Assistant Professor Qian Wang

Mechanics

Office Location
Room B211
Telephone
86-10-56981911
Email
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.
CSRC 新闻 CSRC News CSRC Events CSRC Seminars CSRC Divisions