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Fluorination-enabled optimal morphology leads to over 11% efficiency for inverted small-molecule organic solar cells
Open accessAbstract
Solution-processable small molecules for organic solar cells have attracted intense attention for their advantages of definite molecular structures compared with their polymer counterparts. However, the device efficiencies based on small molecules are still lower than those of polymers, especially for inverted devices, the highest efficiency of which is <9%. Here we report three novel solution-processable small molecules, which contain π-bridges with gradient-decreased electron density and end acceptors substituted with various fluorine atoms (0F, 1F and 2F, respectively). Fluorination leads to an optimal active layer morphology, including an enhanced domain purity, the formation of hierarchical domain size and a directional vertical phase gradation. The optimal morphology balances charge separation and transfer, and facilitates charge collection. As a consequence, fluorinated molecules exhibit excellent inverted device performance, and an average power conversion efficiency of 11.08% is achieved for a two-fluorine atom substituted molecule.
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Cites
Small molecule semiconductors for high-efficiency organic photovoltaics
Lin, Y., Li, Y., & Zhan, X. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15313k · Cited by 1,751
Cited by
Wan, X., Li, C., Zhang, M., & Chen, Y. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00084a · Cited by 532
Advantages, challenges and molecular design of different material types used in organic solar cells
Yi, J., Zhang, G., Yu, H., & Yan, H. (2023) · Nature Reviews Materials · doi:10.1038/s41578-023-00618-1 · Cited by 522
Li, T., Dai, S., Ke, Z., Yang, L., Wang, J., Yan, C., Ma, W., & Zhan, X. (2018) · Advanced Materials · doi:10.1002/adma.201705969 · Cited by 384
Self-citationLi, X., Pan, F., Sun, C., Zhang, M., Wang, Z., Du, J., Wang, J., Xiao, M., Xue, L., Zhang, Z.-G., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08508-3 · Cited by 308
Self-citationToward Predicting Efficiency of Organic Solar Cells via Machine Learning and Improved Descriptors
Sahu, H., Rao, W., Troisi, A., & Ma, H. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201801032 · Cited by 258
Metadata
- Authors
- Deng, D., Zhang, Y., Zhang, J., Wang, Z., Zhu, L., Fang, J., Xia, B., Wang, Z., Lu, K., Ma, W., & Wei, Z.
- Venue
- Nature Communications
- Published
- 2016-12-19
- Volume
- 7
- Issue
- 1
- Pages
- 13740-13740
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2566043904
- Cited by
- 596
- References
- 1
- FWCI
- 49.55
- Type
- journal article
- Language
- en
- Open access
- gold
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- Deng, D., Zhang, Y., Zhang, J., Wang, Z., Zhu, L., Fang, J., Xia, B., Wang, Z., Lu, K., Ma, W., & Wei, Z. (2016). Fluorination-enabled optimal morphology leads to over 11% efficiency for inverted small-molecule organic solar cells. Nature Communications. https://doi.org/10.1038/ncomms13740
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