Author

G. A. Holzapfel

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:deep learning· 3 Organism:human· 2 Approach:statistical model· 2 Approach:simulation· 1

Frequent Co-Authors

E. Kuhl· 3 shared K. Linka· 3 shared M. Peirlinck· 2 shared A. Buganza Tepole· 1 shared D. Martonova· 1 shared J. A. Hurtado· 1 shared R. P. Gilbert· 1 shared S. Klinge· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersBioengineering

E. Kuhl

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Author profile →

4 papers

Recent·Most cited

Automated model discovery for human cardiac tissue: Discovering the best model and parameters

D. Martonova, M. Peirlinck, K. Linka, G. A. Holzapfel, S. Leyendecker, E. Kuhl

This paper automates cardiac tissue model discovery by training a neural network to identify the best model and parameters for human cardiac tissue.

bioRxiv · Feb 27, 2024Bioengineering

Democratizing biomedical simulation through automated model discovery and a universal material subroutine

M. Peirlinck, K. Linka, J. A. Hurtado, G. A. Holzapfel, E. Kuhl

This paper automates material model selection in finite element simulations using constitutive neural networks, improving robustness and accessibility of biomedical simulations.

bioRxiv · Dec 6, 2023Bioengineering

Automated model discovery for skin:Discovering the best model, data, and experiment

K. Linka, A. Buganza Tepole, G. A. Holzapfel, E. Kuhl

This paper introduces Constitutive Artificial Neural Networks (CANN) to automatically discover the best constitutive model, parameters, and experiments for skin mechanics.

bioRxiv · Dec 19, 2022Bioengineering

Numerical simulation of the viral entry into a cell driven by the receptor diffusion

T. Wiegold, S. Klinge, R. P. Gilbert, G. A. Holzapfel

This paper simulates receptor-driven viral entry into a cell using a diffusion equation with boundary conditions to study how receptor mobility and initial density affect the process velocity.

bioRxiv · Oct 29, 2019Cell Biology