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with engineering, physics, mathematics, acoustics, fluids, electronics or instrumentation background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience
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. This project seeks to enhance the phase-field method, enabling more accurate predictions of fracture under dynamic conditions. State-of-the-art computational techniques combined with insights from advanced
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or high 2i in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, or Atmospheric Sciences. Knowledge in fluid mechanics, numerical methods and computational modelling
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statistically evolving conditions where mean strain is significant but not excessive.The turbulence cascade dynamics will be analysed using advanced theoretical tools (e.g. Karman-Howard-Monin-Hill equations) and
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research team. Good knowledge and experience in heat and mass transfer is essential and proficiency in the use of Computational Fluid Dynamics will be considered an advantage. The student will benefit from
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balance between accuracy and computational efficiency, while also enabling the modelling of aging effects in polymer systems. Objectives: The primary objective of this project is to develop an advanced MACE
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. This project will develop and apply new computational/analytical tools to guide XFEL experiments for specifically tracking lattice fluctuations and ion dynamics in energy materials (batteries). The project will
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Due to unique properties of supercritical CO2 (sCO2), power generation systems using sCO2 as working fluid have many advantages over their counterparts, such as gas turbines and steam turbine power
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formation. Complementing these experimental efforts, Computational Fluid Dynamics (CFD) simulation will be employed to interpret CRUD build-up measurements, identify key phenomena influencing CRUD deposition
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within the building. Examining inter-zonal thermodynamics and fluid dynamics is essential to develop energy and ventilation strategies that significantly reduce energy demand. We seek to carry out research