Medium-Frequency Transformers for Fast Rise Time PWM Voltages: Modelling and Design Considerations. - Andrea Cremasco; Mitrofan Curti; Siamak Pourkeivannour; Elena A. Lomonova (EVER, 2021)

Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws through indirect data. - Abhishek Chandra; Mitrofan Curti; Koen Tiels; Elena A. Lomonova; Daniel M. Tartakovsky (SSCI, 2022)

Discovering Sparse Hysteresis Models: A Data-driven Study for Piezoelectric Materials and Perspectives on Magnetic Hysteresis. - Abhishek Chandra; Bram Daniels; Mitrofan Curti; Koen Tiels; Elena A. Lomonova; Daniel M. Tartakovsky (CoRR, 2023)

Neural oscillators for magnetic hysteresis modeling. - Abhishek Chandra; Taniya Kapoor; Bram Daniels; Mitrofan Curti; Koen Tiels; Daniel M. Tartakovsky; Elena A. Lomonova (CoRR, 2023)

Magnetic Hysteresis Modeling with Neural Operators. - Abhishek Chandra; Bram Daniels; Mitrofan Curti; Koen Tiels; Elena A. Lomonova (CoRR, 2024)

Constrained B-Spline Based Everett Map Construction for Modeling Static Hysteresis Behavior. - Bram Daniels; Reza Zeinali; Timo Overboom; Mitrofan Curti; Elena A. Lomonova (CoRR, 2024)

Generalizable models of magnetic hysteresis via physics-aware recurrent neural networks. - Abhishek Chandra; Taniya Kapoor; Bram Daniels; Mitrofan Curti; Koen Tiels; Daniel M. Tartakovsky; Elena A. Lomonova (Comput. Phys. Commun., 2025)

Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems. - Abhishek Chandra; Taniya Kapoor; Mitrofan Curti; Koen Tiels; Elena A. Lomonova (CoRR, 2025)