钙钛矿(结构)
材料科学
化学工程
薄膜
纳米技术
工程类
作者
Jesse L. Starger,Amy E. Louks,Kelly Schutt,E. Ashley Gaulding,Robert W. Epps,Rosemary C. Bramante,Ross A. Kerner,Kai Zhu,Joseph J. Berry,Nicolas Javier Alvarez,Richard Allan Cairncross,Axel F. Palmstrom
标识
DOI:10.1016/j.xcrp.2025.102655
摘要
The engineering of mixed-solvent formulations and their evaporation conditions are key to reproducible perovskite coatings for high-performance photovoltaics. Here, we report a lumped-parameter evaporation model to predict the evolution of a perovskite ink liquid film over time (solvent ratio, solute concentration, and film thickness). The drying-rate model is validated via in situ film-thickness measurements, and the predicted transient liquid film state is mapped as a process path. These methods allow for the prediction of process sensitivity to local environmental factors and the understanding and visualization of a broader processing parameter space enabled through the coupling of process and ink engineering. Process maps are applied to create a new framework for scalable perovskite coating development with a goal of improving the reproducibility and transferability of perovskite fabrication. This approach is demonstrated with blade-coated FA 0.83 Cs 0.17 PbI 3 photovoltaic devices, improving the photovoltaic conversion efficiency from 17.5% ± 1.7% to 20.3% ± 0.6%.
科研通智能强力驱动
Strongly Powered by AbleSci AI