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for the project. The research will primarily involve physical modelling of Li-ion batteries through finite element methods. Requirements: PhD degree in chemistry, physics, materials science or engineering, or a
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Electrode Assembly. J. Power Sources 2021, 512, 230431. https://doi.org/10.1016/j.jpowsour.2021.230431. ; [2] Carral, C.; Mélé, P. A Numerical Analysis of PEMFC Stack Assembly through a 3D Finite Element
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mitigation. Advanced simulation frameworks will be developed, combining wave & finite element based methods, multi-scale homogenization, and nonlinear modelling to efficiently investigate and evaluate a wide
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level (neural network models) including plasticity. Electric fields will be estimated based on finite-element method models. The project can be partly adapted to your specific interests and your
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leading group in high-order methods: a class of finite element methods that is now leading the way for future computational fluid dynamics simulations. Specifically, our group develops the Nektar++ spectral
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simulations progress, whilst preserving the geometric representation of the project. You will work within a leading group in high-order methods: a class of finite element methods that is now leading the way
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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advanced modelling approaches—such as finite element analysis —to capture the nonlinear, multi-physics nature of soft materials. By integrating experimental data and validating simulations, your work will
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Element Method. Numerical methods. Ship/rigid body dynamics. Marine wind turbines. Anchoring systems. Professional Experience: Analysis and simulation of Offshore Wind Turbine Platforms: FOWT. Code