Physics of runaway electrons in tokamaks

BN Breizman, P Aleynikov, EM Hollmann… - Nuclear …, 2019 - iopscience.iop.org
Of all electrons, runaway electrons have long been recognized in the fusion community as a
distinctive population. They now attract special attention as a part of ITER mission …

Information geometry, fluctuations, non-equilibrium thermodynamics, and geodesics in complex systems

E Kim - Entropy, 2021 - mdpi.com
Information theory provides an interdisciplinary method to understand important phenomena
in many research fields ranging from astrophysical and laboratory fluids/plasmas to …

Predicting disruptive instabilities in controlled fusion plasmas through deep learning

J Kates-Harbeck, A Svyatkovskiy, W Tang - Nature, 2019 - nature.com
Nuclear fusion power delivered by magnetic-confinement tokamak reactors holds the
promise of sustainable and clean energy. The avoidance of large-scale plasma instabilities …

A sustained high-temperature fusion plasma regime facilitated by fast ions

H Han, SJ Park, C Sung, J Kang, YH Lee, J Chung… - Nature, 2022 - nature.com
Nuclear fusion is one of the most attractive alternatives to carbon-dependent energy
sources. Harnessing energy from nuclear fusion in a large reactor scale, however, still …

Avoiding fusion plasma tearing instability with deep reinforcement learning

J Seo, SK Kim, A Jalalvand, R Conlin, A Rothstein… - Nature, 2024 - nature.com
For stable and efficient fusion energy production using a tokamak reactor, it is essential to
maintain a high-pressure hydrogenic plasma without plasma disruption. Therefore, it is …

2022 review of data-driven plasma science

R Anirudh, R Archibald, MS Asif… - … on Plasma Science, 2023 - ieeexplore.ieee.org
Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

A real-time machine learning-based disruption predictor in DIII-D

C Rea, KJ Montes, KG Erickson, RS Granetz… - Nuclear …, 2019 - iopscience.iop.org
A disruption prediction algorithm, called disruption prediction using random forests (DPRF),
has run in real-time in the DIII-D plasma control system (PCS) for more than 900 discharges …

[图书][B] Magnetohydrodynamic stability of tokamaks

H Zohm - 2015 - books.google.com
This book bridges the gap between general plasma physics lectures and the real world
problems in MHD stability. In order to support the understanding of concepts and their …

Theory of tokamak disruptions

AH Boozer - Physics of plasmas, 2012 - pubs.aip.org
Theoretical guidance is needed on two disruption questions:(1) When is a tokamak
operating in a metastable state in which loss of control is credible (avoidance question)?(2) …

Onset of tearing modes in plasma termination on JET: the role of temperature hollowing and edge cooling

G Pucella, P Buratti, E Giovannozzi, E Alessi… - Nuclear …, 2021 - iopscience.iop.org
In this work the onset of tearing modes in the termination phase of plasma pulses on JET is
investigated. It is shown that the broadening or the shrinking of the current density profile, as …