Cristina Rea

According to our database, Cristina Rea authored at least 9 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

DisruptionPy: An open-source physics-based scientific framework for disruption analysis of fusion plasmas.

Gregorio L. Trevisan, Yumou Wei, Amos M. Decker, Joshua Lorincz, Samuel L. Jackson, Cristina Rea, Robert S. Granetz, MIT PSFC Disruptions Group

J. Open Source Softw., March, 2026

2025

Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV.

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, Stefano Marchioni, TCV Team

CoRR, February, 2025

2024

Time Series Viewmakers for Robust Disruption Prediction.

Dhruva Chayapathy, Tavis Siebert, Lucas Spangher, Akshata Kishore Moharir, Om Manoj Patil, Cristina Rea

CoRR, 2024

Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning.

Allen M. Wang, Oswin So, Charles Dawson, Darren T. Garnier, Cristina Rea, Chuchu Fan

CoRR, 2024

Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy.

Lucas Spangher, Allen M. Wang, Andrew Maris, Myles Stapelberg, Viraj Mehta, Alex Saperstein, Stephen Lane-Walsh, Akshata Kishore Moharir, Alessandro Pau, Cristina Rea

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Hybridizing Physics and Neural ODEs for Predicting Plasma Inductance Dynamics in Tokamak Fusion Reactors.

Allen M. Wang, Darren T. Garnier, Cristina Rea

CoRR, 2023

2021

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

Jinxiang Zhu, Cristina Rea, Robert S. Granetz, Earl S. Marmar, Kevin J. Montes, Ryan Sweeney, Roy A. Tinguely, Dalong Chen, Biao Shen, Bingjia Xiao, David Humphreys, Jayson Barr, Orso-Maria Meneghini

CoRR, 2021

2020

Hybrid deep learning architecture for general disruption prediction across tokamaks.

J. X. Zhu, Cristina Rea, K. Montes, Robert S. Granetz, R. Sweeney, R. A. Tinguely

CoRR, 2020

2016

A Customer Relationship Management Case Study Based on Banking Data.

Ivan Luciano Danesi, Cristina Rea

Proceedings of the Machine Learning, Optimization, and Big Data, 2016