generate unique and irreproducible identifiers. However, conventional silicon-based PUFs often suffer from limited entropy and lack of reconfigurability, becoming vulnerable to machine learning attacks. Here, we present an optically reconfigurable PUF based on a 64-cell array of five-stage ring oscillators fabricated from wafer-scale monolayer MoS

Identifiers

PMID42045249
PMCPMC13328714

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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.