中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1002/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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