About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
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| Symposium
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Ceramics and Ceramic-Based Composites for Nuclear Applications III
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| Presentation Title |
Properties and behaviour of oxide nuclear fuels: Insights from atomic scale modelling |
| Author(s) |
Marjorie Bertolus, Johann Bouchet, Emeric Bourasseau, Luca Messina, Adrien Pivano, Julien Tranchida |
| On-Site Speaker (Planned) |
Marjorie Bertolus |
| Abstract Scope |
Ensuring the safety and efficiency of nuclear reactors relies among others on a thorough understanding of how nuclear fuels behave under a large number of operational conditions. To support this, fuel performance codes, such as the CEA PLEIADES multiphysics platform. Key aspects include knowing accurately the physico-chemical properties of fuel materials and developing behavioural models. These results are obtained using a multiscale modelling strategy beginning at the atomic level and enabling one to generate essential input data for behaviour laws. In this effort, machine learning serves as a valuable complementary tool.
We will present results of our investigations that make use of a combination of electronic structure and interatomic potential simulations to gain deeper insights into the structural, thermal, mechanical and diffusion properties of actinide oxides.
These activities are included in the EERA-JPNM RODEO Pilot Project and in the PUMMA, PATRICIA and OperaHPC projects cofounded by the European Union.
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| Proceedings Inclusion? |
Planned: |
| Keywords |
Modeling and Simulation, Nuclear Materials, Machine Learning |