Rossi, R. https://orcid.org/0000-0003-4414-6119
Gelfusa, M. https://orcid.org/0000-0001-5158-7292
Craciunescu, T. https://orcid.org/0000-0002-0012-4260
Wyss, I. https://orcid.org/0000-0001-7625-8401
Vega, J. https://orcid.org/0000-0002-1622-3984
,
Funding for this research was provided by:
EUROfusion (101052200)
Article Title: A hybrid physics/data-driven logic to detect, classify, and predict anomalies and disruptions in tokamak plasmas
Journal Title: Nuclear Fusion
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd on behalf of the IAEA
Publication dates
Date Received: 2023-10-05
Date Accepted: 2024-02-07
Online publication date: 2024-02-27