Performance optimization and machine learning-guided parameter sensitivity analysis of lead-free KGeCl 3 perovskite solar cells

RSC Advances 2026 Open access

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Authors: Tanzir Ahamed, Md. Mehedi Hasan Bappy, Md. Rashidul Islam, Md. Shihab Uddin, Md. Arafat Hossain, Tanvir Ahammed
DOI: 10.1039/d6ra00262e
Cited by: 9
References: 95

Abstract

Lead-free KGeCl 3 perovskite solar cells are optimized using SCAPS-1D and machine learning with WS 2 , ZnSe, PC 60 BM, and SnS 2 ETLs. The ETL WS 2 provides the best band alignment, lowest recombination, and highest simulated efficiency.

Fields of Study & Subjects

Perovskite Materials and Applications Machine Learning in Materials Science Heusler alloys: electronic and magnetic properties

Publication details

Journal / source
RSC Advances
Publisher
Royal Society of Chemistry (RSC)
Volume
16
Issue
10
Pages
8985–9011
Publication date
1 January 2026
Language
EN