Scientists, including Jaemin Seo, SangKyeun Kim, and Egemen Kolemen, have used artificial intelligence (AI) to control and prevent instability in fusion plasma, a key challenge in fusion energy production. The team used a dynamic model to train AI in automated instability prevention, demonstrating its effectiveness in the DIII-D, the largest magnetic fusion facility in the U.S. This AI controller could help develop stable operational scenarios for future use in ITER, the world's largest science project. The research also highlights the potential of nuclear fusion as a promising energy source for zero-carbon power generation.
↧