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, this project aims to apply the innovative machine learning MACE framework. MACE allows for more efficient simulations by using machine learning to capture the underlying physics of gas transport, offering a
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and high-incidence operation. Using cutting-edge experimental data and high-fidelity unsteady CFD simulations, your research will enhance the understanding of flow physics, reduce risk in future designs
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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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) approaches, along with Large Eddy Simulation, have demonstrated maturity in the prediction of many buoyancy-driven flows but require extensive validation. Two- and three-dimensional Computational Fluids
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in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
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.), including full fees and bursary. Main Copy (advised structure) Green hydrogen has been presented as an important aspect of the renewable energy future not only to decarbonise many industries including steel
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) simulations towards mapping out the stability and selectivity of LCO structures for a range of conditions. The project will thus deliver fundamental understanding of the mechanisms that affect catalytic
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collected in January 2025 aimed at capturing submesoscale flows and the mixing, stirring and water-mass transformations they generate. This PhD will lead the analysis of physical and biogeochemical data
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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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fluid dynamics (CFD) simulations, Finite Element Analysis, manage and execute the procurement of the build, run the aerothermal testing and process and communicate the results. The skills, qualifications