Skip to content
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Article: K. Linka, M. Hillgärtner, K. P. Abdolazizi, R. C. Aydin, M. Itskov, & C. J. Cyron (2021). Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning. Journal of Computational Physics, 429, 110010. https://doi.org/10.1016/j.jcp.2020.110010

The CANN architecture was developed and tested in the following environment:

Python: 3.8.3; keras: 2.4.2; tensorflow: 2.2.0; pandas: 1.0.5; numpy: 1.19.0; matplotlib: 3.2.2

You can run "versions.py" to display the versions currently used on your system.

About

Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages