activity
20202025
most citedLearning Thermodynamically Stable and Galilean Invariant Partial Differential Equations for Non-equilibrium Flows

13 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2025

Validity of relaxation models arising from numerical schemes for hyperbolic-parabolic systems

Zhiting Ma, Weifeng Zhao

This work is concerned with relaxation models arising from numerical schemes for hyperbolic-parabolic systems. Such models are a hyperbolic system with both the hyperbolic part and…

math.AP2025

A thermodynamics-based turbulence model for isothermal compressible flows

Zhiting Ma, Wen-An Yong, Yi Zhu

This study presents a new turbulence model for isothermal compressible flows. The model is derived by combining the Favre averaging and the Conservation-dissipation formalism -- a…

math.NA2024

Uniform accuracy of implicit-explicit Runge-Kutta methods for linear hyperbolic relaxation systems

Zhiting Ma, Juntao Huang

In this paper, we study the uniform accuracy of implicit-explicit (IMEX) Runge-Kutta (RK) schemes for general linear hyperbolic relaxation systems satisfying the structural stabili…

math.NA2023★ 1 cited

Uniform accuracy of implicit-explicit backward differentiation formulas (IMEX-BDF) for linear hyperbolic relaxation systems

Zhiting Ma, Juntao Huang, Wen-An Yong

This work is concerned with the uniform accuracy of implicit-explicit backward differentiation formulas for general linear hyperbolic relaxation systems satisfying the structural s…

math.AP2022

Non-relativistic limit of the Euler-HMP approximation model arising in radiation hydrodynamics

Zhiting Ma, Wen-An Yong

In this paper, we are concerned with the non-relativistic limit of a class of computable approximation models for radiation hydrodynamics. The models consist of the compressible Eu…

physics.comp-ph2020★ 13 cited

Learning Thermodynamically Stable and Galilean Invariant Partial Differential Equations for Non-equilibrium Flows

Juntao Huang, Zhiting Ma, Yizhou Zhou +1

In this work, we develop a method for learning interpretable, thermodynamically stable and Galilean invariant partial differential equations (PDEs) based on the Conservation-dissip…