Nuclear fusion

“Design and implementation of machine learning-based anomaly detection in the ITER Tokamak Systems Monitor” - Frontiers in Physics
Description of the modular machine-learning anomaly-detection framework developed for ITER’s Tokamak Systems Monitor.
Jun 1, 2026 1 min read Publications
DOI Open access
“Design and implementation of machine learning-based anomaly detection in the ITER Tokamak Systems Monitor” - Frontiers in Physics
Design and implementation of machine learning-based anomaly detection in the ITER Tokamak Systems Monitor
The Tokamak Systems Monitor (TSM) is a software suite under development at ITER that provides operators with an integrated view of the …
Joris Paret, Brian Sammuli, Víctor Costa Pérez, Nathaniel Saura, Laura Hernández Cubo, Daniel Iglesias
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“Machine Learning-Based Anomaly Detection for ITER's Tokamak Systems Monitor: A Gyrotron Case Study” - IEEE Transactions on Plasma Science
Proof of concept for detecting anomalous gyrotron pulses in ITER’s Tokamak Systems Monitor using dimensionality reduction and clustering.
May 8, 2026 1 min read Publications
DOI Open access
“Machine Learning-Based Anomaly Detection for ITER's Tokamak Systems Monitor: A Gyrotron Case Study” - IEEE Transactions on Plasma Science
Machine Learning-Based Anomaly Detection for ITER's Tokamak Systems Monitor: A Gyrotron Case Study
The ITER Tokamak Systems Monitor will provide operators with timely assessments of machine health, component lifetime, and early …
Joris Paret, Daniel Iglesias, Daniel Sabio Ruiz, Dilin Meloni, Andrea Antonione, Ruggero Bertazzoni, Giuseppe Carannante, Martino Ferrari, María Ortiz de Zúñiga, Mario Cavinato, Francisco Sánchez Arcos, Alfredo Portone
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“Preliminary machine learning-based calibration strategy for the ITER Tokamak Systems Monitor” - Fusion Engineering and Design
A machine-learning-based calibration strategy for the ITER Tokamak Systems Monitor, using Bayesian optimization and Gaussian-process regression to efficiently update finite-element models.
Oct 21, 2025 1 min read Publications
DOI Open access
“Preliminary machine learning-based calibration strategy for the ITER Tokamak Systems Monitor” - Fusion Engineering and Design
Preliminary machine learning-based calibration strategy for the ITER Tokamak Systems Monitor
A machine learning-based calibration strategy for the ITER Tokamak Systems Monitor (TSM) is presented, focusing on the optimization of …
Joris Paret, Daniel Iglesias, Hyogeon Bak, Matthew Clough, George Vayakis, Michael Walsh
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