Progress of organic photovoltaics towards 20% efficiency

被引：43

作者：

Lei Zhu ^{[1
]}

Ming Zhang ^{[1
]}

Zichun Zhou ^{[1
]}

Wenkai Zhong ^{[1
]}

Tianyu Hao ^{[2
]}

Shengjie Xu ^{[1
]}

Rui Zeng ^{[1
]}

Jiaxing Zhuang ^{[1
]}

Xiaonan Xue ^{[1
]}

Hao Jing ^{[3
]}

Yongming Zhang ^{[3
]}

Feng Liu ^{[1
]}

机构：

[1] Shanghai Jiao Tong University,School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Key Laboratory of Electrical Insulation and Thermal Aging

[2] South China University of Technology,Institute of Polymer Optoelectronic Materials and Devices, State Key Laboratory of Luminescent Materials and Devices

[3] Shanghai OPV Solar New Energy Technology Co. Ltd,State Key Laboratory of Fluorinated Functional Membrane Materials

[4] Dongyue Future Hydrogen Energy Materials Company,undefined

[5] Suzhou Laboratory,undefined

来源：

Nature Reviews Electrical Engineering | 2024年 / 1卷 / 9期

关键词：

D O I：

10.1038/s44287-024-00080-3

中图分类号：

学科分类号：

摘要：

Organic photovoltaic (OPV) technology is flexible, lightweight, semitransparent and ecofriendly, but it has historically suffered from low power conversion efficiency (PCE). However, since 2015, the materials design and PCE of OPV devices have been markedly optimized, and there is now an increasing understanding of OPV optoelectronic processes and blending morphology within the bulk heterojunction framework. In this Review, we survey OPV technology, discussing progress in enhancing the PCE and in understanding the relationship between structure and performance. This progress includes the development of emerging OPV materials and techniques for manipulation and characterization of thin-film morphology. Furthermore, we address the practical application issues ahead of OPV technology, showcasing strategies for improving device stability, fabricating large-area modules and realizing device encapsulation. Finally, we highlight future research directions, including the use of machine learning for material design and synthesis, device fabrication optimization, and prediction and optimization of device performance.

引用

页码：581 / 596

页数：15

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