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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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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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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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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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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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of territories, etc.). Modelling Urban Territorial Transformations of the Baltic Region: A Spatio-Temporal Computational Approach. (What is an Integrating Mathematics, Remote Sensing, and Geo-AI Simulation?) In
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the models developed and identify the main technical obstacles to be overcome for future industrial implementation. 7. Improvement of the internal code for simulating thermodynamic cycles. The existing
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your arrival. The EM2C laboratory is seeking a highly motivated candidate for a PhD in data-driven, physics-informed, and probabilistic modeling of turbulent combustion. The PhD work will combine
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for modelling protein structures and protein-ligand (metabolite) interactions. Using multi-scale molecular models, we aim to predict the structural features of gibberellin (GA) transporters, a key phytohormone
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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