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stresses near the surface. Research and development activity is ongoing to apply carburizing to steel grades richer in alloying elements (Mo, V, Cr…), for applications at higher temperature dedicated
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include the development of finite elements methods, as well as inverse design strategies based on deep-learning and Neural Networks approaches. The latter will then bring the project to the experimental
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within the space between the grains). - Simulating mechanical behavior using, e.g., finite element methods. - Measuring mechanical performance at the sample scale. - Investigating mechanical behavior
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modelling with finite element methods of solar cell devices. Knowledge of some or all of the materials involved is an advantage. Specific Requirements Familiarity with SILVACO modelling of multijunction solar
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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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like coding. In this project, Julia and C++ will be utilized. • You have experience in and like implementing Finite Element routines. • You have very good English language skills. German language