| 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 | 278 | 2019 |
| 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 | 194 | 2021 |
| 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 | 127 | 2020 |
| 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 | 103 | 2017 |
| 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 | 67 | 2016 |
| 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 | 60 | 2016 |
| Conservative model order reduction for fluid flow BM Afkham, N Ripamonti, Q Wang, JS Hesthaven Quantification of Uncertainty: Improving Efficiency and Technology: QUIET …, 2020 | 24 | 2020 |
| 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 | 20 | 2020 |
| 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 | 20 | 2018 |
| Coupling kinetic and continuum using data-driven maximum entropy distribution M Sadr, Q Wang, MH Gorji Journal of Computational Physics 444, 110542, 2021 | 14 | 2021 |
| 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 | 13 | 2019 |
| 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 | 9 | 2022 |
| 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 | 5 | 2021 |
| Machine learning optimization of compact finite volume methods on unstructured grids CB Zhou, Q Wang, YX Ren Journal of Computational Physics 500, 112746, 2024 | 4 | 2024 |
| 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 | 3 | 2022 |
| A Locally Divergence-Free Oscillation-Eliminating Discontinuous Galerkin Method for Ideal Magnetohydrodynamic Equations W Zeng, Q Wang arXiv preprint arXiv:2404.14274, 2024 | 2 | 2024 |
| Machine-Learning-Enhanced Real-Time Aerodynamic Forces Prediction Based on Sparse Pressure Sensor Inputs J Duan, Q Wang, JS Hesthaven AIAA Journal, 1-21, 2024 | 2 | 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 | 2 | 2023 |
| Sequentially-reduced artificial intelligence methodology for instantaneous determination of waveform intrinsic frequencies NM Pahlevan, RA Dehkordi, Q Wang, H Gorji US Patent App. 17/987,373, 2023 | 2 | 2023 |
| A general positivity-preserving algorithm for implicit high-order finite volume schemes solving the Euler and Navier-Stokes equations QM Huang, H Zhou, YX Ren, Q Wang Journal of Computational Physics 508, 112999, 2024 | 1 | 2024 |
Yu-Xin RenTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
