2 papers
physics.plasm-ph2025
CARONTE: a Physics-Informed Extreme Learning Machine-Based Algorithm for Plasma Boundary Reconstruction in Magnetically Confined Fusion Devices
Federico Fiorenza, Sara Dubbioso, Gianmaria De Tommasi +1
In this work, we propose a novel physics informed neural network based algorithm for real time plasma boundary reconstruction in tokamak devices. The approach is based on a single…
physics.plasm-ph2025
Implementation of an ITER-relevant QP-based Current Limit Avoidance algorithm in the TCV tokamak
D. Frattolillo, A. Mele, C. Galperti +11
The problem of avoiding saturation of the coil currents is critical in large tokamaks with superconducting coils like ITER. Indeed, if the current limits are reached, a loss of con…