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Structural optimization of acceptor molecules guided by a semi-empirical model for organic solar cells with efficiency over 15%

半经验模型指导受体分子结构优化获得效率超过15%的有机太阳能电池

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Abstract

Despite much progress in organic solar cells (OSCs), higher efficiency is still the most desirable goal and can indeed be obtained through rational design of active layer materials and device optimization according to the theoretical prediction. Herein, under the guidance of a semi-empirical model, two new non-fullerene small molecule acceptors (NF-SMAs) with an acceptor-donor-acceptor (A-D-A) architecture, namely, 6T-OFIC and 5T-OFIC, have been designed and synthesized. 6T-OFIC exhibits wider absorption spectrum and a red-shifted absorption onset (λonset) of 946 nm due to its extended conjugation central unit. In contrast, 5T-OFIC with five-thiophene-fused backbone has an absorption with the λonset of 927 nm, which is closer to the predicted absorption range for the best single junction cells based on the semi-empirical model. Consequently, the device based on 5T-OFIC yields a higher power conversion efficiency (PCE) of 13.43% compared with 12.35% of the 6T-OFIC-based device. Furthermore, an impressive PCE of 15.45% was achieved for the 5T-OFIC-based device when using F-2Cl as the third component. 5T-OFIC offers one of a few acceptor cases with efficiencies over 15% other than Y6 derivatives.

摘要

本工作中, 在我们发展的半经验模型的指导下, 设计合成了两个A-D-A骨架受体分子, 6T-OFIC和5T-OFIC. 因其较长的共轭骨架, 6T-OFIC的截止吸收波长为946 nm. 相比于6T-OFIC, 因其骨架少一个噻吩单元, 5T-OFIC分子的截止吸收波长为927 nm, 更接近半经验模型所预测的最佳单结器件的截止吸收波长. 最终, 基于PM6:5T-OFIC的器件获得了13.43%的能量转换效率, 高于PM6:6T-OFIC器件. 以F-2Cl作为第三组份, 基于PM6:F-2Cl:5TOFIC的三元器件其填充和开压得到了明显的提高, 最终获得了15.45%的能量转换效率.

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Acknowledgements

The work was supported by the Ministry of Science and Technology, China (2019YFA0705900 and 2016YFA0200200), the National Natural Science Foundation of China (21935007, 52025033 and 51773095), Natural Science Foundation of Tianjin (20JCZDJC00740 and 17JCJQJC44500) and the 111 Project (B12015).

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Authors

Contributions

Meng L, Chen Y, Gao HH and Wu S designed the project; Wan X, Li C and Chen Y directed the research; Meng L, Sun Y, Guo Z and Chen H fabricated and characterized the devices. Yang Y and Wang J performed the GIWAXS measurements. Meng L wrote the paper, with support from Chen Y. All authors contributed to the general discussion.

Corresponding author

Correspondence to Yongsheng Chen  (陈永胜).

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Conflict of interest

The authors declare no conflict of interest.

Supplementary information

Experimental details and supporting data are available in the online version of the paper.

Lingxian Meng is a PhD candidate under the supervision of Profs Yongsheng Chen and Xiangjian Wan at Nankai University. She received her Bachelor degree from the College of Chemistry and Molecular Engineering, Zhengzhou University in 2016. Her research focuses on organic photovoltaic materials.

Huan-Huan Gao is a PhD candidate under the supervision of Profs Yongsheng Chen and Xiangjian Wan at Nankai University. She received her BSc degree in chemistry from Nanyang Normal University in 2013 and MSc degree in organic chemistry from Nankai University in 2016. Her research focuses on the design and synthesis of organic photovoltaic materials.

Simin Wu is a Master candidate under the supervision of Prof. Yongsheng Chen at Nankai University. He received his BSc degree in polymer materials and engineering from Beijing University of Chemical Technology in 2019. His research focuses on the design and synthesis of organic photovoltaic materials.

Yongsheng Chen received his PhD in chemistry from the University of Victoria in 1997. From 2003, he has been a Chair Professor at Nankai University. His main research interests focus on carbon-based nanomaterials and organic functional materials for green energy applications.

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Structural optimization of acceptor molecules guided by a semi-empirical model for organic solar cells with efficiency over 15%

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Meng, L., Gao, HH., Wu, S. et al. Structural optimization of acceptor molecules guided by a semi-empirical model for organic solar cells with efficiency over 15%. Sci. China Mater. 64, 2388–2396 (2021). https://doi.org/10.1007/s40843-020-1651-5

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