1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.NA2026
Physics-informed neural networks for solving two-phase flow problems with moving interfaces
Qijia Zhai, Pengtao Sun, Xiaoping Xie +2
In this paper, a meshfree method using physics-informed neural networks (PINNs) is developed for solving two-phase flow problems with moving interfaces, where two immiscible fluids…
math.NA2023
Smoothing analysis of two-color distributive relaxation for solving 2D Stokes flow by multigrid method
Xingwen Zhu, Lixiang Zhang
Smoothing properties of two-color distributive relaxation for solving a two-dimensional (2D) Stokes flow by multigrid method are theoretically investigated by using the local Fouri…
math.NA2022★ 1 cited
A Deep Neural Network/Meshfree Method for Solving Dynamic Two-phase Interface Problems
Xingwen Zhu, Xiaozhe Hu, Pengtao Sun
In this paper, a meshfree method using the deep neural network (DNN) approach is developed for solving two kinds of dynamic two-phase interface problems governed by different dynam…