An enhanced octree S^3 algorithm reduces CFD mesh cells 35-95% across three test cases while preserving dominant dynamics for efficient post-processing.
Machine-learning based error prediction approach for coarse-grid Computational Fluid Dynamics (CG-CFD)
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An octree-based sampling algorithm for analyzing big simulation data
An enhanced octree S^3 algorithm reduces CFD mesh cells 35-95% across three test cases while preserving dominant dynamics for efficient post-processing.