InP-based quantum-dot-on-chip LEDs: excitation with violet or blue light?

Author:

Karadza Bega,Avermaet Hannes Van1ORCID,Schiettecatte Pieter1ORCID,Giordano Luca1,Hens Zeger1,Meuret YouriORCID

Affiliation:

1. Physics and Chemistry of Nanostructures and Center for Nano and Biophotonics

Abstract

The external quantum efficiency of light-emitting diodes (LEDs) emitting in the spectral range from 510 to 600 nm is much smaller than blue- or red-emitting LEDs. The current strategy to overcome this so-called green gap is the color conversion of the emitted light by an efficient violet or blue III-nitride-based LED. Colloidal quantum dots (QDs) are promising candidates thanks to their narrow, size-tunable emission spectrum. Single-color QD-on-chip LEDs consisting of a blue pump LED with either green-, amber- or red-emitting QDs have already been reported. In this paper, the question is investigated whether a shorter excitation wavelength, i.e. violet light, offers an interesting alternative to a blue pump LED. After describing the main determining factors for the overall LED efficiency, the paper focuses on the color conversion efficiency, and whether excitation with violet instead of blue decreases re-absorption losses significantly. The performance of green-emitting InP/Zn(Se,S)/ZnS QD-LEDs with either a violet (408 nm) or blue (445 nm) LED is experimentally compared; resulting in a slightly higher color conversion efficiency for the violet-pumped QD-LEDs. The impact of the photoluminescence quantum yield of the QDs, the pump absorbance, and resulting color saturation, on the color conversion efficiency, was further investigated with ray-tracing simulations of green- and amber-emitting QD-LEDs with a violet or blue pump LED. Our findings emphasize the role of the excitation wavelength in optimizing the performance of QD-on-chip LEDs and serve as an important guideline for deciding which pump LED to use.

Funder

Agentschap Innoveren en Ondernemen

Publisher

Optica Publishing Group

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3