1 citations · 2 across the 3 of their papers we have counts for
5 papers
Solving the linear transport equation by a deep neural network approach
Zheng Chen, Liu Liu, Lin Mu
In this paper, we study the linear transport model by adopting the deep learning method, in particular the deep neural network (DNN) approach. While the interest of using DNN to st…
A Pressure-Robust Weak Galerkin Finite Element Method for Navier-Stokes Equations
Lin Mu
In this paper, we develop and analyze a novel numerical scheme for the steady incompressible Navier-Stokes equations by the weak Galerkin methods. The divergence-preserving velocit…
A stabilizer free, pressure robust, and superconvergence weak Galerkin finite element method for the Stokes Equations on polytopal mesh
Lin Mu, Xiu Ye, Shangyou Zhang
In this paper, we propose a new stabilizer free and pressure robust WG method for the Stokes equations with super-convergence on polytopal mesh in the primary velocity-pressure for…
Optimal Control of Convection-Cooling and Numerical Implementation
Cuiyu He, Weiwei Hu, Lin Mu
This paper is concerned with the problem of enhancing convection-cooling via active control of the incompressible velocity field, described by a stationary diffusion-convection mod…
Accelerating linear solvers for Stokes problems with C++ metaprogramming
Denis Demidov, Lin Mu, Bin Wang
The efficient solution of large sparse saddle point systems is very important in computational fluid mechanics. The discontinuous Galerkin finite element methods have become increa…