Evidence map›Paper›PMID 36035792›Full record

ArticleSTAR protocols2022

Protocol for efficient and self-healing near-infrared perovskite light-emitting diodes.

Yatao Zou, Pengpeng Teng, Zhongcheng Yuan, Jingcong Hu, Yue Lu, Baoquan Sun, Feng Gao, Weidong Xu

Abstract read
In one paragraph

Article in STAR protocols, 2022. 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

8 authors.

Yatao ZouMacao Institute of Materials Science and Engineering, Macau University of Science and Technology, Macau 999078, P. R. China.
Pengpeng TengDepartment of Physics, Chemistry and Biology (IFM), Linköping University, Linköping, Sweden.
Zhongcheng YuanDepartment of Physics, Chemistry and Biology (IFM), Linköping University, Linköping, Sweden.
Jingcong HuBeijing Key Laboratory of Microstructure and Properties of Solids, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.
Yue LuBeijing Key Laboratory of Microstructure and Properties of Solids, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.
Baoquan SunMacao Institute of Materials Science and Engineering, Macau University of Science and Technology, Macau 999078, P. R. China; Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou 215123, P. R. China. Electronic address: bqsun@suda.edu.cn.
Feng GaoDepartment of Physics, Chemistry and Biology (IFM), Linköping University, Linköping, Sweden.
Weidong XuFrontiers Science Center for Flexible Electronics, Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, China. Electronic address: ifewdxu@nwpu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preparation of highly efficient and stable perovskite light-emitting diodes (PeLEDs) with reproducible device performance is challenging. This protocol describes steps for fabrication of high-performance and self-healing PeLEDs. These include instructions for synthesis of charge-transporting zinc oxide (ZnO) nanocrystals, step-by-step device fabrication, and control over self-healing of the degraded devices. For complete details on the use and execution of this protocol, please refer to Teng et al. (2021).

Indexed as

Calcium CompoundsOxidesTitaniumCalcium CompoundsOxidesperovskiteTitaniumChemistryMaterial sciencesPhysics

Identifiers

PMID36035792
PMCPMC9405535

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.