activity
20182023
most citedComputational multiscale methods for quasi-gas dynamic equations

24 citations · 102 across the 16 of their papers we have counts for

collaborators

18 papers

math.NA2023

Partially Explicit Generalized Multiscale Method for Poroelasticity Problem

Xin Su, Wing Tat Leung, Wenyuan Li +1

We develop a partially explicit time discretization based on the framework of constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) for the problem…

math.NA2022★ 2 cited

Fast Online Adaptive Enrichment for Poroelasticity with High Contrast

Xin Su, Sai-Mang Pun

In this work, we develop an online adaptive enrichment method within the framework of the Constraint Energy Minimizing Generalized Multiscale Finite Element Method (CEM-GMsFEM) for…

math.NA2022★ 1 cited

Nonlocal transport equations in multiscale media. Modeling, dememorization, and discretizations

Yalchin Efendiev, Wing Tat Leung, Wenyuan Li +2

In this paper, we consider a class of convection-diffusion equations with memory effects. These equations arise as a result of homogenization or upscaling of linear transport equat…

math.NA2021

A Multiscale Method for the Heterogeneous Signorini Problem

Xin Su, Sai-Mang Pun

In this paper, we develop a multiscale method for solving the Signorini problem with a heterogeneous field. The Signorini problem is encountered in many applications, such as hydro…

math.NA2021★ 1 cited

Space-time Non-local multi-continua upscaling for parabolic equations with moving channelized media

Jiuhua Hu, Wing Tat Leung, Eric Chung +2

In this paper, we consider a parabolic problem with time-dependent heterogeneous coefficients. Many applied problems have coupled space and time heterogeneities. Their homogenizati…

math.NA2021★ 9 cited

Computational multiscale methods for parabolic wave approximations in heterogeneous media

Eric Chung, Yalchin Efendiev, Sai-Mang Pun +1

In this paper, we develop a computational multiscale to solve the parabolic wave approximation with heterogeneous and variable media. Parabolic wave approximation is a technique to…

math.NA2021★ 1 cited

Online adaptive algorithm for Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method

Sai-Mang Pun, Siu Wun Cheung

In this research, we propose an online basis enrichment strategy within the framework of a recently developed constraint energy minimizing generalized multiscale discontinuous Gale…

cs.LG2020★ 14 cited

Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem

Eric Chung, Yalchin Efendiev, Wing Tat Leung +2

In this work, we propose a multi-agent actor-critic reinforcement learning (RL) algorithm to accelerate the multi-level Monte Carlo Markov Chain (MCMC) sampling algorithms. The pol…

math.NA2020★ 12 cited

Temporal Splitting algorithms for non-stationary multiscale problems

Yalchin Efendiev, Sai-Mang Pun, Petr N. Vabishchevich

In this paper, we study temporal splitting algorithms for multiscale problems. The exact fine-grid spatial problems typically require some reduction in degrees of freedom. Multisca…

math.NA2020★ 1 cited

A multi-stage deep learning based algorithm for multiscale modelreduction

Eric Chung, Wing Tat Leung, Sai-Mang Pun +1

In this work, we propose a multi-stage training strategy for the development of deep learning algorithms applied to problems with multiscale features. Each stage of the pro-posed s…

math.NA2020★ 24 cited

Computational multiscale methods for quasi-gas dynamic equations

Boris Chetverushkin, Eric Chung, Yalchin Efendiev +2

In this paper, we consider the quasi-gas-dynamic (QGD) model in a multiscale environment. The model equations can be regarded as a hyperbolic regularization and are derived from ki…

math.NA2020

Convergence of the CEM-GMsFEM for Stokes flows in heterogeneous perforated domains

Eric Chung, Jiuhua Hu, Sai-Mang Pun

In this paper, we consider the incompressible Stokes flow problem in a perforated domain and employ the constraint energy minimizing generalized multiscale finite element method (C…

math.NA2019★ 12 cited

Computational multiscale methods for first-order wave equation using mixed CEM-GMsFEM

Eric Chung, Sai-Mang Pun

In this paper, we consider a pressure-velocity formulation of the heterogeneous wave equation and employ the constraint energy minimizing generalized multiscale finite element meth…

math.NA2018★ 21 cited

Computational Multiscale Methods for Linear Poroelasticity with High Contrast

Shubin Fu, Robert Altmann, Eric T. Chung +3

In this work, we employ the Constraint Energy Minimizing Generalized Multiscale Finite Element Method (CEM-GMsFEM) to solve the problem of linear heterogeneous poroelasticity with…

math.NA2018★ 4 cited

Online basis construction for goal-oriented adaptivity in the Generalized Multiscale Finite Element Method

Eric T. Chung, Sara Pollock, Sai-Mang Pun

In this research, we develop an online enrichment framework for goal-oriented adaptivity within the generalized multiscale finite element method for flow problems in heterogeneous…

math.NA2018

An adaptive dynamically low-dimensional approximation method for multiscale stochastic diffusion equations

Eric T. Chung, Sai-Mang Pun, Zhiwen Zhang

In this paper, we propose a dynamically low-dimensional approximation method to solve a class of time-dependent multiscale stochastic diffusion equations. A dynamically bi-orthogon…

math.NA2018

Online adaptive basis enrichment for mixed CEM-GMsFEM

Eric T. Chung, Sai-Mang Pun

In this research, an online basis enrichment strategy for the constraint energy minimizing generalized multiscale finite element method in mixed formulation is proposed. The online…

math.NA2018

Computational multiscale methods for linear heterogeneous poroelasticity

Robert Altmann, Eric Chung, Roland Maier +2

We consider a strongly heterogeneous medium saturated by an incompressible viscous fluid as it appears in geomechanical modeling. This poroelasticity problem suffers from rapidly o…