Suppr超能文献

具有强微腔效应的底部发射绿色有机发光二极管视角依赖性的改善

Improvement of viewing angle dependence of bottom-emitting green organic light-emitting diodes with a strong microcavity effect.

作者信息

Kim Nam Su, Kim Dae Yeong, Song Jae Ho, Suh Min Chul

出版信息

Opt Express. 2020 Oct 12;28(21):31686-31699. doi: 10.1364/OE.403398.

Abstract

The current efficiency and color purity of organic light-emitting diodes (OLEDs) can be easily improved by means of a microcavity structure, but this improvement is typically accompanied by a deterioration in the characteristics of viewing angle. To minimize the angular dependence of the color characteristics exhibited by these strong microcavity devices, we investigated the changes in the optical properties of the green OLED with a bottom resonant structure. This investigation was based on varying the hole transport layer and semitransparent anode thicknesses. The results of optical simulations revealed that the current efficiency and viewing angle characteristics can be simultaneously improved by adjusting the thickness of the two layers. Furthermore, optical simulations predicted that the angular color dependence could be limited to 0.019 in the International Commission on Illumination (CIE) 1976 coordinate system. This optimum condition yielded a current efficiency of ∼134 cd/A. To further reduce this color shift, a nanosized island array (NIA) was introduced through the dewetting process of cesium chloride. By employing NIAs, the color coordinate shift value was reduced to 0.016 in the CIE 1976 coordinate system, and a current efficiency of 130.7 cd/A was achieved.

摘要

通过微腔结构可以轻松提高有机发光二极管(OLED)的电流效率和色纯度,但这种提高通常伴随着视角特性的恶化。为了最小化这些强微腔器件所表现出的颜色特性的角度依赖性,我们研究了具有底部共振结构的绿色OLED的光学特性变化。该研究基于改变空穴传输层和半透明阳极的厚度。光学模拟结果表明,通过调整这两层的厚度,可以同时提高电流效率和视角特性。此外,光学模拟预测,在国际照明委员会(CIE)1976坐标系中,角度颜色依赖性可限制在0.019以内。这种最佳条件产生的电流效率约为134 cd/A。为了进一步减少这种颜色偏移,通过氯化铯的去湿过程引入了纳米尺寸的岛状阵列(NIA)。通过采用NIA,在CIE 1976坐标系中颜色坐标偏移值降低到0.016,并且实现了130.7 cd/A的电流效率。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验