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Abstract:
Materials based on the perovskite crystal structure, thanks to their variety of physical and chemical properties, find many applications in materials science. In this work we adopt Machine Learning methods and electronic structure calculations to study the interplay between composition and properties of double perovskites, with a special focus on photovoltaic applications.
