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Showing 1 to 4 of 4 for “"disruption prediction"”.

  1. Disruption prediction at JET [Joint European Torus]

    … of the plasma magnetic confinement, known as disruption, is one of the major issue in a nuclear fusion machine as JET (Joint European Torus), Disruptions pose very serious problems to the safety of the machine. The energy stored in the plasma is released to the machine structure in few …

    aston Repository record for Disruption prediction at JET [Joint European Torus] (opens in a new tab)

  2. Manifold learning techniques and statistical approaches applied to the disruption prediction in tokamaks

    … magnetic confinement; this phenomenon is called disruption. Disruptions are dangerous and irreversible events for the device during which the plasma energy is suddenly released on the first wall components and vacuum vessel causing runaway electrons, large mechanical forces and intense thermal …

    cagliari Repository record for Manifold learning techniques and statistical approaches applied to the disruption prediction in tokamaks (opens in a new tab)

  3. Data-driven study of major disruption prediction and plasma instabilities across multiple tokamaks

    … way, scientists need to learn to avoid plasma disruptions: these sudden and unexpected plasma terminations still represent one of the key challenges for tokamak devices. Forecasting plasma instabilities and disruptions using first-principle models has been demonstrated to be extremely …

    mit Repository record for Data-driven study of major disruption prediction and plasma instabilities across multiple tokamaks (opens in a new tab)

  4. Interpretable Machine Learning for Prediction and Avoidance of Disruptions in Tokamak Plasmas

    … terminated due to off-normal events called disruptions, which are characterized by successive thermal and current quench events that deplete the stored thermal and magnetic energy. In addition to the costs of disruptions due to loss of confinement and operation, their corresponding thermal, …

    mit Repository record for Interpretable Machine Learning for Prediction and Avoidance of Disruptions in Tokamak Plasmas (opens in a new tab)