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Qian Wang
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Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem
Q Wang, JS Hesthaven, D Ray
Journal of computational physics 384, 289-307, 2019
2412019
Physics-informed machine learning for reduced-order modeling of nonlinear problems
W Chen, Q Wang, JS Hesthaven, C Zhang
Journal of Computational Physics 446, 110666, 2021
1422021
Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism
Q Wang, N Ripamonti, JS Hesthaven
Journal of Computational Physics 410, 109402, 2020
1082020
Compact high order finite volume method on unstructured grids III: Variational reconstruction
Q Wang, YX Ren, J Pan, W Li
Journal of Computational physics 337, 1-26, 2017
962017
Compact high order finite volume method on unstructured grids II: Extension to two-dimensional Euler equations
Q Wang, YX Ren, W Li
Journal of Computational Physics 314, 883-908, 2016
632016
Compact high order finite volume method on unstructured grids I: Basic formulations and one-dimensional schemes
Q Wang, YX Ren, W Li
Journal of Computational Physics 314, 863-882, 2016
582016
Conservative model order reduction for fluid flow
BM Afkham, N Ripamonti, Q Wang, JS Hesthaven
Quantification of Uncertainty: Improving Efficiency and Technology: QUIET …, 2020
222020
A p-weighted limiter for the discontinuous Galerkin method on one-dimensional and two-dimensional triangular grids
W Li, Q Wang, YX Ren
Journal of Computational Physics 407, 109246, 2020
182020
High-order compact finite volume methods on unstructured grids with adaptive mesh refinement for solving inviscid and viscous flows
J Pan, Q Wang, Y Zhang, YX Ren
Chinese Journal of Aeronautics 31 (9), 1829-1841, 2018
172018
Compact high order finite volume method on unstructured grids IV: explicit multi-step reconstruction schemes on compact stencil
YS Zhang, YX Ren, Q Wang
Journal of Computational Physics 396, 161-192, 2019
122019
Coupling kinetic and continuum using data-driven maximum entropy distribution
M Sadr, Q Wang, MH Gorji
Journal of Computational Physics 444, 110542, 2021
112021
High-order compact finite volume schemes for solving the Reynolds averaged Navier-Stokes equations on the unstructured mixed grids with a large aspect ratio
QM Huang, YX Ren, Q Wang, JH Pan
Journal of Computational Physics 467, 111458, 2022
42022
Sequentially-reduced representation of artificial neural network to determine cardiovascular intrinsic frequencies
R Alavi, Q Wang, H Gorji, NM Pahlevan
bioRxiv, 2022.02. 14.480311, 2022
32022
High order finite volume schemes for solving the non-conservative convection equations on the unstructured grids
QM Huang, YX Ren, Q Wang
Journal of Scientific Computing 88 (2), 37, 2021
32021
A compact high order finite volume method for hyperbolic conservation laws on unstructured grids
Q Wang, YX Ren, W Li
22nd AIAA Computational Fluid Dynamics Conference, 3193, 2015
12015
Machine learning optimization of compact finite volume methods on unstructured grids
CB Zhou, Q Wang, YX Ren
Journal of Computational Physics 500, 112746, 2024
2024
A machine learning approach for computation of cardiovascular intrinsic frequencies
R Alavi, Q Wang, H Gorji, NM Pahlevan
Plos one 18 (10), e0285228, 2023
2023
Machine learning enhanced real-time aerodynamic forces prediction based on sparse pressure sensor inputs
J Duan, Q Wang, JS Hesthaven
arXiv preprint arXiv:2305.09199, 2023
2023
非结构网格紧致高精度有限体积方法
王乾
清华大学出版社, 2020
2020
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Articles 1–19