This repo has the code of our paper, titled "PyTorch-FEA: Autograd-enabled Finite Element Analysis Methods with Applications for Biomechanical Analysis of Human Aorta", which is published at computer methods and programs in biomedicine (https://doi.org/10.1016/j.cmpb.2023.107616).
The free preprint is available at https://www.biorxiv.org/content/10.1101/2023.03.27.533816v1 It is also inside the doc folder of this repo.
The data and tables of the four applications can be downloaded from:
app1: https://drive.google.com/file/d/1SsR6DYm58j8aGlu0L31EgG9JfSAqGoye/view?usp=sharing
app2: https://drive.google.com/file/d/1Rf5iwTthgtdk69_PRS7UVou-mCxeqQbv/view?usp=sharing
app3: https://drive.google.com/file/d/18RhTA7qdpOHmxKk4NAldJZvdAmbzOyn8/view?usp=sharing
app4: https://drive.google.com/file/d/124kiNeIJFEndEvVeL60qNZNQfSLxpUVj/view?usp=sharing
I am refactoring the code to make it more user-friendly at https://github.com/liangbright/pytorch_fea