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Title: A Facile Method to Fine‐Tune Polymer Aggregation Properties and Blend Morphology of Polymer Solar Cells Using Donor Polymers with Randomly Distributed Alkyl Chains

Abstract

Abstract The device performance of polymer solar cells (PSCs) is strongly dependent on the blend morphology. One of the strategies for improving PSC performance is side‐chain engineering, which plays an important role in controlling the aggregation properties of the polymers and thus the domain crystallinity/purity of the donor–acceptor blends. In particular, for a family of high‐performance donor polymers with strong temperature‐dependent aggregation properties, the device performances are very sensitive to the size of alkyl chains, and the best device performance can only be achieved with an optimized odd‐numbered alkyl chain. However, the synthetic route of odd‐numbered alkyl chains is costly and complicated, which makes it difficult for large‐scale synthesis. Here, this study presents a facile method to optimize the aggregation properties and blend morphology by employing donor polymers with a mixture of two even‐numbered, randomly distributed alkyl chains. In a model polymer system, this study suggests that the structural and electronic properties of the random polymers comprising a mixture of 2‐octyldodecyl and 2‐decyltetradecyl alkyl chains can be systematically tuned by varying the mixing ratio, and a high power conversion efficiency (11.1%) can be achieved. This approach promotes the scalability of donor polymers and thus facilitates the commercialization of PSCs.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [2];  [1];  [1];  [1];  [1];  [2];  [3]
  1. Department of Chemistry and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong
  2. Department of Physics and Organic and Carbon Electronics Laboratory North Carolina State University Raleigh NC 27695 USA
  3. Department of Chemistry and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong, Hong Kong University of Science and Technology‐Shenzhen Research Institute No. 9 Yuexing 1st RD, Hi‐tech Park Shenzhen Nanshan 518057 P. R. China
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1398811
Grant/Contract Number:  
DE‐AC02‐05CH11231
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Advanced Energy Materials
Additional Journal Information:
Journal Name: Advanced Energy Materials Journal Volume: 8 Journal Issue: 6; Journal ID: ISSN 1614-6832
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
Germany
Language:
English

Citation Formats

Yao, Huatong, Li, Yunke, Hu, Huawei, Chow, Philip C. Y., Chen, Shangshang, Zhao, Jingbo, Li, Zhengke, Carpenter, Joshua H., Lai, Joshua Yuk Lin, Yang, Guofang, Liu, Yuhang, Lin, Haoran, Ade, Harald, and Yan, He. A Facile Method to Fine‐Tune Polymer Aggregation Properties and Blend Morphology of Polymer Solar Cells Using Donor Polymers with Randomly Distributed Alkyl Chains. Germany: N. p., 2017. Web. doi:10.1002/aenm.201701895.
Yao, Huatong, Li, Yunke, Hu, Huawei, Chow, Philip C. Y., Chen, Shangshang, Zhao, Jingbo, Li, Zhengke, Carpenter, Joshua H., Lai, Joshua Yuk Lin, Yang, Guofang, Liu, Yuhang, Lin, Haoran, Ade, Harald, & Yan, He. A Facile Method to Fine‐Tune Polymer Aggregation Properties and Blend Morphology of Polymer Solar Cells Using Donor Polymers with Randomly Distributed Alkyl Chains. Germany. https://doi.org/10.1002/aenm.201701895
Yao, Huatong, Li, Yunke, Hu, Huawei, Chow, Philip C. Y., Chen, Shangshang, Zhao, Jingbo, Li, Zhengke, Carpenter, Joshua H., Lai, Joshua Yuk Lin, Yang, Guofang, Liu, Yuhang, Lin, Haoran, Ade, Harald, and Yan, He. Tue . "A Facile Method to Fine‐Tune Polymer Aggregation Properties and Blend Morphology of Polymer Solar Cells Using Donor Polymers with Randomly Distributed Alkyl Chains". Germany. https://doi.org/10.1002/aenm.201701895.
@article{osti_1398811,
title = {A Facile Method to Fine‐Tune Polymer Aggregation Properties and Blend Morphology of Polymer Solar Cells Using Donor Polymers with Randomly Distributed Alkyl Chains},
author = {Yao, Huatong and Li, Yunke and Hu, Huawei and Chow, Philip C. Y. and Chen, Shangshang and Zhao, Jingbo and Li, Zhengke and Carpenter, Joshua H. and Lai, Joshua Yuk Lin and Yang, Guofang and Liu, Yuhang and Lin, Haoran and Ade, Harald and Yan, He},
abstractNote = {Abstract The device performance of polymer solar cells (PSCs) is strongly dependent on the blend morphology. One of the strategies for improving PSC performance is side‐chain engineering, which plays an important role in controlling the aggregation properties of the polymers and thus the domain crystallinity/purity of the donor–acceptor blends. In particular, for a family of high‐performance donor polymers with strong temperature‐dependent aggregation properties, the device performances are very sensitive to the size of alkyl chains, and the best device performance can only be achieved with an optimized odd‐numbered alkyl chain. However, the synthetic route of odd‐numbered alkyl chains is costly and complicated, which makes it difficult for large‐scale synthesis. Here, this study presents a facile method to optimize the aggregation properties and blend morphology by employing donor polymers with a mixture of two even‐numbered, randomly distributed alkyl chains. In a model polymer system, this study suggests that the structural and electronic properties of the random polymers comprising a mixture of 2‐octyldodecyl and 2‐decyltetradecyl alkyl chains can be systematically tuned by varying the mixing ratio, and a high power conversion efficiency (11.1%) can be achieved. This approach promotes the scalability of donor polymers and thus facilitates the commercialization of PSCs.},
doi = {10.1002/aenm.201701895},
journal = {Advanced Energy Materials},
number = 6,
volume = 8,
place = {Germany},
year = {Tue Oct 10 00:00:00 EDT 2017},
month = {Tue Oct 10 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
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https://doi.org/10.1002/aenm.201701895

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