Zobrazeno 1 - 10
of 213
pro vyhledávání: '"E. Mauel"'
Publikováno v:
Plasma Physics and Controlled Fusion.
We present a new algorithm to track the amplitude and phase of rotating MHD modes in tokamak plasmas using high speed imaging cameras and deep learning. This algorithm uses a convolutional neural network (CNN) to predict the amplitudes of the n=1 sin
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Publikováno v:
Physics of Plasmas. 30:042506
Asymmetric halo currents (HCs) can exert large net forces on the vacuum vessel and other components during disruptions on tokamaks. The displacements caused by these forces can then be amplified if these asymmetric forces rotate at frequencies resona
Autor:
Michael E. Mauel
Publikováno v:
Physics of Plasmas. 30:029801
Publikováno v:
Annales d'Endocrinologie. 83:339
Publikováno v:
Nuclear Fusion. 61:126063
A variational autoencoder (VAE) is a type of unsupervised neural network which is able to learn meaningful data representations in a reduced dimensional space. We present an application of VAE in identifying the operational stability boundary of toka
Publikováno v:
Physics of Plasmas. 28:102301
Turbulent self-organization driven by global ideal interchange modes in a dipole-confined plasma is explored with self-consistent, whole-plasma simulations using a flux-tube averaged magnetohydrodynamic model in dipole magnetic geometry. We show the
Autor:
Michael E. Mauel
Publikováno v:
Physics of Plasmas. 28:100201
Autor:
Michael E. Mauel
Publikováno v:
Physics of Plasmas. 28:080201
Autor:
Michael E. Mauel, Michael R. Brown
Publikováno v:
Physics of Plasmas. 28:070401