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Yong-Su Na
Observed names:
Na, Yong-Su,
Y S Na,
Y-S Na,
Y. S. Na,
Y.-S. Na,
Y.S Na,
Y.S. Na,
Y.–S. Na
show all 8
Institution:
Seoul National University
Observed institutions:
Utah State University,
Seoul National University,
Max Planck Society,
Korea Atomic Energy Research Institute,
Ghent University,
Culham Science Centre,
Max Planck Institute for Plasma Physics,
Korea Basic Science Institute,
ORCID,
United Kingdom Atomic Energy Authority
show all 10
ORCID:
0000-0001-7270-3846
Observed ORCID:
0000-0001-7270-3846
OpenAlex ID:
A5089801298
A sustained high-temperature fusion plasma regime facilitated by fast ions
2022
·
H. Han
, S. J. Park
, et al.
·
Nature
·
130
PDF
Overview of JET results for optimising ITER operation
2022
·
J. Mailloux
, N. Abid
, et al.
·
Nuclear Fusion
·
130
PDF
Steady state advanced scenarios at ASDEX Upgrade
2002
·
A C C Sips
, R Arslanbekov
, et al.
·
Plasma Physics and Controlled Fusion
·
119
The ‘hybrid’ scenario in JET: towards its validation for ITER
2005
·
E Joffrin
, A.C.C Sips
, et al.
·
Nuclear Fusion
·
114
PDF
Feedforward beta control in the KSTAR tokamak by deep reinforcement learning
2021
·
Jaemin Seo
, Y.-S. Na
, et al.
·
Nuclear Fusion
·
64
On hybrid scenarios in KSTAR
2020
·
Yong-Su Na
, Y.H. Lee
, et al.
·
Nuclear Fusion
·
48
PDF
Highest fusion performance without harmful edge energy bursts in tokamak
2024
·
S. K. Kim
, R. Shousha
, et al.
·
Nature Communications
·
40
Efficient ECH-assisted plasma start-up using trapped particle configuration in the versatile experiment spherical torus
2016
·
YoungHwa An
, Jeongwon Lee
, et al.
·
Nuclear Fusion
·
32
PDF
A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors
2024
·
Andrea Murari
, Riccardo Rossi
, et al.
·
Nature Communications
·
29
PDF
Development of an operation trajectory design algorithm for control of multiple 0D parameters using deep reinforcement learning in KSTAR
2022
·
J. Seo
, Y.-S. Na
, et al.
·
Nuclear Fusion
·
29
PDF
Tailoring tokamak error fields to control plasma instabilities and transport
2024
·
SeongMoo Yang
, Jong-Kyu Park
, et al.
·
Nature Communications
·
28
PDF
Fast ion effects on zonal flow generation: A simple model
2023
·
T. S. Hahm
, G. J. Choi
, et al.
·
Physics of Plasmas
·
28
Nonambipolar Transport due to Electrons with 3D Resistive Response in the KSTAR Tokamak
2019
·
S. M. Yang
, J.-K. Park
, et al.
·
Physical Review Letters
·
28
PDF
Evidence of a turbulent ExB mixing avalanche mechanism of gas breakdown in strongly magnetized systems
2018
·
Min-Gu Yoo
, Jeongwon Lee
, et al.
·
Nature Communications
·
28
PDF
Progress of the KSTAR Research Program Exploring the Advanced High Performance and Steady-State Plasma Operations
2018
·
Yeong-Kook Oh
, Siwoo Yoon
, et al.
·
Journal of the Korean Physical Society
·
27
Study on ECH-assisted start-up using trapped particle configuration in KSTAR and application to ITER
2017
·
Jeongwon Lee
, Jayhyun Kim
, et al.
·
Nuclear Fusion
·
25
PDF
Plasma start-up design and first plasma experiment in VEST
2015
·
YoungHwa An
, Jeongwon Lee
, et al.
·
Fusion Engineering and Design
·
25
Transport studies in improved H-mode at ASDEX Upgrade
2006
·
Yong-Su Na
, G.D Conway
, et al.
·
Nuclear Fusion
·
25
PDF
Observation of a new type of self-generated current in magnetized plasmas
2022
·
Yong-Su Na
, Jaemin Seo
, et al.
·
Nature Communications
·
23
PDF
Development of a systematic, self-consistent algorithm for the K-DEMO steady-state operation scenario
2017
·
J.S. Kang
, J.M. Park
, et al.
·
Nuclear Fusion
·
23
PDF
Electron cyclotron heating during ECRH-assisted pre-ionization in a tokamak
2010
·
JaeChun Seol
, B.H. Park
, et al.
·
Nuclear Fusion
·
22
Observation of the intrinsic rotation in KSTAR Ohmic L-mode plasmas
2016
·
D.H. Na
, Yong-Su Na
, et al.
·
Nuclear Fusion
·
21
Newly developed double neural network concept for reliable fast plasma position control
2001
·
Young-Mu Jeon
, Yong-Su Na
, et al.
·
Review of Scientific Instruments
·
21
Simulations of KSTAR high performance steady state operation scenarios
2009
·
Yong-Su Na
, C.E. Kessel
, et al.
·
Nuclear Fusion
·
20
PDF
Optimization of 3D controlled ELM-free state with recovered global confinement for KSTAR with n = 1 resonant magnetic field perturbation
2021
·
S.K. Kim
, R. Shousha
, et al.
·
Nuclear Fusion
·
19
PDF
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Works count:
162
Citation count:
1,595
H-index:
21
I10-index:
43
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