Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

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

Uploaded Source

File details

Details for the file fodMC-1.2.2.tar.gz.

File metadata

  • Download URL: fodMC-1.2.2.tar.gz
  • Upload date:
  • Size: 47.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for fodMC-1.2.2.tar.gz
Algorithm Hash digest
SHA256 04a47bc556f0c03f6aca994f6456c84365fc2c71c6d356c1c4e330ebfc99a3a3
MD5 be4be96bf97ead98d5fe719b41bc844c
BLAKE2b-256 ea972fa0e1c3bb32879f696a3c69675c018715b83bdfe0714e044083fa8dca61

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page