Data-driven study of major disruption prediction and plasma instabilities across multiple tokamaks

J Zhu - 2023 - dspace.mit.edu
The use of nuclear fusion energy via magnetic-confinement tokamaks is one of a few
encouraging paths toward future sustainable energy. Along the way, scientists need to learn …

Interpretable Machine Learning for Prediction and Avoidance of Disruptions in Tokamak Plasmas

KJ Montes - 2021 - dspace.mit.edu
Tokamak plasmas are sometimes terminated due to off-normal events called disruptions,
which are characterized by successive thermal and current quench events that deplete the …