Charge Transfer Dynamics of Doped Graphene Electrodes for Organic Light-Emitting Diodes

石墨烯 材料科学 有机发光二极管 光电子学 阴极 兴奋剂 工作职能 电极 纳米技术 图层(电子) 物理化学 化学
作者
Ick-Joon Park,Tae In Kim,Sung‐Yool Choi
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:14 (38): 43907-43916 被引量:8
标识
DOI:10.1021/acsami.2c12006
摘要

Atomically thin graphene has attracted immense attention as a future transparent electrode for flat-panel displays owing to its excellent conductivity, optical transparency, and flexibility. In particular, a graphene doping process is essential for implementing graphene-based high-performance devices, and the development of a transparent cathode with a low work function is required to simplify the integration process of thin-film transistors and organic light-emitting diodes (OLEDs) into active matrix displays. In this study, a transparent n-doped graphene cathode is proposed for implementing inverted OLEDs through two types of cesium (Cs)-based doping techniques: a dipping method using wet chemicals and an evaporation method under a vacuum atmosphere. The changes in the chemical structures and work functions of the n-doped graphene electrodes, as well as their surface morphologies and transmittances, were systematically investigated. The n-type doping mechanism of graphene was investigated, and a close relationship between the electrical charge transfer characteristics of graphene transistors and the formation of C-O-Cs complexes was revealed. Finally, an effective Cs-doped graphene electrode was developed, exhibiting a dramatically decreased work function while maintaining high transmittance; therefore, the Cs-doped graphene cathode was successfully integrated with inverted OLEDs with a bottom-light emission structure that exhibited enhanced external quantum efficiency of graphene cathode-based OLEDs. Thus, our findings provide a better understanding of the doping strategies and potential of n-doped graphene as a transparent cathode for developing high-performance future displays.

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
akz发布了新的文献求助10
刚刚
1秒前
2秒前
qq3263完成签到,获得积分10
2秒前
111发布了新的文献求助30
3秒前
4秒前
慕青应助慕若涵冰采纳,获得10
4秒前
漂亮123完成签到,获得积分10
4秒前
acadedog发布了新的文献求助10
4秒前
虫虫太可爱了吧完成签到,获得积分10
5秒前
6秒前
aa发布了新的文献求助10
6秒前
huapeng完成签到,获得积分10
7秒前
7秒前
8秒前
9秒前
hnxxangel发布了新的文献求助10
9秒前
密友发布了新的文献求助10
11秒前
香蕉觅云应助敏感思山采纳,获得10
11秒前
12秒前
姜昕完成签到 ,获得积分10
12秒前
海洋球发布了新的文献求助10
12秒前
13秒前
9v关闭了9v文献求助
14秒前
Hello应助wallonce采纳,获得10
15秒前
16秒前
慕青应助emmm采纳,获得10
16秒前
在水一方应助hnxxangel采纳,获得10
17秒前
科研通AI6.2应助wzy采纳,获得10
18秒前
nihao世界发布了新的文献求助10
18秒前
kekeke发布了新的文献求助10
19秒前
20秒前
20秒前
21秒前
张晓斌完成签到,获得积分20
21秒前
22秒前
22秒前
乐观依丝完成签到,获得积分10
23秒前
wwwteng呀完成签到,获得积分10
25秒前
蓝天发布了新的文献求助10
26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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357233
求助须知:如何正确求助?哪些是违规求助? 8171923
关于积分的说明 17206118
捐赠科研通 5412863
什么是DOI,文献DOI怎么找? 2864794
邀请新用户注册赠送积分活动 1842233
关于科研通互助平台的介绍 1690490