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chemistry modelling techniques scientific machine learning high-performance computing molecular design, generative AI, database handling and analysis collaborative, project management, presentation and
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faster patient recovery. In the UK, the number of robotic-assisted procedures has increased by 626% from 2017 to 2024, with over 100,000 procedures performed in 2024 alone, and continued rapid growth is
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-of-the-art simulation algorithms to circumvent the slow dynamics leading to high-quality modelling of currently inaccessible experimental quantities. About HetSys: Harnessing Data, Modelling and Simulation
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technology. Hydrogen fuel cells can produce clean electricity from hydrogen and oxygen, but their performance and cost are limited by platinum-based catalysts. This project will use advanced computational
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manufacturing, residual stress forces hidden within a material can cause serious problems, compromising performance and reliability. Magnetic non-destructive testing (mNDT) experiments involve measuring a
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to enhance performance & longevity; and interplay between degradation modes. Characterization methods will include bespoke microscopy facilities, in-house and Synchrotron & neutron operando studies, and
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inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc furnace (EAF) steelmaking. The research will support the steel industry’s transition to net-zero steel
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manufacturing, yet their performance is fundamentally limited by our inability to precisely control particle alignment and microstructure during fabrication. Existing methods—such as magnetic or electric field
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that is still poorly understood. This project will develop advanced computational models to simulate a new imaging technique called electron ptychography, which can map magnetic fields in 3D at nanometre
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Electronics, will use computational simulations to study how thin films form during flowable chemical vapor deposition (FCVD), a process used to build advanced semiconductor devices. Unlike traditional CVD