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  1. 1

    Dynamic error fields derivation by inverting a validated interpretative perturbations model by G. Miron, F. Rimini, JET Contributors

    Published in Nuclear Fusion (2023-01-01)
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  2. 2

    Performance Enhancement of the Polarimetric Fibre Optical Current Sensor at JET Using Polarisation Optimisation by Andrei Gusarov, Perry Beaumont, Paula Siren, JET Contributors

    Published in Sensors (2024-01-01)
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    Article


  3. 3

    On the potential of physics-informed neural networks to solve inverse problems in tokamaks by Riccardo Rossi, Michela Gelfusa, Andrea Murari, on behalf of JET contributors

    Published in Nuclear Fusion (2023-01-01)
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    Article


  4. 4

    Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics by Teddy Craciunescu, Andrea Murari, Ernesto Lerche, Michela Gelfusa, JET Contributors

    Published in Entropy (2020-07-01)
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    Article


  5. 5

    Composition of electron temperature gradient driven plasma turbulence in JET-ILW tokamak plasmas by B. Chapman-Oplopoiou, J. Walker, D. R. Hatch, T. Görler, JET contributors

    Published in Physical Review Research (2025-01-01)
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  6. 6

    Investigating pedestal dependencies at JET using an interpretable neural network architecture by A. Gillgren, A. Ludvig-Osipov, D. Yadykin, P. Strand, JET contributors

    Published in Nuclear Fusion (2025-01-01)
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  7. 7

    A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors by Andrea Murari, Riccardo Rossi, Teddy Craciunescu, Jesús Vega, JET Contributors, Michela Gelfusa

    Published in Nature Communications (2024-03-01)
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  8. 8

    On the origin of the plasma current spike during a tokamak disruption and its relation with magnetic stochasticity by E. Nardon, K. Särkimäki, F.J. Artola, S. Sadouni, the JOREK team, JET Contributors

    Published in Nuclear Fusion (2023-01-01)
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    Article


  9. 9

    Investigating the Physics of Tokamak Global Stability with Interpretable Machine Learning Tools by Andrea Murari, Emmanuele Peluso, Michele Lungaroni, Riccardo Rossi, Michela Gelfusa, JET Contributors

    Published in Applied Sciences (2020-09-01)
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    Article


  10. 10

    Distributed Poloidal Magnetic Field Measurement in Tokamaks Using Polarization-Sensitive Reflectometric Fiber Optic Sensor by Prasad Dandu, Andrei Gusarov, Willem Leysen, Perry Beaumont, Marc Wuilpart, JET Contributors

    Published in Sensors (2023-06-01)
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    Article


  11. 11

    Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time by J. Vega, S. Dormido-Canto, R. Castro, J.D. Fernández, A. Murari, JET Contributors

    Published in Nuclear Fusion (2024-01-01)
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  12. 12

    A self-organised partition of the high dimensional plasma parameter space for plasma disruption prediction by Enrico Aymerich, Alessandra Fanni, Fabio Pisano, Giuliana Sias, Barbara Cannas, JET Contributors, WPTE Team

    Published in Nuclear Fusion (2024-01-01)
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    Article


  13. 13

    A hybrid physics/data-driven logic to detect, classify, and predict anomalies and disruptions in tokamak plasmas by R. Rossi, M. Gelfusa, T. Craciunescu, I. Wyss, J. Vega, A. Murari on behalf of JET Contributors

    Published in Nuclear Fusion (2024-01-01)
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    Article


  14. 14

    On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals by Andrea Murari, Michele Lungaroni, Emmanuele Peluso, Pasquale Gaudio, Ernesto Lerche, Luca Garzotti, Michela Gelfusa, JET Contributors

    Published in Entropy (2018-08-01)
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    Article


  15. 15

    EDGE2D-EIRENE simulations of the impact of poloidal flux expansion on the radiative divertor performance in JET by B. Viola, G. Calabró, A.E. Jaervinen, I. Lupelli, F. Maviglia, S. Wiesen, M. Wischmeier, JET Contributors

    Published in Nuclear Materials and Energy (2017-08-01)
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    Article


  16. 16

    Acceleration of an Algorithm Based on the Maximum Likelihood Bolometric Tomography for the Determination of Uncertainties in the Radiation Emission on JET Using Heterogeneous Platf... by Mariano Ruiz, Julián Nieto, Víctor Costa, Teddy Craciunescu, Emmanuele Peluso, Jesús Vega, Andrea Murari, JET Contributors

    Published in Applied Sciences (2022-07-01)
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    Article


  17. 17

    Observation of modes in the sub-cyclotronic range of frequencies in JET by F. Nabais, D. Borba, R. Coelho, J. Ferreira, A. Figueiredo, P. Rodrigues, S.E. Sharapov, JET Contributors

    Published in Nuclear Fusion (2024-01-01)
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  18. 18

    Integrated modelling of neon impact on JET H-mode core plasmas by M. Marin, J. Citrin, C. Giroud, C. Bourdelle, Y. Camenen, L. Garzotti, A. Ho, M. Sertoli, JET Contributors

    Published in Nuclear Fusion (2022-01-01)
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  19. 19

    3D MHD modelling of plasmoid drift following massive material injection in a tokamak by M. Kong, E. Nardon, D. Bonfiglio, M. Hoelzl, D. Hu, the JOREK Team, JET Contributors, the EUROfusion Tokamak Exploitation Team

    Published in Nuclear Fusion (2024-01-01)
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    Article


  20. 20

    Performance Comparison of Machine Learning Disruption Predictors at JET by Enrico Aymerich, Barbara Cannas, Fabio Pisano, Giuliana Sias, Carlo Sozzi, Chris Stuart, Pedro Carvalho, Alessandra Fanni, the JET Contributors

    Published in Applied Sciences (2023-02-01)
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    Article


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