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, and cognitive AI — investigating how the internal geometry of neural representations shapes what both brains and deep networks can and cannot do. Recent work has shown that Vision-Language Models (VLMs
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partitions of unity that are unavailable in the analytic setting. We expect to apply these techniques to geometry, quantum mechanics, and other fields in mathematical physics. The project will be supervised by
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-modified boundary conditions. Resolve: Move beyond effective slip-length approximations to fully resolve the micro-scale geometry of engineered surface textures within the LBM framework. Integration with ML
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. First, it will develop high-fidelity CFD models of methane dispersion in representative environments, including idealised test cases and realistic geometries relevant to energy and environmental
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algorithms suitable for multi-static and distributed geometries. Understanding the performance limits of such systems, including sensitivity to synchronisation errors, geometry, transmit time, and partial
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reduce the energy wastage in composites manufacturing. It enables components to be produced quickly without the use of an autoclave. For complex geometries, such as those used in wing spars of considerable
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is small but mighty. Working together with Leonardo UK towards immediate real-world applications in an operational environment, you’ll design and create intricate nanoscale geometries and combine
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high‑fidelity CFD across laminar, transitional, and turbulent regimes, including rotor and near‑wake benchmarks. Demonstrating scalability and generalisation across geometries, inflow conditions, and
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Project Overview Iterative RANS-based CFD design is approaching its practical limits. While high-fidelity simulation remains essential, the repeated geometry-CFD-evaluation loop that dominates
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). The project investigates how machine learning (ML) can be used to enhance the modelling of boundary layers in industrial CFD simulations, where complex geometries and computational constraints limit near-wall