PhD opportunities

New insights in the reduced mobility description for the modeling of grain growth and recrystallization at the polycrystalline scale

Thesis proposal

Area of expertiseMathématiques numériques, Calcul intensif et Données
Doctoral SchoolSFA - Sciences Fondamentales et Appliquées
SupervisorBERNACKI Marc
Co-supervisorBERNACKI Marc
Research unitCentre de Mise en Forme des Matériaux
KeywordsDigital twins, HPC, Computational Metallurgy, Interface networks, Mobility description, Front capturing/tracking algorithms
AbstractOne of the European Union’s objectives in climate change consists
of reaching net-zero greenhouse gas emissions by 2050. Such perspective puts the metallic materials industry, as a large contributor to carbon emissions, under tremendous pressure for change and
requires the existence of robust computational materials strategies to enhance and design, with a very high confidence degree,
new metallic materials technologies with a limited environmental
impact. From a more general perspective, the in-use properties
and durability of metallic materials are strongly related to their
microstructures, which are themselves inherited from the thermomechanical treatments.
ProfileDegree: MSc or MTech in Metallurgy or Applied
Mathematics.
Skills: Numerical Modeling, Metallurgy, programming, proficiency in English, ability
to work within a multi-disciplinary team.
FundingFinancement d'une association ou fondation