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Multi-fidelity model for describing the thermophysical properties of mixed actinide oxides, nuclear fuel

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Thesis topic details

General information

Organisation

The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.

Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.

The CEA is established in ten centers spread throughout France
  

Reference

SL-DES-24-0058  

Thesis topic details

Category

Condensed Matter Physics, chemistry, nanosciences

Thesis topics

Multi-fidelity model for describing the thermophysical properties of mixed actinide oxides, nuclear fuels for fast neutron reactors

Contract

Thèse

Job description

In the context of the revival of the nuclear industry, the objective of this thesis is to contribute to the R&D (Research and Development) on fast neutron reactors, which offer the possibility of efficiently using mixed oxide (MOx) fuels. This type of fuel indeed allows for a better utilization of nuclear resources and a reduction in high-level nuclear waste. Numerical simulations are an extremely beneficial resource for modeling the thermomechanical and physico-chemical behavior of reactor fuel. Scientific computational tools used to simulate this behavior are based, among other factors, on material property behavior laws derived from experimental measurements that are challenging to obtain at high temperatures, sometimes resulting in a lack of data in important application areas.
The objective of this thesis project is to propose more precise behavior laws using machine learning and a multi-fidelity model. This mathematical model will be developed by combining data from atomic-scale calculations, which can be more easily obtained at high temperatures, and experimental data. This will be a major scientific advancement, as this model will integrate data from different sources for the first time. Thermodynamic properties, especially thermal conductivity and specific heat, will be at the heart of this study. The multi-fidelity model will also guide future experiments to improve these behavior laws by identifying areas where they are less accurate.
The thesis will be conducted within the Department of Fuel Studies (IRESNE-CEA Cadarache Institute), and the candidate will join a team of experts in multiscale material modeling. The work will benefit from several collaborations with experts in applied mathematics. The candidate will use various generic techniques applicable to numerous materials science domains. The research will lead to participation in national and international conferences and the preparation of publications.

University / doctoral school

Physique et Sciences de la Matière (ED352)
Aix-Marseille Université

Thesis topic location

Site

Cadarache

Requester

Position start date

01/10/2024

Person to be contacted by the applicant

Romanova Mariya mariya.romanova@cea.fr
CEA
DES/IRESNE/DEC/SESC/LM2C
Institut de recherche sur les systèmes nucléaires pour la production d’énergie bas carbone (IRESNE)
DES/IRESNE/DEC/SESC/LM2C
Bâtiment 151
13108 Saint-Paul-lez-Durance

Tutor / Responsible thesis director

BOURASSEAU Emeric emeric.bourasseau@cea.fr
CEA
DES/IRESNE/DEC/SESC/LM2C
Institut de recherche sur les systèmes nucléaires pour la production d’énergie bas carbone (IRESNE)
DES/IRESNE/DEC/SESC/LM2C
Bâtiment 151
13108 Saint-Paul-lez-Durance
Tel : 04.42.25.45.84

0442254584

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