| 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 | 51 | 2020 |
| 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 | 42 | 2020 |
| 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 | 38 | 2019 |
| 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 | 37 | 2019 |
| 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 | 24 | 2020 |
| 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 | 23 | 2020 |
| 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 | 14 | 2022 |
| Cell-average based neural network method for hyperbolic and parabolic partial differential equations C Qiu, J Yan arXiv preprint arXiv:2107.00813, 2021 | 11 | 2021 |
| 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 | 9 | 2021 |
| 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 | 8 | 2022 |
| 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 | 6 | 2022 |
| 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 | 4 | 2023 |
| 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 | 3 | 2021 |
| Decoupling methods for the time-dependent Navier-Stokes-Darcy interface model C Qiu Missouri University of Science and Technology, 2019 | 3 | 2019 |
| 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 | 1 | 2023 |
| 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 |
