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

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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.

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

License:MIT License


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