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Field
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systems of differential equations. The resulting models will be analysed with analytical tools from applied mathematics and numerical studies in the Julia programming language. The successful candidate
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models offer a powerful means to understand stroke mechanisms, predict treatment outcomes, and personalize patient care. By integrating numerical techniques like the finite element method and machine
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for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working prototypes aimed at powering the next generation of electric vehicles and
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and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map
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field, which provides another dimension to model development (Keylock, 2018). Methodology: The project will have three key stages to it: (a) direct numerical simulation of the Navier-Stokes equations
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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will also use finite volume-based numerical simulations and (if desired by the student) mathematical modelling. You will work alongside other researchers within the Fluid Dynamics Research Centre
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, providing crucial validation for the numerical simulations. The ultimate aim is to develop a robust, quantitative model capable of predicting the evolution of energy within gravity currents across a wide
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. Traditional analytical and numerical approaches struggle to capture the nonlinear interactions between the outer steel tube, sandwiched concrete, and inner steel tube, necessitating advanced computational
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exposure and vulnerability to buildings, infrastructure, and people. This exciting PhD project aims to harness the latest developments in high-performance numerical models and data analytics technologies