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Cristina Rea
Cristina Rea
MIT Plasma Science and Fusion Center
Verified email at mit.edu
Title
Cited by
Cited by
Year
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
2872020
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
892019
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
862018
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
852019
Progress in disruption prevention for ITER
EJ Strait, JL Barr, M Baruzzo, JW Berkery, RJ Buttery, PC de Vries, ...
Nuclear Fusion 59 (11), 112012, 2019
722019
Exploratory machine learning studies for disruption prediction using large databases on DIII-D
C Rea, RS Granetz
Fusion Science and Technology 74 (1-2), 89-100, 2018
592018
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
572022
New structures in the continuum of 15C populated by two-neutron transfer
F Cappuzzello, C Rea, A Bonaccorso, M Bondì, D Carbone, M Cavallaro, ...
Physics Letters B 711 (5), 347-352, 2012
532012
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
462020
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
402020
Overview of the RFX-mod fusion science activity
M Zuin, S Dal Bello, L Marrelli, ME Puiatti, P Agostinetti, M Agostini, ...
Nuclear Fusion 57 (10), 102012, 2017
372017
Progress toward interpretable machine learning–based disruption predictors across tokamaks
C Rea, KJ Montes, A Pau, RS Granetz, O Sauter
Fusion Science and Technology 76 (8), 912-924, 2020
362020
Disruption prediction on EAST tokamak using a deep learning algorithm
BH Guo, DL Chen, B Shen, C Rea, RS Granetz, L Zeng, WH Hu, JP Qian, ...
Plasma Physics and Controlled Fusion 63 (11), 115007, 2021
352021
Disruption prediction using a full convolutional neural network on EAST
BH Guo, B Shen, DL Chen, C Rea, RS Granetz, Y Huang, L Zeng, ...
Plasma Physics and Controlled Fusion 63 (2), 025008, 2020
312020
Real-time prediction of high-density EAST disruptions using random forest
WH Hu, C Rea, QP Yuan, KG Erickson, DL Chen, B Shen, Y Huang, ...
Nuclear Fusion 61 (6), 066034, 2021
282021
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
272019
3D effects on the RFX-mod boundary
N Vianello, G Spizzo, M Agostini, P Scarin, L Carraro, R Cavazzana, ...
Nuclear Fusion 53 (7), 073025, 2013
272013
Development and experimental qualification of novel disruption prevention techniques on DIII-D
JL Barr, B Sammuli, DA Humphreys, E Olofsson, XD Du, C Rea, ...
Nuclear Fusion 61 (12), 126019, 2021
252021
Magnetic perturbations as a viable tool for edge turbulence modification
N Vianello, C Rea, M Agostini, R Cavazzana, G Ciaccio, G De Masi, ...
Plasma Physics and Controlled Fusion 57 (1), 014027, 2014
242014
Overview of the RFX-mod contribution to the international Fusion Science Program
ME Puiatti, S Dal Bello, L Marrelli, P Martin, P Agostinetti, M Agostini, ...
Nuclear Fusion 55 (10), 104012, 2015
232015
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