Machine Learning Based Screening of Double Perovskites for Photovoltaic 
Applications

Landini, Elisabeth

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学位論文

Machine Learning Based Screening of Double Perovskites for Photovoltaic Applications

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Landini, Elisabeth
Theory, Fritz Haber Institute, Max Planck Society;

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引用

Landini, E. (2023). Machine Learning Based Screening of Double Perovskites for Photovoltaic Applications. PhD Thesis, Technische Universität, München.

引用: https://hdl.handle.net/21.11116/0000-000E-114D-9

要旨

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.