3 citations · 3 across the 3 of their papers we have counts for
3 papers
math.NA2025
Robust globally divergence-free HDG finite element method for steady thermally coupled incompressible MHD flow
Min Zhang, Zimo Zhu, Qijia Zhai +1
This paper develops an hybridizable discontinuous Galerkin (HDG) finite element method of arbitrary order for the steady thermally coupled incompressible Magnetohydrodynamics (MHD)…
physics.flu-dyn2023★ 3 cited
A comprehensive study on the accuracy and generalization of deep learning-generated chemical ODE integrators
Han Li, Ruixin Yang, Min Zhang +2
The application of deep neural networks (DNNs) holds considerable promise as a substitute for the direct integration of chemical source terms in combustion simulations. However, ch…
math.NA2023
Robust globally divergence-free Weak Galerkin finite element method for incompressible Magnetohydrodynamics flow
Min Zhang, Tong Zhang, Xiaoping Xie
This paper develops a weak Galerkin (WG) finite element method of arbitrary order for the steady incompressible Magnetohydrodynamics equations. The WG scheme uses piecewise polynom…