Simulation and machine learning driven optimization of Rb <sub>2</sub> SnBr <sub>6</sub> -based lead-free perovskite solar cells using diverse ETLs for enhanced photovoltaic performance
In this work, n–i–p planar heterojunction perovskite solar cells (PSCs) were simulated using SCAPS-1D, employing Rb 2 SnBr 6 as a lead-free, stable, and cost-effective absorber.
Authors
- Avijit Ghosh (ORCID: https://orcid.org/0009-0000-8044-7686)
- Yedluri Anil Kumar (ORCID: https://orcid.org/0000-0002-5383-8240)
- K. Tanveer Alam
- Aijaz Rasool Chaudhry (ORCID: https://orcid.org/0000-0002-0781-0116)
- Mohsina Akter (ORCID: https://orcid.org/0000-0003-3961-2955)
- Md. Selim Reza (ORCID: https://orcid.org/0009-0007-1937-1951)
- Subrata Biswas (ORCID: https://orcid.org/0000-0001-5959-8666)
- Mehreen Maqsood
- Asadul Islam Shimul (ORCID: https://orcid.org/0009-0002-8540-4989)
- Saeed Hasan Nabil
- Dipongkar Ray Sobuj
Institutions
- Gopalganj Science and Technology University (BD)
- Troy University (US)
- Begum Rokeya University (BD)
- Lamar University (US)
- Shenzhen University (CN)
- University of Asia Pacific (BD)
- University of Bisha (SA)
- Saveetha University (IN)
Publication Details
- Journal
- Materials Advances
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ma00955c
- Citations
- 2
- Primary Topic
- Perovskite Materials and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.46
Funders
- University of Bisha