Evidence map›Paper›PMID 32888098›Full record

ArticleNanoscale research letters2020

ZnO UV Photodetectors Modified by Ag Nanoparticles Using All-Inkjet-Printing.

Hsiang-Chun Wang, Yuehua Hong, Zhangwei Chen, Changshi Lao, Youming Lu, Zhichao Yang, Youhua Zhu, Xinke Liu

Abstract read
In one paragraph

Article in Nanoscale research letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Natural Boron andACS omega · 2022
    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

8 authors.

Hsiang-Chun WangCollege of Materials Science and Engineering, Shenzhen University-Hanshan Normal University Post Doctoral Workstation, Shenzhen University, Shenzhen, 518060, China.
Yuehua HongCollege of Materials Science and Engineering, Shenzhen University-Hanshan Normal University Post Doctoral Workstation, Shenzhen University, Shenzhen, 518060, China.
Zhangwei ChenAdditive Manufacturing Institute, Shenzhen University, Shenzhen, 518060, China.
Changshi LaoAdditive Manufacturing Institute, Shenzhen University, Shenzhen, 518060, China.
Youming LuCollege of Materials Science and Engineering, Shenzhen University-Hanshan Normal University Post Doctoral Workstation, Shenzhen University, Shenzhen, 518060, China.
Zhichao YangDongguan South Semiconductor Technology Co., Ltd, Dongguan, 523000, China.
Youhua ZhuSchool of Information Science and Technology, Nantong University, Nantong, 226019, China.
Xinke LiuCollege of Materials Science and Engineering, Shenzhen University-Hanshan Normal University Post Doctoral Workstation, Shenzhen University, Shenzhen, 518060, China. xkliu@szu.edu.cn.ORCID http://orcid.org/0000-0002-3472-5945

Funding

Key Research and Development Program of Guangdong Province 2020B010174003, 2019B010138002National Natural Science Foundation of China 61974144, 51975384, 51872187Shenzhen University-National Taipei University of Technology Joint Research Program 2020009
6 · The paper itself

Abstract

To further improve the performance of all-inkjet-printing ZnO UV photodetector and maintain the advantages of inkjet printing technology, the inkjet printing Ag nanoparticles (NPs) were deposited on the inkjet printing ZnO UV photodetector for the first time. The inkjet printing Ag NPs can passivate the surface defects of ZnO and work as surface plasmons from the characterization of photoluminescence (PL), X-ray photoelectron spectroscopy (XPS), and finite difference time domain method (FDTD) simulation. The normalized detectivity (D

Indexed as

Ag nanoparticlesInkjet printingPassivationSurface plasmonsZnO photodetector

Identifiers

PMID32888098
PMCPMC7474017

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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.