Jingrun Chen

According to our database, Jingrun Chen authored at least 36 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Solving multiscale elliptic problems by sparse radial basis function neural networks.

Zhiwen Wang, Minxin Chen, Jingrun Chen

J. Comput. Phys., November, 2023

Micromagnetics simulations and phase transitions of ferromagnetics with Dzyaloshinskii-Moriya interaction.

Panchi Li, Shuting Gu, Jin Lan, Jingrun Chen, Weiqing Ren, Rui Du

Commun. Nonlinear Sci. Numer. Simul., November, 2023

Convergence analysis of the element-free Galerkin method for plate bending problem.

Huanhuan Ma, Jingrun Chen, Jiansong Deng

Comput. Math. Appl., April, 2023

IMEX-RK methods for Landau-Lifshitz equation with arbitrary damping.

Yan Gui, Cheng Wang, Jingrun Chen

CoRR, 2023

The Random Feature Method for Solving Interface Problems.

Xurong Chi, Jingrun Chen, Zhouwang Yang

CoRR, 2023

The Random Feature Method for Time-dependent Problems.

Jingrun Chen, Weinan E, Yixin Luo

CoRR, 2023

Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations.

Yu Cao, Jingrun Chen, Yixin Luo, Xiang Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations^*.

Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou

Proceedings of the IEEE International Conference on Big Data, 2023

2022

On the Multiscale Landau-Lifshitz-Gilbert Equation: Two-Scale Convergence and Stability Analysis.

Jingrun Chen, Rui Du, Zetao Ma, Zhiwei Sun, Lei Zhang

Multiscale Model. Simul., March, 2022

MIM: A deep mixed residual method for solving high-order partial differential equations.

Liyao Lyu, Zhen Zhang, Minxin Chen, Jingrun Chen

J. Comput. Phys., 2022

A second-order numerical method for Landau-Lifshitz-Gilbert equation with large damping parameters.

Yongyong Cai, Jingrun Chen, Cheng Wang, Changjian Xie

J. Comput. Phys., 2022

Convergence analysis of an implicit finite difference method for the inertial Landau-Lifshitz-Gilbert equation.

Jingrun Chen, Panchi Li, Cheng Wang

CoRR, 2022

Bridging Traditional and Machine Learning-based Algorithms for Solving PDEs: The Random Feature Method.

Jingrun Chen, Xurong Chi, Weinan E, Zhouwang Yang

CoRR, 2022

2021

A framework of the finite element solution of the Landau-Lifshitz-Gilbert equation on tetrahedral meshes.

Lei Yang, Jingrun Chen, Guanghui Hu

J. Comput. Phys., 2021

Convergence Analysis of A Second-order Accurate, Linear Numerical Scheme for The Landau-Lifshitz Equation with Large Damping Parameters.

Yongyong Cai, Jingrun Chen, Cheng Wang, Changjian Xie

CoRR, 2021

A second-order semi-implicit method for the inertial Landau-Lifshitz-Gilbert equation.

Panchi Li, Lei Yang, Jin Lan, Rui Du, Jingrun Chen

CoRR, 2021

A Deep Learning Based Discontinuous Galerkin Method for Hyperbolic Equations with Discontinuous Solutions and Random Uncertainties.

Jingrun Chen, Shi Jin, Liyao Lyu

CoRR, 2021

Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations.

Keke Wu, Rui Du, Jingrun Chen, Xiang Zhou

CoRR, 2021

A Gauss-Seidel projection method with the minimal number of updates for stray field in micromagnetic simulations.

Panchi Li, Zetao Ma, Rui Du, Jingrun Chen

CoRR, 2021

A Machine-Learning Method for Time-Dependent Wave Equations over Unbounded Domains.

Changjian Xie, Jingrun Chen, Xiantao Li

CoRR, 2021

2020

A Multiscale Reduced Basis Method for the Schrödinger Equation With Multiscale and Random Potentials.

Jingrun Chen, Dingjiong Ma, Zhiwen Zhang

Multiscale Model. Simul., 2020

Second-order semi-implicit projection methods for micromagnetics simulations.

Changjian Xie, Carlos J. García-Cervera, Cheng Wang, Zhennan Zhou, Jingrun Chen

J. Comput. Phys., 2020

Two improved Gauss-Seidel projection methods for Landau-Lifshitz-Gilbert equation.

Panchi Li, Changjian Xie, Rui Du, Jingrun Chen, Xiao-Ping Wang

J. Comput. Phys., 2020

Enforcing exact boundary and initial conditions in the deep mixed residual method.

Liyao Lyu, Keke Wu, Rui Du, Jingrun Chen

CoRR, 2020

A comprehensive study of boundary conditions when solving PDEs by DNNs.

Jingrun Chen, Rui Du, Keke Wu

CoRR, 2020

2019

A Multiscale Finite Element Method for the Schrödinger Equation with Multiscale Potentials.

Jingrun Chen, Dingjiong Ma, Zhiwen Zhang

SIAM J. Sci. Comput., 2019

Estimation of exciton diffusion lengths of organic semiconductors in random domains.

Jingrun Chen, Ling Lin, Zhiwen Zhang, Xiang Zhou

J. Comput. Phys., 2019

Numerical methods for antiferromagnetics.

Panchi Li, Jingrun Chen, Rui Du, Xiao-Ping Wang

CoRR, 2019

Quasi-Monte Carlo sampling for machine-learning partial differential equations.

Jingrun Chen, Rui Du, Panchi Li, Liyao Lyu

CoRR, 2019

Connecting exciton diffusion with surface roughness via deep learning.

Liyao Lyu, Zhiwen Zhang, Jingrun Chen

CoRR, 2019

Efficient multiscale methods for the semiclassical Schrödinger equation with time-dependent potentials.

Jingrun Chen, Sijing Li, Zhiwen Zhang

CoRR, 2019

2017

An efficient multigrid strategy for large-scale molecular mechanics optimization.

Jingrun Chen, Carlos J. García-Cervera

J. Comput. Phys., 2017

2016

Analysis of the divide-and-conquer method for electronic structure calculations.

Jingrun Chen, Jianfeng Lu

Math. Comput., 2016

On a Schrödinger-Landau-Lifshitz System: Variational Structure and Numerical Methods.

Jingrun Chen, Jian-Guo Liu, Zhennan Zhou

Multiscale Model. Simul., 2016

2015

A Mean-Field Model for Spin Dynamics in Multilayered Ferromagnetic Media.

Jingrun Chen, Carlos J. García-Cervera, Xu Yang

Multiscale Model. Simul., 2015

An Atomistic/Continuum Coupling Method Using Enriched Bases.

Jingrun Chen, Carlos J. García-Cervera, Xiantao Li

Multiscale Model. Simul., 2015