An attention-enhanced FNO+U-Net predicts mixed-GMsFEM multiscale bases; a two-grid preconditioner then solves the assembled Darcy system more accurately than pure learning baselines and faster offline than classical GMsFEM.
An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed gmsfem
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Applying Two-Grid Preconditioner for Subsurface Flow Simulation using Attention-enhanced Hybrid Network to Accelerate Multiscale Discretization in High-contrast Media
An attention-enhanced FNO+U-Net predicts mixed-GMsFEM multiscale bases; a two-grid preconditioner then solves the assembled Darcy system more accurately than pure learning baselines and faster offline than classical GMsFEM.