Researchers have employed a combination of numerical modeling and machine learning to optimize solar cells based on potassium-silver double halide perovskites (K₂AgSbBr₆). This work focuses on overcoming the limitations of lead-based perovskites, which are highly efficient but toxic, and tin-based ones, which are unstable. Double halide perovskites, such as K₂AgSbBr₆, offer a promising alternative by being less toxic and more stable, although their current efficiency is lower than that of their lead counterparts.

The study utilized SCAPS-1D (Solar Cell Capacitance Simulator) software to simulate the performance of the solar cells. The impact of several critical parameters was investigated, including the thickness of the K₂AgSbBr₆ layer, the defect density at the interface between the perovskite layer and the electron transport layer (ETL), and the dopant concentration in the hole transport layer (HTL) and ETL. The modeling revealed that an optimal perovskite layer thickness, a low interfacial defect density, and appropriate dopant concentrations are crucial for improving efficiency.

Simulation results indicate that, under optimized conditions, K₂AgSbBr₆ solar cells could achieve a theoretical power conversion efficiency (PCE) of up to 23.32%. This value was achieved with a perovskite thickness of 500 nm, an interfacial defect density of 10¹² cm⁻³, and specific dopant concentrations. The use of machine learning complemented the numerical modeling, allowing for rapid identification of the most promising design configurations and understanding complex interactions between different parameters, thereby accelerating the optimization process.

This advance is significant for the development of safer and more sustainable solar cells. Although the 23.32% efficiency does not yet match the records of lead-based perovskites, it demonstrates the potential of lead-free double halide perovskites for future applications. The combined approach of numerical modeling and machine learning provides a robust methodology for the research and development of new photovoltaic materials, paving the way for the manufacture of more efficient and environmentally friendly devices.