Skip to main navigation Skip to search Skip to main content

Disruption prediction with artificial intelligence techniques in tokamak plasmas

  • JET Contributors
  • CIEMAT
  • University of Padua
  • National Distance Education University
  • University of Rome Tor Vergata
  • United Kingdom Atomic Energy Authority
  • University of Lisbon
  • National Centre for Nuclear Research
  • RAS - Ioffe Physico Technical Institute
  • University of Helsinki
  • VTT Technical Research Centre of Finland Ltd.
  • National Institutes for Quantum Science and Technology
  • Consorzio CREATE
  • Demokritos National Centre for Scientific Research
  • Russian Research Centre Kurchatov Institute
  • National Research Council of Italy
  • ITER
  • Troitsk Institute for Innovation and Fusion Research
  • Uppsala University
  • Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile
  • Max Planck Institute for Plasma Physics
  • National Institutes of Natural Sciences - National Institute for Fusion Science
  • Jülich Research Centre
  • Massachusetts Institute of Technology
  • Technical University of Madrid
  • Centre for Energy Research
  • University of Latvia
  • University of Cagliari
  • National Technical University of Athens
  • Commissariat à l’énergie atomique et aux énergies alternatives
  • Royal Military Academy
  • University of Catania
  • Oak Ridge National Laboratory
  • Culham Science Centre
  • Karlsruhe Institute of Technology
  • General Atomics
  • University of Basel
  • KTH Royal Institute of Technology
  • UMR 7198
  • Maritime University Of Szczecin
  • Institute of Nuclear Physics PAN
  • Czech Academy of Sciences
  • Swiss Federal Institute of Technology Lausanne
  • University of Wisconsin-Madison
  • Lviv Polytechnic National University
  • Princeton Plasma Physics Laboratory
  • UMR 7351
  • Ruder Boskovic Institute
  • The National Institute for Optoelectronics
  • Fourth State Research
  • University of Texas at Austin
  • Tuscia University
  • Universidade de São Paulo
  • University of Milan - Bicocca
  • University of Warwick
  • Andrzej Soltan Institute for Nuclear Studies
  • Aalto University
  • Dutch Institute for Fundamental Energy Research
  • Warsaw University of Technology
  • Queen's University Belfast
  • National Institute for Laser, Plasma and Radiation Physics
  • Ghent University
  • Jožef Stefan Institute
  • The National Institute for Cryogenics and Isotopic Technology
  • Dublin City University
  • University of California at San Diego
  • EUROfusion Programme Management Unit
  • NASU - Kharkov Institute of Physics and Technology
  • University of York
  • Chalmers University of Technology
  • European Commission
  • University of Tennessee, Knoxville
  • Polytechnic University of Catalonia
  • Barcelona Supercomputing Center (BSC)
  • University of Seville
  • Aix-Marseille Université
  • University of Rome La Sapienza
  • Physique des Interactions Ioniques et Moléculaires
  • NASU - Institute of Nuclear Research
  • Belgian Nuclear Research Center
  • University of Toyama
  • University of California at Irvine
  • Technical University of Denmark
  • Institution “Project Center ITER”
  • Comenius University
  • University College Cork
  • PELIN LLC
  • University of Opole
  • Daegu University
  • Seoul National University
  • Fusion for Energy
  • Arizona State University
  • Polytechnic University of Turin
  • Complutense University
  • Eindhoven University of Technology
  • Purdue University
  • Shimane University
  • Czech Technical University in Prague
  • College of William and Mary
  • University of California
  • University of Strathclyde
  • Kindai University
  • Shizuoka University
  • University of Oxford
  • Columbia University
  • University of Ioannina
  • University of Porto
  • The University of Tokyo
  • TU Wien
  • Lithuanian Energy Institute
  • HRS Fusion
  • Ibaraki University

Research output: Contribution to journalArticlepeer-review

87 Scopus citations

Fingerprint

Dive into the research topics of 'Disruption prediction with artificial intelligence techniques in tokamak plasmas'. Together they form a unique fingerprint.
Sort by

Keyphrases

Physics