May 20, 2022, 1:12 a.m. | Abhilash Mathews, Noah Mandell, Manaure Francisquez, Jerry Hughes, Ammar Hakim

cs.LG updates on arXiv.org arxiv.org

A key uncertainty in the design and development of magnetic confinement
fusion energy reactors is predicting edge plasma turbulence. An essential step
in overcoming this uncertainty is the validation in accuracy of reduced
turbulent transport models. Drift-reduced Braginskii two-fluid theory is one
such set of reduced equations that has for decades simulated boundary plasmas
in experiment, but significant questions exist regarding its predictive
ability. To this end, using a novel physics-informed deep learning framework,
we demonstrate the first ever direct …

arxiv physics

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