Multiphysics Datasets for the Data-Driven Modeling of Traction Electric Motors

This repository provides three CSV datasets from GalFer Contest, intended for benchmarking surrogate modelling of the multiphysics performance of traction electric motors. Each file contains design variables (inputs) and multiphysics performance quantities (outputs) obtained with the dataset-generation procedure described in:S. Ferrari et al., "A Multiphysics Dataset Generation Procedure for the Data-Driven Modeling of Traction Electric Motors'', IEEE Access, vol. 13, pp. 54534-54546, 2025. DOI: 10.1109/ACCESS.2025.3554147. If you use these datasets, please cite the reference paper and this Zenodo record. Please refer to the "Readme" file for details on the dataset structure.