Abstract
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 FA0.83Cs0.17PbI3 photovoltaic devices, improving the photovoltaic conversion efficiency from 17.5% +- 1.7% to 20.3% +- 0.6%.
Original language | American English |
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Journal | Cell Reports Physical Science |
DOIs | |
State | Published - 2025 |
NREL Publication Number
- NREL/JA-5K00-92754
Keywords
- blade coating
- confocal probem
- evaporation rate
- ink dynamics
- localized process environment
- perovskite
- photovoltaics
- solar cell
- solution processing
- thin-film deposition