Utilizing machine learning to enhance performance of thin-film solar cells based on Sb(S Se ): investigating the influence of material properties.

Antimony chalcogenides (Sb(S Se )) have drawn attention as a potential semiconducting substance for heterojunction photovoltaic (PV) devices due to the remarkable optoelectronic properties and wide range of bandgaps spanning from 1.1 to 1.7 eV.