Author

J. A. Hurtado

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· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

E. Kuhl· 2 shared K. Linka· 2 shared M. Peirlinck· 2 shared G. A. Holzapfel· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioengineering

E. Kuhl

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2 papers

Recent·Most cited

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

On automated model discovery and a universal material subroutine

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

This paper automates model selection for constitutive modeling in finite element analysis, demonstrating a universal material subroutine that generalizes to multiple models and accurately predicts stress in human brain tissue.

bioRxiv · Jul 19, 2023 · PreprintBioengineering