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Field
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: Developing a system-theoretic framework that models learning as the feedback interconnection between continuous-time circuit dynamics and optimization algorithms. Designing novel energy-based learning
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-lasting batteries. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
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integrates Agent-Based Models, hydrological and flood models. GEB can simulate the dynamics between multiple hazard risk, how these risk impact society, vulnerability of different sectors, and how society can
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collaboration with TBE. Reduced-order and AI-based modelling. Investigate techniques to accelerate reactor simulations for system-level integration and real-time applications. Potential approaches include reduced
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requirements for training data, memory, and computing power while maintaining a high level of accuracy. Particular attention will be paid to the explainability and embedding of the models to facilitate
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wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim is to obtain
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of investigating the relationships between microstructure, processing routes, and thermomechanical performance. The research will combine physics-based modelling and numerical simulations, including thermomechanical
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of engineered underground hydrogen storage in lined rock caverns (LRCs) excavated in hard crystalline rock. Your tasks are to: - develop coupled thermo-hydro-mechanical numerical models to simulate hydrogen
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that harness mechanics and geometry. As a PhD candidate, you will adopt and extend in-house homogenized constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R