Learning-based multi-continuum model for multiscale flow problems

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Cites Work

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Generalized multiscale finite element methods (GMsFEM)
Multiscale finite element methods for high-contrast problems using local spectral basis functions
The variational multiscale method -- a paradigm for computational mechanics
The Deep Ritz Method: a deep learning-based numerical algorithm for solving variational problems
DGM: a deep learning algorithm for solving partial differential equations
NH-PINN: neural homogenization-based physics-informed neural network for multiscale problems
Neural-network based collision operators for the Boltzmann equation
DPM: a deep learning PDE augmentation method with application to large-eddy simulation
Deep global model reduction learning in porous media flow simulation
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Deep multiscale model learning
Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
PDE-constrained models with neural network terms: optimization and global convergence
A survey of projection-based model reduction methods for parametric dynamical systems
Localized Orthogonal Decomposition Techniques for Boundary Value Problems
Nonlinear Model Reduction via Discrete Empirical Interpolation
The heterogeneous multiscale method
Mixed Multiscale Finite Element Methods Using Limited Global Information
Localization of elliptic multiscale problems
Basic concepts in the theory of seepage of homogeneous liquids in fissured rocks [strata]
Mixed Multiscale Finite Element Methods for Stochastic Porous Media Flows
Multiscale Finite Element Methods
Asymptotic and numerical homogenization
Homogenization and Two-Scale Convergence
A General Convergence Result for a Functional Related to the Theory of Homogenization
A Multiscale Neural Network Based on Hierarchical Matrices
Oversampling for the Multiscale Finite Element Method
A Multiscale Finite Element Method for Numerical Homogenization
RelaxNet: a structure-preserving neural network to approximate the Boltzmann collision operator

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