Group: Computational Mathematics
Office: A3-3-102
Email: mazt@bimsa.cn
Research Field: Computational Mathematics, Machine Learning
Biography
Zhiting Ma obtained the B.S. degree from Lanzhou University in 2015 and Ph.D. degree from Department of Mathematical Sciences at Tsinghua University, China in 2021. Then, she worked as a postdoc at School of Mathematical Sciences, Peking University. Currently, she is an Assistant Professor in Beijing Institute of Mathematical Sciences and Applications (BIMSA). Her current research interests include kinetic theory, machine learning and hyperbolic relaxation systems.
Research Interest
Education Experience
- 2015 - 2021 Tsinghua University Mathematics Doctor
Work Experience
- 2021 - 2023 Peking University Postdoctor
Publication
- [1] Zhiting Ma, Juntao Huang, Uniform accuracy of implicit-explicit Runge-Kutta methods for linear hyperbolic relaxation systems (2024)
- [2] Zhiting Ma, Juntao Huang, Wen-An Yong, Uniform accuracy of implicit-explicit backward differentiation formulas (IMEX-BDF) for linear hyperbolic relaxation systems, arXiv preprint arXiv:2310.05342 (2023)
- [3] Zhiting Ma, Wen-An Yong, Non-relativistic limit of the Euler-HMP$_N$ approximation model arising in radiation hydrodynamics, Mathematical Methods in the Applied Sciences (2023)
- [4] Jin Zhao, Weifeng Zhao, Zhiting Ma, Wen-An Yong, and Bin Dong, Finding models of heat conduction via machine learning, , 185, 122396 (2022)
- [5] Zhiting Ma, Navier-Stokes limit of globally hyperbolic moment equations, Kinetic and Related Models(2022)
- [6] Juntao Huang, Zhiting Ma, Yizhou Zhou, and Wen-An Yong, Learning thermodynamically stable and Galilean invariant partial differential equations for non-equilibrium flows, Journal of Non-Equilibrium Thermodynamics, 46(4), 355-370 (2021)
Update Time: 2025-05-20 15:34:25