For high-dimensional parametric problems, data-driven surrogate models can be generated from simulation or experimental data to quickly evaluate quantities of interest, in support of applications such ...
Neural-Enhanced Physics: A New Paradigm for Accurate and Dimension-Aware Magnetic Core Loss Modeling
Abstract: The accurate and dimension-aware modeling of magnetic core loss is fundamentally limited by a trade-off: model-driven approaches are inherently dimension-aware but are often inaccurate; ...
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