Core/Shell ZnMgO@MgLiO Electron Transport Layer for High‐Performance Green Quantum Dot Light‐Emitting Diodes Toward Rec.2020 Standard

Abstract Quantum dot light‐emitting diodes (QD‐LEDs) are among the most promising candidates for new‐generation displays and solid‐state lighting applications. However, state‐of‐the‐art QD‐LEDs with Rec. 2020 pure‐green emission remain challenging, attributable to the insufficient electron injection resulting in the low exciton formation rate. Herein, novel ZnMgO (ZMO) nanoparticles (NPs) capped with MgLiO (MLO) shells are developed as electron transport layers (ETL) to enhance the performance of green QD‐LEDs. MLO alloyed shells effectively passivate the defect states (such as oxygen vacancy) in ZMO thereby suppressing the interfacial exciton quenching, and elevating the electron injection, thereby improving exciton radiative recombination at a low voltage. As a result, the pure green QD‐LEDs exhibit the luminance of 1 385 780 cd m −2 at the voltage of 7.7 V among the highest reported green QD‐LEDs without light outcoupling technology, an operational lifetime T 95 (time for luminance to drop to 95% of its initial value) of 29 183 h at the initial luminance of 1 000 cd m −2 and remarkable spectral stability. These advances represent one of the best‐performing Rec.2020 pure‐green QD‐LEDs to date, and pave the way toward energy‐efficient QD‐LED displays.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-11-20
DOI
https://doi.org/10.1002/adfm.202523266
Citations
1
Primary Topic
Quantum Dots Synthesis And Properties
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Core/Shell ZnMgO@MgLiO Electron Transport Layer for High‐Performance Green Quantum Dot Light‐Emitting Diodes Toward Rec.2020 Standard

Fengjia Fan, Lei Wang, Chang-De Jin, Qingli Lin et al.
1 citations
Advanced Functional Materials
Quantum Dots Synthesis And Properties
0.52
article

Core/Shell ZnMgO@MgLiO Electron Transport Layer for High‐Performance Green Quantum Dot Light‐Emitting Diodes Toward Rec.2020 Standard

Fengjia Fan, Lei Wang, Chang-De Jin, Qingli Lin, Xiaosuo Wang, Huaibin Shen, Bo Li, Leilei Zhao, Zhuangzhi Shen
article en
1 citations

Abstract

Abstract Quantum dot light‐emitting diodes (QD‐LEDs) are among the most promising candidates for new‐generation displays and solid‐state lighting applications. However, state‐of‐the‐art QD‐LEDs with Rec. 2020 pure‐green emission remain challenging, attributable to the insufficient electron injection resulting in the low exciton formation rate. Herein, novel ZnMgO (ZMO) nanoparticles (NPs) capped with MgLiO (MLO) shells are developed as electron transport layers (ETL) to enhance the performance of green QD‐LEDs. MLO alloyed shells effectively passivate the defect states (such as oxygen vacancy) in ZMO thereby suppressing the interfacial exciton quenching, and elevating the electron injection, thereby improving exciton radiative recombination at a low voltage. As a result, the pure green QD‐LEDs exhibit the luminance of 1 385 780 cd m −2 at the voltage of 7.7 V among the highest reported green QD‐LEDs without light outcoupling technology, an operational lifetime T 95 (time for luminance to drop to 95% of its initial value) of 29 183 h at the initial luminance of 1 000 cd m −2 and remarkable spectral stability. These advances represent one of the best‐performing Rec.2020 pure‐green QD‐LEDs to date, and pave the way toward energy‐efficient QD‐LED displays.

Advanced Functional Materials
University of Science and Technology of China (CN), Ministry of Education (BD)
Openalex Percentile: Top 30%
Quantum Dots Synthesis And Properties
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.