Perovskite solar cells, known for high efficiency, face challenges in large-scale defect-free production.

Focus on the critical step of crystallization in perovskite thin-film formation.

AI analyzes over 1,000 thin films' drying and crystallization using recorded videos.

Photoluminescence data from videos provides insights into factors controlling thin-film quality.

A fraction of videos trains a neural network to predict efficiency and film thickness.

AI accurately predicts outcomes, providing actionable recommendations for thin-film quality improvement.

Impact: Successful industrialization of perovskite solar cells could contribute to the broader adoption of efficient photovoltaic technologies.