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physics.comp-ph2019
Machine learning characterisation of Alfvénic and sub-Alfvénic chirping and correlation with fast ion loss at NSTX
Benjamin J. Q. Woods, Vinícius N. Duarte, Eric D. Fredrickson +3
Abrupt large events in the Alfvénic and sub-Alfvénic frequency bands in tokamaks are typically correlated with increased fast ion loss. Here, machine learning is used to speed up t…
physics.comp-ph2018
Positivity-preserving scheme for two-dimensional advection-diffusion equations including mixed derivatives
Erasmus J. du Toit, Martin R. O'Brien, Roddy G. L. Vann
In this work, we propose a positivity-preserving scheme for solving two-dimensional advection-diffusion equations including mixed derivative terms, in order to improve the accuracy…