| An effective neural network approach to reproduce magnetic hysteresis in electrical steel under arbitrary excitation waveforms SQ Antonio, FR Fulginei, A Laudani, A Faba, E Cardelli Journal of Magnetism and Magnetic Materials 528, 167735, 2021 | 44 | 2021 |
| Computer modeling of nickel–iron alloy in power electronics applications E Cardelli, A Faba, A Laudani, SQ Antonio, FR Fulginei, A Salvini IEEE Transactions on Industrial Electronics 64 (3), 2494-2501, 2016 | 39 | 2016 |
| A moving approach for the Vector Hysteron Model E Cardelli, A Faba, A Laudani, SQ Antonio, FR Fulginei, A Salvini Physica B: Condensed Matter 486, 92-96, 2016 | 36 | 2016 |
| A challenging hysteresis operator for the simulation of Goss-textured magnetic materials E Cardelli, A Faba, A Laudani, M Pompei, SQ Antonio, FR Fulginei, ... Journal of Magnetism and Magnetic Materials 432, 14-23, 2017 | 29 | 2017 |
| Vector hysteresis model identification for iron–silicon thin films from micromagnetic simulations SQ Antonio, A Faba, G Carlotti, E Cardelli Physica B: Condensed Matter 486, 97-100, 2016 | 27 | 2016 |
| Implementation of the single hysteron model in a finite-element scheme E Cardelli, A Faba, A Laudani, GM Lozito, SQ Antonio, FR Fulginei, ... IEEE Transactions on Magnetics 53 (11), 1-4, 2017 | 23 | 2017 |
| Pattern search approach to ferromagnetic material modelling E Cardelli, A Faba, M Pompei, S Quondam Antonio International Journal of Numerical Modelling: Electronic Networks, Devices …, 2019 | 22 | 2019 |
| On the analysis of the dynamic energy losses in NGO electrical steels under non-sinusoidal polarization waveforms SQ Antonio, A Faba, HP Rimal, E Cardelli IEEE Transactions on Magnetics 56 (4), 1-15, 2020 | 17 | 2020 |
| Protection from indirect lightning effects for power converters in avionic environment: Modeling and experimental validation HP Rimal, A Reatti, F Corti, GM Lozito, SQ Antonio, A Faba, E Cardelli IEEE Transactions on Industrial Electronics 68 (9), 7850-7862, 2020 | 12 | 2020 |
| Magnetic losses in Si-Fe alloys for avionic applications SQA E. Cardelli, A. Faba, M. Pompei AIP Advances 7 (5), 2017 | 12 | 2017 |
| Surface testing the crystal grain orientation by lag angle plots E Cardelli, A Faba, A Laudani, SQ Antonio, FR Fulginei, A Salvini IEEE Transactions on Magnetics 53 (6), 1-4, 2017 | 12 | 2017 |
| Numerical simulations of vector hysteresis processes via the Preisach model and the Energy Based Model: An application to Fe-Si laminated alloys SQ Antonio, AM Ghanim, A Faba, A Laudani Journal of Magnetism and Magnetic Materials 539, 168372, 2021 | 9 | 2021 |
| Deep neural networks for the efficient simulation of macro-scale hysteresis processes with generic excitation waveforms S Quondam-Antonio, F Riganti-Fulginei, A Laudani, GM Lozito, R Scorretti Engineering Applications of Artificial Intelligence 121, 105940, 2023 | 8 | 2023 |
| Analytical formulation to estimate the dynamic energy loss in electrical steels: Effectiveness and limitations SQ Antonio, GM LoZito, ARM Ghanim, A Laudani, H Rimal, A Faba, ... Physica B: Condensed Matter 579, 411899, 2020 | 8 | 2020 |
| Modelling of dynamic losses in soft ferrite cores HP Rimal, AM Ghanim, SQ Antonio, GM Lozito, A Faba, E Cardelli Physica B: Condensed Matter 579, 411811, 2020 | 8 | 2020 |
| Optimum identification of iron loss models in NGO electrical steel for power electronics SQ Antonio 2019 IEEE 5th International forum on Research and Technology for Society and …, 2019 | 8 | 2019 |
| Vector hysteresis processes for innovative FE-SI magnetic powder cores: Experiments and neural network modeling S Quondam Antonio, F Riganti Fulginei, A Faba, F Chilosi, E Cardelli Magnetochemistry 7 (2), 18, 2021 | 7 | 2021 |
| Hysteresis modelling in additively manufactured FeSi magnetic components for electrical machines and drives A Faba, FR Fulginei, SQ Antonio, G Stornelli, A Di Schino, E Cardelli IEEE transactions on industrial electronics 71 (3), 2188-2197, 2023 | 5 | 2023 |
| In-plane magnetic anisotropy detection of crystal grain orientation in goss-textured ferromagnets D Candeloro, E Cardelli, A Faba, M Pompei, SQ Antonio IEEE Transactions on Magnetics 53 (11), 1-4, 2017 | 5 | 2017 |
| Neural network modeling of arbitrary hysteresis processes: Application to GO ferromagnetic steel S Quondam Antonio, V Bonaiuto, F Sargeni, A Salvini Magnetochemistry 8 (2), 18, 2022 | 4 | 2022 |
