Nanoscale Colloids Engineering for Minimizing Efficiency Loss in Scalable Perovskite Solar Cells

Perovskite solar cells (PSCs) have achieved significantly high power conversion efficiencies (PCEs), approaching the performance of silicon-based solar cells. However, scaling up PSCs while maintaining high-efficiency remains a significant challenge. Here, we report a negligible efficiency loss in scalable PSCs by formate anions stabilized colloids. The formate anions enhance the charge density on colloidal surfaces, strengthening electrostatic repulsion and preventing particle aggregation. This significantly reduces colloidal size to around 30 nm and promotes homogeneous nucleation, allowing the scalable fabrication of high-quality perovskite thin films from a small area to mini module size in ambient air. As a result, PSCs achieved PCEs of 24.30% (1 cm<sup>2</sup>) and 24.10% (12.6 cm<sup>2</sup>, 5 cm × 5 cm mini module), with negligible efficiency loss upon scaling. To the best of our knowledge, this represents the highest efficiency reported for mini-modules. Most importantly, the encapsulated mini module retained 95% of their initial efficiency after 1000 h of operation at maximum power point tracking in ambient air.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2026-02-09
DOI
https://doi.org/10.1002/adma.202520776
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nanoscale Colloids Engineering for Minimizing Efficiency Loss in Scalable Perovskite Solar Cells

Tai Li, Xiang Gao, Guang Yang, Yingdong Xia et al.
Advanced Materials
Perovskite Materials and Applications
article

Nanoscale Colloids Engineering for Minimizing Efficiency Loss in Scalable Perovskite Solar Cells

Tai Li, Xiang Gao, Guang Yang, Yingdong Xia, Tengfei Pan, Qingxun Guo, Zhiwei Li, Qing Yao, Xiaozheng Duan, Kaiyu Wang, Zhelu Hu, Yonghua Chen, Lingfeng Chao
article en

Abstract

Perovskite solar cells (PSCs) have achieved significantly high power conversion efficiencies (PCEs), approaching the performance of silicon-based solar cells. However, scaling up PSCs while maintaining high-efficiency remains a significant challenge. Here, we report a negligible efficiency loss in scalable PSCs by formate anions stabilized colloids. The formate anions enhance the charge density on colloidal surfaces, strengthening electrostatic repulsion and preventing particle aggregation. This significantly reduces colloidal size to around 30 nm and promotes homogeneous nucleation, allowing the scalable fabrication of high-quality perovskite thin films from a small area to mini module size in ambient air. As a result, PSCs achieved PCEs of 24.30% (1 cm<sup>2</sup>) and 24.10% (12.6 cm<sup>2</sup>, 5 cm × 5 cm mini module), with negligible efficiency loss upon scaling. To the best of our knowledge, this represents the highest efficiency reported for mini-modules. Most importantly, the encapsulated mini module retained 95% of their initial efficiency after 1000 h of operation at maximum power point tracking in ambient air.

Advanced MaterialsVol. 38(15)
University of Science and Technology of China (CN), Nanjing Tech University (CN), Hefei University of Technology (CN), Shanghai Institute of Applied Physics (CN), State Key Laboratory of Polymer Physics and Chemistry (CN)
National Natural Science Foundation of China, People's Government of Jilin Province, Changchun Institute of Applied Chemistry, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 60%
Perovskite Materials and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.