Machine Learning-Driven SCAPS Modeling for Optimizing CH3NH3SnBr3 Perovskite Solar Cells : Analytical Insights into Materials for Hole Transport and the Active Layer

This work explores the potential for integrating organic compounds, which serve as absorbers, with HTL to achieve steady, efficient PSCs. This study's proposed architecture is made up of ETL, HTL, and a CH3NH3SnBr3 absorber. The effect of thickness, doping, and defect densities of absorber, HTL...

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Publié dans:Langmuir : the ACS journal of surfaces and colloids. - 1985. - 41(2025), 17 vom: 06. Mai, Seite 11215-11237
Auteur principal: Ghosh, Avijit (Auteur)
Autres auteurs: Moumita, Mahbuba, Bappy, Md Aliahsan, Dey, Nondon Lal, Aktarujjaman, Md, Islam Jim, Md Majadul, Awwad, Nasser S, Ibrahium, Hala A
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:Langmuir : the ACS journal of surfaces and colloids
Sujets:Journal Article
Description
Résumé:This work explores the potential for integrating organic compounds, which serve as absorbers, with HTL to achieve steady, efficient PSCs. This study's proposed architecture is made up of ETL, HTL, and a CH3NH3SnBr3 absorber. The effect of thickness, doping, and defect densities of absorber, HTL, and ETL layers and interface defect densities on a solar device's output is investigated utilizing the SCAPS-1D model. The FTO/SnS2/CH3NH3SnBr3/Ni structure has a VOC of 0.991 V, a JSC of 28.796 mA cm-2, a PCE of 23.88%, and an FF of 83.69%. Concerns about stability, rapid oxidation of Sn2+ to Sn4+, and high defect density limit the efficiency of CH3NH3SnBr3-based solar cells. The FTO/SnS2/CH3NH3SnBr3/HTL/Ni structure is investigated to prevent Sn oxidation, increase stability, and improve charge transport for improved performance. The analyzed structure is integrated with BiI3/SnS/WSe2/PTAA/CuS/CuI/C6TBTAPH2/CBTS layers as an HTL, resulting in a maximum VOC of 1.128 V, a JSC of 34.014 mA cm-2, a PCE of 33.70%, and an FF of 87.83% with the FTO/SnS2/CH3NH3SnBr3/CBTS/Ni structure. The performance matrix of the investigated best optimum solar cell was predicted by ML with an accuracy rate of roughly 83.75%. This study's useful design and important discoveries could result in the creation of an inexpensive CH3NH3SnBr3 thin-film solar cell
Description:Date Revised 06.05.2025
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1520-5827
DOI:10.1021/acs.langmuir.5c01125