UF Researchers Use AI to Stabilize Fusion Energy

Researchers at the University of Florida are using machine learning to address instabilities in fusion plasma ^[1]. The team employs the HiPerGator supercomputer to simulate complex events within tokamak reactors ^[1][2]. This technology aims to prevent "off-normal" behaviors that can damage equipment ^[2]. By predicting these instabilities, scientists move closer to achieving sustainable fusion energy ^[1]. The AI algorithms analyze datasets to identify patterns before disruptions occur ^[2]. This milestone highlights the role of high-performance computing in solving energy challenges ^[1][2].