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corrosion-fatigue conditions by integrating multiscale physics-based models combined with mesoscale experimental tests. This research will study the effects of corrosion-induced changes in composition
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to understand these dynamics. This project proposes a novel pipeline of ideas to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses
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LC models that will combine the accuracy of molecular models, which contain information about molecular shape and interactions, with the efficiency of continuum theories. We will compare the multiscale
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at Swansea. Methodology An existing computational multiscale modelling framework developed at Swansea University, which incorporates state-of-the-art techniques especially devised to simulate various aspects
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multiscale modelling approaches, including: Development and validation of a detailed phenomenological PAC model for ammonia mixtures Machine learning (ML) models to enhance computational efficiency in plasma
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techniques — as well as theoretical and computational techniques that may include finite element methods, crystal plasticity theory, damage theory, molecular dynamics and advanced multiscale modelling methods
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collaboration with Rolls-Royce, providing a unique chance for candidates to participate in a multiscale investigation of corrosion deposition in high-temperature, high-pressure water for nuclear power plants
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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the Bayesian framework to generate surrogate multiscale models for battery cells able to quantify uncertainties. The new modelling approach will be initially developed and experimentally validated for state