2 results for "Backmeyer, Merle"
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Learning electromagnetic fields based on finite element basis functions
Parametric surrogate models of electric machines are widely used for efficient design optimization and operational monitoring. Addressing geometry variations, spline-based computer-aided design representations play a pivotal role. In this study, we propose a novel approach that combines…
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Preprint Full text
Gradient-Informed Machine Learning in Electromagnetics
Simulation techniques such as the finite element method are essential for designing electrical devices, but their computational cost can be prohibitive for repeated or real-time computations. Projection-based model order reduction techniques mitigate this by reducing the model size and complexity…