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that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
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models offer a powerful means to understand stroke mechanisms, predict treatment outcomes, and personalize patient care. By integrating numerical techniques like the finite element method and machine
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their reliability in predicting long-term material performance. Ultimately, the goal is to provide a computational tool capable of simulating the behaviour of polymeric materials under real-world conditions, helping
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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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complimentary computational studies to predict the intake aerodynamic characteristics and aid in the experiment design. This position is part of the CDT in Net Zero Aviation, which offers a modular, cohort-based
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must have, or be predicted to obtain, a good degree (2.1 or 1st class) in Chemistry, or other relevant scientific discipline (e.g. Materials Science). Candidates with a particular interest in
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industrial settings. From a practical standpoint, new predictive modelling approaches are needed to inform and accelerate industrial process design, as this is an area where much process development occurs
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will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
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for a Condition-based maintenance (CBM) which holds the promise of predicting machinery maintenance requirements based on process performance measurements. Diagnostics and Prognostics are essential
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of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing