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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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production and operando characterisation using advanced X-ray characterisation techniques at large-scale research facilities. You will investigate routes of catalyst stabilisation and degradation in liquid
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of practical and scalable approaches to multi-lifecycle design. Possible research directions include: Design for disassembly and reversible connection types Sustainable material technologies for construction
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