High-Performance Organic Solar Cells Based on a Non-Fullerene Acceptor with a Spiro Core
文献类型:期刊论文
作者 | Sun, H; Sun, P; Zhang, C; Yang, YG; Gao, XY; Chen, F; Xu, ZX; Chen, ZK; Huang, W |
刊名 | CHEMISTRY-AN ASIAN JOURNAL
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出版日期 | 2017 |
卷号 | 12期号:7页码:721-725 |
关键词 | 3d Structure Non-fullerene Acceptors Organic Solar Cells Perylenediimide Power Conversion Efficiency |
ISSN号 | 1861-4728 |
DOI | 10.1002/asia.201601741 |
文献子类 | 期刊论文 |
英文摘要 | Derived from perylenediimide (PDI) building blocks, 3D PDI molecules are considered as a type of promising structure to overcome molecular aggregation, thus improving the performance of organic solar cells. Herein, we report a novel PDI-based derivative, SCPDT-PDI4, with four PDI units connected to a unique spiro core. Attributed to this novel molecular design, SCPDT-PDI4 exhibits a rigid 3D structure, in which the aggregation tendency of PDI chromophores could be effectively attenuated. Additionally, strong intramolecular charge transfer and high charge mobility are achieved due to the well-conjugated structure and electron-rich property of SCPDT. Therefore, fullerene-free organic solar cells based on SCPDT-PDI4 and PTB7-Th achieve a remarkable high efficiency of 7.11%. Such an excellent result demonstrates the opportunity of SCPDT to be a promising building block for non-fullerene acceptors. |
语种 | 英语 |
WOS记录号 | WOS:000399689600001 |
源URL | [http://ir.sinap.ac.cn/handle/331007/27346] ![]() |
专题 | 上海应用物理研究所_中科院上海应用物理研究所2011-2017年 |
推荐引用方式 GB/T 7714 | Sun, H,Sun, P,Zhang, C,et al. High-Performance Organic Solar Cells Based on a Non-Fullerene Acceptor with a Spiro Core[J]. CHEMISTRY-AN ASIAN JOURNAL,2017,12(7):721-725. |
APA | Sun, H.,Sun, P.,Zhang, C.,Yang, YG.,Gao, XY.,...&Huang, W.(2017).High-Performance Organic Solar Cells Based on a Non-Fullerene Acceptor with a Spiro Core.CHEMISTRY-AN ASIAN JOURNAL,12(7),721-725. |
MLA | Sun, H,et al."High-Performance Organic Solar Cells Based on a Non-Fullerene Acceptor with a Spiro Core".CHEMISTRY-AN ASIAN JOURNAL 12.7(2017):721-725. |
入库方式: OAI收割
来源:上海应用物理研究所
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