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characterization of defects (e.g., porosity, wrinkles, voids, resin rich regions, blisters) in composite materials. These significantly affects the mechanical performance, durability, and safety of composite
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The composites industry is under increasing pressure to transition towards a truly circular economy. As growing demand continues to widen the supply gap, we must recover untapped value that would
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Funding Source: Warwick Industrial Fellowship (WIF) in partnership with Hydrograph Eligibility: UK only Supervisors: Professor Tony McNally, Dr Fengzai Tang Supporting Company: Hydrograph (see Home - HydroGraph ) Start date: 6th October 2025 Project Description – The aim is to develop a...
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Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
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Research Groups at the Faculty of Engineering, which conduct cutting-edge research into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly
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into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly motivated PhD student to join our interdisciplinary team to help address critical
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About the Project Main description: Fiber-polymer composites are innovative ad sustainable alternative in construction due to their lightweight, excellent fatigue and durability, which are widely
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are promising sustainable alternatives to lithium-ion systems, leveraging abundant, low-cost materials (Na, Fe, Al, biomass-derived carbon). However, a major bottleneck is the instability of the SEI formed during
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can be adjusted upon agreement with the successful candidate). Project Overview The drive for net-zero and sustainable manufacturing is reshaping the future of advanced materials. Traditional composite
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the potential to accelerate materials design and optimization. By leveraging large datasets and complex algorithms, ML models can uncover intricate relationships between composition, processing parameters, and