Achieving Optimal Self-Adaptivity for Dynamic Tuning of Organic Semiconductors through Resonance Engineering

Ye Tao, Lijia Xu, Zhen Zhang, Runfeng Chen, Huanhuan Li, Hui Xu, Chao Zheng, Wei Huang

科研成果: 期刊稿件文章同行评审

75 引用 (Scopus)

摘要

Current static-state explorations of organic semiconductors for optimal material properties and device performance are hindered by limited insights into the dynamically changed molecular states and charge transport and energy transfer processes upon device operation. Here, we propose a simple yet successful strategy, resonance variation-based dynamic adaptation (RVDA), to realize optimized self-adaptive properties in donor-resonance-acceptor molecules by engineering the resonance variation for dynamic tuning of organic semiconductors. Organic light-emitting diodes hosted by these RVDA materials exhibit remarkably high performance, with external quantum efficiencies up to 21.7% and favorable device stability. Our approach, which supports simultaneous realization of dynamically adapted and selectively enhanced properties via resonance engineering, illustrates a feasible design map for the preparation of smart organic semiconductors capable of dynamic structure and property modulations, promoting the studies of organic electronics from static to dynamic.

源语言英语
页(从-至)9655-9662
页数8
期刊Journal of the American Chemical Society
138
30
DOI
出版状态已出版 - 3 8月 2016
已对外发布

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