papers

Publications (28)

math.NA2014

Stability of a force-based hybrid method with planar sharp interface

Jianfeng Lu, Pingbing Ming

We study a force-based hybrid method that couples atomistic model with Cauchy-Born elasticity model with sharp transition interface. We identify stability conditions that guarantee…

math.NA2024

The TRUNC element in any dimension and application to a modified Poisson equation

Hongliang Li, Pingbing Ming, Yinghong Zhou

We introduce a novel TRUNC finite element in n dimensions, encompassing the traditional TRUNC triangle as a particular instance. By establishing the weak continuity identity, we id…

math.NA2023

Error Estimate of Multiscale Finite Element Method for Periodic Media Revisited

Pingbing Ming, Siqi Song

We derive the optimal energy error estimate for multiscale finite element method with oversampling technique applying to elliptic system with rapidly oscillating periodic coefficie…

math.NA2025

Sharp uniform approximation for spectral Barron functions by deep neural networks

Yulei Liao, Pingbing Ming, Hao Yu

This work explores the neural network approximation capabilities for functions within the spectral Barron space , where is the smoothness index. We demonstrate t…

math.NA2025

Heterogeneous multiscale methods for fourth-order singular perturbations

Yulei Liao, Pingbing Ming

We develop a numerical homogenization method for fourth-order singular perturbation problems within the framework of heterogeneous multiscale method. These problems arise from hete…

math.NA2012

On the effect of ghost force in the quasicontinuum method: dynamic problems in one dimension

Xiantao Li, Pingbing Ming

Numerical error induced by the "ghost forces" in the quasicontinuum method is studied in the context of dynamic problems. The error in the ({W}^{1,\infty}) norm is analyzed for the…

math.NA2021

Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions

Yulei Liao, Pingbing Ming

We propose a new method to deal with the essential boundary conditions encountered in the deep learning-based numerical solvers for partial differential equations. The trial functi…

math.NA2017

Two robust nonconforming Helements for linear strain gradient elasticity

Hongliang Li, Pingbing Ming, Zhong-ci Shi

We propose two nonconforming finite elements to approximate a boundary value problem arising from strain gradient elasticity, which is a higher-order perturbation of the linearized…

math.NA2020

An Efficient Online-Offline Method for Elliptic Homogenization Problems

Yufang Huang, Pingbing Ming, Siqi Song

We present a new numerical method for solving the elliptic homogenization problem. The main idea is that the missing effective matrix is reconstructed by solving the local least-sq…

math.NA2024

Generalization Error Estimates of Machine Learning Methods for Solving High Dimensional Schrödinger Eigenvalue Problems

Hao Yu, Yixiao Guo, Pingbing Ming

We propose a machine learning method for computing eigenvalues and eigenfunctions of the Schrödinger operator on a -dimensional hypercube with Dirichlet boundary conditions. Th…

math.NA2018

An Arbitrary-Order Discontinuous Galerkin Method with One Unknown Per Element

Ruo Li, Pingbing Ming, Zhiyuan Sun +1

We propose an arbitrary-order discontinuous Galerkin method for second-order elliptic problem on general polygonal mesh with only one degree of freedom per element. This is achieve…

math.NA2024

A pre-training deep learning method for simulating the large bending deformation of bilayer plates

Xiang Li, Yulei Liao, Pingbing Ming

We propose a deep learning based method for simulating the large bending deformation of bilayer plates. Inspired by the greedy algorithm, we propose a pre-training method on a seri…

math.NA2017

A Concurrent Global-local Numerical Method for Multiscale PDEs

Yufang Huang, Jianfeng Lu, Pingbing Ming

We present a new hybrid numerical method for multiscale partial differential equations, which simultaneously captures the global macroscopic information and resolves the local micr…

math.NA2025

Spectral Barron space for deep neural network approximation

Yulei Liao, Pingbing Ming

We prove the sharp embedding between the spectral Barron space and the Besov space with embedding constants independent of the input dimension. Given the spectral Barron space as t…

math.NA2026

A concurrent global-local numerical method for multiscale parabolic equations

Yulei Liao, Yang Liu, Pingbing Ming

This paper presents a concurrent global-local numerical method for solving multiscale parabolic equations in divergence form. The proposed method employs hybrid coefficient to prov…

math.NA2025

Spectral connvergece of random feature method in one dimension

Pingbing Ming, Hao Yu

Among the various machine learning methods solving partial differential equations, the Random Feature Method (RFM) stands out due to its accuracy and efficiency. In this paper, we…

math.AP2017

From atomistic model to the Peierls-Nabarro model with -surface for dislocations

Tao Luo, Pingbing Ming, Yang Xiang

The Peierls-Nabarro (PN) model for dislocations is a hybrid model that incorporates the atomistic information of the dislocation core structure into the continuum theory. In this p…

math.NA2025

A broken Hardy inequality on finite element space and application to strain gradient elasticity

Yulei Liao, Pingbing Ming

We illustrate a broken Hardy inequality on discontinuous finite element spaces, blowing up with a logarithmic factor with respect to the meshes size. This is motivated by numerical…

math.NA2013

A study on the quasiconinuum approximations of a one-dimensional fracture model

Xiantao Li, Pingbing Ming

We study three quasicontinuum approximations of a lattice model for crack propagation. The influence of the approximation on the bifurcation patterns is investigated. The estimate…

math.NA2021

H Korn's Inequality and the Nonconforming Elements for The Strain Gradient Elastic Model

Hongliang Li, Pingbing Ming, Huiyu Wang

We establish a new H2 Korn's inequality and its discrete analog, which greatly simplify the construction of nonconforming elements for a linear strain gradient elastic model. The S…

math.NA2018

A Discontinuous Galerkin Method by Patch Reconstruction for Biharmonic Problem

Ruo Li, Pingbing Ming, Zhiyuan Sun +2

We propose a new discontinuous Galerkin method based on the least-squares patch reconstruction for the biharmonic problem. We prove the optimal error estimate of the proposed metho…

math.NA2011

Convergence of a force-based hybrid method for atomistic and continuum models in three dimension

Jianfeng Lu, Pingbing Ming

We study a force-based hybrid method that couples atomistic models with nonlinear Cauchy-Born elasticity models. We show that the proposed scheme converges quadratically to the sol…

math.NA2018

New Nonconforming Elements for Linear Strain Gradient Elastic Model

Hongliang Li, Pingbing Ming, Zhong-ci Shi

Based on a new HKorn's inequality, we propose new nonconforming elements for the linear strain gradient elastic model. The first group of elements are Hconforming but H$^…

math.NA2012

Ghost Force Influence of a Quasicontinuum Method in Two Dimension

Jingrun Chen, Pingbing Ming

We derive an analytical expression for the solution of a two-dimensional quasicontinuum method with a planar interface. The expression is used to prove that the ghost force may lea…

math.NA2023

A Deep Learning Method for Computing Eigenvalues of the Fractional Schrödinger Operator

Yixiao Guo, Pingbing Ming

We present a novel deep learning method for computing eigenvalues of the fractional Schrödinger operator. Our approach combines a newly developed loss function with an innovative…

math.AP2025

Barron regularity of many particle Schrödinger eigenfunctions

Pingbing Ming, Hao Yu

This work investigates the regularity of Schrödinger eigenfunctions and the solvability of Schrödinger equations in spectral Barron space , wher…

math.NA2023

Taylor-Hood like finite elements for nearly incompressible strain gradient elasticity problems

Yulei Liao, Pingbing Ming, Yun Xu

We propose a family of mixed finite elements that are robust for the nearly incompressible strain gradient model, which is a fourth-order singular perturbed elliptic system. The el…

math.NA2022

A Nitsche Hybrid multiscale method with non-matching grids

Pingbing Ming, Siqi Song

We propose a Nitsche method for multiscale partial differential equations, which retrieves the macroscopic information and the local microscopic information at one stroke. We prove…