Multiphysics Datasets for the Data-Driven Modeling of Traction Electric Motors
Ferrari, SimoneSolimene, LuigiPolytechnic University of TurinTorchio, RiccardoUniversity of PaduaAnerdi, CostanzaPolytechnic University of TurinFreschi, FabioPolytechnic University of TurinGiaccone, LucaPolytechnic University of TurinLorenti, GianmarcoPolytechnic University of TurinLucchini, FrancescoUniversity of PaduaAlotto, PiergiorgioUniversity of PaduaPellegrino, GianmarioPolytechnic University of TurinMaurizio RepettoPolytechnic University of Turin
Zenodo (CERN European Organization for Nuclear Research)repository2025
ABI
Аннотация
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.
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