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., temperature, humidity, collision processes) that influence fragmentation. Develop and validate a numerical model to simulate raindrop-freezing fragmentation and its contribution to secondary ice production
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advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow
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Start date: 1st October 2025 GenAI-Accelerated Kinetic Modelling of Catalytic CO2 Valorisation Applications are invited for an EPSRC-funded project available from October 2025, to work under the
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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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on: 1. Finite Element Simulations & Experimental Data Collection: High-fidelity simulations and scaled prototype testing will generate data on stress distribution, local buckling, and damage evolution. 2
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their behaviour. The simulated data will then be analysed and interpreted within established theoretical frameworks. A key goal is to refine and develop these frameworks into predictive models
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the simulations from across the project, write up a thesis, and engage in knowledge transfer with AWE (e.g. through workshops). You will gain a well-rounded experience of computational materials modelling
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transport properties over time. Simulating these processes is computationally demanding, as it requires large time and length scales, and existing classical models fail to capture the intricate interactions
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effectively and accurately at long range. Research Objectives: Model and simulate the effects of poor weather on high-energy propagation. Analyse frequency and sensing modality impacts on transmission using EO
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energy trading. Through simulation and modelling, this PhD will provide insights into how retail energy markets can transition toward a consumer-centric, low-carbon energy future while maintaining security