A tuned 3DCNN recovers Reynolds stress tensor components from filtered quiet-Sun velocity and density fields with ~31% lower RMSE on diagonals and ~8% on off-diagonals versus physics baselines.
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Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations
A tuned 3DCNN recovers Reynolds stress tensor components from filtered quiet-Sun velocity and density fields with ~31% lower RMSE on diagonals and ~8% on off-diagonals versus physics baselines.