id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-5916	Manoj Kumar Nigam	Optimization of CsPbI₃-Based All-Inorganic Perovskite Solar Cells Using Machine Learning: A Framework Supported by SCAPS-1D and SHAP	2025	13	.pdf	application/pdf	6366	333	37	Their implementation has led to enhancements in power conversion efficiency (PCE), open-circuit voltage (VOC), and fill factor (FF) metrics, thereby expanding the array of materials applicable in perovskite solar cells (PSCs). MATERIAL METHODOLOGY A. Configuration of the Device and Simulation The Solar Cell Capacitance Simulator, known as SCAPS-1D, has been instrumental in our development and testing of machine learning (ML) techniques aimed at enhancing perovskite solar cells.	cache/cana-5916.pdf	txt/cana-5916.txt