# aimmd
[![codecov][codecov-badge]][codecov-link] [![Documentation Status][rtd-badge]][rtd-link] [![PyPI][pypi-badge]][pypi-link]
aimmd (AI for Molecular Mechanism Discovery) autonomously steers (a large number of) molecular dynamics simulations to efficiently sample and understand rare transition events.
## Installation
Installing aimmd from [PyPi][pypi-link] is as easy as:
```bash
pip install aimmd
```
For more see the [documentation](rtd-link).
## Documentation and Code Examples
Please see the [documentation](rt-link) for more information on aimmd and/or the jupyter notebooks in the `examples` folder for code examples.
## Contributing
All contributions are appreciated! Please refer to the [documentation][rtd-link] for information.
---
<sub>This README.md is printed from 100% recycled electrons.</sub>
[codecov-link]: https://app.codecov.io/gh/bio-phys/aimmd
[codecov-badge]: https://img.shields.io/codecov/c/github/bio-phys/aimmd
[rtd-link]: https://aimmd.readthedocs.io/en/latest/
[rtd-badge]: https://readthedocs.org/projects/aimmd/badge/?version=latest
[pypi-link]: https://pypi.org/project/aimmd/
[pypi-badge]: https://img.shields.io/pypi/v/aimmd
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