this post was submitted on 22 Feb 2024
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Scientists at Princeton University have developed an AI model that can predict and prevent plasma instabilities, a major hurdle in achieving practical fusion energy.

Key points:

  • Problem: Plasma escaping containment in donut-shaped tokamak reactors disrupts fusion reactions and damages equipment.
  • Solution: AI model predicts instabilities 300 milliseconds before they happen, allowing for adjustments to keep plasma contained.
  • Significance: This is the first time AI has been used to proactively prevent tearing instabilities in fusion experiments.
  • Future: Researchers hope to refine the model for other reactors and optimize fusion reactions.
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