"AI Breakthrough: Overcoming Fusion Plasma Instability for Near-Unlimited Clean Energy"
Nuclear fusion experiments in tokamaks have achieved significant success, but plasma disruption due to tearing instability remains a critical issue. To address this, researchers have developed an AI-based tearing-avoidance system using deep reinforcement learning (RL) to actively control the beam power and plasma shape in real time, maintaining low tearability and high plasma pressure. Experiments at the DIII-D tokamak demonstrated the system's ability to avoid disruptive tearing instability, showcasing the potential for AI-accelerated real-time instability-avoidance techniques in fusion energy research.
