[HTML][HTML] The Dune framework: Basic concepts and recent developments

P Bastian, M Blatt, A Dedner, NA Dreier… - … & Mathematics with …, 2021 - Elsevier
This paper presents the basic concepts and the module structure of the Distributed and
Unified Numerics Environment and reflects on recent developments and general changes …

Adaptive multiscale model reduction with generalized multiscale finite element methods

E Chung, Y Efendiev, TY Hou - Journal of Computational Physics, 2016 - Elsevier
In this paper, we discuss a general multiscale model reduction framework based on
multiscale finite element methods. We give a brief overview of related multiscale methods …

Constraint energy minimizing generalized multiscale finite element method

ET Chung, Y Efendiev, WT Leung - Computer Methods in Applied …, 2018 - Elsevier
In this paper, we propose Constraint Energy Minimizing Generalized Multiscale Finite
Element Method (CEM-GMsFEM). The main goal of this paper is to design multiscale basis …

Mixed generalized multiscale finite element methods and applications

ET Chung, Y Efendiev, CS Lee - Multiscale Modeling & Simulation, 2015 - SIAM
In this paper, we present a mixed generalized multiscale finite element method (GMsFEM)
for solving flow in heterogeneous media. Our approach constructs multiscale basis functions …

Multiscale finite volume method for finite-volume-based simulation of poroelasticity

I Sokolova, MG Bastisya, H Hajibeygi - Journal of Computational Physics, 2019 - Elsevier
We propose a multiscale finite volume method (MSFV) for simulation of coupled flow-
deformation in heterogeneous porous media under elastic deformation (ie, poroelastic …

Deep multiscale model learning

Y Wang, SW Cheung, ET Chung, Y Efendiev… - Journal of …, 2020 - Elsevier
The objective of this paper is to design novel multi-layer neural networks for multiscale
simulations of flows taking into account the observed fine data and physical modeling …

Residual-driven online generalized multiscale finite element methods

ET Chung, Y Efendiev, WT Leung - Journal of Computational Physics, 2015 - Elsevier
The construction of local reduced-order models via multiscale basis functions has been an
area of active research. In this paper, we propose online multiscale basis functions which …

Efficient deep learning techniques for multiphase flow simulation in heterogeneous porousc media

Y Wang, G Lin - Journal of Computational Physics, 2020 - Elsevier
We present efficient deep learning techniques for approximating flow and transport
equations for both single phase and two-phase flow problems. The proposed methods take …

Randomized oversampling for generalized multiscale finite element methods

VM Calo, Y Efendiev, J Galvis, G Li - Multiscale Modeling & Simulation, 2016 - SIAM
In this paper, we develop efficient multiscale methods for flows in heterogeneous media. We
use the generalized multiscale finite element (GMsFEM) framework. GMsFEM approximates …

Generalized multiscale finite element methods for problems in perforated heterogeneous domains

ET Chung, Y Efendiev, G Li, M Vasilyeva - Applicable Analysis, 2016 - Taylor & Francis
Complex processes in perforated domains occur in many real-world applications. These
problems are typically characterized by physical processes in domains with multiple scales …