Skip to main content

A SEAMM plug-in to setup, run and analyze semiempirical calculations with MOPAC

Project description

SEAMM MOPAC plug-in

GitHub pull requests Build Status Code Coverage Code Quality Documentation Status PyPi VERSION

A SEAMM plug-in to setup, run and analyze semiempirical calculations with MOPAC.

This plug-in provides a graphical user interface (GUI) for setting up and running simulations using the semiempirical quantum chemistry code MOPAC.

Features

  • Single-point energies

  • Structural optimization

  • IR and Raman vibrational frequencies

  • Temperature dependent thermodynamic functions

  • Results can be stored in flowchart variables or tables.

Acknowledgements

This package was created with Cookiecutter and the molssi-seamm/cookiecutter-seamm-plugin project template.

Developed by the Molecular Sciences Software Institute (MolSSI), which receives funding from the National Science Foundation under award ACI-1547580

History

2023.6.5 – Bugfix working around MOPAC problem
  • MOPAC is not consistent about putting end of file and end of program markers in the AUX file. This caused carashed in SEAMM, which this fixes until MOPAC can be corrected.

2023.4.24 – Bugfixes for Lewis structure
  • Correctly handle periodic systems in Lewis structure.

  • Fixed and issue with the Lewis structure GUI not displaying all the widgets.

2023.3.31 – Bugfix

Lewis structure could reference a variable before it was set, and crash.

2023.3.15 – Bugfix

A copy of the input and output files for MOPAC was inadvertently written to the main job directory. This has been fixed.

2023.2.13 – Added Lewis Structure step

Provide access to the ‘LEWIS’ keyword in MOPAC for generating the Lewis dot structure. This step also allows assigning the bonds of the system using either the connectivity or the Lewis structure.

2022.11.18 – Printing spins on atoms

Fixed an oversight that preventing printing spins on the atoms, and storing them on the structure. Also increased the precision of the AUX file so have coordinates to seven decimals, which should maintain symmetry better.

2022.11.4 – Added ForceConstant substep

Calculates and writes the Hessian (force constant) matrix to disk. Works for both molecular and periodic systems, and provides an option to control which parts of the Hessian matrix are written. Defaults to the full matrix. Also provides options to control the units of the output, with default of N/m for the atom block of the Hessian as well as the atom-cell off-diagonal block, and GPa for the cell block.

2021.2.11 (11 February 2021)

  • Updated the README file to give a better description.

  • Updated the short description in setup.py to work with the new installer.

  • Added keywords for better searchability.

2021.2.4 (4 February 2021)

  • Updated for compatibility with the new system classes in MolSystem 2021.2.2 release.

2020.12.5 (5 December 2020)

  • Internal: switching CI from TravisCI to GitHub Actions, and in the process moving documentation from ReadTheDocs to GitHub Pages where it is consolidated with the main SEAMM documentation.

2020.11.2 (2 November 2020)

  • Updated to be compatible with the new command-line argument handling.

2020.10.7 (7 October 2020)

  • Updated to handle citations using the new framework.

2020.9.29 (29 September 2020)

  • Updated to be compatible with the new system classes in MolSystem.

2020.8.1 (1 August 2020)

  • Fixed bug caused by coordinates being strings, not numbers, in some cases.

2020.7.0 (23 July 2020)

  • Improved the text output when running.

0.9 (15 April 2020)

  • General bug fixes and cleanup of the code.

0.7.0 (17 December 2019)

  • Consolidating minor changes and making a uniform release at year’s end.

0.5.1 (29 August 2019)

  • First version that runs correctly and generates output.

0.2.0 (13 August 2019)

  • First release on PyPI.

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

mopac_step-2023.6.5.tar.gz (349.4 kB view details)

Uploaded Source

Built Distribution

mopac_step-2023.6.5-py2.py3-none-any.whl (79.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file mopac_step-2023.6.5.tar.gz.

File metadata

  • Download URL: mopac_step-2023.6.5.tar.gz
  • Upload date:
  • Size: 349.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for mopac_step-2023.6.5.tar.gz
Algorithm Hash digest
SHA256 1d30658573dffef0d103e461b923961a65dd148449622710a9e54ce61ab5dbab
MD5 70bce54185e3768111fd93dccc104637
BLAKE2b-256 1275157d36af12713a9cd9db7fa231071522d57d3252eba9d661526ea2d6c70c

See more details on using hashes here.

File details

Details for the file mopac_step-2023.6.5-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for mopac_step-2023.6.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a42ff272e6da0876cb4d26b7de00f3f2a51618ace4638f7dfc5f28b794ea5c0c
MD5 94d1b7b1a75f4e7c717bc1572c321004
BLAKE2b-256 e6345e4667704834ae1b926691bbcdd2bfe41604a9c06af818acfe004d8060f4

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