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materials, and lattice fluctuations which drive phase changes in these systems that dictate their durability. One bottleneck however is the complexity of the design and interpretation of XFEL experiments
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PhD Studentship: Rolls-Royce sponsored PhD scholarship – Intelligent Mechatronics and Robotics Systems Engineering Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing
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objective of this research project is to unravel the complex dynamics of iron-dominated, nickel-dominated, and mixed Fe-Ni corrosion products on zircaloy surfaces. By exploring boiling, flow conditions, and
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thermochemistry data might be available for small molecules, the complexity of large chemical reactions means that entropic contributions become even more relevant, particularly for bimolecular reactions
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with analysis to understand complex phenomena in high-speed boundary layers, from transonic up to hypersonic. This is important for next-generation flight vehicles, including atmospheric entry craft
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, thermoplastic films, stainless steel fibers, and nonwoven veils between layers. The primary aim of this PhD is to critically review the current research on fracture properties of composite materials and the
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materials are connected is critical for the development of next generation functional materials. However, modern atomically-resolved imaging techniques only give an integrated snapshot of the structure
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memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital
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The conversion of biomass into value-added platform chemicals can greatly alleviate the reliance on fossil feedstock. Biomass alcohol such as benzyl alcohol is one of the important biomass-derived
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, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where