Machine learning applications for predicting the pedestal in tokamak plasmas
Licentiate thesis, 2023
Magnetic confinement fusion
Machine learning
Pedestal
Tokamak
Neural networks
Author
Andreas Gillgren
Chalmers, Space, Earth and Environment, Astronomy and Plasmaphysics
Enabling adaptive pedestals in predictive transport simulations using neural networks
Nuclear Fusion,;Vol. 62(2022)
Journal article
High temporal resolution of pedestal dynamics via machine learning on density diagnostics
Plasma Physics and Controlled Fusion,;Vol. 66(2024)
Journal article
A fast neural network surrogate model for the eigenvalues of QuaLiKiz
Physics of Plasmas,;Vol. 30(2023)
Journal article
Subject Categories
Fusion, Plasma and Space Physics
Publisher
Chalmers