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Avoiding fusion plasma tearing instability with deep reinforcement learning

www.nature.com Avoiding fusion plasma tearing instability with deep reinforcement learning - Nature

Artificial intelligence control is used to avoid the emergence of disruptive tearing instabilities in the magnetically confined fusion plasma in the DIII-D tokamak reactor.

Avoiding fusion plasma tearing instability with deep reinforcement learning - Nature
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Non-Trivial AI @mander.xyz DarkNightoftheSoul @mander.xyz
Avoiding Fusion Plasma Tearing Instability with Deep Reinforcement Learning
1 comments
  • As some sources have titled it: "AI fixes fusion!" /s

    On a more serious note, I find it interesting that a 25ms control loop is enough, and that:

    the tearing prediction model could forecast the instability 300 ms before the disruption

    Good model.