6 citations · 8 across the 3 of their papers we have counts for
3 papers
math.NA2022
A Deep Learning Galerkin Method for the Closed-Loop Geothermal System
Wen Zhang, Jian Li
There has been an arising trend of adopting deep learning methods to study partial differential equations (PDEs). This article is to propose a Deep Learning Galerkin Method (DGM) f…
math.NA2022★ 6 cited
CDNNs: The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems
Jing Yue, Jian Li, Wen Zhang
In this article, we present an efficient deep learning method called coupled deep neural networks (CDNNs) for coupled physical problems. Our method compiles the interface condition…
math.NA2020★ 2 cited
The Deep Learning Galerkin Method for the General Stokes Equations
Jian Li, Jing Yue, Wen Zhang +1
The finite element method, finite difference method, finite volume method and spectral method have achieved great success in solving partial differential equations. However, the hi…