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-focused, will directly support advanced flood risk modelling, hydrological predictions, and adaptation planning. As the student, you will gain expertise in climate extremes, data science, and hydrology
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/10.1021/acs.jpcb.4c01558 ], but they lack accuracy for predictive modelling. Transferable machine learning potentials, like MACE-OFF [https://doi.org/10.1021/jacs.4c07099 ], effectively achieve quantum
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, Nguyean et al. 2022). However, accurately predicting PB performance – particularly complex flow patterns within the structure and resulting inundation – requires advanced modelling techniques. This research
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