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Field
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About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat
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help investigate existing techniques (such as spin echo, magnetic guidance, and surface scattering), and develop new methods with a view to study the acceleration due to Earth’s gravity on antimatter
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systems, electron beam position monitors, and X-ray beam diagnostics—act on different aspects of the same underlying accelerator dynamics. These systems are traditionally designed largely independently
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devices (with Prof Michael Fuhrer) d-wave spin splitting in two-dimensional altermagnets Machine-learned Hamiltonians: AI-accelerated electronic structure for 2D materials web page For further details
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of the blood-brain barrier disrupts the glymphatic system. This may accelerate the aggregation of amyloid beta in and around blood vessels, a condition known as cerebral amyloid angiopathy (CAA). Would you like
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, and machine learning to accelerate and improve the design and simulation of camera lenses. Traditional lens design is slow, labour-intensive, and relies on expert-led iterative methods. We propose
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation
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vulnerable to mould growth, which accelerates structural decay, compromises indoor air quality, and poses significant health risks to building occupants. Moisture exposure to outdoor surfaces can also cause
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how weaknesses in one layer can be exploited through another. For example, side-channel leakage from an accelerator can be used to extract neural network parameters. Tasks and responsibilities
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impact through the Healthcare Technologies Institute and the Precision Healthcare Technology Accelerator. The School of Engineering also has an established Medical Engineering research group with links