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programme aims to advance fundamental understanding of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key
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mostly focus on the WP1 of the MULTI-STEP project lying on atomic scale simulations. The main objective of this WP is to provide deviatoric stress-dependant phase diagram for both titanium and silica. In
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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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to inform and enhance reactive flow simulators, ultimately contributing to a better understanding of the impacts of dissolved CO2 on fluid flow dynamics and rock reactivity at larger scales within
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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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the results of numerical simulations (ideliazed and in a cosmological context) with analytical models that they will develop, in order to understand the detailed physics of bar formation and evolution in
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 17 days ago
well as automated error control and related CPU time savings in flow simulations is nowadays well established. There is however an essential element which must absolutely be taken into account to tap
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will be modelled by analytical and numerical approaches. Existing analytical approaches will be used as a tool to describe the behaviour of fire exposed TRC in tension, while numerical simulations will
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methodology such as Thermodynamic modelling of multi-component planetary degassing/ingassing, Molecular Dynamic simulations of silicate melts, Petrology of melting of exoplanetary mantles, and the partitioning
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the dynamic rate of mass transfer across the interface. This project primarily consists of theoretical modeling and numerical simulations. However, a strong coupling will be maintained with