Automated model discovery for muscle using constitutive recurrent neural networks

Author:

Wang Lucy M.ORCID,Linka Kevin,Kuhl EllenORCID

Publisher

Elsevier BV

Subject

Mechanics of Materials,Biomedical Engineering,Biomaterials

Reference75 articles.

1. Viscoelastic constitutive artificial neural Networks (vCANNs)–a framework for data-driven anisotropic nonlinear finite viscoelasticity;Abdolazizi,2023

2. Integrating machine learning and multiscale modeling: Perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences;Alber;Npj Digit. Med.,2019

3. A mechanics-informed artificial neural network approach in data-driven constitutive modeling;As’ad;Internat. J. Numer. Methods Engrg.,2022

4. On the anisotropy of skeletal muscle tissue under compression;Böl;Acta Biomater.,2014

5. Mechano-geometrical skeletal muscle fibre characterisation under cyclic and relaxation loading;Böl;J. Mech. Behav. Biomed. Mater.,2020

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