activity
20162022
most citedMultiscale simulations for multi-continuum Richards equations

18 citations · 63 across the 15 of their papers we have counts for

collaborators

16 papers

math.NA2022★ 8 cited

Constraint Energy Minimizing Generalized Multiscale Finite Element Method for multi-continuum Richards equations

Tina Mai, Siu Wun Cheung, Jun Sur Richard Park

In fluid flow simulation, the multi-continuum model is a useful strategy. When the heterogeneity and contrast of coefficients are high, the system becomes multiscale, and some kind…

math.NA2022★ 3 cited

Local Lagrangian reduced-order modeling for Rayleigh-Taylor instability by solution manifold decomposition

Siu Wun Cheung, Youngsoo Choi, Dylan Matthew Copeland +1

Rayleigh-Taylor instability is a classical hydrodynamic instability of great interest in various disciplines of science and engineering, including astrophyics, atmospheric sciences…

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…

math.NA2020

Analysis of Non-local Multicontinuum Upscaling for Dual Continuum Model

Jingyan Zhang, Siu Wun Cheung

In this paper, we develop and analyze a rigorous multiscale upscaling method for dual continuum model, which serves as a powerful tool in subsurface formation applications. Our pro…

math.NA2020★ 18 cited

Multiscale simulations for multi-continuum Richards equations

Jun Sur Richard Park, Siu Wun Cheung, Tina Mai

In this paper, we study a multiscale method for simulating a dual-continuum unsaturated flow problem within complex heterogeneous fractured porous media. Mathematically, each of th…

math.NA2020

Explicit and Energy-Conserving Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method for Wave Propagation in Heterogeneous Media

Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev +1

In this work, we propose a local multiscale model reduction approach for the time-domain scalar wave equation in a heterogenous media. A fine mesh is used to capture the heterogene…

math.NA2019

Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method

Siu Wun Cheung, Eric T. Chung, Wing Tat Leung

Numerical simulation of flow problems and wave propagation in heterogeneous media has important applications in many engineering areas. However, numerical solutions on the fine gri…

math.NA2019★ 6 cited

Reduced-order Deep Learning for Flow Dynamics

Min Wang, Siu Wun Cheung, Wing Tat Leung +3

In this paper, we investigate neural networks applied to multiscale simulations and discuss a design of a novel deep neural network model reduction approach for multiscale problems…

math.NA2018★ 1 cited

Generalized Multiscale Multicontinuum Model for Fractured Vuggy Carbonate Reservoirs

Min Wang, Siu Wun Cheung, Eric T. Chung +2

Simulating flow in a highly heterogeneous reservoir with multiscale characteristics could be considerably demanding. To tackle this problem, we propose a numerical scheme coupling…

math.NA2018★ 3 cited

Prediction of Discretization of GMsFEM using Deep Learning

Min Wang, Siu Wun Cheung, Eric T. Chung +3

In this paper, we propose a deep-learning-based approach to a class of multiscale problems. THe Generalized Multiscale Finite Element Method (GMsFEM) has been proven successful as…

math.NA2018

Constraint Energy Minimizing Generalized Multiscale Finite Element Method for dual continuum model

Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev +2

The dual continuum model serves as a powerful tool in the modeling of subsurface applications. It allows a systematic coupling of various components of the solutions. The system is…

math.NA2018★ 2 cited

Nonlocal multicontinua upscaling for multicontinua flow problems in fractured porous media

Maria Vasilyeva, Eric T. Chung, Siu Wun Cheung +2

Our goal of this paper is to develop a new upscaling method for multicontinua flow problems in fractured porous media. We consider a system of equations that describes flow phenome…

math.NA2018★ 3 cited

Deep Global Model Reduction Learning in Porous Media Flow Simulation

Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev +3

In this paper, we combine deep learning concepts and some proper orthogonal decomposition (POD) model reduction methods for predicting flow in heterogeneous porous media. Nonlinear…

math.NA2018

An embedded SDG method for the convection-diffusion equation

Siu Wun Cheung, Eric T. Chung

In this paper, we present an embedded staggered discontinuous Galerkin method for the convection-diffusion equation. The new method combines the advantages of staggered discontinuo…

math.NA2018★ 18 cited

Deep Multiscale Model Learning

Yating Wang, Siu Wun Cheung, Eric T. Chung +2

The objective of this paper is to design novel multi-layer neural network architectures for multiscale simulations of flows taking into account the observed data and physical model…

math.NA2016

A mass conservative scheme for fluid-structure interaction problems by the staggered discontinuous Galerkin method

Siu Wun Cheung, Eric Chung, Hyea Hyun Kim

In this paper, we develop a new mass conservative numerical scheme for the simulations of a class of fluid-structure interaction problems. We will use the immersed boundary method…