Machine learning prediction of dual absorber lead-free perovskite solar cells for boosting PCE

Abstract Curtailing the toxicity level of perovskites is a considerable obstacle resisting the wide-scale commercialization of perovskite solar cells (PSCs). This study investigates the impact of implementing several charge transport layers (CTLs) on the performance of the proposed lead-free Cs2TiCl...

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Autors principals:	Shorok Elewa, Nihal F. F. Areed, Bedir Yousif, Mohy Eldin A. Abo-Elsoud
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-05-01
Col·lecció:	Scientific Reports
Matèries:	Bi-layer Double perovskites Lead-free Machine learning Photovoltaics PSCs
Accés en línia:	https://doi.org/10.1038/s41598-026-51970-5
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