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the main supervisor, Dr Bissett - mark.bissett@manchester.ac.uk , to discuss this. Project Overview Carbon nanotubes (CNTs) are critical components in advanced technologies, particularly as conductive
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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advancements and evidence-based policymaking within the aviation and energy sectors. The impacts of aviation arises from both CO2 and non-CO2 emissions, including soot, aerosols, water vapor, nitrogen oxides
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materials. The ability of their subcomponents to undergo large amplitude displacement, such as macrocycle shuttling in a rotaxane, make them ideal structures for mechanical coupling. We are currently
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stresses. Based on the experimental data, a semi-empirical model to be developed to assess insulation degradation and identify failure signatures that can inform future predictive asset management strategies
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produced off-site in parts and later assembled on-site. This project aims to advance 3DP technology by incorporating mobility and autonomy, thereby scaling up the effective workspace to match arbitrary