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targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
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promise in understanding disease mechanisms and improving clinical decision-making. Recent studies suggest that generative models can uncover latent structures and improve classifier robustness across
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of developing a computational model to simulate hydro-sedimentary dynamics and morphology between restored patches to explore conditions favourable for restoration. Validated with data on vegetation cover and
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-packed arrangements such as face-centred cubic or hexagonal structures. Such morphologies limit the diversity of lattice symmetries and electronic couplings that can be realised in QD solids. This PhD
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will feature use of surfaces with varying morphologies and wettabilities to understand the effect of change. The work will also have the possibility of undertaking complimentary CFD studies to aid in