2023.12-present: School of Engineering Science, University of Chinese Academy of Sciences, Professor

2023.02-present: Institute of Mechanics, Chinese Academy of Sciences, Professor

2019.08-2023.01: Karlsruhe Institute of Technology, Research Associate

2016.04-2019.01: Hong Kong University of Science and Technology, Research Assistant

2014.09-2019.06: Peking University, Ph.D.

2010.09-2014.06: Wuhan University, B.S.

1. Multi-scale Modeling & Computing: modeling and high-performance numerical simulation on top of mesoscopic kinetic theory and peridynamics

2. Uncertainty Quantification: uncertainty propagation, sensitivity analysis, statistical inference and model calibration based on applied mathematics and statistics

3. Scientific Machine Learning: structure-preserving machine learning modeling and differentiable programming

We are looking for highly self-motivated students who are interested in the above research areas to work together : )

Specialties

• Mechanics

• Materials Engineering

Enrollment Institutions

• University of Chinese Academy of Sciences

• University of Science and Technology of China (co-supervision)

• Beijing Normal University-Hong Kong Baptist University United International College (co-supervision)

​Centre for Interdisciplinary Research in Fluids at Institute of Mechanics, Chinese Academy of Sciences has full-time research positions including professor, associate professor, assistant professor, post-doctoral fellow, and research assistant. We cordially invites young talents with relevant research background to join the research team. Depending on the applicant's specific situation, he/she can apply high-level fellowships from different tiers. Please feel free to contact me for more details.

1. Member of the US-RSE and the RGD NextGen Group

2. Guest Editor for Journal of Computational and Theoretical Transport, Entropy, and Metascience in Aerospace

3. Managing Editor for Results in Physics

4. Reviewer for Mathematical Reviews, American Mathematical Society

5. Referee for peer-reviewed journals, including Journal of Computational Physics, Journal of Scientific Computing, Physics of Fluids, Communications in Computational Physics, Computers & Fluids, Acta Physica, and the Journal of Computational Physics. Computers & Fluids, Journal of Open Source Software, Acta Mechanica Sinica, Advances in Aerodynamics, AIP advances, among others.

1. Fundamental Research Youth Team Program, Chinese Academy of Sciences, 2024

2. Outstanding Youth Science Fund, National Science Foundation of China, 2023

3. High-level Science and Technology Talent Program, Chinese Academy of Sciences, 2023

4. Young Elite Scientists Sponsorship Program, Chinese Society of Theoretical and Applied Mechanics, 2023

5. Humboldt Fellowship, Alexander von Humboldt Foundation, 2020

6. Physics of Fluids (PoF) Young Researcher Award, American Institute of Physics, 2017

(Ten representative works selected; see Google Scholar for a complete list)

1. Tianbai Xiao and Martin Frank. RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator. Journal Computational Physics, 490: 112317, 2023.

2. Tianbai Xiao, Steffen Schotthöfer, and Martin Frank. Predicting continuum breakdown with deep neural networks. Journal Computational Physics, 489: 112278, 2023.

3. Tianbai Xiao, Jonas Kusch, Julian Koellermeier, and Martin Frank. A Flux Reconstruction Stochastic Galerkin Scheme for Hyperbolic Conservation Laws. Journal of Scientific Computing, 95(1): 18, 2023.

4. Tianbai Xiao. An Investigation of Uncertainty Propagation in Non-equilibrium Flows. International Journal of Computational Fluid Dynamics, 36(4): 294-318, 2022.

5. Tianbai Xiao. A flux reconstruction kinetic scheme for the Boltzmann equation. Journal of Computational Physics, 447: 110689, 2021.

6. Tianbai Xiao and Martin Frank. Using neural networks to accelerate the solution of the Boltzmann equation. Journal of Computational Physics, 443: 110521, 2021.

7. Tianbai Xiao. Kinetic.jl: A portable finite volume toolbox for scientific and neural computing. Journal of Open Source Software, 6(62): 3060, 2021.

8. Tianbai Xiao and Martin Frank. A stochastic kinetic scheme for multi-scale flow transport with uncertainty quantification. Journal of Computational Physics, 437: 110337, 2021.

9. Tianbai Xiao and Martin Frank. A stochastic kinetic scheme for multi-scale plasma transport with uncertainty quantification. Journal of Computational Physics, 432: 110139, 2021.

10. Tianbai Xiao, Chang Liu, Kun Xu, and Qingdong Cai. A velocity-space adaptive unified gas kinetic scheme for continuum and rarefied flows. Journal of Computational Physics, 415: 109535, 2020.

The research is supported by the German Science Foundation, Alexander von Humboldt Foundation, Hong Kong Research Grants Council, National Natural Science Foundation of China, Ministry of Education of China, etc.

The members of the research group (including visiting scholars, postdoctoral fellows, master's and doctoral students, research assistants, and undergraduate students) are listed in the following chronological order:

Visiting Scholars

Jaeyong Lee, Chung-Ang University, 2025

Erkan Oterkus, University of Strathclyde, 2024

Selda Oterkus, University of Strathclyde, 2024

Postdoctoral Research Associates

Shiwei Hu: Institute of Mechanics, Chinese Academy of Sciences, 2023-present

Yong Wang: Institute of Mechanics, Chinese Academy of Sciences, 2024-present

Guan Zhang: Institute of Mechanics, Chinese Academy of Sciences, 2024-present

Graduate Students

Mingshuo Han: University of Chinese Academy of Sciences, 2022-present

Limin Li: Peking University, 2022-present

Shuangqing Liu: University of Chinese Academy of Sciences, 2023-present

Longqing Ge: Peking University, 2023-present

Yunpeng Mao: Xi'an Jiaotong University, 2023-present

Ruhuan Zhao: University of Chinese Academy of Sciences, 2024-present

Zuoxu Li: University of Chinese Academy of Sciences, 2024-present

Xu Wang, University of Chinese Academy of Sciences, 2024-present

Zhiqi Shi: University of Science and Technology of China, 2024-present

Research Assistants

Charlotte Wedler: Ray effect mitigation in discrete velocity methods for the Boltzmann equation, Karlsruhe Institute of Technology, 2021-2022

Chinmay Patwardhan: Mesh generation techniques for kinetic simulations, Karlsruhe Institute of Technology, 2021

Chloe Griffin: Meta-learning of numerical solution algorithms, Karlsruhe Institute of Technology, 2022

Undergraduates

Martin Sadric: Neural network solvers for differential equations, Karlsruhe Institute of Technology, 2022-2023

Hongxu Ren: Physics-informed neural networks for integral equations, Peking University, 2023

Dong Zhou: Physics-informed neural networks for lattice Boltzmann equations, Chongqing University of Technology, 2023-2024

Ruijie Li: High-speed flow modeling and simulation based on operator learning, Sun Yat-sen University, 2024-2025

Weiguang Zheng: Consitutive models of non-equilibrium flows based on mesoscopic mechanics and machine learning, Beihang University, 2024-2025

Photo of group members, Fragrant Hills, September 2024