The Role of Machine Learning in Facilitating Fusion Energy Research

Explore the intersection of machine learning and fusion energy research in this 43-minute talk by Dr. Aaro Järvinen from the Finnish Center for Artificial Intelligence FCAI. Discover how ML methods are being applied to tackle the scientific and technological challenges of achieving sustainable fusion performance. Learn about the various applications of machine learning in fusion research, including speeding up plasma turbulence simulations and predicting rare, high-impact events. Gain insights into the potential algorithmic overlaps between fusion energy research and other fields of science or industry. Delve into Dr. Järvinen's expertise as a senior scientist in fusion energy research and his focus on Bayesian methods and representation learning algorithms for fusion reactor scenario predictions. Understand the role of ML and high-performance computing in accelerating progress towards clean and abundant fusion energy.