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of data-driven turbulence models for multiphase computational fluid dynamics CFD using machine learning. Computational and experimental investigations of contact region behaviour in highly loaded thin-films
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design tool for future cryogenic fuel systems. Having a design tool allows the fluid condition to be predicted and enables fluid temperature and pressure control approaches to be assessed. Computational
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of product design, computation fluid dynamics and laser-material processing is desirable. Experience in using a range of technologies/techniques for material characterisation would be an advantage. Candidates
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of data-driven turbulence models for multiphase computational fluid dynamics CFD using machine learning. Computational and experimental investigations of contact region behaviour in highly loaded thin-films