Heterocyclic aromatic amine-modified hole transport layer enables energy level regulation for enhanced performance of deep blue QLEDs
Abstract
Quantum dots (QDs) exhibit great promise for next-generation displays, yet deep blue quantum dots light-emitting diodes [deep blue QLEDs, CIE (International Commission on illumination) y < 0.06] lag behind red and green counterparts due to energy level mismatches and imbalanced carrier mobility. In this work, 2-aminopyridine was employed at the interface between the hole transport layer and the emitting layer to construct stepwise energy level regulation. The mechanism was elucidated through density functional theory calculations, photophysical characterization, and surface morphology analysis. The modifier deepens the HOMO level of the hole transport layer from −5.75 to −5.97 eV and increases hole mobility from 4.08 × 10−7 to 1.56 × 10−6 cm2 V−1 s−1. The device based on the modified hole transport layer achieved a record external quantum efficiency of 23.16% in deep blue QLED (CIE y = 0.027). Interface modification demonstrates an effective approach to high-efficiency deep blue QLEDs and supports the commercialization of QLEDs.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (6)
Yiheng Huang
State Key Laboratory of Optoelectronic Materials and Technologies, School of Materials Science and Engineering Sun Yat‐sen (Zhongshan) University Guangzhou 510275 China
Zhanpeng Qin
School of Chemical Engineering and Technology Tianjin University Tianjin 300072 China
Tianhao Wang
Institute for Advanced Materials and Technology, State Key Laboratory for Advanced Metals and Materials
Xianggao Li
School of Chemical Engineering and Technology Tianjin University Tianjin 300072 China
Shirong Wang
State Key Laboratory of Membrane Biology and Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology and Peking-Tsinghua Center for Life Sciences and International Data Group/McGovern Institute for Brain Research, Peking University
Hongli Liu