Evidence map›Paper›PMID 36445558›Full record

ArticleNano-micro letters2022

Split-Ring Structured All-Inorganic Perovskite Photodetector Arrays for Masterly Internet of Things.

Bori Shi, Pingyang Wang, Jingyun Feng, Chang Xue, Gaojie Yang, Qingwei Liao, Mengying Zhang, Xingcai Zhang, Weijia Wen, Jinbo Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano-micro letters, 2022. 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
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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

10 authors.

Bori ShiMaterials Genome Institute, Shanghai University, Shanghai, 200444, People's Republic of China.
Pingyang WangMaterials Genome Institute, Shanghai University, Shanghai, 200444, People's Republic of China.
Jingyun FengMaterials Genome Institute, Shanghai University, Shanghai, 200444, People's Republic of China.
Chang XueMaterials Genome Institute, Shanghai University, Shanghai, 200444, People's Republic of China.
Gaojie YangSchool of Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Qingwei LiaoSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.
Mengying ZhangDepartment of Physics, Shanghai University, Shanghai, 200444, People's Republic of China.
Xingcai ZhangSchool of Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. xingcai@mit.edu.
Weijia WenHKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, People's Republic of China.
Jinbo WuMaterials Genome Institute, Shanghai University, Shanghai, 200444, People's Republic of China. jinbowu@t.shu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photodetectors with long detection distances and fast response are important media in constructing a non-contact human-machine interface for the Masterly Internet of Things (MIT). All-inorganic perovskites have excellent optoelectronic performance with high moisture and oxygen resistance, making them one of the promising candidates for high-performance photodetectors, but a simple, low-cost and reliable fabrication technology is urgently needed. Here, a dual-function laser etching method is developed to complete both the lyophilic split-ring structure and electrode patterning. This novel split-ring structure can capture the perovskite precursor droplet efficiently and achieve the uniform and compact deposition of CsPbBr

Indexed as

DewettingGesture recognitionHuman–machine interfacePerovskite photodetector arraySplit-ring

Identifiers

PMID36445558
PMCPMC9709000

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.