Tan Le Dinh

The PhD project, which is a collaboration between LRCS (France) and Forschungszentrum Jülich (Germany), targets the development of a computational methodology to predict and optimise the impact of manufacturing parameters on the architectural and electrochemical properties of solid oxide cells for electrolysis production of hydrogen and fuel cells for electricity generation. This methodology will be based on an original coupling of mechanistic multi-scale modelling with machine learning, and using experimental data from a prototyping line. Although the methodology is demonstrated in the PhD thesis for these solid oxide electrochemical devices, it could also find a strong interest in the manufacturing and engineering of composite materials in general.