Subproject P09 is looking for a Ph.D. student to add to their their team.
The connection between the composition and function of complex multi-component oxides is intricate, and our knowledge about it is extremely limited. Current models can at most predict the stability of a stoichiometric composition, a very general structural feature. P09 is working on ML models to predict the structural details that determine the functionality of perovskites.
Currently, a PhD position is available in P09. The project will involve the development of methods for the unbiased exploration of potential energy landscapes. It will be based on machine learning and density functional theory and be aimed at diffusion at interfaces.
If you are interested, please send your applications to Georg Madsen.