Cristina Rea - Publications, H-index & Citations

Cristina Rea

massachusetts institute of technology (mit)

21H指数

96论文数

1.7K被引数

收录论文 29

发表时间

A review of machine learning-driven studies of tearing modes in tokamaks 机器学习驱动的托卡马克撕裂模研究的综述

Physics of Plasmas

IF2.2

2026-05-01

PREAI

Rea, C.; Benjamin, S.

Real-time avoidance of the L-mode and H-mode density limit via machine-learned stability metrics 通过机器学习稳定性指标实时避免L模和H模密度极限

Nuclear Fusion

IF4

2026-03-30

OAAI

A.D. Maris; C. Rea; A. Pau; J. Barr; K. Erickson; L. Schmitz; Z. Yan; R. Granetz; E. Marmar; the EUROfusion Tokamak Exploitation Team

Macroscopic trends of neoclassical tearing stability in high-field H-mode tokamak pilot plants 新古典撕裂模稳定性的宏观趋势在高场侧H模托卡马克实验堆中的应用

Nuclear Fusion

IF4

2026-02-26

OAAI

S. Benjamin; Z. Keith; A. Maris; A. Kumar; N. Logan; C. Hansen; E. Howell; E. Marmar; C. Rea

Learning plasma dynamics and robust rampdown trajectories with predict-first experiments at TCV 在TCV上通过预测优先实验学习等离子体动力学和鲁棒性的平坡轨迹

Nature Communications

IF15.7

2025-10-06

OAAI

Allen M. Wang; Alessandro Pau; Cristina Rea; Oswin So; Charles Dawson; Olivier Sauter; Mark D. Boyer; Anna Vu; Cristian Galperti; Chuchu Fan; Antoine Merle; Yoeri Poels; Cristina Venturini; Federico Felici; Stefano Marchioni

Design and development of an off-normal warning system for SPARC SPARC非正常工况报警系统的设计与开发

Nuclear Fusion

IF4

2025-10-06

OAAI

A.R. Saperstein; C. Rea; R. Sweeney; M.D. Boyer; G.L. Trevisan; Y. Wei; the MIT PSFC Disruptions Team

Machine Learning Applications Enabling Fusion Energy: Recent Developments 机器学习在聚变能源中的应用：最新进展

JOURNAL OF FUSION ENERGY

IF2.1

2025-09-03

OAAI

Rea, Cristina

Correlation of the L-mode density limit with edge collisionality L-模密度极限与边缘碰撞的相关性

NUCLEAR FUSION

IF4

2024-12-11

OAAI

Maris, A. D.; Rea, C.; Pau, A.; Hu, W.; Xiao, B.; Granetz, R.; Marmar, E.; EUROfusion Tokama Exploitation Team; Alcator C Mod Team; ASDEX Upgrade Team; DIII-D Team; EAST Team; TCV Team

The root cause of disruptive NTMs and paths to stable operation in DIII-D ITER baseline scenario plasmas

NUCLEAR FUSION

IF4

2024-09-23

PREAI

Bardoczi, L.; Richner, N. J.; Logan, N. C.; Strait, E. J.; Holcomb, C. T.; Zhu, J.; Rea, C.

Disruption prediction on EAST with different wall conditions based on a multi-scale deep hybrid neural network

NUCLEAR FUSION

IF4

2023-07-20

OAAI

Guo, B. H.; Chen, D. L.; Rea, C.; Wu, M. Q.; Shen, B.; Granetz, R. S.; Zhang, Z. C.; Huang, Y.; Duan, Y. M.; Zeng, L.; Xiao, B. J.

Integrated deep learning framework for unstable event identification and disruption prediction of tokamak plasmas 用于托卡马克等离子体不稳定事件识别和中断预测的集成深度学习框架

NUCLEAR FUSION

IF4

2023-03-01

OAAI

Zhu, J. X.; Rea, C.; Granetz, R. S.; Marmar, E. S.; Sweeney, R.; Montes, K.; Tinguely, R. A.

Overview of the SPARC physics basis towards the exploration of burning-plasma regimes in high-field, compact tokamaks SPARC物理学基础概述，旨在探索高场紧凑型托卡马克中的燃烧等离子体状态

NUCLEAR FUSION

IF4

2022-03-01

OAAI

Rodriguez-Fernandez, P.; Creely, A. J.; Greenwald, M. J.; Brunner, D.; Ballinger, S. B.; Chrobak, C. P.; Garnier, D. T.; Granetz, R.; Hartwig, Z. S.; Howard, N. T.; Hughes, J. W.; Irby, J. H.; Izzo, V. A.; Kuang, A. Q.; Lin, Y.; Marmar, E. S.; Mumgaard, R. T.; Rea, C.; Reinke, M. L.; Riccardo, V; Rice, J. E.; Scott, S. D.; Sorbom, B. N.; Stillerman, J. A.; Sweeney, R.; Tinguely, R. A.; Whyte, D. G.; Wright, J. C.; Yuryev, D., V

Toward active disruption avoidance via real-time estimation of the safe operating region and disruption proximity in tokamaks 通过实时估计托卡马克的安全操作区域和干扰接近度来主动避免干扰

NUCLEAR FUSION

IF4

2021-12-16

PREAI

Boyer, M. D.; Rea, C.; Clement, M.

Development and experimental qualification of novel disruption prevention techniques on DIII-D Diii-d新型防破坏技术的开发和实验资格

NUCLEAR FUSION

IF4

2021-10-26

OAAI

Barr, J. L.; Sammuli, B.; Humphreys, D. A.; Olofsson, E.; Du, X. D.; Rea, C.; Wehner, W. P.; Boyer, M. D.; Eidietis, N. W.; Granetz, R.; Hyatt, A.; Liu, T.; Logan, N. C.; Munaretto, S.; Strait, E.; Wang, Z. R.; Team, The DIII-D

Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks

NUCLEAR FUSION

IF4

2021-10-07

OAAI

Zhu, J.; Rea, C.; Granetz, R. S.; Marmar, E. S.; Montes, K. J.; Sweeney, R.; Tinguely, R. A.; Chen, D. L.; Shen, B.; Xiao, B. J.; Humphreys, D.; Barr, J.; Meneghini, O.

Summary of the IAEA technical meeting on plasma disruptions and their mitigation 原子能机构等离子体干扰及其缓解技术会议摘要

NUCLEAR FUSION

IF4

2021-06-03

OAAI

Bandyopadhyay, Indranil; Barbarino, Matteo; Bhattacharjee, Amitava; Eidietis, Nicholas; Huber, Alexander; Isayama, Akihiko; Kim, Jayhyun; Konovalov, Sergey; Lehnen, Michael; Nardon, Eric; Pautasso, Gabriella; Rea, Cristina; Sozzi, Carlo; Villone, Fabio; Zeng, Long

Real-time prediction of high-density EAST disruptions using random forest

NUCLEAR FUSION

IF4

2021-05-18

PREAI

Hu, W. H.; Rea, C.; Yuan, Q. P.; Erickson, K. G.; Chen, D. L.; Shen, B.; Huang, Y.; Xiao, J. Y.; Chen, J. J.; Duan, Y. M.; Zhang, Y.; Zhuang, H. D.; Xu, J. C.; Montes, K. J.; Granetz, R. S.; Zeng, L.; Qian, J. P.; Xiao, B. J.; Li, J. G.

Hybrid deep learning architecture for general disruption prediction across tokamaks (vol 61, 026007, 2021)用于跨托卡马克的一般中断预测的混合深度学习架构 (vol 61，026007，2021)

NUCLEAR FUSION

IF4

2021-03-15

OAAI

Zhu, J. X.; Rea, C.; Montes, K.; Granetz, R. S.; Sweeney, R.; Tinguely, R. A.

A semi-supervised machine learning detector for physics events in tokamak discharges 托卡马克放电物理事件的半监督机器学习检测器

NUCLEAR FUSION

IF4

2021-01-13

PREAI

Montes, K. J.; Rea, C.; Tinguely, R. A.; Sweeney, R.; Zhu, J.; Granetz, R. S.

Hybrid deep-learning architecture for general disruption prediction across multiple tokamaks 用于跨多个托卡马克的一般中断预测的混合深度学习架构

NUCLEAR FUSION

IF4

2020-12-22

OAAI

Zhu, J. X.; Rea, C.; Montes, K.; Granetz, R. S.; Sweeney, R.; Tinguely, R. A.

The phenomenology of reconnection events in the reversed field pinch 反向场收缩中重新连接事件的现象学

NUCLEAR FUSION

IF4

2020-04-23

PREAI

Momo, B.; Isliker, H.; Cavazzana, R.; Zuin, M.; Cordaro, L.; Lopez-Bruna, D.; Martines, E.; Predebon, I.; Rea, C.; Spolaore, M.; Vlahos, L.; Zanca, P.

研究方向