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  1. RESEARCH · arXiv cs.LG English(EN) · · [2 sources]

    A Validated LBM Dataset and Pipeline for Surrogate Modeling of Turbulent 3D Obstructed Channel Flows

    Researchers have developed a validated dataset and pipeline for training neural operators to model turbulent 3D obstructed channel flows. The lattice Boltzmann solver used in the pipeline has been rigorously verified against experimental measurements, including Strouhal number and drag coefficients. This work aims to enable standardized comparison of surrogate models like Fourier Neural Operator and U-Net variants for tasks such as forecasting and super-resolution, using physics-informed metrics to assess their representation of turbulent energy cascades. AI

    IMPACT Enables more rigorous evaluation and comparison of neural operators for complex fluid dynamics simulations.