Darmstadt. Parallel-In-Time methods for Uncertainty Quantification in Engineering Applications

Many engineering products are subject to uncertainties in material properties and geometric dimensions, e.g., due to manufacturing. Even small deviations can significantly influence the performance,

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Darmstadt. Scalable Algorithms for 3D Simulation of Electric Machines

Prototyping of electrical machines in 3D is becoming increasingly important. It offers more design options for optimization. It also allows the simulation of more complex

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Darmstadt. Multiphysical simulation of a permanent magnet assembly for magnetocaloric refrigeration

Magnetocaloric cooling is an emerging technology for room temperature refrigeration. It has the potential to surpass the established gas-vapor compression refrigeration system in terms of

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