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나용수 교수

Yong-Su Na

서울대학교 · 물리·천문학

연구실 소개

나용수 교수의 연구실은 fusion 플라즈마의 안정성과 고성능 운용을 위한 핵심 기술을 연구하고 있습니다. 특히 KSTAR 토카막에서의 하이브리드 모드, 개선된 H모드, ECH-유도 플라즈마 시작 기술 등 고성능 플라즈마 제어 기반의 반응로 수준의 운영 조건 달성을 목표로 하며, 실험과 시뮬레이션을 융합한 통합적 플라즈마 분석 체계를 구축하고 있습니다. 특히 플라즈마의 내재적 회전, 기계적 응력, 전자기적 복잡성에 기인한 기체 이온화 메커니즘 등 미세한 플라즈마 동역학의 이해를 심화하고 있습니다.

하이브리드 모드내재적 회전플라즈마 시작 기술고성능 토카막통합 시뮬레이션 시스템

연구 현황

논문 수
157
총 인용 수
1,280
최근 5년 논문
71
주요 분야
물리·천문학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
71총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
503총합
20212022202320242025

주요 논문

15
1
논문|인용수 113·2022
A sustained high-temperature fusion plasma regime facilitated by fast ions
Hyunsun Han, Sangjin Park, C. Sung, Jisung Kang, Y. H. Lee, Jae Hoon Chung, T.S. Hahm, B. Kim, Jong-Kyu Park, J.G. Bak, M. S. Cha, G. J. Choi
SJR Q1FWCI 13.1NatureOA
Nuclear and High Energy PhysicsPhysics and Astronomy
2
논문|인용수 27·2018
Evidence of a turbulent ExB mixing avalanche mechanism of gas breakdown in strongly magnetized systems
Min-Gu Yoo, Jeongwon Lee, Young-Gi Kim, Jayhyun Kim, F. Maviglia, A. C. C. Sips, Hyun-Tae Kim, T.S. Hahm, Yong‐Seok Hwang, Hae June Lee, Yong-Su Na
SJR Q1FWCI 4.9Nature CommunicationsOA

Although gas breakdown phenomena have been intensively studied over 100 years, the breakdown mechanism in a strongly magnetized system, such as tokamak, has been still obscured due to complex electromagnetic topologies. There has been a widespread misconception that the conventional breakdown model of the unmagnetized system can be directly applied to the strongly magnetized system. However, we found clear evidence that existing theories cannot explain the experimental results. Here, we demonstr

Nuclear and High Energy PhysicsPhysics and Astronomy
3
논문|인용수 25·2006
Transport studies in improved H-mode at ASDEX Upgrade
Yong-Su Na, G. D. Conway, O. Gruber, J. Hobirk, M. Maraschek, D. Nishijima, J. Schirmer, A. C. C. Sips, A. Stäbler, G. Tardini, the ASDEX Upgrade Team
SJR Q1FWCI 3.6Nuclear Fusion

High confinement and stability are obtained simultaneously in stationary conditions in improved H-mode discharges at ASDEX Upgrade. The improved H-mode discharges are typically composed of two different phases: 'lower heating phase', where H98(y, 2) is similar to standard H-modes (H98(y, 2) ∼ 1), and 'fully developed improved H-mode phase', where H98(y, 2) is higher than standard H-modes (H98(y, 2) up to 1.4). In this paper, the confinement physics is studied by comparing these two different pha

Nuclear and High Energy PhysicsPhysics and Astronomy
4
논문|인용수 21·2017
Study on ECH-assisted start-up using trapped particle configuration in KSTAR and application to ITER
Jeongwon Lee, Jayhyun Kim, YoungHwa An, Min-Gu Yoo, Y. S. Hwang, Yong-Su Na
SJR Q1FWCI 1.0Nuclear Fusion

ECH-assisted start-up using trapped particle configuration (TPC) is firstly studied in a superconducting, conventional tokamak, KSTAR. First, improved and efficient start-up using TPC than conventional field null configuration (FNC) is achieved by enhanced pre-ionization plasma quality. TPC shows the broader operation window in terms of the poloidal field quality and the deuterium prefill pressure than that of FNC. Surprisingly the particle trapping enhances the plasma start-up performance even

Nuclear and High Energy PhysicsPhysics and Astronomy
5
논문|인용수 21·2016
Observation of the intrinsic rotation in KSTAR Ohmic L-mode plasmas
D.H. Na, Yong-Su Na, S. G. Lee, C. Angioni, S.M. Yang, Heung-Su Kim, T.S. Hahm, W.H. Ko, Hogun Jhang, W.J. Lee
SJR Q1FWCI 4.2Nuclear Fusion

Abstract Two types of experiments were carried out to conduct an intrinsic rotation study in KSTAR. The first was a density ramp-up experiment without neutral beam injection, and the second was an experiment with beam blip technique. In these experiments, some characteristics of the intrinsic rotation were observed in the KSTAR Ohmic L-mode plasmas including: (i) a non-monotonic dependence of the core intrinsic rotation, called U-curve behaviour, with respect to the electron density and the coll

Nuclear and High Energy PhysicsPhysics and Astronomy
6
논문|인용수 21·2022
Observation of a new type of self-generated current in magnetized plasmas
Yong-Su Na, Jaemin Seo, Yoonji Lee, G. J. Choi, Minseo Park, Sangjin Park, Sumin Yi, Weixing Wang, Min-Gu Yoo, Minsoo Cha, Beomsu Kim, Young Ho Lee
SJR Q1FWCI 2.5Nature CommunicationsOA

A tokamak, a torus-shaped nuclear fusion device, needs an electric current in the plasma to produce magnetic field in the poloidal direction for confining fusion plasmas. Plasma current is conventionally generated by electromagnetic induction. However, for a steady-state fusion reactor, minimizing the inductive current is essential to extend the tokamak operating duration. Several non-inductive current drive schemes have been developed for steady-state operations such as radio-frequency waves an

Nuclear and High Energy PhysicsPhysics and Astronomy
7
논문|인용수 19·2009
Simulations of KSTAR high performance steady state operation scenarios
Yong-Su Na, C. Kessel, J.M. Park, Sumin Yi, A. Bécoulet, A. C. C. Sips, J.Y. Kim
SJR Q1FWCI 1.6Nuclear Fusion

We report the results of predictive modelling of high performance steady state operation scenarios in KSTAR. Firstly, the capabilities of steady state operation are investigated with time-dependent simulations using a free-boundary plasma equilibrium evolution code coupled with transport calculations. Secondly, the reproducibility of high performance steady state operation scenarios developed in the DIII-D tokamak, of similar size to that of KSTAR, is investigated using the experimental data tak

Nuclear and High Energy PhysicsPhysics and Astronomy
8
논문|인용수 16·2019
On benchmarking of simulations of particle transport in ITER
Yong-Su Na, F. Koechl, A.R. Polevoi, C.S. Byun, D.H. Na, Jaemin Seo, F. Felici, A. Fukuyama, J. García, N. Hayashi, C. Kessel, T.C. Luce
SJR Q1FWCI 3.1Nuclear FusionOA

We report results of benchmarking of core particle transport simulations by a collection of codes widely used in transport modelling of tokamak plasmas. Our analysis includes formulation of transport equations, difference between electron and ion solvers, comparison of modules of the pellet and edge gas fuelling on the ITER baseline scenario. During the first phase of benchmarking we address the particle transport effects in the stationary phase. Firstly, simulations are performed with identical

Nuclear and High Energy PhysicsPhysics and Astronomy
9
논문|인용수 14·2017
A comprehensive study on rotation reversal in KSTAR: experimental observations and modelling
D.H. Na, Yong-Su Na, C. Angioni, S.M. Yang, J.M. Kwon, Hogun Jhang, Y. Camenen, S.G. Lee, Yuejiang Shi, W.H. Ko, J.A. Lee, T. S. Hahm
SJR Q1FWCI 2.5Nuclear Fusion

International audience

Nuclear and High Energy PhysicsPhysics and Astronomy
10
논문|인용수 13·2017
Development of 2D implicit particle simulation code for ohmic breakdown physics in a tokamak
Min-Gu Yoo, Jeongwon Lee, Young-Gi Kim, Yong-Su Na
SJR Q1FWCI 2.0Computer Physics Communications
Nuclear and High Energy PhysicsPhysics and Astronomy
11
논문|인용수 12·2019
Development of Thomson scattering system on VEST
Young-Gi Kim, Doyeon Kim, Jongha Lee, Min-Gu Yoo, HyunYeong Lee, Seong‐Cheol Kim, Chanyoung Lee, YooSung Kim, Y. S. Hwang, Yong-Su Na
SJR Q1FWCI 3.1Fusion Engineering and DesignOA
Nuclear and High Energy PhysicsPhysics and Astronomy
12
논문|인용수 11·2001
Real-time extraction of plasma equilibrium parameters in KSTAR tokamak using statistical methods
Yong-Su Na, Y.M. Jeon, Sang Hee Hong, Y. S. Hwang
SJR Q2FWCI 1.4Review of Scientific InstrumentsOA

To improve inherent shortcomings of statistical methods and apply them to the extraction of plasma equilibrium parameters in a fast timescale for real-time plasma control, new concepts of statistical methods such as principal component analysis-based neural network (NN), functional parametrization (FP)-based NN and double network are introduced by modifying NN and FP. These new methods are benchmarked and compared with the conventional techniques of NN and FP in a simple single-filament system.

Nuclear and High Energy PhysicsPhysics and Astronomy
13
논문|인용수 11·2023
Effect of coherent edge-localized mode on transition to high-performance hybrid scenarios in KSTAR
Youngho Lee, S.K. Kim, Jaewook Kim, B. Kim, Min‐Sik Park, J.M. Kwon, M. Choi, S.H. Hahn, Myungwon Lee, S.M. Yang, S.C. Hong, Chanyoung Lee
SJR Q1FWCI 2.8Nuclear FusionOA

Abstract This paper deals with one of the origins and trigger mechanisms responsible for the observed performance enhancements in the hybrid scenario experiments conducted in Korea Superconducting Tokamak Advanced Research (KSTAR). The major contribution to the performance improvement comes from a broader and higher pedestal formation. The increase of fast ion pressure due to a plasma density decrease also contributes substantially to the global beta. Although the reduced core plasma volume resu

Nuclear and High Energy PhysicsPhysics and Astronomy
14
논문|인용수 11·2015
Experiment and simulation of tearing mode evolution with electron cyclotron current drive in KSTAR
Kyungjin Kim, Yong-Su Na, Minhwa Kim, Y.M. Jeon, K.D. Lee, J.G. Bak, M. Choi, G.S. Yun, S. G. Lee, Sung Man Park, Junhyung Jeong, L. Terzolo
SJR Q2FWCI 1.6Current Applied Physics
Nuclear and High Energy PhysicsPhysics and Astronomy
15
논문|인용수 11·2015
Numerical study on neoclassical tearing mode stabilization via minimum seeking method for the island width growth rate
Minkyu Kim, Kyungjin Kim, Min-Gu Yoo, Daeyeob Na, T. S. Hahm, Yunji Hwang, Yong-Su Na
SJR Q1FWCI 0.4Nuclear Fusion

We report that the control of the 'island width growth rate', which is defined as dW/dt, is more efficient than that of the 'island width' for neoclassical tearing mode stabilization using the minimum seeking method. A concept of the minimum island width growth rate seeking method is newly proposed for the real-time feedback control of the neoclassical tearing mode by using electron cyclotron current drive. To evaluate the performance of the proposed concept, predictive feedback control simulati

Materials ChemistryMaterials Science

대표 연구 분야

Nuclear and High Energy PhysicsAerospace EngineeringControl and Systems EngineeringMaterials ChemistryElectrical and Electronic EngineeringArtificial Intelligence

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