activity
20192025
most citedA Formalism for Modelling Traction forces and Cell Shape Evolution during Cell Migration in Various Biomedical Processes

9 citations · 11 across the 6 of their papers we have counts for

collaborators

7 papers

math.NA2025

A Stabilized Finite Element Method for Morpho-Visco-Poroelastic Model

Sabia Asghar, Duncan den Bakker, Etelvina Javierre +2

We propose a mathematical model that combines elastic, viscous and porous effects with growth or shrinkage due to microstructural changes. This phenomenon is important in tissue or…

math.NA2024

Convergence of the Immersed Interface Method in Linear Elasticity

Sabia Asghar, Qiyao Peng, Etelvina Javierre +1

We consider an open, bounded, simply connected (Lipschitz) domain in , which contains a closed polyhedral surface or polygonal contour, referred to as the interface.…

math.NA2021

Upscaling between an Agent-Based Model (Smoothed Particle Approach) and a Continuum-Based Model for Skin Contractions

Q. Peng, F. J. Vermolen

Skin contraction is an important biophysical process that takes place during and after the recovery of deep tissue injury. This process is mainly caused by fibroblasts (skin cells)…

q-bio.CB20209 cited

A Formalism for Modelling Traction forces and Cell Shape Evolution during Cell Migration in Various Biomedical Processes

Qiyao Peng, Fred Vermolen, Daphne Weihs

The phenomenological model for cell shape deformation and cell migration (Chen et.al. 2018; Vermolen and Gefen 2012) is extended with the incorporation of cell traction forces and…

math.NA2020

Network-inspired versus Kozeny-Carman based permeability-porosity relations applied to Biot's poroelasticity model

Menel Rahrah, Luis A. Lopez-Peña, Fred Vermolen +1

Water injection in the aquifer induces deformations in the soil. These mechanical deformations give rise to a change in porosity and permeability, which results in non-linearity of…

q-bio.PE20201 cited

A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses

Fred Vermolen

We consider a Spatial Markov Chain model for the spread of viruses. The model is based on the principle to represent a graph connecting nodes, which represent humans. The vertices…