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

2023.12-now: Institute of Mechanics, Chinese Academy of Sciences, Professor

2023.02-2023.11: Institute of Mechanics, Chinese Academy of Sciences, Associate 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 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 neural modeling and differentiable programming

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

Specialties:

080100-Mechanics

080103-Fluid Mechanics

080102-Solid Mechanics

080101-General Mechanics and Fundamentals

085601-Material Engineering

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

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

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

4. Humboldt Fellowship, Alexander von Humboldt Foundation, 2020

5. 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.