Smart growth of thermoelectric oxides by epitaxy assisted with operando monitoring and machine learning

Topic description

CONTEXT AND MOTIVATION

This PhD project will be carried out at the Institut des Nanotechnologies de Lyon (INL) within the “Functional Materials and Nanostructures” team, within the framework of the funded PEPR DIADEM CINEMA project (-). The research focuses on the development of smart growth strategies for functional oxide thin films using molecular beam epitaxy (MBE) combined with in situ monitoring and machine learning approaches. Optimizing the relationship between growth conditions and material properties in functional materials still largely relies on empirical approaches such as trial-and-error or design of experiments. These methods are time and resource consuming and require highly stable processes that are rarely achieved in practice. This project proposes to develop a new methodology for smart growth control applied to p-type BaSnO₃, a wide-bandgap perovskite oxide of growing interest for transparent electronics and thermoelec...