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simulations, exploring novel aspects of numerical modelling and expanding the computational mechanics capabilities of the group. This project offers the opportunity to join a vibrant research group and
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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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in device behaviour will be explored to minimize false positives Scalability and Real-world Deployment: This research project will address the scalability of the proposed detection system to handle a
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, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools
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PhD Studentship: Improved Heat Transfer Understanding via Conjugate Heat Transfer, Co-Simulation and AI Approaches Research has shown that the development of gas turbines is critical to the success
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nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory
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to extract information about the rotational orientation dependence of the gas-surface reaction, as well as performing numerical simulations to determine how best to perform the measurements to maximise
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of a DG method for solving the hyperbolic BBGK equation has not yet been fully exploited by the rarefied gas dynamics community which continues to rely heavily on the costly direct simulation Monte Carlo
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4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins The ability to simulate initiation and detonation effects within energetic materials is a significant capability gap