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Differentiable Finite Element Method with JAX

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I am trying to install the jax-fem on a windows platform. I am unable to install Petsc4py using pip install. I am not able to install using condo as well....

Hi, I'm trying to create an hybrid model, that use your FEM-solver and a neural network. To do that, I need to solve the same equations with different parameters (e.g...

Hi, I noticed there was a recent commit made by @xwpken to the Linear_Elasticity demo that implemented post-processing for stresses in the beam. I'm just confused on how to interpret...

See https://github.com/njzjz-bot/njzjz-bot/issues/3.

It seems like there is currently no proper docs / tutorial for this package. I'm interested in applying this to some problems in my research, but it'd be very helpful...

Hello everyone, I've been exploring this code with a keen interest in solving coupling problems. The code successfully passed the benchmark tests and have been able to run demos.hyperelasticity.example without...

Below is a tasklist for the refactor of the JAX-FEM core code. The first stage of the refactor will focus on the `core.py` file. The proposed file structure is detailed...

In cases of hyperelasticity where we need incremental load/displacement application, or in the case of rate or history dependent problems, the user would like to save output files at specific...

Currently the post processing steps are a bit unorganized, and the templates for that aren't easy to find ([example](https://github.com/tianjuxue/jax-fem/blob/05dcd2f46cdbc700b0f45c27f15516e341b69a25/applications/top_opt/fem_model.py#L151)). It would be a big help to have a general template...