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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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About the project: Turning Up the Heat: Modelling and Scale-Up of Thermochemical Energy Storage Supervisor: Dr Ferran Brosa Planella, University of Warwick Heating accounts for nearly half of global
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About the project: Extreme Space Weather: Modeling Rare Solar Storms and Their Impacts on Earth Supervisor: Dr Ravindra Desai, University of Warwick Space weather is driven by eruptions of plasma
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About the project: Multi-scale modelling of Thin Film Deposition with Flowable CVD for Next-gen Semiconductors Supervisor: Dr Bora Karasulu, University of Warwick This project, co-funded by Merck
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the University of Warwick. Project outline: Modelling light-driven processes and charge transfer across molecule-metal interfaces is instrumental for the development of next-generation molecular optoelectronic
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) and long-term properties (including creep and fatigue behaviour) will be analysed. Furthermore, the project will develop physics-assisted artificial intelligence (AI) models that integrate experimental
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integrate these insights with high-fidelity, physics-based modelling to identify critical failure precursors. The goal is to propose innovative mitigation strategies – from active gate drive to structural
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real-world AI data center load patterns to identify their distinctive characteristics and assess their impact on power grid dynamic models. Based on this analysis, you will determine conditions that
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a leading cause of maternal and neonatal complications worldwide, yet current diagnostic tools struggle to reliably confirm the disease. This project will use advanced data analysis and modelling
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systems remain too complex for widespread commercial use. This project aims to overcome these barriers by developing a high‑resolution spatial light modulator based on high‑aspect‑ratio silicon pillars