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Random textured interfaces for efficiency enhancement of perovskite solar cells
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DOI：10.1016/j.rinp.2026.108707.png)
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Abstract
En 中文
As perovskite solar cells approach their theoretical efficiency limits, effective optical management becomes increasingly important for further performance improvement. Although nanostructured and randomly textured interfaces have shown promise, a clear understanding of how specific nanoscale morphologies govern the balance between optical enhancement and electrical penalty remains limited. In this work, we investigate the influence of random interface texturing applied throughout the full device stack on the photovoltaic performance of methylammonium lead iodide (MAPbI3) perovskite solar cells. Using a coupled two-dimensional finite-element opto-electrical model, we compare three representative random morphologies and show that device performance is governed not simply by increased roughness or surface area, but by the trade-off between enhanced useful absorption in the perovskite and transport penalties associated with increased tortuosity. Among the investigated textures, a quasi-sinusoidal morphology provides the most favorable optical–electrical balance, yielding a short-circuit current density of 25.1 mA cm−2 and a power conversion efficiency of 21.38% for a device with a 200 nm absorber layer, corresponding to a 15% increase in Jsc relative to the planar reference. By establishing a quantitative morphology-focused framework based on interface area ratio, aspect ratio, and transport tortuosity, this study provides a practical design principle for engineering buried interfaces in high-efficiency thin-absorber perovskite solar cells without relying on external anti-reflective coatings.
Keywords:
Perovskite solar cell
Random textured interface
Modelling
Efficiency Enhancement
Optical management
Nanostructure
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