Suppr超能文献

用于近BT.2020绿色发射的多共振片段与传统多环芳烃的融合

Fusion of Multi-Resonance Fragment with Conventional Polycyclic Aromatic Hydrocarbon for Nearly BT.2020 Green Emission.

作者信息

Zhang Yuewei, Li Guomeng, Wang Lu, Huang Tianyu, Wei Jinbei, Meng Guoyun, Wang Xiang, Zeng Xuan, Zhang Dongdong, Duan Lian

机构信息

Key Lab of Organic Optoelectronics and Molecular Engineering of Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China.

Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China.

出版信息

Angew Chem Int Ed Engl. 2022 Jun 13;61(24):e202202380. doi: 10.1002/anie.202202380. Epub 2022 Apr 13.

Abstract

Herein, we report a general strategy for achieving ultra-pure green emissions by suppressing the shoulder peaks in the emission spectra of conventional polycyclic aromatic hydrocarbons (PAHs). Through precise synthetic fusion of multi-resonance (MR) fragments with conventional PAH, extended π-conjugation lengths, increased molecular rigidity, and reduced vibrational frequency could be simultaneously realized. The proof-of-concept emitters exhibited ultra-pure green emissions with dominant peaks at ca. 521 nm, photoluminescence quantum yields that are greater than 99 %, a small full-width-at-half-maximum of 23 nm, and CIE coordinates of (0.16, 0.77). The bottom-emitting organic light-emitting diode (OLED) exhibited a record-high CIEy value of 0.74 and a high maximum external quantum efficiency of 30.5 %. The top-emitting OLED not only achieved a BT.2020 green color (CIE: 0.17, 0.78) for the first time but also showed superior performance among all green OLED devices, with a current efficiency of 220 cd A .

摘要

在此,我们报告了一种通过抑制传统多环芳烃(PAHs)发射光谱中的肩峰来实现超纯绿色发射的通用策略。通过将多共振(MR)片段与传统PAH进行精确的合成融合,可以同时实现延长的π共轭长度、增加的分子刚性和降低的振动频率。概念验证发射体表现出超纯绿色发射,主峰在约521nm处,光致发光量子产率大于99%,半高宽小至23nm,CIE坐标为(0.16, 0.77)。底部发射有机发光二极管(OLED)表现出创纪录的高CIEy值0.74和30.5%的高最大外量子效率。顶部发射OLED不仅首次实现了BT.2020绿色(CIE:0.17, 0.78),而且在所有绿色OLED器件中表现出优异的性能,电流效率为220cd A 。

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