The processed MagNet dataset for magnetic core loss modeling

MagNet is a dataset for core loss modeling, containing records of core losses for various types of materials under different operating conditions. It is frequently used in artificial intelligence-based modeling, effectively promoting the development of the field of electrical power electronics design. The dataset provided here is a processed version of MagNet. It primarily involves operations such as separating different variables, which facilitates subsequent code-based modeling. The variables involved here mainly include material type M, waveform duty cycle D, magnetic flux density B, magnetic field strength H, frequency F, temperature C, and core loss P. Note that to obtain the original MagNet dataset, please visit MagNet (https:\/\/mag-net.princeton.edu).