Performance Boost in Novel CBAI/SNMO Double Perovskite Solar Cells via GO-Induced Back Surface Field Optimization

Key Points

• The study aims to enhance the performance of double-perovskite solar cells through optimization techniques.
• Utilized SCAPS-1D simulation for device modeling
• Applied machine learning for architectural evaluation
• Evaluated four distinct double-perovskite architectures
• Examined the role of back surface field optimization.
• Identified significant performance improvements in specific device architectures
• Highlighted the effectiveness of GO-induced optimizations
• Demonstrated enhanced efficiency metrics across tested devices

Abstract