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NH-PINN: Neural homogenization-based physics-informed neural network for multiscale problems., , and . J. Comput. Phys., (2022)An adaptive space and time method in partially explicit splitting scheme for multiscale flow problems., and . Comput. Math. Appl., (August 2023)Generalized multiscale finite element methods for space-time heterogeneous parabolic equations., , , and . Comput. Math. Appl., 76 (2): 419-437 (2018)Multiscale Simulations for Coupled Flow and Transport Using the Generalized Multiscale Finite Element Method., , , and . Comput., 3 (4): 670-686 (2015)Iterative oversampling technique for constraint energy minimizing generalized multiscale finite element method in the mixed formulation., , , , and . Appl. Math. Comput., (2022)A multi-stage deep learning based algorithm for multiscale modelreduction., , , and . CoRR, (2020)Mixed GMsFEM for second order elliptic problem in perforated domains., , and . J. Comput. Appl. Math., (2016)NH-PINN: Neural homogenization based physics-informed neural network for multiscale problems., , and . CoRR, (2021)Sequential local mesh refinement solver with separate temporal and spatial adaptivity for non-linear two-phase flow problems., , and . J. Comput. Phys., (2020)Learning Algorithms for Coarsening Uncertainty Space and Applications to Multiscale Simulations., , , and . CoRR, (2020)