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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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Sperm elasticity as an index of sub-fertility and as an environmental target. A PhD opportunity is being offered between The Optics and Photonics Research Group at the Faculty of Engineering and the
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Neutron and Muon Source) Project description: Understanding the structure and properties of high-temperature molten materials is of key importance in a diverse range of applications including optical glass