Quantifying cooperative FA+/MA+ ion migration in mixed perovskites via nano-infrared imaging

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Authors: Jing Liang, Mu-Hao Lan, Shu Li Ding, Xing-Hua Xia, Jian Li
Cited by: 1
References: 44

Abstract

ABSTRACT Ion migration plays a critical role in the operational stability and efficiency of hybrid perovskite solar cells, yet direct and species-specific quantification of mobile cations remains challenging. Here, we employ infrared photo-induced force microscopy (IR-PiFM) to investigate the migration dynamics of MA+ and FA+ in MAPbI3, FAPbI3 and FA0.5MA0.5PbI3. These techniques allow nanoscale mapping and real-time tracking of individual cations with high chemical specificity and 250 μs temporal resolution. Our results reveal composition- and location-dependent ion transport behavior; while MA+ exhibits higher mobility in pure MAPbI3, its diffusion is significantly suppressed in the mixed-cation system. Surprisingly, FA+ and MA+ in FA0.5MA0.5PbI3 exhibit similar migration rates, suggesting a cooperative migration mechanism. Density functional theory calculations support this interpretation, showing that A-site mixing alters lattice symmetry and raises migration barriers through steric and electrostatic interactions. Bias-dependent nano-infrared imaging and open-circuit voltage measurements further show that mixed-cation perovskites confine cation motion and suppress bulk migration, leading to stabilized internal fields and improved voltage performance. These results provide direct evidence for cooperative cation migration dynamics in mixed A-cation perovskites and demonstrate that controlled cation mobility, rather than complete immobilization, may be key to achieving both efficiency and operational durability in perovskite optoelectronics.

Fields of Study & Subjects

Perovskite Materials and Applications Machine Learning in Materials Science 2D Materials and Applications

Publication details

Journal / source
National Science Review
Publisher
Oxford University Press (OUP)
Volume
13
Issue
6
Pages
nwag071–nwag071
Publication date
31 January 2026
Language
EN