Compact high order finite volume method on unstructured grids I: Basic formulations and one-dimensional schemes. - Qian Wang 021; Yu-Xin Ren 002; Wanai Li (J. Comput. Phys., 2016)

Compact high order finite volume method on unstructured grids II: Extension to two-dimensional Euler equations. - Qian Wang 021; Yu-Xin Ren 002; Wanai Li (J. Comput. Phys., 2016)

Compact high order finite volume method on unstructured grids III: Variational reconstruction. - Qian Wang 021; Yu-Xin Ren 002; Jianhua Pan; Wanai Li (J. Comput. Phys., 2017)

Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem. - Qian Wang 021; Jan S. Hesthaven; Deep Ray (J. Comput. Phys., 2019)

Compact high order finite volume method on unstructured grids IV: Explicit multi-step reconstruction schemes on compact stencil. - Yu-Si Zhang; Yu-Xin Ren 002; Qian Wang 021 (J. Comput. Phys., 2019)

A p-weighted limiter for the discontinuous Galerkin method on one-dimensional and two-dimensional triangular grids. - Wanai Li; Qian Wang 021; Yu-Xin Ren 002 (J. Comput. Phys., 2020)

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism. - Qian Wang 021; Nicolò Ripamonti; Jan S. Hesthaven (J. Comput. Phys., 2020)

Physics-informed machine learning for reduced-order modeling of nonlinear problems. - Wenqian Chen; Qian Wang 021; Jan S. Hesthaven; Chuhua Zhang (J. Comput. Phys., 2021)

Coupling kinetic and continuum using data-driven maximum entropy distribution. - Mohsen Sadr; Qian Wang 021; M. Hossein Gorji (J. Comput. Phys., 2021)

High Order Finite Volume Schemes for Solving the Non-Conservative Convection Equations on the Unstructured Grids. - Qian-Min Huang; Yu-Xin Ren 002; Qian Wang 021 (J. Sci. Comput., 2021)

High-order compact finite volume schemes for solving the Reynolds averaged Navier-Stokes equations on the unstructured mixed grids with a large aspect ratio. - Qian-Min Huang; Yu-Xin Ren 002; Qian Wang 021; Jianhua Pan (J. Comput. Phys., 2022)

Machine learning enhanced real-time aerodynamic forces prediction based on sparse pressure sensor inputs. - Junming Duan; Qian Wang 021; Jan S. Hesthaven (CoRR, 2023)

A general positivity-preserving algorithm for implicit high-order finite volume schemes solving the Euler and Navier-Stokes equations. - Qian-Min Huang; Hanyu Zhou; Yu-Xin Ren 002; Qian Wang 021 (J. Comput. Phys., 2024)

Machine learning optimization of compact finite volume methods on unstructured grids. - Chong-Bo Zhou; Qian Wang 021; Yu-Xin Ren 002 (J. Comput. Phys., 2024)