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Showing 1–2 of 2 results
Advanced filters: Author: Francesco Carpanese Clear advanced filters

  • A newly designed control architecture uses deep reinforcement learning to learn to command the coils of a tokamak, and successfully stabilizes a wide variety of fusion plasma configurations.

    • Jonas Degrave
    • Federico Felici
    • Martin Riedmiller
    ResearchOpen Access
    Nature
    Volume: 602, P: 414-419

  • Edge-localized plasma modes in a tokamak can damage its innermost wall. Simulations now show that fast ions can modify the spatio-temporal structure of these modes. These effects need to be considered in the optimization of control techniques.

    • J. Dominguez-Palacios
    • S. Futatani
    • M. Zuin
    ResearchOpen Access
    Nature Physics
    Volume: 21, P: 43-51