Changxin Qiu
Orcid: 0000-0002-7559-7441
According to our database1,
Changxin Qiu authored at least 15 papers
between 2020 and 2026.
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Bibliography
2026
High-order, long-time stable and parallel decoupled GBDF<i>k</i> SAV ensemble schemes for the Navier-Stokes-Darcy flow with random hydraulic conductivity tensors.
CoRR, May, 2026
ViT-K: A Few-Shot Learning Model for Coupled Fluid-Porous Media Flows with Interface Conditions.
CoRR, May, 2026
2025
J. Comput. Phys., 2025
Laplace based physical informed neural network for the time-fractional partial differential equations.
Int. J. Comput. Math., 2025
2024
Direct Discontinuous Galerkin Method with Interface Correction for the Keller-Segel Chemotaxis Model.
J. Sci. Comput., October, 2024
Advanced Physics-informed neural networks for numerical approximation of the coupled Schrödinger-KdV equation.
Commun. Nonlinear Sci. Numer. Simul., 2024
2023
Accuracy and Architecture Studies of Residual Neural Network Method for Ordinary Differential Equations.
J. Sci. Comput., May, 2023
2022
A Multigrid Multilevel Monte Carlo Method for Stokes-Darcy Model with Random Hydraulic Conductivity and Beavers-Joseph Condition.
J. Sci. Comput., 2022
Numerical analysis of a second order ensemble algorithm for numerical approximation of stochastic Stokes-Darcy equations.
J. Comput. Appl. Math., 2022
2021
Third order positivity-preserving direct discontinuous Galerkin method with interface correction for chemotaxis Keller-Segel equations.
J. Comput. Phys., 2021
Cell-average based neural network method for hyperbolic and parabolic partial differential equations.
CoRR, 2021
Accuracy and Architecture Studies of Residual Neural Network solving Ordinary Differential Equations.
CoRR, 2021
2020
A Coupled Multiphysics Model and a Decoupled Stabilized Finite Element Method for the Closed-Loop Geothermal System.
SIAM J. Sci. Comput., 2020
Math. Comput. Simul., 2020
A domain decomposition method for the time-dependent Navier-Stokes-Darcy model with Beavers-Joseph interface condition and defective boundary condition.
J. Comput. Phys., 2020