High Output Power GaN-Based Green Resonant-Cavity Light-Emitting Diodes With Trapezoidal Quantum Wells

量子阱 发光二极管 光电子学 半最大全宽 二极管 量子限制斯塔克效应 自发辐射 材料科学 辐射传输 发射光谱 宽禁带半导体 物理 光学 谱线 激光器 天文
作者
Haocheng Wu,Heng Li,Shiou-Yi Kuo,Bo-Yan Chen,Tien‐Chang Lu,Huamao Huang
出处
期刊:IEEE Transactions on Electron Devices [Institute of Electrical and Electronics Engineers]
卷期号:67 (9): 3650-3654 被引量:20
标识
DOI:10.1109/ted.2020.3007595
摘要

Green resonant-cavity light-emitting diode (RCLED) has great potential in optical communication but suffers low efficiency. In this study, GaN-based flip-chip green RCLED incorporated with nitrogen face-oriented inclination asymmetric trapezoidal quantum wells (NOAT-QWs) is proposed to enhance the light-output power (LOP). Samples with NOAT-QWs and normal symmetric square quantum wells (SS-QWs) were fabricated and characterized. Although their electrical characteristics and emission spectra are similar, the LOP and emission efficiency are significantly improved. At a driving current of 450 mA, the improvement of LOP for RCLED with NOAT-QWs can be as high as 1.44 times in comparison to the sample with SS-QWs. The unprecedented high output power of 115 mW and the narrow full-width-at-half-maximum (FWHM) of 6.4 nm in the emission spectrum give great potential in optical communication. The inherent mechanism was investigated by the finite element analysis, from which the simulation results match well with the experimental measurements. The simulation results reveal that the NOAT-QWs are beneficial in alleviating the quantum confined stark effect and facilitating easier hole carriers' flow across the barriers, leading to more electron-hole wave function overlaps and higher radiative recombination rate.

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
刚刚
粗犷的蛟凤完成签到,获得积分10
1秒前
求助人员发布了新的文献求助10
1秒前
科研通AI6.2应助孤独幻枫采纳,获得10
1秒前
王皮皮发布了新的文献求助10
1秒前
1秒前
wanci应助坚强的严青采纳,获得10
1秒前
困于浪漫冬完成签到 ,获得积分10
2秒前
哦哟发布了新的文献求助10
2秒前
李健的小迷弟应助fanqiaqia采纳,获得10
2秒前
烟花应助漂泊采纳,获得10
2秒前
2秒前
2秒前
2秒前
3秒前
3秒前
3秒前
3秒前
3秒前
完美世界应助俗人采纳,获得10
3秒前
3秒前
PICC完成签到,获得积分10
3秒前
4秒前
YCQ完成签到,获得积分10
4秒前
4秒前
小yang发布了新的文献求助10
4秒前
爆米花应助ccl采纳,获得10
4秒前
rayyya发布了新的文献求助10
4秒前
一叶扁舟。完成签到 ,获得积分10
4秒前
4秒前
18°N天水色完成签到,获得积分10
5秒前
炸茄盒的老头完成签到,获得积分10
5秒前
onepine完成签到,获得积分10
5秒前
5秒前
SciGPT应助yunsww采纳,获得10
5秒前
5秒前
6秒前
自由朋友发布了新的文献求助10
6秒前
6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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
What is the Future of Psychotherapy in a Digital Age? 700
The Psychological Quest for Meaning 600
Zeolites: From Fundamentals to Emerging Applications 600
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 5954917
求助须知:如何正确求助?哪些是违规求助? 7164417
关于积分的说明 15936615
捐赠科研通 5089847
什么是DOI,文献DOI怎么找? 2735432
邀请新用户注册赠送积分活动 1696283
关于科研通互助平台的介绍 1617249