An accurate, robust, and efficient finite element framework with applications to anisotropic, nearly and fully incompressible elasticity

Author:

Karabelas EliasORCID,Gsell Matthias A.F.ORCID,Haase Gundolf,Plank GernotORCID,Augustin Christoph M.ORCID

Funder

Horizon 2020

European Commission

Austrian Science Fund

BioTechMed-Graz

Horizon 2020 Marie Skłodowska-Curie Actions

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference122 articles.

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3. Modeling pathologies of diastolic and systolic heart failure;Genet;Ann. Biomed. Eng.,2016

4. Using machine learning to characterize heart failure across the scales;Peirlinck;Biomech. Model. Mechanobiol.,2019

5. Computational modeling of cardiac growth and remodeling in pressure overloaded hearts-linking microstructure to organ phenotype;Niestrawska;Acta Biomater.,2020

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