Jingrun Chen
Orcid: 0000-0001-9977-2892
According to our database1,
Jingrun Chen
authored at least 44 papers
between 2015 and 2025.
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Bibliography
2025
On the adaptive deterministic block Kaczmarz method with momentum for solving large-scale consistent linear systems.
J. Comput. Appl. Math., 2025
2024
Convergence Analysis of an Implicit Finite Difference Method for the Inertial Landau-Lifshitz-Gilbert Equation.
J. Sci. Comput., November, 2024
Analysis of the dynamic response for Kirchhoff plates by the element-free Galerkin method.
J. Comput. Appl. Math., 2024
CoRR, 2024
R-adaptive DeepONet: Learning Solution Operators for PDEs with Discontinuous Solutions Using an R-adaptive Strategy.
CoRR, 2024
Comput. Math. Appl., 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Solving multiscale elliptic problems by sparse radial basis function neural networks.
J. Comput. Phys., November, 2023
Micromagnetics simulations and phase transitions of ferromagnetics with Dzyaloshinskii-Moriya interaction.
Commun. Nonlinear Sci. Numer. Simul., November, 2023
Comput. Math. Appl., April, 2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations.
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<sup>*</sup>.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
On the Multiscale Landau-Lifshitz-Gilbert Equation: Two-Scale Convergence and Stability Analysis.
Multiscale Model. Simul., March, 2022
MIM: A deep mixed residual method for solving high-order partial differential equations.
J. Comput. Phys., 2022
A second-order numerical method for Landau-Lifshitz-Gilbert equation with large damping parameters.
J. Comput. Phys., 2022
Convergence analysis of an implicit finite difference method for the inertial Landau-Lifshitz-Gilbert equation.
CoRR, 2022
Bridging Traditional and Machine Learning-based Algorithms for Solving PDEs: The Random Feature Method.
CoRR, 2022
2021
A framework of the finite element solution of the Landau-Lifshitz-Gilbert equation on tetrahedral meshes.
J. Comput. Phys., 2021
Convergence Analysis of A Second-order Accurate, Linear Numerical Scheme for The Landau-Lifshitz Equation with Large Damping Parameters.
CoRR, 2021
A second-order semi-implicit method for the inertial Landau-Lifshitz-Gilbert equation.
CoRR, 2021
A Deep Learning Based Discontinuous Galerkin Method for Hyperbolic Equations with Discontinuous Solutions and Random Uncertainties.
CoRR, 2021
Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations.
CoRR, 2021
A Gauss-Seidel projection method with the minimal number of updates for stray field in micromagnetic simulations.
CoRR, 2021
CoRR, 2021
2020
A Multiscale Reduced Basis Method for the Schrödinger Equation With Multiscale and Random Potentials.
Multiscale Model. Simul., 2020
J. Comput. Phys., 2020
J. Comput. Phys., 2020
CoRR, 2020
2019
A Multiscale Finite Element Method for the Schrödinger Equation with Multiscale Potentials.
SIAM J. Sci. Comput., 2019
J. Comput. Phys., 2019
CoRR, 2019
Efficient multiscale methods for the semiclassical Schrödinger equation with time-dependent potentials.
CoRR, 2019
2017
J. Comput. Phys., 2017
2016
Math. Comput., 2016
On a Schrödinger-Landau-Lifshitz System: Variational Structure and Numerical Methods.
Multiscale Model. Simul., 2016
2015
Multiscale Model. Simul., 2015
Multiscale Model. Simul., 2015