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CANN

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

Install / Use

/learn @Hillgaertner/CANN
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Article: K. Linka, M. Hillgärtner, K. P. Abdolazizi, R. C. Aydin, M. Itskov, & C. J. Cyron. Constitutive artificial neural networks: a fast and general approach to predictive data-driven constitutive modeling by deep learning. (under review)

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.

View on GitHub
GitHub Stars24
CategoryDevelopment
Updated4mo ago
Forks32

Languages

Python

Security Score

87/100

Audited on Nov 27, 2025

No findings