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

arXiv:2607.08969 · astro-ph.SR, physics.flu-dyn · Submitted 2026-07-09 · Read on arXiv

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

astro-ph.SR, physics.flu-dyn

Submitted: 2026-07-09

Comments: 45 pages, 18 figures, 8 tables, accepted to ApJS

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Activation Function — 11× in this paper · explained in 1 episode
• Accuracy — 9× in this paper · explained in 1 episode
• Mean Squared Error — 7× in this paper
• Clustering — 6× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• alpha — 3× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 2× in this paper · explained in 2 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Stochastic Gradient Descent — 2× in this paper
• Stochastic Gradient Descent (SGD) — 2× in this paper · explained in 5 episodes
• Ab Initio — 1× in this paper · explained in 1 episode
• Abundance — 1× in this paper · explained in 1 episode
• Active Regions — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Covariate Shift — 1× in this paper · explained in 2 episodes
• D Convolutional Neural Network — 1× in this paper
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Eddy Simulations — 1× in this paper
• Root Mean Squared Error — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Dealing with Logs and Zeros in Regression Models
• Reynolds Stress Modeling Using Data Driven Machine Learning Algorithms
• PyTorch: An Imperative Style, High-Performance Deep Learning Library
• Simulations of Stellar Magnetoconvection using the Radiative MHD Code `StellarBox'
• Very Deep Convolutional Networks for Large-Scale Image Recognition
• Object Detectors Emerge in Deep Scene CNNs

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