Advancements in Micro-LED Performance through Nanomaterials and Nanostructures: A Review.

Aoqi Fang, Zaifa Du, Weiling Guo, Jixin Liu, Hao Xu, Penghao Tang, Jie Sun

Abstract readReview

In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Enhancing luminescence of QD thin films, polymer composite films, and LED devices by nanostructures.Innovation (Cambridge (Mass.)) · 2026
Review

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

7 authors.

Aoqi FangKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Beijing 100124, China.

Zaifa DuSchool of Physics and Electronic Information, Weifang University, Weifang 261061, China.

Weiling GuoKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Beijing 100124, China.

Jixin LiuKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Beijing 100124, China.

Hao XuKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Beijing 100124, China.

Penghao TangKey Laboratory of Optoelectronics Technology, Beijing University of Technology, Beijing 100124, China.

Jie SunCollege of Physics and Information Engineering, Fuzhou University, Fuzhou 350100, China.ORCID 0000-0002-6479-7771

Funding

Fujian provincial projects Nos. 2021HZ0114 and 2021J01583Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Nos. 2021ZZ122 and 2020ZZ110National Key Research and Development Program of China Nos. 2023YFB3608703 and 2023YFB3608700

6 · The paper itself

Abstract

Micro-light-emitting diodes (μLEDs), with their advantages of high response speed, long lifespan, high brightness, and reliability, are widely regarded as the core of next-generation display technology. However, due to issues such as high manufacturing costs and low external quantum efficiency (EQE), μLEDs have not yet been truly commercialized. Additionally, the color conversion efficiency (CCE) of quantum dot (QD)-μLEDs is also a major obstacle to its practical application in the display industry. In this review, we systematically summarize the recent applications of nanomaterials and nanostructures in μLEDs and discuss the practical effects of these methods on enhancing the luminous efficiency of μLEDs and the color conversion efficiency of QD-μLEDs. Finally, the challenges and future prospects for the commercialization of μLEDs are proposed.

Indexed as

micro-LEDnanomaterialsnanostructuresquantum dot

Identifiers

PMID38869564

DOI10.3390/nano14110940

PMCPMC11173595

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

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.