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Fermi-orbital descriptor Monte-Carlo

Project description

fodMC - Fermi-orbital descriptor Monte-Carlo

license language language version DOI

Installation

Using pip

$ pip3 install fodMC

or install locally

$ git clone https://gitlab.com/opensic/fodMC.git
$ cd fodMC
$ pip3 install -e .

The Python module is called fodmc.

Example

Download the CH4 molecule as 3D mol file.
Afterwards, run the following Python script

from fodMC.pyfodmc import pyfodmc
from fodMC.pyfodmc.mol2fodmc import mol2fodmc

mol2fodmc('CH4.mol')
pyfodmc.get_guess('PyFLOSIC','CH4.xyz')

More examples can be found in the examples folder.

Citation

For publications, please consider citing the following articles

  • Interpretation and automatic generation of Fermi-orbital descriptors
    S. Schwalbe et al., J. Comput. Chem. 40, 2843-2857, 2019

  • Chemical bonding theories as guides for self-interaction corrected solutions: multiple local minima and symmetry breaking
    K. Trepte, S. Schwalbe, S. Liebing, W. T. Schulze, J. Kortus, H. Myneni, A. V. Ivanov, and S. Lehtola
    arXiv e-prints, Subject: Computational Physics (physics.comp-ph), 2021, arXiv:2109.08199
    J. Chem. Phys., vol. 155, no. 22, p. 224109, 2021

  • Why the energy is sometimes not enough - A dive into self-interaction corrected density functional theory
    S. Liebing, K. Trepte, and S. Schwalbe
    arXiv e-prints, Subject: Chemical Physics (physics.chem-ph); Computational Physics (physics.comp-ph), 2022, arXiv:2201.11648

ATTENTION

While the fodMC can create FODs for
any system, we do not recommend using
guesses for systems containing transition metals.

Project details


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fodMC-1.2.2.tar.gz (47.4 kB view hashes)

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