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the simulation results. This work builds on our previous research on crosslinking at the substrate/polymer interface: Suzanne Morsch, Yanwen Liu, Kieran Harris, Flor R. Siperstein, Claudio Di Lullo, Peter Visser
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between gases and polymers. Additionally, electronic structure calculations, though rather accurate, are too resource-intensive for large-scale simulations over extended periods. To address these challenges
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fluids like polymer solutions. Our work includes pioneering particle co-encapsulation, developing rapid rheological measurement devices, and integrating machine learning in droplet microfluidics. Our goal
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This PhD project focuses on computational mechanics. It seeks to advance the development of numerical methods for curing process simulation of fibre-reinforced composite materials, especially
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rehydration (PETR)" mechanism. This bio-inspired approach utilises entangled polymer interfaces to form load-bearing (F=30N), speed-independent (0.1–200mm/s), low-friction (μ<0.01) surfaces that sustain tissue
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the broader Complex Fluid group and focuses on areas of research bringing together complex fluids (e.g., polymer solutions) and microfluidics. For instance, we pioneered the use of polymer solutions to promote
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to their excellent structural performance and relatively low weight. However, their laminated structure results in low fracture toughness and limited impact resistance, influenced by the type of polymer used
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bringing together complex fluids (e.g., polymer solutions) and microfluidics. For instance, we pioneered the use of polymer solutions to promote co-encapsulation of particles above the stochastic limit. We
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various therapeutic properties, though in many cases their mechanism of action is unclear. These polymers can also be formulated into structured fluids, which provide enhanced targeting and retention