Machine learning-assisted optimization of Cu-based HTLs for lead-free Sr <sub>3</sub> PBr <sub>3</sub> perovskite solar cells achieving over 30% efficiency <i>via</i> SCAPS-1D simulation

The pursuit of efficient and stable lead-free perovskite solar cells (PSCs) is critical for sustainable photovoltaic technologies.

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Publication Details

Journal
Energy Advances
Published
2025-12-24
DOI
https://doi.org/10.1039/d5ya00233h
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning-assisted optimization of Cu-based HTLs for lead-free Sr 3 PBr 3 perovskite solar cells achieving over 30% efficiency via SCAPS-1D simulation

Md. Mahabur Rahman, Mongi Amami, Md. Faruk Hossain, Mutasem Z. Bani-Fwaz et al.
Energy Advances
Perovskite Materials and Applications
article

Machine learning-assisted optimization of Cu-based HTLs for lead-free Sr 3 PBr 3 perovskite solar cells achieving over 30% efficiency via SCAPS-1D simulation

Md. Mahabur Rahman, Mongi Amami, Md. Faruk Hossain, Mutasem Z. Bani-Fwaz, Md. Ferdous Rahman, Lamia Ben Farhat
article en

Abstract

The pursuit of efficient and stable lead-free perovskite solar cells (PSCs) is critical for sustainable photovoltaic technologies.

Energy AdvancesVol. 5(2)
Begum Rokeya University (BD), Rajshahi University of Engineering and Technology (BD), King Khalid University (SA)
King Khalid University
Affordable and clean energy
Openalex Percentile: Top 42%
Perovskite Materials and Applications
DOIOpen Access PDFOpenAlex
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