14 citations · 54 across the 34 of their papers we have counts for
18 papers · 1 filter
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…
Locking free staggered DG method for the Biot system of poroelasticity on general polygonal meshes
Lina Zhao, Eric Chung, Eun-Jae Park
In this paper we propose and analyze a staggered discontinuous Galerkin method for a five-field formulation of the Biot system of poroelasticity on general polygonal meshes. Elasti…
Constraint energy minimization generalized multiscale finite element method in mixed formulation for parabolic equations
Yiran Wang, Eric Chung, Lina Zhao
In this paper, we develop the constraint energy minimization generalized multiscale finite element method (CEM-GMsFEM) in mixed formulation applied to parabolic equations with hete…
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…
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…
A uniformly robust staggered DG method for the unsteady Darcy-Forchheimer-Brinkman problem
Lina Zhao, Ming Fai Lam, Eric Chung
In this paper we propose and analyze a uniformly robust staggered DG method for the unsteady Darcy-Forchheimer-Brinkman problem. Our formulation is based on velocity gradient-veloc…