February 20, 2026

Paper on 3D Field Optimization for Transport and Edge Instability Control on KSTAR Accepted in Nuclear Fusion

Our paper, “An overview of 3D field optimization for control of transport and edge instabilities on KSTAR,” has been accepted for publication in Nuclear Fusion. Led by Joseph A. Snipes and authored by an international team including Jalal Butt, CheolSik Byun, Tyler Cote, Keith Erickson, Heinke Frerichs, Sang-Hee Hahn, Qiming Hu, YoungMu Jeon, Vasilii Khavin, Minseok Kim, SangKyeun Kim, Minwoo Kim, WonHa Ko, Egemen Kolemen, Nils Leuthold, Zhihong Lin, Yueqiang Liu, Nikolas C. Logan, Priyansh Lunia, Dmitri Orlov, Gunyoung Park, Jong-Kyu Park, Carlos Paz-Soldan, Andrew Rothstein, Giwook Shin, Ricardo Shousha, Xuan Sun, Jonathan Van Blarcum, Xishuo Wei, SeongMoo Yang, Yangyang Yu, Chen Zhao, and Ben Zhu, the work reflects a broad collaboration across multiple laboratories and universities centered on the KSTAR tokamak.

The study summarizes recent advances in optimizing applied 3D magnetic fields to control plasma transport and edge instabilities while supporting long-pulse operational scenarios. The work integrates experimental results, predictive modeling, and machine-learning-based adaptive control strategies to optimize resonant magnetic perturbations for ELM suppression, improve fast-ion confinement, and manage divertor heat loads. A multi-machine database analysis further clarifies threshold physics for RMP effectiveness, while surrogate ML models enable real-time optimization of the 3D field spectrum. Together, these results contribute to the development of robust long-pulse operating regimes on KSTAR, including scenarios with the tungsten divertor.

The accepted manuscript is available online at: https://iopscience.iop.org/article/10.1088/1741-4326/ae4887