FREN
courbe en fond

Non permanents



Descriptif des activités de recherche

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.

Supervisors: Prof. Dr. Alejandro A. Franco (LRCS, France), Prof. Dr. Olivier Guillon (FZ Jülich, Germany).

Parcours

- Master of Science in Computational Engineering, Ruhr-Universität Bochum, Germany.

- Bachelor of Science in Mathematics, Vietnam National University Ho Chi Minh City - University of Science.


Compétences

Machine Learning, Programming, Multiphysics modelling.

Time-Dependent Deep Learning Manufacturing Process Model for Battery Electrode Microstructure Prediction

Diego E. Galvez-Aranda, Tan Le Dinh, Utkarsh Vijay, Franco M. Zanotto, Alejandro A. Franco

Advanced Energy Materials, 2024

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