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Thesis

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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Citation

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


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