| Overview of the SPARC tokamak AJ Creely, MJ Greenwald, SB Ballinger, D Brunner, J Canik, J Doody, ... Journal of Plasma Physics 86 (5), 865860502, 2020 | 345 | 2020 |
| 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 | 100 | 2022 |
| A real-time machine learning-based disruption predictor in DIII-D C Rea, KJ Montes, KG Erickson, RS Granetz, RA Tinguely Nuclear Fusion 59 (9), 096016, 2019 | 100 | 2019 |
| Conceptual design study for heat exhaust management in the ARC fusion pilot plant AQ Kuang, NM Cao, AJ Creely, CA Dennett, J Hecla, B LaBombard, ... Fusion Engineering and Design 137, 221-242, 2018 | 97 | 2018 |
| Disruption prediction investigations using machine learning tools on DIII-D and Alcator C-Mod C Rea, RS Granetz, K Montes, RA Tinguely, N Eidietis, JM Hanson, ... Plasma Physics and Controlled Fusion 60 (8), 084004, 2018 | 96 | 2018 |
| Machine learning for disruption warnings on Alcator C-Mod, DIII-D, and EAST KJ Montes, C Rea, RS Granetz, RA Tinguely, N Eidietis, OM Meneghini, ... Nuclear Fusion 59 (9), 096015, 2019 | 94 | 2019 |
| Overview of the SPARC physics basis towards the exploration of burning-plasma regimes in high-field, compact tokamaks P Rodriguez-Fernandez, AJ Creely, MJ Greenwald, D Brunner, ... Nuclear Fusion 62 (4), 042003, 2022 | 73 | 2022 |
| SOFT: a synthetic synchrotron diagnostic for runaway electrons M Hoppe, O Embréus, RA Tinguely, RS Granetz, A Stahl, T Fülöp Nuclear Fusion 58 (2), 026032, 2018 | 56 | 2018 |
| MHD stability and disruptions in the SPARC tokamak R Sweeney, AJ Creely, J Doody, T Fülöp, DT Garnier, R Granetz, ... Journal of Plasma Physics 86 (5), 865860507, 2020 | 50 | 2020 |
| Hybrid deep-learning architecture for general disruption prediction across multiple tokamaks JX Zhu, C Rea, K Montes, RS Granetz, R Sweeney, RA Tinguely Nuclear Fusion 61 (2), 026007, 2020 | 46 | 2020 |
| Modeling the complete prevention of disruption-generated runaway electron beam formation with a passive 3D coil in SPARC RA Tinguely, VA Izzo, DT Garnier, A Sundström, K Särkimäki, O Embréus, ... Nuclear Fusion 61 (12), 124003, 2021 | 32 | 2021 |
| An application of survival analysis to disruption prediction via Random Forests RA Tinguely, KJ Montes, C Rea, R Sweeney, RS Granetz Plasma Physics and Controlled Fusion 61 (9), 095009, 2019 | 30 | 2019 |
| Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks J Zhu, C Rea, RS Granetz, ES Marmar, KJ Montes, R Sweeney, ... Nuclear Fusion 61 (11), 114005, 2021 | 23 | 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 | 22 | 2022 |
| Spatiotemporal evolution of runaway electrons from synchrotron images in Alcator C-Mod RA Tinguely, RS Granetz, M Hoppe, O Embréus Plasma Physics and Controlled Fusion 60 (12), 124001, 2018 | 22 | 2018 |
| Measurements of runaway electron synchrotron spectra at high magnetic fields in Alcator C-Mod RA Tinguely, RS Granetz, M Hoppe, O Embreus Nuclear Fusion 58 (7), 076019, 2018 | 22 | 2018 |
| Runaway electron deconfinement in SPARC and DIII-D by a passive 3D coil VA Izzo, I Pusztai, K Särkimäki, A Sundström, DT Garnier, D Weisberg, ... Nuclear Fusion 62 (9), 096029, 2022 | 19 | 2022 |
| A semi-supervised machine learning detector for physics events in tokamak discharges KJ Montes, C Rea, RA Tinguely, R Sweeney, J Zhu, RS Granetz Nuclear Fusion 61 (2), 026022, 2021 | 19 | 2021 |
| Physics of Runaway Electrons with shattered pellet injection at JET C Reux, C Paz-Soldan, N Eidietis, M Lehnen, P Aleynikov, S Silburn, ... Plasma Physics and Controlled Fusion 64 (3), 034002, 2022 | 14 | 2022 |
| High-resolution disruption halo current measurements using Langmuir probes in Alcator C-Mod RA Tinguely, RS Granetz, A Berg, AQ Kuang, D Brunner, B LaBombard Nuclear Fusion 58 (1), 016005, 2017 | 13 | 2017 |
Cristina ReaMIT Plasma Science and Fusion Center在 mit.edu 的电子邮件经过验证
