Issue 19, 2022

A comprehensive optimization strategy: potassium phytate-doped SnO2 as the electron-transport layer for high-efficiency perovskite solar cells

Abstract

For perovskite solar cells (PSCs), the electron transport layer (ETL) is a key component for the separation and transport of charge carriers. Also, the modulation of perovskite crystallization processes is important to obtain highly crystalline and stable perovskite films. Herein, we proposed a novel strategy, i.e. potassium phytate (PP)-doped SnO2 as the ETL. The incorporation of PP into the SnO2 ETL not only adjusts the electronic properties of SnO2 but also optimizes the energy level arrangement between SnO2 and the perovskite by passivating the Sn dangling bonds within SnO2. As a result, a better transport/extraction of electrons across the ETL and the ETL/perovskite interface is achieved. Meanwhile, the diffusible K+ cations from the hydrolytic PP fill the lattice defect sites in the perovskite and improve dramatically the crystallinity of the perovskite, and hence reduce the charge trap density of the perovskite and suppress the charge recombination loss. The power conversion efficiency (PCE) is enhanced from 20.14% to 22.14% for the champion PP–SnO2 PSCs relative to the pristine devices. In addition, the stability against humidity of the unencapsulated PSCs with the PP–SnO2 ETL is improved obviously compared to the pristine devices. This work provides a comprehensive optimization strategy for high efficiency and stability PSCs.

Graphical abstract: A comprehensive optimization strategy: potassium phytate-doped SnO2 as the electron-transport layer for high-efficiency perovskite solar cells

Supplementary files

Article information

Article type
Paper
Submitted
04 Mar 2022
Accepted
12 Apr 2022
First published
14 Apr 2022

J. Mater. Chem. C, 2022,10, 7641-7650

A comprehensive optimization strategy: potassium phytate-doped SnO2 as the electron-transport layer for high-efficiency perovskite solar cells

D. Zhao, C. Zhang, M. Zhao, J. Ren, Z. Dai, Y. Wu, Q. Sun, Y. Cui and Y. Hao, J. Mater. Chem. C, 2022, 10, 7641 DOI: 10.1039/D2TC00882C

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