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ORCIDQian Wang 0021
Person information
- affiliation: EPFL, Computational Mathematics and Simulation Science, Lausanne, Switzerland
- affiliation (PhD 2017): Tsinghua University, Department of Engineering Mechanics, Beijing, China
- not to be confused with: Qiang Wang 0020
Other persons with the same name
- Qian Wang — disambiguation page
- Qian Wang 0001
![[0000-0002-3490-3836]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3490-3836")
— ShanghaiTech University, School of Biomedical Engineering, State Key Laboratory of Advanced Medical Materials and Devices, Shanghai, China (and 3 more) - Qian Wang 0002 — Wuhan University, School of Cyber Science and Engineering, Hubei, China (and 2 more)
- Qian Wang 0003 — Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
- Qian Wang 0004 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Qian Wang 0005 — Xi'an Jiaotong University, School of Mathematics and Statistics, China
- Qian Wang 0006 — University of South Carolina, Department of Chemistry and Biochemistry, Columbia, SC, USA
- Qian Wang 0007 — The Hong Kong University of Science and Technology, Department of Civil and Environmental Engineering, Hong Kong (and 1 more)
- Qian Wang 0008 — University of Alberta, Edmonton, AB, Canada
- Qian Wang 0009 — Yanshan University, College of Information Science and Engineering, Qianhuangdao, China (and 2 more)
- Qian Wang 0010 — Clemson University, International Center for Automotive Research, Applied Dynamics and Control Group, Greenville, SC, USA
- Qian Wang 0011 — Southeast University, School of Computer Science and Engineering, MOE, Key Laboratory of Computer Network and Information Integration, Nanjing, China
- Qian Wang 0012 — Hangzhou Dianzi University, Institute of Information and Control, China (and 1 more)
- Qian Wang 0013 — Information Science and Technology Institute, Zhengzhou, China
- Qian Wang 0014 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 2 more)
- Qian Wang 0015 — Beijing University of Posts and Telecommunications, Network Management Center, China
- Qian Wang 0016 — Aalborg University, Department of Energy Technology, Denmark (and 1 more)
- Qian Wang 0017 — Durham University, UK (and 1 more)
- Qian Wang 0018 — University of Bath, Department of Mechanical Engineering, UK (and 1 more)
- Qian Wang 0019 — Xi'an University of Posts and Telecommunications, School of Telecommunication and Information Engineering, China (and 3 more)
- Qian Wang 0020 — Harbin Institute of Technology, School of Mechatronics Engineering, China
- Qian Wang 0022 — University of Maryland, College Park, USA (and 1 more)
- Qian Wang 0023 — Zhengzhou University of Light Industry, Zhengzhou, China
- Qian Wang 0024 — University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA
- Qian Wang 0025 — Peking University, School of Computer Science, China
- Qian Wang 0026 — Xi'an University of Architecture and Technology, School of Management, China
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2020 – today
- 2024
[j12]Chong-Bo Zhou, Qian Wang, Yu-Xin Ren:
Machine learning optimization of compact finite volume methods on unstructured grids. J. Comput. Phys. 500: 112746 (2024)- [j11]Qian-Min Huang, Hanyu Zhou, Yu-Xin Ren, Qian Wang:
A general positivity-preserving algorithm for implicit high-order finite volume schemes solving the Euler and Navier-Stokes equations. J. Comput. Phys. 508: 112999 (2024) - 2023
- [i1]Junming Duan, Qian Wang, Jan S. Hesthaven:
Machine learning enhanced real-time aerodynamic forces prediction based on sparse pressure sensor inputs. CoRR abs/2305.09199 (2023) - 2022
- [j10]Qian-Min Huang, Yu-Xin Ren, Qian Wang, Jianhua Pan:
High-order compact finite volume schemes for solving the Reynolds averaged Navier-Stokes equations on the unstructured mixed grids with a large aspect ratio. J. Comput. Phys. 467: 111458 (2022) - 2021
- [j9]Wenqian Chen, Qian Wang, Jan S. Hesthaven, Chuhua Zhang:
Physics-informed machine learning for reduced-order modeling of nonlinear problems. J. Comput. Phys. 446: 110666 (2021) - [j8]Qian-Min Huang, Yu-Xin Ren, Qian Wang:
High Order Finite Volume Schemes for Solving the Non-Conservative Convection Equations on the Unstructured Grids. J. Sci. Comput. 88(2): 37 (2021) - 2020
- [j7]Wanai Li, Qian Wang, Yu-Xin Ren:
A p-weighted limiter for the discontinuous Galerkin method on one-dimensional and two-dimensional triangular grids. J. Comput. Phys. 407: 109246 (2020) - [j6]Qian Wang, Nicolò Ripamonti, Jan S. Hesthaven:
Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism. J. Comput. Phys. 410: 109402 (2020)
2010 – 2019
- 2019
- [j5]Qian Wang, Jan S. Hesthaven, Deep Ray:
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem. J. Comput. Phys. 384: 289-307 (2019) - [j4]Yu-Si Zhang, Yu-Xin Ren, Qian Wang:
Compact high order finite volume method on unstructured grids IV: Explicit multi-step reconstruction schemes on compact stencil. J. Comput. Phys. 396: 161-192 (2019) - 2017
- [j3]Qian Wang, Yu-Xin Ren, Jianhua Pan, Wanai Li:
Compact high order finite volume method on unstructured grids III: Variational reconstruction. J. Comput. Phys. 337: 1-26 (2017) - 2016
- [j2]Qian Wang, Yu-Xin Ren, Wanai Li:
Compact high order finite volume method on unstructured grids I: Basic formulations and one-dimensional schemes. J. Comput. Phys. 314: 863-882 (2016) - [j1]Qian Wang, Yu-Xin Ren, Wanai Li:
Compact high order finite volume method on unstructured grids II: Extension to two-dimensional Euler equations. J. Comput. Phys. 314: 883-908 (2016)
Coauthor Index
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