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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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matrix could better resist to fire than the ordinary concretes [9,10], however no numerical simulation has been carried out to confirm. Description of the work: The PhD thesis includes two phases
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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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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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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 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
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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