Utilizing machine learning to enhance performance of thin-film solar cells based on Sb <sub>2</sub> (S <sub> <i>x</i> </sub> Se <sub> 1− <i>x</i> </sub> ) <sub>3</sub> : investigating the influence of material properties
Tanvir Mahtab Khan, Okba Saidani, Sheikh Rashel Al Ahmed
Abstract
) of 0.999, is able to predict the data with precision. This numerical analysis provides valuable data for the fabrication of an environmentally friendly, economical, and incredibly non-toxic efficient heterojunction TFSC.
Topics & Concepts
RecombinationMaterials scienceOptoelectronicsThin filmAnalytical Chemistry (journal)Computer scienceNanotechnologyChemistryChromatographyBiochemistryGeneChalcogenide Semiconductor Thin FilmsPerovskite Materials and ApplicationsQuantum Dots Synthesis And Properties