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A Neural-network-based multiscale Hybridizable Discontinuous Galerkin method for solving PDEs in porous media
We develop a neural-network-accelerated multiscale hybridizable discontinuous Galerkin method for elliptic problems with heterogeneous coefficients. The method preserves the standard MsHDG local-to-global structure: fine-scale HDG problems on coarse blocks define discrete Dirichlet-to-Neumann operat
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