High-performance TADF-OLEDs Utilizing Copper(i) Halide Complexes Containing Unsymmetrically Substituted Thiophenyl Triphosphine Ligands
INORGANIC CHEMISTRY FRONTIERS(2025)
Xi An Jiao Tong Univ | Xiamen Univ
Abstract
Highly efficient OLEDs fabricated with thermally activated delayed fluorescent Cu(i) complexes have attracted significant attention. However, achieving both high quantum efficiency and short decay lifetimes remains a considerable challenge. Herein, we reported the successful synthesis and characterization of two rigid triphosphine ligands, each containing two unsymmetrically substituted thiophenyl rings, and their corresponding mononuclear copper(i) halide complexes, CuX(L1) and CuX(L2) [L1 = (2-PPh2-C4H2S)2(3-PPh), X = I (1), Br (2), Cl (3); L2 = (2-PPh2-5-SiMe3-C4HS)2(3-PPh), X = I (4), Br (5), Cl (6)]. The structures and photophysical properties of these complexes were thoroughly investigated. At room temperature, the powder samples of complexes 1-6 exhibited intense delayed fluorescence, ranging from yellow-green to yellow in color (lambda em = 553-581 nm, tau = 3.8-9.4 mu s, and Phi = 0.19-0.29 for 1-3; lambda em = 565-589 nm, tau = 2.2-7.6 mu s, and Phi = 0.36-0.61 for 4-6). The incorporation of two trimethylsilyl groups into the unsymmetrically substituted thiophenyl rings significantly improved the photoluminescence quantum yield (PLQY) and allowed for fine-tuning of the light-emitting color of the complexes. Among them, complex 4 displayed a high PLQY of 0.61 and a short decay lifetime of 2.2 mu s. The radiative decay rate (kr) was 2.8 x 105 s-1, comparable with that of Ir(iii) complexes. Vacuum-deposited organic light-emitting devices incorporating complex 4 exhibited yellow emission, achieving a maximum external quantum efficiency (EQE) of 14.57% and a current efficiency of 33.44 cd A-1.
MoreTranslated text
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
2007
被引用346 | 浏览
2014
被引用141 | 浏览
2014
被引用1693 | 浏览
2014
被引用253 | 浏览
2013
被引用232 | 浏览
2012
被引用322 | 浏览
2016
被引用114 | 浏览
2016
被引用173 | 浏览
2018
被引用89 | 浏览
2018
被引用92 | 浏览
2016
被引用303 | 浏览
2017
被引用22 | 浏览
2016
被引用47 | 浏览
2018
被引用16 | 浏览
2019
被引用24 | 浏览
2020
被引用41 | 浏览
2015
被引用156 | 浏览
2021
被引用24 | 浏览
2021
被引用55 | 浏览
2022
被引用7 | 浏览
2022
被引用5 | 浏览
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper