journal article·2018-02

A novel H-bonding self-assembly heteromeric molecular duplex bearing host and guest energy transfer units as high-performance electroluminescent material

Cheng Zhang, Yi Wang, Qingyu Huang, Jie Zhou, Yan Huang, Suling Zhao, Zhiyun Lu

Dyes and Pigments· Volume 149
Publisher page

Abstract

Abstract Two oligoamide strands with complementary H-bonding sequences bearing 4HB-NIM and 4HB-CzNI were synthesized. 4HB-NIM and 4HB-CzNI could be self-assembled into a heterodimeric dyad (namely 4HB-NIM-CzNI) via quadruple H-bond interactions. Photoluminescence measurements revealed that in both dilute solution and doped film states, more efficient host-guest energy transfer processes could be observed in the duplex 4HB-NIM-CzNI than the physical blends of the small molecular guest reference compound NIM and the host single strand 4HB-CzNI, which should be attributed to the shortened spatial distances in 4HB-NIM-CzNI. In addition, in comparison with NIM and the guest single strand 4HB-NIM, 4HB-NIM-CzNI shows much higher photoluminescence quantum yield [0.53 vs 0.04 (NIM) or 0.35 (4HB-NIM)] in neat-film state, indicative of the more alleviated concentration quenching of the guest fluorophore in 4HB-NIM-CzNI than 4HB-NIM and NIM. As a consequence, an organic light-emitting diode (OLED) with 4HB-NIM-CzNI as the light-emitting dopant shows much more improved electroluminescent performance than its 4HB-NIM-based reference OLED: with lower turn-on voltage (5.0 vs 5.9 V), higher maximum luminance (5260 vs 2980 cd m−2) and current efficiency (3.5 vs 3.0 cd A−1) as well as lower efficiency roll-off. All these results indicated that the integration of both host and guest fluorophores into H-bonding self-assembled material should be an effective strategy to construct high performance supramolecular electroluminescent materials.
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Research context

OpenAlex topics: Luminescence and Fluorescent Materials · Organic Light-Emitting Diodes Research · Organic Electronics and Photovoltaics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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