lammps/lammps-git-tutorial

Name: lammps-git-tutorial

Owner: LAMMPS Developers

Description: GitHub Tutorial Repo for the LAMMPS workshop (DEMO ONLY)

Created: 2017-06-30 15:32:11.0

Updated: 2017-07-27 02:57:34.0

Pushed: 2017-08-01 17:50:39.0

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Size: 80856

Language: C++

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README

Training repository of LAMMPS Workshop 2017

If you are looking for the official LAMMPS repo, please go to https://github.com/lammps/lammps


This is the LAMMPS software package.

LAMMPS stands for Large-scale Atomic/Molecular Massively Parallel Simulator.

Copyright (2003) Sandia Corporation. Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains certain rights in this software. This software is distributed under the GNU General Public License.


LAMMPS is a classical molecular dynamics simulation code designed to run efficiently on parallel computers. It was developed at Sandia National Laboratories, a US Department of Energy facility, with funding from the DOE. It is an open-source code, distributed freely under the terms of the GNU Public License (GPL).

The primary author of the code is Steve Plimpton, who can be emailed at sjplimp@sandia.gov. The LAMMPS WWW Site at lammps.sandia.gov has more information about the code and its uses.

The LAMMPS distribution includes the following files and directories:

README this file LICENSE the GNU General Public License (GPL) bench benchmark problems couple code coupling examples using LAMMPS as a library doc documentation examples simple test problems lib libraries LAMMPS can be linked with potentials interatomic potential files python Python wrapper on LAMMPS as a library src source files tools pre- and post-processing tools

Point your browser at any of these files to get started:

doc/Manual.html the LAMMPS manual doc/Section_intro.html hi-level introduction to LAMMPS doc/Section_start.html how to build and use LAMMPS doc/Developer.pdf LAMMPS developer guide


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.