Color Revolution: Prospects and Challenges of Quantum‐Dot Light‐Emitting Diode Display Technologies

量子点 发光二极管 色域 光电子学 计算机科学 二极管 材料科学 纳米技术 人工智能
作者
Zinan Chen,Haotao Li,Cuixia Yuan,Peili Gao,Qiang Su,Shuming Chen
出处
期刊:Small methods [Wiley]
卷期号:8 (2): e2300359-e2300359 被引量:84
标识
DOI:10.1002/smtd.202300359
摘要

Abstract Light‐emitting diodes (LEDs) based on colloidal quantum‐dots (QDs) such as CdSe, InP, and ZnSeTe feature a unique advantage of narrow emission linewidth of ≈20 nm, which can produce highly accurate colors, making them a highly promising technology for the realization of displays with Rec. 2020 color gamut. With the rapid development in the past decades, the performances of red and green QLEDs have been remarkably improved, and their efficiency and lifetime can almost meet industrial requirements. However, the industrialization of QLED displays still faces many challenges; for example, (1) the device mechanisms including the charge injection/transport/leakage, exciton quenching, and device degradation are still unclear, which fundamentally limit QLED performance improvement; (2) the blue performances including the efficiency, chromaticity, and stability are relatively low, which are still far from the requirements of practical applications; (3) the color patterning processes including the ink‐jet printing, transfer printing, and photolithography are still immature, which restrict the manufacturing of high resolution full‐color QLED displays. Here, the recent advancements attempting to address the above challenges of QLED displays are specifically reviewed. After a brief overview of QLED development history, device structure/principle, and performances, the main focus is to investigate the recent discoveries on device mechanisms with an emphasis on device degradation. Then recent progress is introduced in blue QLEDs and color patterning. Finally, the opportunities, challenges, solutions, and future research directions of QLED displays are summarized.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
智慧发布了新的文献求助30
刚刚
DTS发布了新的文献求助10
1秒前
YI_JIA_YI完成签到,获得积分10
1秒前
小痞子完成签到 ,获得积分10
1秒前
苗灵雁完成签到,获得积分10
2秒前
2秒前
2秒前
2秒前
善学以致用应助超级的鞅采纳,获得10
2秒前
猪猪hero应助elang采纳,获得10
3秒前
weiyi发布了新的文献求助10
4秒前
佩琪完成签到,获得积分10
4秒前
包容秋珊发布了新的文献求助10
4秒前
缥缈的涵菡完成签到 ,获得积分10
5秒前
冷酷的溜溜梅完成签到 ,获得积分10
5秒前
6秒前
kaikai完成签到,获得积分10
6秒前
鱼鱼鱼发布了新的文献求助10
6秒前
带善人完成签到,获得积分10
6秒前
7秒前
7秒前
科研通AI6应助zhangyulong采纳,获得10
7秒前
爆爆发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
8秒前
小雨堂完成签到,获得积分10
9秒前
研友_VZG7GZ应助萝卜采纳,获得10
10秒前
10秒前
10秒前
hu123完成签到,获得积分10
11秒前
领导范儿应助DTS采纳,获得10
11秒前
11秒前
moyu37完成签到,获得积分10
11秒前
11秒前
12秒前
李xxxx发布了新的文献求助10
12秒前
愚林2024发布了新的文献求助10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608256
求助须知:如何正确求助?哪些是违规求助? 4692810
关于积分的说明 14875754
捐赠科研通 4717042
什么是DOI,文献DOI怎么找? 2544147
邀请新用户注册赠送积分活动 1509105
关于科研通互助平台的介绍 1472802