Author Identifier

Mohammad Nur-E-Alam: https://orcid.org/0000-0003-1969-3348

Document Type

Journal Article

Publication Title

Journal of Optics India

Publisher

Springer

School

School of Science

Funders

Universiti Malaya (UMREG029-2024) / Edith Cowan University

Comments

Yao, B., Hamzah, H. M., Hatta, S. F. B. W. M., Arith, F., Nur-E-Alam, M., & Islam, M. A. (2025). Optimization of inverted perovskite solar cells: Simulation insights into NiO and mixed-cation integration for enhanced efficiency. Journal of Optics. Advance online publication. https://doi.org/10.1007/s12596-025-02786-5

Abstract

Inverted perovskite solar cells are one of the most promising technologies for the next generation of photovoltaics, due to excellent stability and a relatively simple fabrication process. Nevertheless, attaining high efficiency remains a challenge in integrating appropriate materials for HTL and an absorber layer. This work focuses on SCAPS-1D simulations to optimize the design of inverted PSCs using NiO as the HTL and a mixed-cation perovskite, MA₀.₄FA₀.₆PbI₃, as an absorber. By employing a controlled variable method, the thickness of the absorber layer was optimized within the range of 300 nm to 900 nm. The optimal performance was achieved when the absorber layer thickness was 600 nm, and the NiO layer exhibited the best performance at a thickness of 50 nm. Simulation results indicate that, under the condition of a 600 nm absorber layer and a 50 nm NiO hole transport layer, the solar cell can achieve a maximum power conversion efficiency (PCE) of 21.56%, based on reduced defect density and enhanced hole mobility. The study also shows the asymmetric effect of interface defect layers on device performance and points out the critical need for defect density control. These findings provide important insights into the optimization of inverted PSC architectures and offer a pathway toward scalable, high-efficiency photovoltaic technologies.

DOI

10.1007/s12596-025-02786-5

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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Link to publisher version (DOI)

10.1007/s12596-025-02786-5