Muse is a python package for fast building amorphous solids and liquid mixtures based on relaxed solid-state structures on Materials Project using Packmol and machine learning interatomic potentials/force fields (MLIPs/MLFFs), especially universal interatomic potentials (UIPs) such as MACE and CHGNet.
If you'd like to develop and/or build the muse book, you should:
- Clone this repository
- Run
pip install -r requirements.txt(it is recommended you do this within a virtual environment) - (Optional) Edit the books source files located in the
docs/directory - Run
jupyter-book clean docs/to remove any existing builds - Run
jupyter-book build docs/
A fully-rendered HTML version of the book will be built in docs/_build/html/.
Please see the Jupyter Book documentation to discover options for deploying a book online using services such as GitHub, GitLab, or Netlify.
For GitHub and GitLab deployment specifically, the cookiecutter-jupyter-book includes templates for, and information about, optional continuous integration (CI) workflow files to help easily and automatically deploy books online with GitHub or GitLab. For example, if you chose github for the include_ci cookiecutter option, your book template was created with a GitHub actions workflow file that, once pushed to GitHub, automatically renders and pushes your book to the gh-pages branch of your repo and hosts it on GitHub Pages when a push or pull request is made to the main branch.
We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.
This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.