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ORCIDJingrun Chen
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2020 – today
- 2024
[j20]Huanhuan Ma
, Jingrun Chen, Jiansong Deng:
Error analysis of the element-free Galerkin method for a nonlinear plate problem. Comput. Math. Appl. 163: 56-65 (2024)- [j19]Huanhuan Ma, Jingrun Chen, Jiansong Deng:
Analysis of the dynamic response for Kirchhoff plates by the element-free Galerkin method. J. Comput. Appl. Math. 451: 116093 (2024) - [j18]Jingrun Chen, Panchi Li, Cheng Wang:
Convergence Analysis of an Implicit Finite Difference Method for the Inertial Landau-Lifshitz-Gilbert Equation. J. Sci. Comput. 101(2): 48 (2024) - [c3]Ling Lin, Congcong Zhu, Lin Zhou, Jingrun Chen:
Toward Quantifiable Face age Transformation. ICASSP 2024: 2600-2604 - [i27]Ran Bi, Jingrun Chen, Weibing Deng:
XI-DeepONet: An operator learning method for elliptic interface problems. CoRR abs/2407.15043 (2024) - [i26]Yameng Zhu, Jingrun Chen, Weibing Deng:
R-adaptive DeepONet: Learning Solution Operators for PDEs with Discontinuous Solutions Using an R-adaptive Strategy. CoRR abs/2408.04157 (2024) - [i25]Jingrun Chen, Longze Tan:
High-precision randomized iterative methods for the random feature method. CoRR abs/2409.15818 (2024) - 2023
- [j17]Huanhuan Ma, Jingrun Chen, Jiansong Deng:
Convergence analysis of the element-free Galerkin method for plate bending problem. Comput. Math. Appl. 136: 71-79 (2023) - [j16]Panchi Li, Shuting Gu, Jin Lan, Jingrun Chen, Weiqing Ren, Rui Du:
Micromagnetics simulations and phase transitions of ferromagnetics with Dzyaloshinskii-Moriya interaction. Commun. Nonlinear Sci. Numer. Simul. 126: 107512 (2023) - [j15]Zhiwen Wang, Minxin Chen, Jingrun Chen:
Solving multiscale elliptic problems by sparse radial basis function neural networks. J. Comput. Phys. 492: 112452 (2023) - [c2]Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou:
Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations*. IEEE Big Data 2023: 966-975 - [c1]Yu Cao, Jingrun Chen, Yixin Luo, Xiang Zhou:
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations. NeurIPS 2023 - [i24]Panchi Li, Shuting Gu, Jin Lan, Jingrun Chen, Weiqing Ren, Rui Du:
Micromagnetics simulations and phase transitions of ferromagnetics with Dzyaloshinskii-Moriya interaction. CoRR abs/2304.05789 (2023) - [i23]Jingrun Chen, Weinan E, Yixin Luo:
The Random Feature Method for Time-dependent Problems. CoRR abs/2304.06913 (2023) - [i22]Yu Cao, Jingrun Chen, Yixin Luo, Xiang Zhou:
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations. CoRR abs/2306.02063 (2023) - [i21]Xurong Chi, Jingrun Chen, Zhouwang Yang:
The Random Feature Method for Solving Interface Problems. CoRR abs/2308.04330 (2023) - [i20]Zhiwen Wang, Minxin Chen, Jingrun Chen:
Solving multiscale elliptic problems by sparse radial basis function neural networks. CoRR abs/2309.03107 (2023) - [i19]Yan Gui, Cheng Wang, Jingrun Chen:
IMEX-RK methods for Landau-Lifshitz equation with arbitrary damping. CoRR abs/2312.15654 (2023) - 2022
- [j14]Yongyong Cai, Jingrun Chen, Cheng Wang, Changjian Xie:
A second-order numerical method for Landau-Lifshitz-Gilbert equation with large damping parameters. J. Comput. Phys. 451: 110831 (2022) - [j13]Liyao Lyu, Zhen Zhang, Minxin Chen, Jingrun Chen:
MIM: A deep mixed residual method for solving high-order partial differential equations. J. Comput. Phys. 452: 110930 (2022) - [j12]Jingrun Chen, Rui Du, Zetao Ma, Zhiwei Sun, Lei Zhang:
On the Multiscale Landau-Lifshitz-Gilbert Equation: Two-Scale Convergence and Stability Analysis. Multiscale Model. Simul. 20(1): 835-856 (2022) - [i18]Jingrun Chen, Xurong Chi, Weinan E, Zhouwang Yang:
Bridging Traditional and Machine Learning-based Algorithms for Solving PDEs: The Random Feature Method. CoRR abs/2207.13380 (2022) - [i17]Jingrun Chen, Panchi Li, Cheng Wang:
Convergence analysis of an implicit finite difference method for the inertial Landau-Lifshitz-Gilbert equation. CoRR abs/2209.02914 (2022) - 2021
- [j11]Lei Yang, Jingrun Chen, Guanghui Hu:
A framework of the finite element solution of the Landau-Lifshitz-Gilbert equation on tetrahedral meshes. J. Comput. Phys. 431: 110142 (2021) - [i16]Changjian Xie, Jingrun Chen, Xiantao Li:
A Machine-Learning Method for Time-Dependent Wave Equations over Unbounded Domains. CoRR abs/2101.05807 (2021) - [i15]Panchi Li, Zetao Ma, Rui Du, Jingrun Chen:
A Gauss-Seidel projection method with the minimal number of updates for stray field in micromagnetic simulations. CoRR abs/2101.08574 (2021) - [i14]Keke Wu, Rui Du, Jingrun Chen, Xiang Zhou:
Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations. CoRR abs/2103.11069 (2021) - [i13]Jingrun Chen, Shi Jin, Liyao Lyu:
A Deep Learning Based Discontinuous Galerkin Method for Hyperbolic Equations with Discontinuous Solutions and Random Uncertainties. CoRR abs/2107.01127 (2021) - [i12]Panchi Li, Lei Yang, Jin Lan, Rui Du, Jingrun Chen:
A second-order semi-implicit method for the inertial Landau-Lifshitz-Gilbert equation. CoRR abs/2108.03060 (2021) - [i11]Yongyong Cai, Jingrun Chen, Cheng Wang, Changjian Xie:
Convergence Analysis of A Second-order Accurate, Linear Numerical Scheme for The Landau-Lifshitz Equation with Large Damping Parameters. CoRR abs/2111.07537 (2021) - 2020
- [j10]Panchi Li, Changjian Xie, Rui Du, Jingrun Chen, Xiao-Ping Wang:
Two improved Gauss-Seidel projection methods for Landau-Lifshitz-Gilbert equation. J. Comput. Phys. 401 (2020) - [j9]Changjian Xie, Carlos J. García-Cervera, Cheng Wang, Zhennan Zhou, Jingrun Chen:
Second-order semi-implicit projection methods for micromagnetics simulations. J. Comput. Phys. 404 (2020) - [j8]Jingrun Chen, Dingjiong Ma, Zhiwen Zhang:
A Multiscale Reduced Basis Method for the Schrödinger Equation With Multiscale and Random Potentials. Multiscale Model. Simul. 18(4): 1409-1434 (2020) - [i10]Jingrun Chen, Rui Du, Keke Wu:
A comprehensive study of boundary conditions when solving PDEs by DNNs. CoRR abs/2005.04554 (2020) - [i9]Liyao Lyu, Zhen Zhang, Minxin Chen, Jingrun Chen:
MIM: A deep mixed residual method for solving high-order partial differential equations. CoRR abs/2006.04146 (2020) - [i8]Liyao Lyu, Keke Wu, Rui Du, Jingrun Chen:
Enforcing exact boundary and initial conditions in the deep mixed residual method. CoRR abs/2008.01491 (2020)
2010 – 2019
- 2019
- [j7]Jingrun Chen, Ling Lin, Zhiwen Zhang, Xiang Zhou:
Estimation of exciton diffusion lengths of organic semiconductors in random domains. J. Comput. Phys. 376: 894-912 (2019) - [j6]Jingrun Chen, Dingjiong Ma, Zhiwen Zhang:
A Multiscale Finite Element Method for the Schrödinger Equation with Multiscale Potentials. SIAM J. Sci. Comput. 41(5): B1115-B1136 (2019) - [i7]Jingrun Chen, Dingjiong Ma, Zhiwen Zhang:
A multiscale reduced basis method for Schrödinger equation with multiscale and random potentials. CoRR abs/1907.00349 (2019) - [i6]Changjian Xie, Carlos J. García-Cervera, Cheng Wang, Zhennan Zhou, Jingrun Chen:
Second-order semi-implicit projection methods for micromagnetics simulations. CoRR abs/1907.02358 (2019) - [i5]Panchi Li, Changjian Xie, Rui Du, Jingrun Chen, Xiao-Ping Wang:
Two improved Gauss-Seidel projection methods for Landau-Lifshitz-Gilbert equation. CoRR abs/1907.11853 (2019) - [i4]Jingrun Chen, Sijing Li, Zhiwen Zhang:
Efficient multiscale methods for the semiclassical Schrödinger equation with time-dependent potentials. CoRR abs/1909.07203 (2019) - [i3]Liyao Lyu, Zhiwen Zhang, Jingrun Chen:
Connecting exciton diffusion with surface roughness via deep learning. CoRR abs/1910.14209 (2019) - [i2]Jingrun Chen, Rui Du, Panchi Li, Liyao Lyu:
Quasi-Monte Carlo sampling for machine-learning partial differential equations. CoRR abs/1911.01612 (2019) - [i1]Panchi Li, Jingrun Chen, Rui Du, Xiao-Ping Wang:
Numerical methods for antiferromagnetics. CoRR abs/1911.01717 (2019) - 2017
- [j5]Jingrun Chen, Carlos J. García-Cervera:
An efficient multigrid strategy for large-scale molecular mechanics optimization. J. Comput. Phys. 342: 29-42 (2017) - 2016
- [j4]Jingrun Chen, Jian-Guo Liu, Zhennan Zhou:
On a Schrödinger-Landau-Lifshitz System: Variational Structure and Numerical Methods. Multiscale Model. Simul. 14(4): 1463-1487 (2016) - [j3]Jingrun Chen, Jianfeng Lu:
Analysis of the divide-and-conquer method for electronic structure calculations. Math. Comput. 85(302): 2919-2938 (2016) - 2015
- [j2]Jingrun Chen, Carlos J. García-Cervera, Xu Yang:
A Mean-Field Model for Spin Dynamics in Multilayered Ferromagnetic Media. Multiscale Model. Simul. 13(2): 551-570 (2015) - [j1]Jingrun Chen, Carlos J. García-Cervera, Xiantao Li:
An Atomistic/Continuum Coupling Method Using Enriched Bases. Multiscale Model. Simul. 13(3): 766-789 (2015)
Coauthor Index
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