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Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet-Sun 3D Radiative Hydrodynamic Simulations

  • Authors: Rimsha Hameed Syeda, Dustin Kempton, Viacheslav Sadykov, Irina Kitiashvili, Rafal Angryk

Rimsha Hameed Syeda et al 2026 The Astrophysical Journal Supplement Series 285 .

  • Provider: AAS Journals

Caption: Figure 13.

Distributions of components τvv shown in panel (a) and τuw in panel (b). Blue curves show the original target distributions, orange curves show CNN predictions using filtered/coarse-grained inputs derived from the high-resolution simulations, and gray curves show CNN predictions using inputs from the genuine low-resolution simulations for the case CS = CC = 0.001.

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