The review gathers and examines machine learning techniques, including equation discovery and neural network surrogates, for building improved moment closure relations that incorporate kinetic phenomena into plasma fluid models.
Paulo & Fiuza, Frederico2022 Data-driven discovery of reduced plasma physics models from fully-kinetic simulations
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The Machine Learning Approach to Moment Closure Relations for Plasma: A Review
The review gathers and examines machine learning techniques, including equation discovery and neural network surrogates, for building improved moment closure relations that incorporate kinetic phenomena into plasma fluid models.