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Fafoom - Flexible algorithm for optimization of molecules

Fafoom is a tool for sampling the conformational space of organic molecules. Fafoom is intended to work with FHI-aims (Fritz Haber Institute ab initio molecular simulations package).

Requirements

  • functionality of the tool:

    • Python 2.7
    • Numpy
    • RDKit (used version: Release_2014_09_2)
  • first-principles methods:

    • (recommended) FHI-aims (Fritz Haber Institute ab initio molecular simulations package)
    • (alternative) NWChem (NWChem: Open Source High-Performance Computational Chemistry)

How to use

1) Clone the fafoom repository
git clone https://github.com/adrianasupady/fafoom
2) Export the fafoom directory to you PYTHONPATH
3) In python:
import fafoom

Examples of usage

Three examples are provided with the source code in the examples folder:

  • genetic algorithm based search utilizing first-principles (FHI-aims required)
  • genetic algorithm based search utilizing force fields (force fields accessed from RDKit)
  • genetic algorithm based search utilizing first-principles via NWChem (NWChem required)

Get familiar with the provided manual to learn more about the tool and the parameters.

License

Fafoom is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

Fafoom is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with fafoom. If not, see http://www.gnu.org/licenses/.

Copyright 2015 Adriana Supady

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