collaborators

8 papers

math.NA20242 cited

Multicontinuum homogenization in perforated domains

Wei Xie, Yalchin Efendiev, Yunqing Huang +2

In this paper, we develop a general framework for multicontinuum homogenization in perforated domains. The simulations of problems in perforated domains are expensive and, in many…

math.NA2024

Partially explicit splitting scheme with explicit-implicit-null method for nonlinear multiscale flow problems

Yating Wang, Wing Tat Leung

In this work, we present an efficient approach to solve nonlinear high-contrast multiscale diffusion problems. We incorporate the explicit-implicit-null (EIN) method to separate th…

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.NA2023

Multicontinuum homogenization. General theory and applications

E. Chung, Y. Efendiev, J. Galvis +1

In this paper, we discuss a general framework for multicontinuum homogenization. Multicontinuum models are widely used in many applications and some derivations for these models ar…

math.NA2023

Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE

Zecheng Zhang, Christian Moya, Wing Tat Leung +2

We present a new framework for computing fine-scale solutions of multiscale Partial Differential Equations (PDEs) using operator learning tools. Obtaining fine-scale solutions of m…

math.NA2023

A discretization-invariant extension and analysis of some deep operator networks

Zecheng Zhang, Wing Tat Leung, Hayden Schaeffer

We present a generalized version of the discretization-invariant neural operator and prove that the network is a universal approximation in the operator sense. Moreover, by incorpo…