2 papers
cs.CE2026
A Structured Neural ODE Approach for Real Time Evaluation of AC Losses in 3D Superconducting Tapes
Riccardo Basei, Francesco Pase, Francesco Lucchini +2
Efficient modeling of High Temperature Superconductors (HTSs) is crucial for real-time quench monitoring; however, full-order electromagnetic simulations remain prohibitively costl…
eess.SY2025
Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation
Mattia Scarpa, Francesco Pase, Ruggero Carli +2
Digital twins for power electronics require accurate power losses whose direct measurements are often impractical or impossible in real-world applications. This paper presents a no…