<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>External Tools on LAMMPS Molecular Dynamics Simulator</title><link>https://www.lammps.org/ecosystem/tools/</link><description>Recent content in External Tools on LAMMPS Molecular Dynamics Simulator</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.lammps.org/ecosystem/tools/index.xml" rel="self" type="application/rss+xml"/><item><title>PAPRECA</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;PAPRECA (PArallel PREdefined CAtalog; developer: Stavros Ntioudis, Imperial
College London) is a hybrid off-lattice kinetic Monte Carlo / molecular dynamics
(kMC/MD) framework. It couples a parallel off-lattice kMC solver with LAMMPS
(used as an MD engine library) to resolve both high-activation-energy processes
(e.g. adsorption) and high-frequency events (e.g. atomic vibrations). It supports
predefined off-lattice events such as reactions, adsorption/desorption, and
diffusion hops, and — like LAMMPS — is driven by input files, so no C++
experience is required. Example applications include adsorption/desorption on
catalytic surfaces, amorphous thin films, and self-diffusion of gases or solids.&lt;/p&gt;</description></item><item><title>ELBA-LAMMPS</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;ELBA-LAMMPS (author: Mario Orsi) is a toolkit that assists LAMMPS users in
simulating the ELBA coarse-grain model (Orsi &amp;amp; Essex, &lt;em&gt;PLoS One&lt;/em&gt; 6: e28637,
2011). It includes installation guidelines, simulation examples, analysis
scripts, and tools for visualization with VMD.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.lammps.org/images/ecosystem/elba/elbaCG_lipid-water.jpg" target="_blank" rel="noopener"&gt;&lt;img src="https://www.lammps.org/images/ecosystem/elba/elbaCG_lipid-water_small.jpg" alt="ELBA coarse-grain lipid and water" loading="lazy" height="100"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;ELBA coarse-grain model of a DOPC phospholipid (left) and a water molecule
(right): coarse-grain electrostatics are represented by positive/negative point
charges and point dipoles (arrows). Click the image for a larger version.&lt;/p&gt;</description></item><item><title>EPSL</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;EPSL (easy-pair-table-lammps; author: Luke K. Davis, UCL) is a Python tool to
create any pair potential for use with LAMMPS'
&lt;a href="https://docs.lammps.org/pair_table.html"&gt;pair_style table&lt;/a&gt;, and provides an
automatic check against the
&lt;a href="https://docs.lammps.org/pair_write.html"&gt;pair_write&lt;/a&gt; output.&lt;/p&gt;</description></item><item><title>LIGGGHTS</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;LIGGGHTS (LAMMPS Improved for General Granular and Granular Heat Transfer
Simulations; author: Christoph Kloss, JKU /
&lt;a href="https://www.dcs-computing.com"&gt;DCS Computing&lt;/a&gt; /
&lt;a href="https://www.cfdem.com"&gt;CFDEM project&lt;/a&gt;) is a standalone code focused on granular
material modeling that uses LAMMPS internally as a particle engine. On top of the
LAMMPS GRANULAR features it adds rewritten contact formulations (including
macroscopic particle cohesion), import and handling of triangular CAD meshes, a
moving-mesh feature, improved particle insertion, and a model for heat generation
and conduction between particles in contact. It stays backward-compatible with
LAMMPS, so all LAMMPS features remain available.&lt;/p&gt;</description></item><item><title>PLUMED</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;PLUMED is a plugin for free-energy calculations in molecular systems that can be
interfaced with many popular molecular dynamics codes through a simple patching
procedure. It supports metadynamics with a wide variety of order parameters,
combined parallel tempering and metadynamics, bias-exchange metadynamics,
umbrella sampling, and steered MD, among many other features, with support for
LAMMPS, Quantum-ESPRESSO, NAMD, GROMACS, and more.&lt;/p&gt;</description></item><item><title>VOTCA</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;VOTCA is a set of tools for creating coarse-grained models, simulating charge
transport, and more. Its coarse-graining toolkit (VOTCA-CSG) includes Boltzmann
inversion for bonded potentials, iterative Boltzmann inversion, inverse Monte
Carlo, and force matching, with support for processing LAMMPS dump files.&lt;/p&gt;</description></item><item><title>GARFfield</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;GARFfield (author: Andres Jaramillo-Botero, Caltech) is a multi-platform,
multi-objective parallel hybrid genetic-algorithm / conjugate-gradient force-field
optimization framework. It enables first-principles-based force-field parameter
optimization from quantum-mechanical and phenomenological data sets, and supports
multiple reactive and non-reactive force fields through LAMMPS — it is
particularly suited to developing reactive force fields such as ReaxFF and
eFF-ECP. It can produce Pareto-optimal parameters with hill-climbing,
fixed/random training-set weights, and deterministic conjugate-gradient
refinement near minima. See A. Jaramillo-Botero, S. Naserifar, W. A. Goddard III,
&lt;em&gt;J. Chem. Theory Comput.&lt;/em&gt; &lt;strong&gt;10&lt;/strong&gt;(4), 1426–1439 (2014),
&lt;a href="https://doi.org/10.1021/ct5001044"&gt;doi:10.1021/ct5001044&lt;/a&gt;.&lt;/p&gt;</description></item><item><title>Jazz</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;Jazz is a physics research code for calculating the lifetimes of vibrational
modes in solids, implemented as a Python wrapper for LAMMPS, which provides the
energies and forces for any interatomic potential available in LAMMPS. The
anharmonic character of the normal modes is computed via the Monte Carlo-based
moments approximation (M. Daw and co-workers). Lead: Prof. Murray Daw (Clemson);
contributors: Ted Dickel, Yang Gao, Hengjia Wang. Distributed as open-source
software.&lt;/p&gt;</description></item><item><title>USPEX</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;USPEX enables crystal-structure prediction at arbitrary pressure–temperature
conditions given just the chemical composition, with a high success rate. It can
also find low-energy metastable phases, stable structures of nanoparticles,
surface reconstructions, and molecular packings, and search for materials with
desired mechanical or electronic properties. Based on an efficient evolutionary
algorithm (with alternatives such as random sampling, metadynamics, and corrected
PSO), USPEX is interfaced with many DFT and classical codes, including VASP,
SIESTA, GULP, Quantum Espresso, CP2K, CASTEP, and LAMMPS.&lt;/p&gt;</description></item><item><title>LAMMPS extension for VS Code</title><link/><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid/><description>&lt;p&gt;An extension of the &lt;a href="https://code.visualstudio.com/"&gt;Visual Studio Code&lt;/a&gt; editor
for LAMMPS input files, available through the editor&amp;rsquo;s extension system, the
&lt;a href="https://marketplace.visualstudio.com/items?itemName=thfriedrich.lammps"&gt;VS Marketplace&lt;/a&gt;,
or &lt;a href="https://github.com/ThFriedrich/lammps_vscode/releases"&gt;GitHub&lt;/a&gt;. Features
include keyword/syntax highlighting, embedded offline documentation,
autocompletion, hover information, a task provider for running LAMMPS in the
editor terminal, input-file checks, and a dashboard for interactive plots of logs
and atomic dumps. See the &lt;a href="https://thfriedrich.github.io/lammps_vscode/"&gt;documentation&lt;/a&gt;.&lt;/p&gt;</description></item></channel></rss>