MARATTO

article · Scientific African

Optimizing CsSnI <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si51.svg" display="inline" id="d1e2842"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>3</mml:mn> </mml:mrow> </mml:msub> </mml:math> perovskites with Al and In doping for photovoltaic applications: A computational approach

2026Open accessDebre Tabor University

Abstract

Lead-free perovskite solar cells offer a sustainable pathway for next-generation photovoltaics. This study employs a combined Density Functional Theory (DFT) and SCAPS-1D approach to investigate the structural, electronic, optical, and photovoltaic properties of pristine and Al/In-doped CsSnI 3 . Using the Quantum ESPRESSO package with PBE-GGA, DFT calculations reveal that 3.7% Al 3+ or In 3 + doping enhances the structural stability of CsSnI 3 , with In-doped systems exhibiting optimal Goldschmidt tolerance ( t = 0 . 86 ) and octahedral factors ( μ = 0 . 53 ). The direct bandgap increases from 0.46 eV (pristine) to 1.23 eV (Al-doped) and 1.65 eV (In-doped), with a Fermi level shift promoting p-type conductivity and introducing localized states near band edges. Optical properties calculations indicate strong sub-gap absorption and free-carrier effects in the doped systems, manifested as dramatically enhanced low-energy extinction coefficient, absorption coefficient, and reflectivity, together with increased static dielectric constant and refractive index due to intraband contributions from p-type doping at the Sn site. SCAPS-1D simulations, conducted for pristine CsSnI 3 under AM1.5G illumination, evaluate three device configurations (e.g., FTO/PCBM/CsSnI 3 /Cu 2 O/Au), achieving power conversion efficiencies up to 27.96% at an optimal absorber thickness of 1100–1200 nm. These results underscore the potential of Al and In doping to enhance CsSnI 3 stability and optoelectronic properties, while the SCAPS-1D analysis provides a robust framework for optimizing pristine CsSnI 3 -based solar cells, paving the way for efficient, eco-friendly photovoltaic technologies.

Research topics

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

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1016/j.sciaf.2026.e03352

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.