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Properties and challenges of machine learning closures for ten-moment fluid models in the case of Landau damping
Two-fluid ten-moment models for plasma simulations evolve the velocity moments of the Velocity Distribution Function (VDF) up to the pressure tensor and require a closure for the divergence of the next velocity moment, the heat flux. We investigate the use of Machine Learning (ML) models for the dis
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