most citedDesign Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

physics.plasm-ph2024★ 1 cited

Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning

Jinsu Kim, Jaemin Seo

This research explores the application of Deep Reinforcement Learning (DRL) to optimize the design of a nuclear fusion reactor. DRL can efficiently address the challenging issues a…

physics.plasm-ph2023★ 1 cited

Enhancing Disruption Prediction through Bayesian Neural Network in KSTAR

Jinsu Kim, Jeongwon Lee, Jaemin Seo +3

Disruption in tokamak plasmas, stemming from various instabilities, poses a critical challenge, resulting in detrimental effects on the associated devices. Consequently, the proact…