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Jaemin Seo
Jaemin Seo
Assistant Professor, Chung-Ang University
在 cau.ac.kr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Overview of JET results for optimising ITER operation
J Mailloux, N Abid, K Abraham, P Abreu, O Adabonyan, P Adrich, ...
Nuclear Fusion 62 (4), 042026, 2022
1052022
Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions
S Mazzi, J Garcia, D Zarzoso, YO Kazakov, J Ongena, M Dreval, ...
Nature Physics 18 (7), 776-782, 2022
672022
A sustained high-temperature fusion plasma regime facilitated by fast ions
H Han, SJ Park, C Sung, J Kang, YH Lee, J Chung, TS Hahm, B Kim, ...
Nature 609 (7926), 269-275, 2022
582022
Feedforward beta control in the KSTAR tokamak by deep reinforcement learning
J Seo, YS Na, B Kim, CY Lee, M Park, S Park, Y Lee
Nuclear Fusion 61 (10), 106010, 2021
562021
Disruption prediction with artificial intelligence techniques in tokamak plasmas
J Vega, A Murari, S Dormido-Canto, GA Rattá, M Gelfusa, et al.
Nature Physics 18 (7), 741-750, 2022
442022
Development of an operation trajectory design algorithm for control of multiple 0D parameters using deep reinforcement learning in KSTAR
J Seo, YS Na, B Kim, CY Lee, MS Park, SJ Park, YH Lee
Nuclear Fusion 62 (8), 086049, 2022
312022
Development of integrated suite of codes and its validation on KSTAR
CY Lee, J Seo, SJ Park, JG Lee, SK Kim, B Kim, CS Byun, YS Lee, ...
Nuclear Fusion 61 (9), 096020, 2021
262021
Avoiding fusion plasma tearing instability with deep reinforcement learning
J Seo, SK Kim, A Jalalvand, R Conlin, A Rothstein, J Abbate, K Erickson, ...
Nature 626 (8000), 746-751, 2024
212024
Solving real-world optimization tasks using physics-informed neural computing
J Seo
Scientific Reports 14 (1), 202, 2024
172024
On benchmarking of simulations of particle transport in ITER
YS Na, F Koechl, AR Polevoi, CS Byun, DH Na, J Seo, F Felici, ...
Nuclear Fusion 59 (7), 076026, 2019
162019
Observation of a new type of self-generated current in magnetized plasmas
YS Na, J Seo, Y Lee, G Choi, M Park, S Park, S Yi, W Wang, MG Yoo, ...
Nature Communications 13 (1), 6477, 2022
132022
Parametric study of linear stability of toroidal Alfvén eigenmode in JET and KSTAR
J Seo, J Kim, J Mailloux, RJ Dumont, M Fitzgerald, SE Sharapov, ...
Nuclear Fusion 60 (6), 066008, 2020
102020
Machine learning-based real-time kinetic profile reconstruction in DIII-D
R Shousha, J Seo, K Erickson, A Xing, SK Kim, J Abbate, E Kolemen
Nuclear Fusion 64 (2), 026006, 2024
82024
Multimodal prediction of tearing instabilities in a tokamak
J Seo, R Conlin, A Rothstein, SK Kim, J Abbate, A Jalalvand, E Kolemen
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
82023
Effect of electron cyclotron beam width to neoclassical tearing mode stabilization by minimum seeking control in ITER
M Park, YS Na, J Seo, M Kim, K Kim
Nuclear Fusion 58 (1), 016042, 2017
82017
Ion heating by nonlinear Landau damping of high-n toroidal Alfvén eigenmodes in ITER
J Seo, YS Na, TS Hahm
Nuclear Fusion 61 (9), 096022, 2021
72021
Investigation of performance enhancement by balanced double-null shaping in KSTAR
B Kim, MS Park, YH Lee, SK Kim, CY Lee, SC Hong, J Seo, JG Lee, ...
Nuclear Fusion 63 (12), 126013, 2023
32023
Avoiding tokamak tearing instability with artificial intelligence
E Kolemen, J Seo, R Conlin, A Rothstein, SK Kim, J Abbate, K Erickson, ...
32023
Past rewinding of fluid dynamics from noisy observation via physics-informed neural computing
J Seo
Physical Review E 110 (2), 025302, 2024
22024
Disruption prediction and analysis through multimodal deep learning in KSTAR
J Kim, J Lee, J Seo, Y Lee, YS Na
Fusion Engineering and Design 200, 114204, 2024
22024
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