When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.org/10.1016/j.cma.2022.115731 as well as the relevant other papers provided by this repository.

All input data and code is provided in the corresponding folders.

Universal material model subroutine and simulation files,
"On automated model discovery and a universal material subroutine"
https://doi.org/10.1101/2023.07.19.549749

Valanis-Landel type, principal-stretch-based, and invariant-based models, "Discovering the mechanics of artificial and real meat" https://doi.org/10.1016/j.cma.2023.116236

Revision summary: we have corrected two coding mistakes that had small effects on Table 4, Figures 8, 9, 10, 11, and the text starting on page 18 bottom; the revised code, updated table, figures, and text are all in this GitHub folder; the main findings of this study are not affected by these updates.

Isotropic models

1. Invariant-based model, "Automated model discovery for human brain using Constitutive Artificial Neural Networks" https://doi.org/10.1016/j.actbio.2023.01.055
2. Principal-stretch-based model and invariant model, " Principal-stretch-based constitutive neural networks autonomously discover a subclass of Ogden models for human brain tissue" https://doi.org/10.1016/j.brain.2023.100066

Workshop for the Summer Biomechanics School 2023. Contains Google Colab code to run the same models and data as contained in the BRAIN folder.

Viscoelastic constitutive recurrent neural network model, "Automated model discovery for muscle using constitutive recurrent neural networks" https://doi.org/10.1016/j.jmbbm.2023.106021

Isotropic invariant-based model, "A new family of Constitutive Artificial Neural Networks towards automated model discovery" https://doi.org/10.1016/j.cma.2022.115731

Anistropic constitutive artificial neural network model, "Automated model discovery for skin: Discovering the best model, data, and experiment" https://doi.org/10.1016/j.cma.2023.116007