aimmd
aimmd (AI for Molecular Mechanism Discovery) autonomously steers (a large number of) molecular dynamics simulations to efficiently sample and understand rare transition events.
If you use aimmd in published work please cite:
- H. Jung, R. Covino, A. Arjun, C. Leitold, C. Dellago, P.G. Bolhuis and G. Hummer. Machine-guided path sampling to discover mechanisms of molecular self-organization. Nature Computational Science 3, 334–345 (2023). doi:10.1038/s43588-023-00428-z
Installation
Installing aimmd from PyPi is as easy as:
pip install aimmd
For more see the documentation.
Documentation and Code Examples
Please see the documentation 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 for information.
This README.md is printed from 100% recycled electrons.
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