▣ Title : Machine learning for nuclear fusion: plasma diagnosis, prediction, and control

▣ Speaker : Prof. Jaemin Seo(Chung-Ang University)

▣ Date & Time : 2026. 3. 12(Thu) 16:30~17:30

▣ Venue : Research Bldg I, #310

▣ Language : English

▣ Abstract :

With the rapidly increasing energy demand in the AI era, the need for a future energy source, especially nuclear fusion technology, is growing. For power generation using nuclear fusion, ultra-high-temperature hydrogen plasma must be maintained stably for extended periods. However, determining the temperature of this plasma (diagnosis), how it changes (prediction), and how to maintain the plasma at a desired state (control) remain active research topics. This talk will introduce my ongoing research utilizing machine learning techniques for plasma diagnosis, prediction, and control. This will cover data-driven time-series prediction using nuclear fusion data, approaches to inverse problems using physics-informed neural networks, and nuclear fusion control and optimization using reinforcement learning.