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to enhance the UK’s energy system resilience through a whole-system analysis approach. Building on the proven WeSIM model, RENEW will upgrade its capabilities to incorporate electrified district heating and
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-frequency Joule losses. Litz wire is one of the most promising solutions due to its exceptional ability to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully
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model (NAME; Numerical Atmospheric dispersion Modelling Environment), which tracks particles from their source through their motion in the atmosphere. NAME has been extensively used for Earth, in
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the development of new tools for coupled oscillator theory in time-delayed systems of differential equations. The resulting models will be analysed with analytical tools from applied mathematics and numerical
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environments, such as slow strain rate tests (SSRT) and permeation experiments. Develop and validate a numerical model for simulating hydrogen diffusion as a function of the additively manufactured
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to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers
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and high-temperature conditions relevant to AGS. Developing high-fidelity direct numerical simulation (DNS) models to map flow regimes and explore buoyancy-driven flow transitions. Improving
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require new insights into the physics at play, informing and enhancing models describing industrial and environmental flows. This will enable higher quality prediction, and for hazardous currents will
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will lead the development of novel motor topologies optimised for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working
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networks by analyzing their dynamical systems and probabilistic asymptotic behavior, improving and generalizing diffusion-based generative AI using insights from numerical and stochastic analysis, and making