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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
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in MVDC protection and the technological challenges of using MVDC for power distribution. Developing mathematical and simulation models of relevant study cases for the study of faults in MVDC systems
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. Successful applicants will investigate the relationships between processing, microstructure, and properties of metals through combined macro- and micro-mechanical experimentation and finite-element modelling
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of the fluids under consideration. This will be coupled with the use of in-house models that can be employed to explore and predict the behaviour of newly developed fluids in different components and applications
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constituents; manufacture and characterisation of the structural supercapacitors and batteries; test method development and post-failure analysis of the tested cells and; development of multifunctional modelling