Leveraging machine learning to consolidate the diversity in experimental results of perovskite solar cells

• Published in: RSC advances Vol. 13; no. 32; pp. 22529 - 22537
• Main Authors: Hussain, Wahid, Sawar, Samina, Sultan, Muhammad
• Format: Journal Article
• Language: English
• Published: England Royal Society of Chemistry 19.07.2023; The Royal Society of Chemistry
• Subjects: Automation; Chemistry; Data science; Energy conversion efficiency; Energy gap; Machine learning; Optimization; Perovskites; Photovoltaic cells; Solar cells

Perovskite solar cells offer great potential for smart energy applications due to their flexibility and solution processability. However, the use of solution-based techniques has resulted in significant variations in device fabrication, leading to inconsistent results on the same composition. Machin...