In nuclear fusion reactors, plasmas are heated to very high temperatures of more than 100
million kelvin and, in so-called tokamaks, they are confined by magnetic fields in the shape …

One of the biggest challenges to achieve the goal of producing fusion energy in tokamak
devices is the necessity of avoiding disruptions of the plasma current due to instabilities. The …

We present a gyrokinetic theory of an E× B vortex flow in a magnetic island self-generated
from turbulence in a collisionless tokamak plasma. We have found that after fast collisionless …

The objective of thermonuclear fusion consists of producing electricity from the coalescence
of light nuclei in high temperature plasmas. The most promising route to fusion envisages …

In this paper we lay the groundwork for a robust cross-device comparison of data-driven
disruption prediction algorithms on DIII-D and JET tokamaks. In order to consistently carry on …

Notwithstanding the efforts exerted over many years, disruptions remain a major impediment
on the route to a magnetic confinement reactor of the tokamak type. Machine learning …

To produce fusion reactions efficiently, thermonuclear plasmas have to reach extremely high
temperatures, which is incompatible with their coming into contact with material surfaces …

Using machine learning (ML) techniques to develop disruption predictors is an effective way
to avoid or mitigate the disruption in a large-scale tokamak. The recent ML-based disruption …

This paper provides an introduction to the problems of control of plasmas and plasma
magnetic-confinement devices known as tokamaks. The basic science of fusion plasmas …

The advent of machine learning (ML) has revolutionized the research of plasma
confinement, offering new avenues for exploration. It enables the construction of models that …