lammps Goto Github PK
Name: LAMMPS Developers
Type: Organization
Bio: Development of the LAMMPS Molecular Dynamics Simulator and Related Projects
Location: United States of America
Blog: https://www.lammps.org
Name: LAMMPS Developers
Type: Organization
Bio: Development of the LAMMPS Molecular Dynamics Simulator and Related Projects
Location: United States of America
Blog: https://www.lammps.org
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) version 2. The code is maintained by the LAMMPS development team who can be emailed at [email protected]. The LAMMPS WWW Site at www.lammps.org 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 cmake CMake build files doc documentation examples simple test problems fortran Fortran wrapper for LAMMPS lib additional provided or external libraries potentials interatomic potential files python Python wrappers for LAMMPS src source files tools pre- and post-processing tools Point your browser at any of these files to get started: https://docs.lammps.org/Manual.html LAMMPS manual https://docs.lammps.org/Intro.html hi-level introduction https://docs.lammps.org/Build.html how to build LAMMPS https://docs.lammps.org/Run_head.html how to run LAMMPS https://docs.lammps.org/Commands_all.html Table of available commands https://docs.lammps.org/Library.html LAMMPS library interfaces https://docs.lammps.org/Modify.html how to modify and extend LAMMPS https://docs.lammps.org/Developer.html LAMMPS developer info You can also create these doc pages locally: % cd doc % make html # creates HTML pages in doc/html % make pdf # creates Manual.pdf
The CSlib library provides a client/server messaging protocol by which stand-alone codes can interact
The fftMPI library performs 2d/3d FFTs in parallel for grids distributed across MPI processes.
Public development project of the LAMMPS MD software package
Scripts, tools, documentation and supporting libraries and files for building pre-compiled LAMMPS packages
Collection of LAMMPS plugins
Collection of regression tests for LAMMPS MD code
A web version of LAMMPS.
Learning Molecular Dynamics with LAMMPS
Stripped down collection of BLAS/LAPACK functions converted to C++ for use with LAMMPS
Pizza.py is a loosely integrated collection of tools written in Python, many of which provide pre- and post-processing capability for the LAMMPS molecular dynamics package.
LAMMPS Lexer for Pygments
Github Action to set up a Developer Command Prompt for Microsoft Visual C++
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.