Evidence map›Paper›PMID 40841515›Full record

ArticleLight, science & applications2025

Nanosecond response perovskite quantum dot light-emitting diodes with ultra-high resolution for active display application.

Qingkai Zhang, Kaiyu Yang, Chengyu Luo, Zhihan Lin, Weiguo Chen, Yongsheng Yu, Hailong Hu, Fushan Li

Abstract read
In one paragraph

Article in Light, science & applications, 2025. 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
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  3. 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

8 authors.

Qingkai ZhangCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Kaiyu YangCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China. kaikaibrian@fzu.edu.cn.ORCID http://orcid.org/0000-0001-8910-8197
Chengyu LuoCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Zhihan LinCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Weiguo ChenCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Yongsheng YuFujian Science and Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, China.
Hailong HuCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China.ORCID http://orcid.org/0000-0001-5299-2812
Fushan LiCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China. fsli@hotmail.com.ORCID http://orcid.org/0000-0002-2436-9473

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62075043National Natural Science Foundation of China (National Science Foundation of China) 62305063
6 · The paper itself

Abstract

Perovskite quantum dots light-emitting diodes (PeLEDs) have been developed for next-generation high resolution display applications. However, the hindered charge injection and massive charge trapping due to the insulating and defective surface of quantum dots (QDs) usually lead to a slow rise in electroluminescence (EL) response, which makes it challenging to realize ultra-high refresh rate displays with nanosecond response. Herein, an ionic liquid 1-Butyl-3-methylimidazolium Trifluoromethanesulfonate ([BMIM]OTF) was used to enhance the crystallinity and reduce the surface area ratio of QDs, which effectively decreases defect state and injection barrier at the interface. Therefore, the rise time of EL response with steady-state is successfully reduced by over 75%. We further reduce the capacitance effect by decreasing the light-emitting unit area. Thus, ultra-high resolution (9072 pixel per inch) PeLEDs with light-emitting pixel size of 1.3 μm were realized, achieving a brightness exceeding 170,000 cd/m

Identifiers

PMID40841515
PMCPMC12370927

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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.