forked from lammps/lammps
-
Notifications
You must be signed in to change notification settings - Fork 0
Public development project of the LAMMPS MD software package
License
suemni/lammps
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
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
About
Public development project of the LAMMPS MD software package
Resources
License
Stars
Watchers
Forks
Packages 0
No packages published
Languages
- C++ 77.1%
- Tcl 12.2%
- Fortran 3.8%
- Cuda 1.9%
- Jupyter Notebook 1.6%
- C 1.2%
- Other 2.2%