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adtzlr authored Sep 21, 2021
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Expand Up @@ -3,7 +3,7 @@ Material Definition with Automatic Differentiation (AD)

[![PyPI version shields.io](https://img.shields.io/pypi/v/matadi.svg)](https://pypi.python.org/pypi/matadi/) [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) ![Made with love in Graz (Austria)](https://img.shields.io/badge/Made%20with%20%E2%9D%A4%EF%B8%8F%20in-Graz%20(Austria)-0c674a) [![codecov](https://codecov.io/gh/adtzlr/matadi/branch/main/graph/badge.svg?token=2EY2U4ZL35)](https://codecov.io/gh/adtzlr/matadi) [![DOI](https://zenodo.org/badge/408564756.svg)](https://zenodo.org/badge/latestdoi/408564756) ![Codestyle black](https://img.shields.io/badge/code%20style-black-black) ![GitHub Repo stars](https://img.shields.io/github/stars/adtzlr/matadi?logo=github) ![PyPI - Downloads](https://img.shields.io/pypi/dm/matadi)

matADi is a simple Python module which acts as a wrapper on top of [casADi](https://web.casadi.org/) for easy definitions of hyperelastic strain energy functions. Gradients (stresses) and hessians (elasticity tensors) are carried out by casADi's powerful and fast **Automatic Differentiation (AD)** capabilities. It is designed to handle inputs with trailing axes which is especially useful for the application in Python-based finite element modules. Mixed-field formulations are supported as well.
matADi is a simple Python module which acts as a wrapper on top of [casADi](https://web.casadi.org/) for easy definitions of hyperelastic strain energy functions. Gradients (stresses) and hessians (elasticity tensors) are carried out by casADi's powerful and fast **Automatic Differentiation (AD)** capabilities. It is designed to handle inputs with trailing axes which is especially useful for the application in Python-based finite element modules like [scikit-fem](https://scikit-fem.readthedocs.io/en/latest/) or [FElupe](https://adtzlr.github.io/felupe/). Mixed-field formulations are supported as well as single-field formulations.

## Installation
Install `matADi` from PyPI via pip.
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