MXene-Modulated Electrode/SnO2 Interface Boosting Charge Transport in Perovskite Solar Cells

Wang, Yunfan; Xiang, Pan; Ren, Aobo; Lai, Huagui; Zhang, Zhuoqiong; Xuan, Zhipeng; Wan, Zhenxi; Zhang, Jingquan; Hao, Xia; Wu, Lili; Sugiyama, Masakazu; Schwingenschlögl, Udo; Liu, Cai; Tang, Zeguo; Wu, Jiang; Wang, Zhiming; Zhao, Dewei

Type

Article

KAUST Department

Computational Physics and Materials Science (CPMS)
Material Science and Engineering Program
Physical Science and Engineering (PSE) Division

Date

2020-11-17

Embargo End Date

2021-11-17

Submitted Date

2020-09-27

Permanent link to this record

http://hdl.handle.net/10754/666036

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Abstract

Interface engineering is imperative to boost the extraction capability in perovskite solar cells (PSCs). We propose a promising approach to enhance the electron mobility and charge transfer ability of tin oxide (SnO2) electron transport layer (ETL) by introducing a two-dimensional carbide (MXene) with strong interface interaction. The MXene-modified SnO2 ETL also offers a preferable growth platform for perovskite films with reduced trap density. Through a spatially resolved imaging technique, profoundly reduced non-radiative recombination and charge transport losses in PSCs based on MXene-modified SnO2 are also observed. As a result, the PSC achieves an enhanced efficiency of 20.65% with ultralow saturated current density and negligible hysteresis. We provide an in-depth mechanistic understanding of MXene interface engineering, offering an alternative approach to obtain efficient PSCs.

Citation

Wang, Y., Xiang, P., Ren, A., Lai, H., Zhang, Z., Xuan, Z., … Zhao, D. (2020). MXene-Modulated Electrode/SnO2 Interface Boosting Charge Transport in Perovskite Solar Cells. ACS Applied Materials & Interfaces. doi:10.1021/acsami.0c17338

Sponsors

We would like to thank Dr. Yingming Zhu for SEM images capturing and analysis. This work was financially supported by the Science and Technology Program of Sichuan Province (nos. 2017GZ0052, 2019ZDZX0015, 2020YFH0079, and 2020JDJQ0030), the National Key Research, Development Program of China (no. 2019YFB2203400), the Fundamental Research Funds for the Central Universities (nos. YJ201722, YJ201955, and ZYGX2019Z018), the National Natural Science Foundation of China (no. 61974014), and China Postdoctoral Science Foundation (no. 232888). The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST).