化学
光伏
异质结
有机太阳能电池
纳米技术
光电子学
工程物理
光伏系统
有机化学
聚合物
电气工程
物理
工程类
材料科学
作者
Jianhua Han,Xu Han,Anirudh Sharma,Jesika Asatryan,Florian Rauch,Alexandra Friedrich,Johannes Krebs,Lukas Swoboda,Julia K. Schuster,Pagidi Sudhakar,Kalluvettukuzhy K. Neena,Maryam Alqurashi,Pakkirisamy Thilagar,Nils Schopper,Ivo Krummenacher,Vladimir Stepanenko,Maik Finze,Holger Braunschweig,Jaime Martín,Frank Würthner
摘要
The triarylborane family has expanded rapidly as valuable π electron-accepting moieties in organic materials, yet the performance and application of triarylboranes in organic photovoltaics (OPVs) have thus far been limited. Herein, we present a comprehensive platform of 17 distinct triarylboranes to investigate their structure-property relationships from single crystals to heterojunction blends and further to OPV device performance. We show that twisted triarylboranes exhibit distinct molecular packing behavior in the solid state, characterized by limited π-π stacking and the lack of the face-on orientation required for efficient light-to-electric conversion, in contrast to state-of-the-art OPV materials. However, when incorporated as a third component, triarylboranes induce red-shifted absorption and blue-shifted photoluminescence spectra in OPV materials, thereby reducing reorganization energies in blends. Furthermore, triarylboranes possessing high dipole moments and trap-free energetics enhance power conversion efficiencies (PCEs) in devices. Notably, careful molecular design of triarylboranes is essential, as strong donor moieties lead to high-lying HOMOs in triarylboranes, creating energetic traps in OPV blends and significantly reducing PCEs. Finally, we demonstrate the application of triarylboranes in semitransparent OPVs, achieving improved PCEs and stability without losing semitransparent performance, and in state-of-the-art PM6/L8-BO-based blends, achieving impressive PCEs of 19.56%. These findings offer valuable guidance for the rational design of triarylboranes for OPVs and related organic electronic applications, reducing reliance on trial-and-error approaches.
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