Takip et
Ricardo Shousha
Ricardo Shousha
Princeton University / PPPL
pppl.gov üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Physics research on the TCV tokamak facility: from conventional to alternative scenarios and beyond
S Coda, M Agostini, R Albanese, S Alberti, E Alessi, S Allan, J Allcock, ...
Nuclear Fusion 59 (11), 112023, 2019
882019
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
612024
DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy
ME Fenstermacher, J Abbate, S Abe, T Abrams, M Adams, B Adamson, ...
Nuclear Fusion 62 (4), 042024, 2022
302022
Time-dependent experimental identification of inter-ELM microtearing modes in the tokamak edge on DIII-D
AO Nelson, FM Laggner, A Diallo, D Smith, ZA Xing, R Shousha, ...
Nuclear Fusion 61 (11), 116038, 2021
232021
Optimization of 3D controlled ELM-free state with recovered global confinement for KSTAR with n= 1 resonant magnetic field perturbation
SK Kim, R Shousha, SH Hahn, AO Nelson, J Wai, SM Yang, JK Park, ...
Nuclear Fusion 62 (2), 026043, 2022
192022
Machine learning-based real-time kinetic profile reconstruction in DIII-D
R Shousha, J Seo, K Erickson, Z Xing, SK Kim, J Abbate, E Kolemen
Nuclear Fusion 64 (2), 026006, 2023
142023
Design and experimental demonstration of feedback adaptive RMP ELM controller toward complete long pulse ELM suppression on KSTAR
R Shousha, SK Kim, KG Erickson, SH Hahn, AO Nelson, SM Yang, ...
Physics of Plasmas 29 (3), 2022
122022
Highest fusion performance without harmful edge energy bursts in tokamak
SK Kim, R Shousha, SM Yang, Q Hu, SH Hahn, A Jalalvand, JK Park, ...
Nature communications 15 (1), 3990, 2024
112024
Integrated RMP-based ELM-crash-control process for plasma performance enhancement during ELM crash suppression in KSTAR
M Kim, G Shin, J Lee, WH Ko, H Han, SH Hahn, SK Kim, SM Yang, ...
Nuclear Fusion 63 (8), 086032, 2023
102023
A general infrastructure for data-driven control design and implementation in tokamaks
J Abbate, R Conlin, R Shousha, K Erickson, E Kolemen
Journal of Plasma Physics 89 (1), 895890102, 2023
102023
Overview of the KSTAR experiments toward fusion reactor
WH Ko, SW Yoon, WC Kim, JG Kwak, KL Park, YU Nam, SJ Wang, ...
Nuclear Fusion 64 (11), 112010, 2024
42024
DIII-D research to provide solutions for ITER and fusion energy
CT Holcomb, J Abbate, A Abe, A Abrams, P Adebayo-Ige, S Agabian, ...
Nuclear Fusion 64 (11), 112003, 2024
32024
Avoiding tokamak tearing instability with artificial intelligence
E Kolemen, J Seo, R Conlin, A Rothstein, SK Kim, J Abbate, K Erickson, ...
32023
Improved real-time equilibrium reconstruction with kinetic constraints on diii-d and nstx-u
R Shousha, J Ferron, Z Xing, A Nelson, K Erickson, E Kolemen
APS Division of Plasma Physics Meeting Abstracts 2022, PP11. 011, 2022
22022
Safe and efficient access to ELM suppression in KSTAR using low-n edge localized RMP
S Yang, JK Park, N Logan, YM Jeon, Q Hu, S Kim, WH Ko, G Park, J Lee, ...
APS Division of Plasma Physics Meeting Abstracts 2022, JO03. 006, 2022
22022
Implementation of a IMM Kalman Filter-based real-time event detector on the TCV tokamak
R Shousha
PhD thesis (Eindhoven University of Technology, Eindhoven, Mar. 2018). https …, 2022
12022
Interpreting AI for Fusion: an application to Plasma Profile Analysis for Tearing Mode Stability
HJ Farre-Kaga, A Rothstein, R Sonker, SK Kim, R Shousha, M Kim, ...
arXiv preprint arXiv:2502.20294, 2025
2025
Achieving ELM-suppressed Operation with the Highest Performance in DIII-D and KSTAR via Adaptive and Machine Learning Controls
SK Kim, R Shousha, SM Yang, Q Hu, S Hahn, A Jalavand, JK Park, ...
Bulletin of the American Physical Society, 2024
2024
Design of a PID controller for the pedestal top electron density at KSTAR
M Kim, SK Kim, K Erickson, A Rothstein, R Shousha, SH Han, J Juhn, ...
Bulletin of the American Physical Society, 2024
2024
Development of Real-time Feedback Control System for LTX-ꞵ
R Shousha, K Erickson, D Boyle, A Maan, C Hansen, S Banerjee, ...
Bulletin of the American Physical Society, 2024
2024
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