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https://github.com/molssi-seamm/lammps_step
A SEAMM plug-in for LAMMPS, a forcefield-based molecular dynamics code.
https://github.com/molssi-seamm/lammps_step
computational-chemistry computational-materials-science lammps molssi molssi-seamm
Last synced: about 1 month ago
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A SEAMM plug-in for LAMMPS, a forcefield-based molecular dynamics code.
- Host: GitHub
- URL: https://github.com/molssi-seamm/lammps_step
- Owner: molssi-seamm
- License: other
- Created: 2018-01-20T23:46:51.000Z (almost 7 years ago)
- Default Branch: main
- Last Pushed: 2024-08-22T14:40:23.000Z (4 months ago)
- Last Synced: 2024-10-28T22:19:45.497Z (about 2 months ago)
- Topics: computational-chemistry, computational-materials-science, lammps, molssi, molssi-seamm
- Language: Python
- Homepage:
- Size: 11.9 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- Changelog: HISTORY.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Authors: AUTHORS.rst
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README
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:alt: PyPi VERSION====================
SEAMM LAMMPS Plug-in
====================A SEAMM plug-in for LAMMPS, a forcefield-based molecular dynamics code.
This plug-in provides a graphical user interface (GUI) for setting up
complex simulations using LAMMPS. It uses a sub-flowchart that
provides steps such as constant pressure and temperature (NPT)
dynamics which give access to the functionality in LAMMPS in a more
consistent and understandable way than the inscrutable fixes that
LAMMPS uses.These sub-flowcharts mirror the main flowchart in form and function
and can use the same variables such as temperature and pressure that
are accessible anywhere in the flowcharts. This allows "programming" a
LAMMPS workflow in the same familiar way that SEAMM uses to represent
the overall workflow.* Free software: BSD license
* Documentation: https://molssi-seamm.github.io/lammps_step/index.html
* Code: https://github.com/molssi-seamm/lammps_stepFeatures
--------* Use of any forcefield supported by the forcefield plug-in:
- PCFF
- OpenKIM: EAM, MEAM, LJ, ReaxFF* Molecular statics: minimization
* Molecular dynamics: NVE, NVT, and NPT with any of the approaches
supported in LAMMPS
* Automatic statistical analysis of averages from MD- Detection of equilibration
- Mean and standard error of the mean for the sampling after
equilibration
- Autocorrelation function and time
- Statistical inefficiency
- Plotting of results in the Dashboard* Using property values to drive MD. Rather than running MD for a
length of time, automatically run long enough to determine a set of
properties within given error bars.Acknowledgements
----------------This package was created with Cookiecutter_ and the `molssi-seamm/cookiecutter-seamm-plugin`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`molssi-seamm/cookiecutter-seamm-plugin`: https://github.com/molssi-seamm/cookiecutter-seamm-pluginDeveloped by the Molecular Sciences Software Institute (MolSSI_),
which receives funding from the `National Science Foundation`_ under
award ACI-1547580.. _MolSSI: https://www.molssi.org
.. _`National Science Foundation`: https://www.nsf.gov