Dataset from study on insight-guided optimization of the individual steps in ambient slot-die coated perovskite solar cells

This dataset was generated as part of a study developing a methodology that couples rheological mapping with coating dynamics, providing transferable insights into the deposition–crystallization interplay essential for roll-to-roll scalable photovoltaics. The insight-guided optimization framework integrates ink rheology control, interfacial engineering, and crystallization management, enabling reproducible, high-quality perovskite films via doctor-blade and slot-die coating.
Hydroxypropyl cellulose (HPC) was employed as a rheological additive to stabilize meniscus formation, suppress pinholes, and enhance film crystallinity. Charge extraction and interface uniformity were improved by introducing a mesoporous Al₂O₃ scaffold on top of NiOₓ, which promoted perovskite infiltration and reduced interfacial defects. Finally, an air-knife quenching step homogenized solvent evaporation, yielding compact, large-grained films with superior optoelectronic properties. Together, these strategies enabled reproducible PSCs with uniform thickness (210–230 nm), improved fill factor and current density, and efficiencies up to 17% on flexible substrates—all processed in ambient air.