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Cross-Material Magnetic Core Loss Prediction via Operating-Condition Matching and Partial Optimal Transport
Cross-material magnetic core loss prediction requires adapting to new material responses with limited measurements. Global feature alignment overlooks differences in source and target excitation coverage. This motivates selecting comparable samples and controlling each source measurement's alignment
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