197 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Academy of Mathematics and Systems ScienceCN106 papers
- Chinese Academy of SciencesCN96 papers
- University of Chinese Academy of SciencesCN35 papers
- Institute of Modern PhysicsCN6 papers
- Institute of PhysicsPL6 papers
- Northwest UniversityCN6 papers
- Peking UniversityCN6 papers
- Capital Normal UniversityCN5 papers
- Collaborative Innovation Center of Quantum MatterCN5 papers
- Southern University of Science and TechnologyCN5 papers
- University of HoustonUS5 papers
- RWTH Aachen UniversityDE4 papers
5 papers · 2 filters
A trace finite element method for PDEs on evolving surfaces
Maxim A. Olshanskii, Xianmin Xu
In this paper, we propose an approach for solving PDEs on evolving surfaces using a combination of the trace finite element method and a fast marching method. The numerical approac…
A Decoupling Two-Grid Method for the Steady-State Poisson-Nernst-Planck Equations
Ying Yang, Benzhuo Lu, Yan Xie
Poisson-Nernst-Planck equations are widely used to describe the electrodiffusion of ions in a solvated biomolecular system. Two kinds of two-grid finite element algorithms are prop…
Computable Error Estimates for Ground State Solution of Bose-Einstein Condensates
Hehu Xie, Manting Xie
In this paper, we propose a computable error estimate of the Gross-Pitaevskii equation for ground state solution of Bose-Einstein condensates by general conforming finite element m…
An efficient threshold dynamics method for wetting on rough surfaces
Xianmin Xu, Dong Wang, Xiaoping Wang
The threshold dynamics method developed by Merriman, Bence and Osher (MBO) is an efficient method for simulating the motion by mean curvature flow when the interface is away from t…
Variable Total Variation Regularization for Backward Time-Space Fractional Diffusion Problem
Junxiong Jia, Jigen Peng, Jinghuai Gao +1
In this paper, we consider a backward problem for a time-space fractional diffusion process. For this problem, we propose to construct the initial data by minimizing data residual…