Fusion Energy
Fusion energy research aims to harness the power of nuclear fusion for clean and sustainable energy production. Current research heavily utilizes machine learning, particularly deep reinforcement learning, generative AI, and neural ordinary differential equations, to optimize reactor designs, model complex plasma dynamics (including turbulence and disruptions), and accelerate computationally expensive simulations. These advancements are crucial for improving the efficiency, safety, and economic viability of fusion reactors, potentially revolutionizing energy production and impacting various scientific fields through the development of novel AI-driven modeling techniques.
Papers
October 14, 2024
September 12, 2024
September 10, 2024
August 31, 2024
August 26, 2024
August 3, 2024
July 15, 2024
February 14, 2024
January 11, 2024
December 19, 2023
November 24, 2023
October 30, 2023
October 2, 2023
November 16, 2021