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Vers un cadre efficace de plasticité cristalline dans le contexte de la recristallisation dynamique // Towards an efficient crystal plasticity framework in context of dynamic recrystallization

ABG-139470
ADUM-74937
Sujet de Thèse
09/06/2026
Mines Paris-PSL
Sophia Antipolis - Ile-de-France - France
Vers un cadre efficace de plasticité cristalline dans le contexte de la recristallisation dynamique // Towards an efficient crystal plasticity framework in context of dynamic recrystallization
  • Physique
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Digital twins, HPC, Computational Metallurgy, Recrystallization, Crystal Plasticity, Front tracking and front capturing approaches

Description du sujet

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One 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. Hence, understanding and predicting microstructure evolutions is nowadays a key to the competitiveness of industrial companies, with direct economic and societal benefits in all major economic sectors (aerospace, nuclear, renewable energy, naval, defence, and automotive industry).
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Début de la thèse : 01/10/2026
WEB : https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/04/Open_Position_PhD_CP.pdf

Nature du financement

Précisions sur le financement

Partenariat d'entreprises ou d'associations

Présentation établissement et labo d'accueil

Mines Paris-PSL

Etablissement délivrant le doctorat

Mines Paris-PSL

Ecole doctorale

364 SFA - Sciences Fondamentales et Appliquées

Profil du candidat

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Degree: MSc or MTech in Metallurgy or Applied Mathematics, with excellent academic record. Skills: Numerical Modeling, Metallurgy, proficiency in English, ability to work within a multi-disciplinary team.
31/07/2026
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