Highly Versatile Machine Learning Methods for Predicting Perovskite Properties
Research Background The bandgap is one of the most important fundamental properties of perovskite materials in photovoltaic applications. To obtain the bandgap of unknown materials, it can be estimated through experiments like UV-Vis diffuse reflectance spectroscopy or photoluminescence (PL) and X-ray photoelectron spectroscopy (XPS). These experiments require huge and expensive equipment. Choosing to use DFT … Read more