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20122026
most citedAn Optimally Convergent parallel splitting Algorithm for the Multiple-Network Poroelasticity Model

4 citations · 6 across the 5 of their papers we have counts for

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5 papers

math.NA2026

An Energy-Stable, Bound-Preserving and Locally Conservative Numerical Framework for Multicomponent Gas Flow in Poroelastic Media

Huangxin Chen, Yuxiang Chen, Jisheng Kou +1

In this paper, we propose a robust and efficient numerical framework for simulating multicomponent gas flow in poroelastic media, with a focus on preserving fundamental thermodynam…

math.NA2026

Bound-Preserving Adaptive Time-Stepping Method with Energy Stability for Simulating Compressible Gas Flow in Poroelastic Media

Huangxin Chen, Yuxiang Chen, Jisheng Kou +1

In this paper, we present an efficient numerical method to address a thermodynamically consistent gas flow model in porous media involving compressible gas and deformable rock. The…

math.AP2026

The Existence, uniqueness, and regularity of weak solutions for a thermodynamically consistent two-phase flow model in porous media

Huangxin Chen, Jisheng Kou, Haitao Leng +2

Thermodynamically consistent models for two-phase flow in porous media have attracted significant attention in recent years. In this paper, we prove the existence, uniqueness and r…

math.NA2025★ 4 cited

An Optimally Convergent parallel splitting Algorithm for the Multiple-Network Poroelasticity Model

Jijing Zhao, Huangxin Chen, Mingchao Cai +1

This paper presents a novel parallel splitting algorithm for solving quasi-static multiple-network poroelasticity (MPET) equations. By introducing a total pressure variable, the MP…

physics.data-an2012★ 2 cited

On Stochastic Error and Computational Efficiency of the Markov Chain Monte Carlo Method

J. Li, P. Vignal, S. Sun +1

In Markov Chain Monte Carlo (MCMC) simulations, the thermal equilibria quantities are estimated by ensemble average over a sample set containing a large number of correlated sample…