关注
Changxin Qiu
Changxin Qiu
Associate Professor, Ningbo University
在 nbu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
A domain decomposition method for the time-dependent Navier-Stokes-Darcy model with Beavers-Joseph interface condition and defective boundary condition
C Qiu, X He, J Li, Y Lin
Journal of Computational Physics 411, 109400, 2020
512020
An artificial compressibility ensemble algorithm for a stochastic Stokes‐Darcy model with random hydraulic conductivity and interface conditions
X He, N Jiang, C Qiu
International Journal for Numerical Methods in Engineering 121 (4), 712-739, 2020
422020
Coupled and decoupled stabilized mixed finite element methods for nonstationary dual‐porosity‐Stokes fluid flow model
MA Al Mahbub, X He, NJ Nasu, C Qiu, H Zheng
International Journal for Numerical Methods in Engineering 120 (6), 803-833, 2019
382019
An efficient ensemble algorithm for numerical approximation of stochastic Stokes–Darcy equations
N Jiang, C Qiu
Computer Methods in Applied Mechanics and Engineering 343, 249-275, 2019
372019
A generalized finite difference method for solving elliptic interface problems
Y Xing, L Song, X He, C Qiu
Mathematics and Computers in Simulation 178, 109-124, 2020
242020
A coupled multiphysics model and a decoupled stabilized finite element method for the closed-loop geothermal system
M Abdullah Al Mahbub, X He, NJ Nasu, C Qiu, Y Wang, H Zheng
SIAM Journal on Scientific Computing 42 (4), B951-B982, 2020
232020
Modeling and a Robin-type decoupled finite element method for dual-porosity–Navier–Stokes system with application to flows around multistage fractured horizontal wellbore
J Hou, D Hu, X He, C Qiu
Computer Methods in Applied Mechanics and Engineering 388, 114248, 2022
142022
Cell-average based neural network method for hyperbolic and parabolic partial differential equations
C Qiu, J Yan
arXiv preprint arXiv:2107.00813, 2021
112021
Third order positivity-preserving direct discontinuous Galerkin method with interface correction for chemotaxis Keller-Segel equations
C Qiu, Q Liu, J Yan
Journal of Computational Physics 433, 110191, 2021
92021
A multigrid multilevel Monte Carlo method for Stokes–Darcy model with random hydraulic conductivity and Beavers–Joseph condition
Z Yang, J Ming, C Qiu, M Li, X He
Journal of Scientific Computing 90 (2), 68, 2022
82022
Numerical analysis of a second order ensemble algorithm for numerical approximation of stochastic Stokes–Darcy equations
N Jiang, C Qiu
Journal of Computational and Applied Mathematics 406, 113934, 2022
62022
Mastering the Cahn–Hilliard equation and Camassa–Holm equation with cell-average-based neural network method
X Zhou, C Qiu, W Yan, B Li
Nonlinear Dynamics 111 (5), 4823-4846, 2023
42023
Accuracy and architecture studies of residual neural network solving ordinary differential equations
C Qiu, A Bendickson, J Kalyanapu, J Yan
arXiv preprint arXiv:2101.03583, 2021
32021
Decoupling methods for the time-dependent Navier-Stokes-Darcy interface model
C Qiu
Missouri University of Science and Technology, 2019
32019
Accuracy and architecture studies of residual neural network method for ordinary differential equations
C Qiu, A Bendickson, J Kalyanapu, J Yan
Journal of Scientific Computing 95 (2), 50, 2023
12023
Advanced Physics-informed neural networks for numerical approximation of the coupled Schrödinger-KdV equation
Q Zhang, C Qiu, J Hou, W Yan
Communications in Nonlinear Science and Numerical Simulation, 108229, 2024
2024
Cell-Average Based Neural Network Method for Hunter-Saxton Equations
C Zhang, C Qiu, X Zhou, X He
ADVANCES IN APPLIED MATHEMATICS AND MECHANICS, 2024
2024
The cell-average based neural network for numerical approximation of the nonlinear Schrödinger equation
D Hu, C Qiu, B Yang, B Li
2023
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