DIII D Tokamak

The DIII-D tokamak, a magnetic confinement fusion device, is a subject of intense research aimed at understanding and controlling complex plasma dynamics to achieve sustained fusion reactions. Current research heavily utilizes machine learning, employing neural ordinary differential equations (Neural ODEs), deep recurrent networks, and convolutional neural networks (CNNs) to model plasma behavior, predict disruptions, and optimize control strategies. These advanced modeling techniques are crucial for improving tokamak performance, enhancing disruption avoidance, and ultimately advancing the feasibility of fusion energy as a clean and sustainable power source.