Plasma Turbulence

Plasma turbulence, characterized by chaotic fluctuations in plasma density and temperature, is a critical area of research impacting magnetic confinement fusion. Current efforts focus on developing advanced computational models, incorporating machine learning techniques like deep learning and Large Eddy Simulation, to accurately simulate and analyze this complex phenomenon, particularly in the edge plasma region of tokamaks. These models are increasingly validated against experimental data, such as high-speed imaging of turbulent structures ("blobs"), allowing for more precise quantitative comparisons between theory and experiment and improved understanding of energy and particle transport. This improved understanding is crucial for optimizing the performance and stability of fusion reactors.