Assistant Professor Qian Wang
Mechanics
- Office Location
- Room B211
- Telephone
- 86-10-56981911
- qian.wang[at]csrc.ac.cn
- Education
2012-2017, Ph.D. in Fluid Mechanics, Advisor: Prof. Yu-Xin REN
Tsinghua University, Beijing, China
2008-2012, B.E. in Mechanical Engineering
Huazhong University of Science and Technology, Wuhan, China
- Professional Employment
Dr. Qian Wang obtained his Ph.D. from Tsinghua University, China in 2017 with a specialization in Computational Fluid Dynamics (CFD). Afterwards, he worked as a postdoctoral fellow in the Chair of Prof. Jan S. Hesthaven at École polytechnique fédérale de Lausanne (EPFL), Switzerland. In 2022, he joined Beijing Computational Science Research Center as an Assistant Professor.
- Research Interests
High-Order Methods for Compressible Flows
Reduced-Order Modeling
Scientific Machine Learning
Multi-Material Flow Simulation
Combustion Simulation
- Awards/Honors
Outstanding Ph.D. Thesis Award, Tsinghua University, 2017
- Representative Publications
- 1. Qian Wang, Yu-Xin Ren*, Wanai Li. Compact high order finite volume method on unstructured grids I: Basic formulations and one-dimensional schemes. Journal of Computational Physics 314 (2016): 863-882.
- 2. Qian Wang, Yu-Xin Ren*, Wanai Li. Compact high order finite volume method on unstructured grids II: Extension to two-dimensional Euler equations. Journal of Computational Physics 314 (2016): 883-908.
- 3. Qian Wang, Yu-Xin Ren*, Jianhua Pan, Wanai Li. Compact high order finite volume method on unstructured grids III: Variational reconstruction. Journal of Computational Physics 337 (2017): 1-26.
- 4. 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. Journal of Computational Physics 384 (2019): 289-307.
- 5. Qian Wang*, Nicolò Ripamonti, Jan S. Hesthaven. Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism. Journal of Computational Physics 410 (2020): 109402.
- 6. Wenqian Chen, Qian Wang*, Jan S. Hesthaven, Chuhua Zhang. Physics-informed machine learning for reduced-order modeling of nonlinear problems. Journal of Computational Physics 446 (2021): 110666.
