| 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 | 76 | 2019 |
| 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 | 21 | 2021 |
| 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 | 19 | 2022 |
| 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 | 11 | 2022 |
| 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 | 7 | 2022 |
| 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 | 4 | 2023 |
| 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 | 4 | 2023 |
| 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 | 2 | 2024 |
| Avoiding tokamak tearing instability with artificial intelligence E Kolemen, J Seo, R Conlin, A Rothstein, SK Kim, J Abbate, K Erickson, ... | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Overview of the KSTAR experiments toward fusion reactor WH Ko, SW Yoon, WC Kim, JG Kwak, K Park, YU Nam, S Wang, J Chung, ... Nuclear Fusion, 2024 | | 2024 |
| Corrigendum: Integrated RMP-based ELM-crash-control process for plasma performance enhancement during ELM crash suppression in KSTAR (2023 Nucl. Fusion 63 086032) M Kim, G Shin, J Lee, WH Ko, H Han, SH Hahn, SK Kim, SM Yang, ... Nuclear Fusion 63 (12), 129501, 2023 | | 2023 |
| Real-time kinetic profile reconstruction and Adaptive ELM Control on the DIII-D and KSTAR Tokamaks R Shousha Princeton University, 2023 | | 2023 |
| Integrated process for enhancing the normalized beta during n= 1 RMP-driven ELM-crash-suppression phase in KSTAR M Kim, J Lee, G Shin, H Han, SH Hahn, WH Ko, HS Kim, JW Juhn, G Park, ... APS Division of Plasma Physics Meeting Abstracts 2023, GO06. 003, 2023 | | 2023 |
| Real-time Equilibrium Reconstruction Using Machine Learning That Is Robust Against Diagnostics Failures E Kolemen, R Shousha, J Wai, J Seo APS Division of Plasma Physics Meeting Abstracts 2023, JO09. 010, 2023 | | 2023 |
| Overview of KSTAR Experimental Research towards Future Fusion Reactors WH Ko, SW Yoon, WC Kim, JG Kwak, KL Park, YU Nam, SJ Wang, ... APS Division of Plasma Physics Meeting Abstracts 2023, GO06. 001, 2023 | | 2023 |
| Tearing mode avoidance using reinforcement learning and classical delta prime stability analysis on DIII-D A Rothstein, J Seo, R Shousha, A Jalalvand, S Kim, R Conlin, E Kolemen, ... APS Division of Plasma Physics Meeting Abstracts 2023, UP11. 102, 2023 | | 2023 |
Egemen KolemenPrinceton UniversityVerified email at princeton.edu
