Coarse-grid, filtered, and downsampled flow fields often retain the dominant large-scale organization of a high-fidelity (HF) solution while losing localized gradients, interfaces, shear layers, corner vortices, and curved-wall details. We, therefore, examine cross-fidelity errors from a fluid-mechanics perspective and...
Cheng-Cheng Yang, Hong-Wei Tang, Qing-Feng Wang et al.· The Physics of Fluids· 0 citations
As nonlinearity strengthens, the accuracy advantage of discretization-based constraints becomes increasingly pronounced, with smaller optimization errors compensating for the truncation errors, and the more complex the nonlinearity and boundary conditions, the greater the advantage of GNN over MLP.
Xing Guo, Hong-Wei Tang, Ze-Wei Meng et al.· 0 citations
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