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input from a parallel international project (in collaboration with Prof. Joni Lakin, Dr. Jonathan Wai, Prof. David Uttal) and industry collaboration via the partnership with GL Assessment (Dr Berny
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decision processes. Use the CARLA simulation platform to generate DCD-style data in high-risk or ambiguous driving scenarios. Build a proof-of-concept verification pipeline that maps DCD outputs
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to their presence during manufacture and storage. The effect of exposing a material to either of these species is likely to affect its onward behaviour, and data on these processes will support predictive modelling
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scintillators are solution-processable at relatively low temperatures and their radioluminescence can be easily tuneable across the visible spectrum by varying the material stoichiometry. The main objectives
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treatment processes through advanced machine learning, validated against physics-based models and experimental data. System Integration: Integrating the DTs into material and energy balance equations
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes