Hasil Pencarian - on behalf of JET contributors

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Perbaiki Hasil
  1. 1
    On the potential of physics-informed neural networks to solve inverse problems in tokamaks

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

    Diterbitkan 2023-01-01
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  2. 2
    A hybrid physics/data-driven logic to detect, classify, and predict anomalies and disruptions in tokamak plasmas

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

    Diterbitkan 2024-01-01
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  3. 3
    A systematic investigation of radiation collapse for disruption avoidance and prevention on JET tokamak

    A systematic investigation of radiation collapse for disruption avoidance and prevention on JET tokamak oleh R. Rossi, M. Gelfusa, T. Craciunescu, L. Spolladore, I. Wyss, E. Peluso, J. Vega, C. F. Maggi, J. Mailloux, M. Maslov, A. Murari, on behalf of JET Contributors

    Diterbitkan 2023-07-01
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