Unveiling degradation patterns in dye-sensitized solar cells: a machine learning perspective

Abstract This study examines the time-dependent degradation of dye-sensitized solar cells (DSSCs) by systematically investigating several critical parameters, including TiO2 thickness, porosity, dye concentration, and iodine-based electrolyte concentration. We developed a novel figure of merit (FOM)...

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Hlavní autoři:	Ahmet Sait Alali, Mahmoud Ashraf, Ahmad Muhammad, Sameh O. Abdellatif
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-07-01
Edice:	Scientific Reports
Témata:	Dye-sensitized solar cells Degradation Finite element model Long short-term memory Predictive modeling
On-line přístup:	https://doi.org/10.1038/s41598-025-05536-6
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