| 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 | 24 | 2024 |
| 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 | 9 | 2023 |
| Comparison of machine learning systems trained to detect Alfvén eigenmodes using the CO2 interferometer on DIII-D AV Garcia, A Jalalvand, P Steiner, A Rothstein, M Van Zeeland, ... Nuclear Fusion 63 (12), 126039, 2023 | 4 | 2023 |
| Alfvén eigenmode detection using Long-Short Term Memory Networks and CO2 Interferometer data on the DIII-D National Fusion Facility AV Garcia, A Jalalvand, P Steiner, A Rothstein, M Van Zeeland, ... 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 4 | 2023 |
| Towards llms as operational copilots for fusion reactors V Mehta, J Abbate, A Wang, A Rothstein, I Char, J Schneider, E Kolemen, ... NeurIPS 2023 AI for Science Workshop, 2023 | 4 | 2023 |
| Avoiding tokamak tearing instability with artificial intelligence E Kolemen, J Seo, R Conlin, A Rothstein, SK Kim, J Abbate, K Erickson, ... | 3 | 2023 |
| 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 | 1 | 2024 |
| Artificial Intelligence-assisted control of Alfvén Eigenmodes improves plasma stability in the DIII-D tokamak A Garcia, A Jalalvand, A Rothstein, M Van Zeeland, X Du, D Liu, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Preemptive tearing mode suppression using real-time ECH steering machine learning stability predictions on DIII-D A Rothstein, H Farre, R Sonker, SK Kim, A Jalalvand, J Schneider, ... 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 |
| Machine learning control of DIII-D profiles using a linear profile predictor HJ Farre Kaga, J Abbate, K Erickson, A Rothstein, E Kolemen Bulletin of the American Physical Society, 2024 | | 2024 |
| Real-Time Machine-Learning Enabled Emission Front Control at DIII-D N CHEN, A Jalalvand, SK Kim, F Scotti, E Kolemen, A Rothstein Bulletin of the American Physical Society, 2024 | | 2024 |
| Advancements in 3D Edge Long-Pulse Tokamak Scenarios with Instability & Transport Control D Orlov, N Logan, J Snipes, E Kolemen, C Paz-Soldan, Y Liu, H Frerichs, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Initial testing of Alfvén eigenmode feedback control with machine-learning observers on DIII-D A Rothstein, A Jalalvand, J Abbate, K Erickson, E Kolemen Nuclear Fusion 64 (9), 096020, 2024 | | 2024 |
| Identification of Alfvén eigenmodes using recurrent neural networks, a labelled database and CO2 interferometer data on DIII-D A Garcia, A Jalalvand, P Steiner, A Rothstein, M Van Zeeland, ... APS Division of Plasma Physics Meeting Abstracts 2023, NP11. 023, 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 |
| Implementing Data-Driven Models for Real-Time Detection and Control of Alfvén Eigenmodes at DIII-D A Jalalvand, A Rothstein, S Kim, K Erickson, A Garcia, M Austin, ... APS Division of Plasma Physics Meeting Abstracts 2023, JO08. 015, 2023 | | 2023 |
| Multi-Diagnostic Classification of Alfvén Eigenmodes using Multimodal Machine Learning A Rothstein, A Jalalvand, A Garcia, M Austin, W Heidbrink, E Kolemen APS Division of Plasma Physics Meeting Abstracts 2022, PP11. 059, 2022 | | 2022 |
| New Neural Networks for Plasma Profile Prediction A Rothstein, E Kolemen APS Division of Plasma Physics Meeting Abstracts 2021, PP11. 145, 2021 | | 2021 |
