Proceedings of MATSUS Spring 2025 Conference (MATSUSSpring25)
DOI: https://doi.org/10.29363/nanoge.matsusspring.2025.403
Publication date: 16th December 2024
In the last 10+ years of development, perovskite solar cells have achieved excellent efficiencies and a more gradual improvement in stability. Perovskite materials for photovoltaics are mixed electronic-ionic conductors [1]. It is therefore essential to consider the density and mobility of ionic defects in continuum-level models of perovskite-based devices, including tandem cells. Ionic defects impact both the steady-state and dynamic behaviour of perovskite cells [2] by modulating the electric field and charge carrier recombination rates.
An initial density of ionic defects is formed during cell fabrication; however studies suggest that additional defects can form during operation, under bias and illumination. Accumulation of mobile ion defects at the perovskite/transport layer interfaces results in undesirable degradation and performance loss over a timescale of hundreds of hours [3].
Improved modelling and simulation is required to understand the process of defect generation and quantify its impact on device characteristics over relevant timescales. We extend the charge-transport model that underpins our open-source IonMonger tool [4] and perform simulations to investigate the impact of defect generation and migration on perovskite solar cell performance.
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