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

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• 作者：Ye Tao ; Lijia Xu ; Zhen Zhang ; Runfeng Chen ; Huanhuan Li ; Hui Xu ; Chao Zheng ; Wei Huang
• 刊名：Journal of the American Chemical Society
• 出版年：2016
• 出版时间：August 3, 2016
• 年：2016
• 卷：138
• 期：30
• 页码：9655-9662
• 全文大小：586K
• 年卷期：0
• ISSN：1520-5126

文摘

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.