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20242026
most citedAn Optimally Convergent parallel splitting Algorithm for the Multiple-Network Poroelasticity Model

4 citations · 4 across the 9 of their papers we have counts for

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math.NA2026

Pressure Monotonicity for a Rotation-Based Biot Discretization with Circumcentric Mass Lumping

Huipeng Gu, Mingchao Cai, Jingzhi Li

We establish cellwise pressure monotonicity for a mixed finite element discretization of the rotation-based Biot system. The spatial discretization is based on compatible discrete…

math.NA2026

Physics-Informed Neural Networks for Biot's Model via Fixed-Stress Splitting and Energy Natural Gradient Descent

Kexin Sun, Qiang Liu, Minfu Feng +1

Physics-Informed Neural Networks (PINNs) have recently gained considerable attention as a mesh-free framework for solving partial differential equations. Nevertheless, their perfor…

math.NA2026

Iterative Decoupling Methods for a Total-Pressure Formulation of Quasi-Static Electroporoelasticity

Huipeng Gu, Mingchao Cai, Jingzhi Li

Quasi-static electroporoelasticity couples Maxwell's equations with Biot's poroelasticity through electrokinetic coupling between the electric field and the pressure gradient. By i…

math.NA2026

A Second-Order Monolithic Scheme for the Coupled Stokes--Biot Model Using Total Pressure

Talal Alshehri, Mingchao Cai, Xiaoqin Shen

We develop and analyze a second-order, fully implicit, monolithic time-discretization for the coupled time-dependent Stokes and quasi-static Biot system. The Biot subsystem is form…

math.NA2026

A Unified Model for Thermo- and Multiple-Network Poroelasticity with a Global-in-Time Iterative Decoupling Scheme

Huipeng Gu, Mingchao Cai, Jingzhi Li +1

This paper introduces a unified model for thermo-poroelasticity and multiple-network poroelasticity, reformulated into a total-pressure-based system. We first establish the well-po…