Spatial Ionic Engineering Enables Depth‐Independent Homogeneity and Strain Relaxation in Efficient Inverted Perovskite Solar Cells

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Authors: Minseong Kim, Dongjin Lee, Chang Hyeon Yoon, Jongdeuk Seo, Sujung Park, Dongshin Kim, Dongshin Kim, Jaehwi Lee, Jung Geon Son, Yu Jin Shin, Yu Jin Shin, Hyungsu Jang
+8 more Min Jung Sung, Tae Joo Shin, Shinuk Cho, Junsu Kim, Yun Seop Shin, Yun Seop Shin, Dong Suk Kim, Dong Suk Kim
Cited by: 2
References: 31

Abstract

ABSTRACT Mixed‐halide perovskites are central to high‐efficiency inverted perovskite solar cells (PSCs), yet the spatial inhomogeneity of multiple halides remains an unresolved challenge that induces strain, defect formation, and interfacial recombination. Here, we uncovered the depth‐dependent distribution of halide ions within a triple‐halide perovskite, wherein the bromine content progressively increases with increasing depth, while chloride contents are preferentially enriched near both the top and bottom interfaces. To rectify such compositional gradients, we introduced methylammonium halides (MAX; X = I − , Br − , Cl − ) post‐treatments, with MABr identified as the most efficient agent for reestablishing halide compositional uniformity. Depth‐resolved analyses demonstrated that MABr treatment effectively homogenizes the halide distribution across the perovskite film, thereby alleviating lattice strain and promoting enhanced crystallographic order. The relaxation of lattice strain drives epitaxial‐like crystallization, producing films with reinforced (100) orientation, enlarged and fully merged grains. Moreover, the treatment‐induced n‐type surface enables an energetically favorable interface with C 60 , which promotes effective hole extraction. Such structural and interfacial refinement translate into a champion efficiency of 25.72% and superior operational stability, retaining over 96% of the initial efficiency after 700 h of continuous illumination. Overall, MABr‐mediated ionic homogenization provides a universal framework for composition‐strain coupling, enabling scalable and intrinsically stable multi‐halide perovskite photovoltaics.

Fields of Study & Subjects

Perovskite Materials and Applications TiO2 Photocatalysis and Solar Cells Machine Learning in Materials Science

Publication details

Journal / source
Advanced Functional Materials
Publisher
Wiley
Volume
36
Issue
75
Publication date
21 February 2026
Language
EN