Prince Gaka

Redefining tropical photovoltaics: an AI–DFT-driven physics-constrained framework linking electronic structure, climate response, and device-level performance in CsPbI3 perovskites

Overall, the proposed AI–DFT framework provides a physically interpretable computational approach for climate-aware prioritization of perovskite photovoltaic materials by connecting quantum-derived descriptors, ML predictions, environmental factors, sensitivity-based robustness assessment, and device-level performance estimation.