Evidence map›Paper›PMID 42259779›Full record

ArticleMicrosystems & nanoengineering2026

Unveiling the roles of device structure and driving frequency in mitigating crosstalk effects in nanopixel light-emitting displays.

Wenhao Li, Shuqian Zhang, Xiongtu Zhou, Yongai Zhang, Tailiang Guo, Chaoxing Wu

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. 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

6 authors.

Wenhao Li *College of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Shuqian Zhang *College of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Xiongtu ZhouCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
Yongai ZhangCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China. yongaizhang@fzu.edu.cn.
Tailiang GuoCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China.ORCID http://orcid.org/0009-0006-7868-7756
Chaoxing WuCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, China. chaoxing_wu@fzu.edu.cn.ORCID http://orcid.org/0000-0002-1231-2699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The noncarrier injection (NCI) mode holds promise for application in nanopixel light-emitting display to enhance the competitiveness of display technology. However, conventional approaches face challenges in fabricating NCI mode light-emitting arrays that simultaneously achieve pixel-level precision and high emission quality. In this work, the effect of electrical crosstalk in NCI mode array is revealed by the finite element simulation and the effective suppression of crosstalk is proved by experimental tests. The mechanism of crosstalk is revealed by the dynamic variation of carrier concentration and circuit model analysis. It is demonstrated that adjacent nLEDs show different electrical crosstalk phenomena in changing voltage amplitude, voltage frequency, insulation thickness and the distance between adjacent nLEDs. According to the analysis, we propose a crosstalk suppression solution, that is reducing the etching depth of the nLED array. Finally, by comparing the difference in the working characteristics of the array in injection mode and NCI mode, it is demonstrated the crosstalk suppression capability of the NCI mode. This work provides valuable theories for understanding the NCI mode and opens a new perspective for the display technology related to the nLED array.

Identifiers

PMID42259779
PMCPMC13247245

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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.