Evidence map›Paper›PMID 41136456›Full record

ArticleScientific reports2025

Ultraviolet photodetector based on p

Wenqing Song, Rongping Yu, Mengdi Chen, Rui Liu, Ruizhi Zhang, Tao Li, Lei Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Wenqing SongSchool of Intelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang, 421002, China.
Rongping YuSchool of Intelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang, 421002, China.
Mengdi ChenSchool of Intelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang, 421002, China.
Rui LiuState Key Laboratory of High Performance Complex Manufacturing, College of Mechanical and Electrical Engineering, Central South University, Changsha, 410000, China.
Ruizhi ZhangSchool of Intelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang, 421002, China. zhangruizhi@qq.com.
Tao LiKey Laboratory of Hunan Province for Efficient Power System and Intelligent Manufacturing, Shaoyang University, Shaoyang, 422000, Hunan, China. litao_0210@163.com.
Lei ZhangState Key Laboratory of High Performance Complex Manufacturing, College of Mechanical and Electrical Engineering, Central South University, Changsha, 410000, China.

Funding

Hengyang Guiding Plan Project No. 2024-15Natural science foundation of Hunan Province, China 2024JJ6197Natural science foundation of Hunan Province, China, 2024JJ7495the Project of Hunan Province College Student Innovation and Entrepreneurship Training No. S202411528159
6 · The paper itself

Abstract

Ultraviolet (UV) photoresponse characteristics have been demonstrated in a p+-Si/n-ZnO bilayer structure photodetector. Unlike single-layer ZnO photodetectors, the device can be regarded as two series-connected p-n junctions. The photo-induced carriers can be effectively modulates by built-in electric field during light on/off switching cycles. In contrast to conventional lateral carrier transport, longitudinal carrier movement in this structure significantly shortens charge migration paths. Consequently, the bilayer structure device exhibits superior performance metrics, demonstrating enhanced responsivity and accelerated response speeds compared to single ZnO photodetector.

Indexed as

HeterostructureLongitudinal photodetectorP-n junctionZnO photodetector

Identifiers

PMID41136456
PMCPMC12552706

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.