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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
We are pleased to announce a self-funded PhD opportunity for Quantitative assessment of damage in composite materials due to high velocity impacts using AI techniques. Composite materials, such as
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composites toward a new generation of smart structures with built-in sensing and intelligence. By integrating optical fibre sensors directly into composite materials and combining them with physics-based
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disciplines of composite mechanics and electrochemistry, presenting compelling technical challenges and offering exciting opportunities to develop and innovate with new materials. These composites will provide
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reduces crack propagation in composites, reduce failure due to delamination and significantly improves fracture toughness [Williams et al, Journal of Materials Science 48, 3, 1005-1013, 2013]. In addition
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of novel materials and composite membranes Design, assembly, and testing of electromembrane cells Investigation of ion separation mechanisms under controlled conditions Contribution to the design of stack
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
of complementary plasma techniques. The work also involves characterization of film composition, structure, and functional properties to support process improvement and a better understanding of material behavior
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We are looking for a highly motivated and enthusiastic doctoral student in the field of synthesis, characterisation and/or modelling of next generation materials for hydrogen storage and compression
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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breakdown as a bulk material limitation, it will develop novel multilayer composite materials with ultra-high dielectric breakdown strength, using the multilayer architecture itself as a new and largely
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electroosmosis with current-induced ion concentration polarisation in composite membranes. The project also integrates data science and material design into a research approach of data-driven membrane discovery