Dataset for the FG-MoE turbulence model

FG-MoE (Factorized-Gating Mixture of Experts) is a modeling framework designed to capture complex turbulent behaviors across different flow regimes. It decomposes turbulence model into regime-specific experts and combines them through spatially varying gating probabilities. FG-MoE introduces a factorized gating mechanism to reduce model complexity, improve interpretability, and enable cross-regime generalization.

This dataset is used to run the benchmark test cases and reproduce the results in the related paper.

For more details, please refer to https://github.com/StrakaLiu/FG-MoE_turbulence_model.