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.