Quantum-dot color wheel for projection displays

色域 量子点 色度 NTSC公司 投影(关系代数) 光学 高颜色 计算机科学 RGB颜色模型 显色指数 数字光处理 物理 光电子学 发光二极管 人工智能 彩色图像 算法 传输(电信) 图像处理 电信 图像(数学) 投影机
作者
Yinguo Yan,Yuze Xiao,Junhu Cai,Yushuo Zhang,Yun Ye,Sheng Xu,Qun Yan,Tailiang Guo,Enguo Chen
出处
期刊:Optica [Optica Publishing Group]
卷期号:10 (11): 1559-1559 被引量:16
标识
DOI:10.1364/optica.502938
摘要

A color wheel (CW) is one of the most essential devices for contemporary projection displays because it provides the color initialization definition and determines the color performance of the whole system. However, conventional color wheels remain limited in terms of color performance and efficiency because of the light-absorbing material and time sequential color generation. Quantum dots, found in 1981 and known as a kind of quasi-zero-dimensional nanomaterial, exhibit excellent features for displays due to their quantum confinement effect, which won the 2023 Nobel Prize in Chemistry. Inspired by this, the paper systematically demonstrates a quantum-dot color wheel (QD-CW) device through theoretical derivation, simulation analysis, and experimental verification. The theoretical model to define the duty circle ratio is presented for the QD-CW and verified by Monte Carlo ray-tracing simulation. In terms of experimental verification, the QD-CW device is realized by multiple rounds of a photolithography process, and then assembled into a blue laser pumped projection prototype for full-color display. The chromaticity coordinates of white-balanced output are finally located at (0.317,0.338), which matches well with a standard D65 source. The color gamut area of the QD-CW device reaches 116.6% NTSC, and the average light conversion efficiency (LCE) of the prepared QD-CW is 57.0%. The proposed QD-CW device has ∼40% higher color gamut area and 1.2× higher LCE than a conventional CW device. These exciting findings show a groundbreaking approach to color generation in projection displays, which are expected to shed light on other high-quality display applications.
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
kk完成签到 ,获得积分10
刚刚
刚刚
里昂义务发布了新的文献求助10
刚刚
刚刚
古月博士完成签到,获得积分10
1秒前
伊笙完成签到 ,获得积分0
3秒前
Cyy1225完成签到,获得积分10
4秒前
Zxr发布了新的文献求助10
6秒前
6秒前
小蘑菇应助专注宫苴采纳,获得10
6秒前
着急的翠琴完成签到,获得积分20
6秒前
DIAPTERA发布了新的文献求助40
6秒前
liia完成签到,获得积分10
7秒前
herschelwu完成签到,获得积分10
8秒前
小蘑菇应助王双燕采纳,获得30
8秒前
YU完成签到 ,获得积分10
8秒前
大模型应助夕晴采纳,获得10
10秒前
科研通AI6.2应助菠萝包包采纳,获得10
10秒前
xyg发布了新的文献求助10
11秒前
YYj完成签到,获得积分10
11秒前
djf点儿完成签到 ,获得积分0
11秒前
12秒前
13秒前
14秒前
14秒前
14秒前
14秒前
狂野冬寒完成签到,获得积分10
14秒前
15秒前
无奈傲云发布了新的文献求助10
15秒前
15秒前
sly关注了科研通微信公众号
15秒前
天天快乐应助好好学习采纳,获得10
15秒前
Hello应助科研通管家采纳,获得10
17秒前
炜大的我应助科研通管家采纳,获得10
17秒前
17秒前
KangKangLovRobo完成签到,获得积分10
17秒前
大个应助科研通管家采纳,获得10
17秒前
17秒前
星辰大海应助DIAPTERA采纳,获得100
17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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7638672
求助须知:如何正确求助?哪些是违规求助? 9211843
关于积分的说明 19760257
捐赠科研通 7205510
什么是DOI,文献DOI怎么找? 3275880
关于科研通互助平台的介绍 2437462
邀请新用户注册赠送积分活动 2273111