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20212024
most citedAn in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

math.NA2024

Cell seeding dynamics in a porous scaffold material designed for meniscus tissue regeneration

Henry Jäger, Élise Grosjean, Steffen Plunder +4

We study the dynamics of a seeding experiment where a fibrous scaffold material is colonized by two types of cell populations. The specific application that we have in mind is rela…

q-bio.TO2024★ 1 cited

An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis

Elise Grosjean, Alex Keilmann, Henry Jäger +10

We develop a model the dynamics of human mesenchymal stem cells (hMSCs) and chondrocytes evolving in a nonwoven polyethylene terephtalate (PET) scaffold impregnated with hyaluron a…

math.NA2023

A mathematical model for meniscus cartilage regeneration

Elise Grosjean, Bernd Simeon, Christina Surulescu

We propose a continuous model for meniscus cartilage regeneration triggered by two populations of cells migrating and (de)differentiating within an artificial scaffold with a known…

math.NA2023★ 1 cited

The non-intrusive reduced basis two-grid method applied to sensitivity analysis

Elise Grosjean, Bernd Simeon

This paper deals with the derivation of Non-Intrusive Reduced Basis (NIRB) techniques for sensitivity analysis, more specifically the direct and adjoint state methods. For highly c…

math.NA2022

Error estimate of the Non-Intrusive Reduced Basis (NIRB) two-grid method with parabolic equations

Elise Grosjean, Yvon Maday

Reduced Basis Methods (RBMs) are frequently proposed to approximate parametric problem solutions. They can be used to calculate solutions for a large number of parameter values (e.…

math.NA2021

Error estimate of the Non Intrusive Reduced Basis method with finite volume schemes

Elise Grosjean, Yvon Maday

The context of this paper is the simulation of parameter-dependent partial differential equations (PDEs). When the aim is to solve such PDEs for a large number of parameter values,…