Open AccessModeling of transport phenomena in tokamak plasmas with neural networks
Author(s) -
O. Meneghini,
Christopher Luna,
S. P. Smith,
L. L. Lao
Publication year - 2014
Publication title -
physics of plasmas
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.75
H-Index - 160
eISSN - 1089-7674
pISSN - 1070-664X
DOI - 10.1063/1.4885343
Subject(s) - physics , plasma , tokamak , dimensionless quantity , artificial neural network , radius , heat flux , electron temperature , divertor , benchmark (surveying) , flux (metallurgy) , computational physics , ion , electron , atomic physics , statistical physics , mechanics , heat transfer , nuclear physics , machine learning , computer science , computer security , materials science , geodesy , quantum mechanics , metallurgy , geography
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