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to simulate blood flow, assess haemodynamic performance, and identify the most effective design. Experimental Validation: Validate computational predictions using state-of-the-art Particle Image Velocimetry
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for further improvement in performance, as AMT enables bespoke design to enhance mechanical properties and improve biological outcomes like bone ingrowth. In turn, bone ingrowth is dependent, among other
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the energy efficiency of mechanical systems, advanced control methods are at the heart of these challenges. Effective control mitigates vibrations, boosts performance, enhances energy efficiency, ensures
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proofs, bounds, convergence results) alongside algorithm design and high-performance computation. Biological case studies, such as slime mould experiments, serve as inspiration and as a unique source of
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the development of this technology. In particular, the nonlinear and high-dimensional nature of the plasma dynamics mean that the desired reference state is challenging to compute and the control gains have to
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the energy efficiency of mechanical systems, advanced control methods are at the heart of these challenges. Effective control mitigates vibrations, boosts performance, enhances energy efficiency, ensures
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Organic quantum batteries: the development of high-performance energy storage devices (S3.5-MPS-Lidzey) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students
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, electricity is generated by using the heat from nuclear reactions to produce steam and drive turbines. This is an inefficient process, with up to two-thirds of nuclear heat energy lost during the process of
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computational fluid dynamics and thermodynamics, an understanding of manufacturing considerations, especially safety concerns, process design, and the operation of a range of manufacturing tools and machines
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ACCE+ DLA Programme: Engineering underground ecosystems for sustainable legume production School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Ellie Harrison, Prof