3 papers
cs.LG2026
Cross-Material Magnetic Core Loss Prediction via Operating-Condition Matching and Partial Optimal Transport
Cong Yao, Yu Zheng, Zehao Hou +1
Cross-material magnetic core loss prediction requires adapting to new material responses with limited measurements. Global feature alignment overlooks differences in source and tar…
cs.LG2026
Cross-Material Support Transfer for Core-Loss Prediction Under Waveform Covariate Shift
Cong Yao, Chunye Gong
Power magnetic materials are characterized on the sinusoidal and triangular waveforms that excitation hardware conveniently produces, whereas deployed converters expose cores to tr…
cs.LG2026
CAHR-Net: Condition-Adaptive Hysteresis Reconstruction for Compact and Interpretable Magnetic Core Loss Modeling
Chunye Gong, Cong Yao
Magnetic core loss originates in the hysteresis loop: the energy dissipated per excitation cycle equals the loop area, and frequency, temperature, and waveform shape set the loss b…