A5008390047- Magnetic confinement fusion research
- Superconducting Materials and Applications
- Ionosphere and magnetosphere dynamics
- Anomaly Detection Techniques and Applications
- Fusion materials and technologies
- Machine Learning in Healthcare
- Laser-Plasma Interactions and Diagnostics
- Particle accelerators and beam dynamics
- Explainable Artificial Intelligence (XAI)
- Solar and Space Plasma Dynamics
Institute for the Science and Technology of Plasmas
2024-2025
University of Milano-Bicocca
2020-2024
Abstract In 2021 JET exploited its unique capabilities to operate with T and D–T fuel an ITER-like Be/W wall (JET-ILW). This second major campaign (DTE2), after DTE1 in 1997, represented the culmination of a series enhancements—new fusion diagnostics, new injection capabilities, refurbishment plant, increased auxiliary heating, in-vessel calibration 14 MeV neutron yield monitors—as well as significant advances plasma theory modelling community. DTE2 was complemented by sequence isotope...
The problem of the trigger neoclassical tearing mode is addressed in this work by evaluating non-linear terms generalized Rutherford equation (GRE) for a set JET disruptions. linear stability index Δ′0, even positive values, not enough to describe as stabilizing effects tend prevent growth below certain width. First, an analysis on contribution effect curvature and destabilizing bootstrap done. Second, focuses role ion polarization current, return current that flows parallel magnetic field...
Introduction: This work explores the use of eXplainable artificial intelligence (XAI) to analyze a convolutional neural network (CNN) trained for disruption prediction in tokamak devices and fed with inputs composed different physical quantities. Methods: focuses on reduced dataset containing disruptions that follow patterns which are distinguishable based their impact electron temperature profile. Our objective is demonstrate CNN, without explicit training these specific mechanisms, has...
In tokamak operation, the control of dangerous MHD instabilities, possibly in real-time scenarios, must rely on prompt robust diagnostics state and stability system. The set magnetic signals measured outside plasma boundary, based Zakharov-Shafranov, Shkarowsky, Wootton (ZSSW) current moments, has been always used for reliable monitoring key characteristics instantaneous equilibrium condition, such as quantities ASh, Shafranov centroid shift, β <sub...