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of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key goals include optimising convective heat transfer
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@ IDRIS, ADASTRA @ CINES) to carry out numerical simulations. The doctoral student will be registered at the École Doctorale d'Astrophysique d'Île-de-France (ED127) and will have to follow the mandatory
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simulations numériques. Le.la doctorant.e sera inscrit.e à l'École Doctorale d'Astrophysique d'Île-de-France (ED127) et devra suivre les procédures obligatoires prévues de suivi de thèse de cette ED 1 812 / 5
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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property simulations of ammonia–hydrogen mixtures. It will leverage multiphysics Direct Numerical Simulations (DNS) with detailed chemical kinetics and coupled thermal radiation to improve chemical
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of an external magnetic field into the phase-field model and to simulate the microstructural evolution for different cooling rates. - Phase-field modeling of the phase transition in the Fe-Ni alloy. The selected
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numerical simulations using a GRMHD-PIC technique, which allows to track VHE ions on the fly. These simulations will be supplemented by cutting-edge analytical methods for injecting particles onto the grid
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researchers addressing complementary topics and methodology such as Thermodynamic modelling of multi-component planetary degassing/ingassing, Molecular Dynamic simulations of silicate melts, Petrology
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-low levels of power consumption at temperatures as low as 4 K. The design of these circuits is complicated due to the lack of standard design kits for their simulation at these temperatures. Alternative
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hydrogen (H₂), aiming to develop efficient, carbon-free fuel blends for sustainable energy systems. Detailed simulations of these new systems rely on flame properties such as the laminar burning velocity and