MagNet: Machine Learning Methods for Magnetic Modeling

Princeton Power Electronics Research Lab
MagNet Logo 
  • MagNet is now hosted by Princeton University at Mag-Net.

  • If you are interested in contributing to MagNet, please check our GitHub repository for the latest update.

Princeton-Dartmouth-Plexim MagNet Project

MagNet is a large-scale dataset designed to enable researchers modeling magnetic core loss using machine learning to accelerate the design process of power electronics. The dataset contains a large amount of voltage and current data of different magnetic components with different shapes of waveforms and different properties measured in the real world. Researchers may use these data as pairs of excitations and responses to build up dynamic magnetic models or calculate the core loss to derive static models. MagNet is continuously being maintained and updated with new data.

MagNet Team Member

MagNet Team 

MagNet Sponsor

MagNet Sponsor