AI Predicts Plasma Edge Dynamics for Fusion
Published:Dec 29, 2025 22:19
•1 min read
•ArXiv
Analysis
This paper presents a significant advancement in fusion research by utilizing transformer-based AI models to create a fast and accurate surrogate for computationally expensive plasma edge simulations. This allows for rapid scenario exploration and control-oriented studies, potentially leading to real-time applications in fusion devices. The ability to predict long-horizon dynamics and reproduce key features like high-radiation region movement is crucial for designing plasma-facing components and optimizing fusion reactor performance. The speedup compared to traditional methods is a major advantage.
Key Takeaways
- •Developed transformer-based AI models for predicting plasma edge dynamics.
- •Achieved significant speedup compared to traditional simulation methods.
- •Demonstrated the ability to predict long-horizon dynamics and key features.
- •Enables rapid scenario exploration and control-oriented studies in fusion research.
Reference
“The surrogate is orders of magnitude faster than SOLPS-ITER, enabling rapid parameter exploration.”