lammps/doc/Section_example.txt

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"Previous Section"_Section_howto.html - "LAMMPS WWW Site"_lws - "LAMMPS Documentation"_ld - "LAMMPS Commands"_lc - "Next Section"_Section_perf.html :c
:link(lws,http://lammps.sandia.gov)
:link(ld,Manual.html)
:link(lc,Section_commands.html#comm)
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7. Example problems :h3
The LAMMPS distribution includes an examples sub-directory with
several sample problems. Each problem is in a sub-directory of its
own. Most are 2d models so that they run quickly, requiring at most a
couple of minutes to run on a desktop machine. Each problem has an
input script (in.*) and produces a log file (log.*) and dump file
(dump.*) when it runs. Some use a data file (data.*) of initial
coordinates as additional input. A few sample log file outputs on
different machines and different numbers of processors are included in
the directories to compare your answers to. E.g. a log file like
log.crack.foo.P means it ran on P processors of machine "foo".
For examples that use input data files, many of them were produced by
"Pizza.py"_http://pizza.sandia.gov or setup tools described in the
"Additional Tools"_Section_tools.html section of the LAMMPS
documentation and provided with the LAMMPS distribution.
If you uncomment the "dump"_dump.html command in the input script, a
text dump file will be produced, which can be animated by various
"visualization programs"_http://lammps.sandia.gov/viz.html. It can
also be animated using the xmovie tool described in the "Additional
Tools"_Section_tools.html section of the LAMMPS documentation.
If you uncomment the "dump image"_dump.html command in the input
script, and assuming you have built LAMMPS with a JPG library, JPG
snapshot images will be produced when the simulation runs. They can
be quickly post-processed into a movie using commands described on the
"dump image"_dump_image.html doc page.
Animations of many of these examples can be viewed on the Movies
section of the "LAMMPS WWW Site"_lws.
These are the sample problems in the examples sub-directories:
balance: dynamic load balancing, 2d system
body: body particles, 2d system
colloid: big colloid particles in a small particle solvent, 2d system
comb: models using the COMB potential
crack: crack propagation in a 2d solid
cuda: use of the USER-CUDA package for GPU acceleration
dipole: point dipolar particles, 2d system
dreiding: methanol via Dreiding FF
eim: NaCl using the EIM potential
ellipse: ellipsoidal particles in spherical solvent, 2d system
flow: Couette and Poiseuille flow in a 2d channel
friction: frictional contact of spherical asperities between 2d surfaces
gpu: use of the GPU package for GPU acceleration
hugoniostat: Hugoniostat shock dynamics
indent: spherical indenter into a 2d solid
intel: use of the USER-INTEL package for CPU or Intel(R) Xeon Phi(TM) coprocessor
kim: use of potentials in Knowledge Base for Interatomic Models (KIM)
line: line segment particles in 2d rigid bodies
meam: MEAM test for SiC and shear (same as shear examples)
melt: rapid melt of 3d LJ system
micelle: self-assembly of small lipid-like molecules into 2d bilayers
min: energy minimization of 2d LJ melt
msst: MSST shock dynamics
nb3b: use of nonbonded 3-body harmonic pair style
neb: nudged elastic band (NEB) calculation for barrier finding
nemd: non-equilibrium MD of 2d sheared system
obstacle: flow around two voids in a 2d channel
peptide: dynamics of a small solvated peptide chain (5-mer)
peri: Peridynamic model of cylinder impacted by indenter
pour: pouring of granular particles into a 3d box, then chute flow
prd: parallel replica dynamics of vacancy diffusion in bulk Si
qeq: use of the QEQ pacakge for charge equilibration
reax: RDX and TATB models using the ReaxFF
rigid: rigid bodies modeled as independent or coupled
shear: sideways shear applied to 2d solid, with and without a void
snap: NVE dynamics for BCC tantalum crystal using SNAP potential
srd: stochastic rotation dynamics (SRD) particles as solvent
tad: temperature-accelerated dynamics of vacancy diffusion in bulk Si
tri: triangular particles in rigid bodies :tb(s=:)
vashishta: models using the Vashishta potential
Here is how you might run and visualize one of the sample problems:
cd indent
cp ../../src/lmp_linux . # copy LAMMPS executable to this dir
lmp_linux -in in.indent # run the problem :pre
Running the simulation produces the files {dump.indent} and
{log.lammps}. You can visualize the dump file as follows:
../../tools/xmovie/xmovie -scale dump.indent :pre
If you uncomment the "dump image"_dump_image.html line(s) in the input
script a series of JPG images will be produced by the run. These can
be viewed individually or turned into a movie or animated by tools
like ImageMagick or QuickTime or various Windows-based tools. See the
"dump image"_dump_image.html doc page for more details. E.g. this
Imagemagick command would create a GIF file suitable for viewing in a
browser.
% convert -loop 1 *.jpg foo.gif :pre
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There is also a COUPLE directory with examples of how to use LAMMPS as
a library, either by itself or in tandem with another code or library.
See the COUPLE/README file to get started.
There is also an ELASTIC directory with an example script for
computing elastic constants at zero temperature, using an Si example. See
the ELASTIC/in.elastic file for more info.
There is also an ELASTIC_T directory with an example script for
computing elastic constants at finite temperature, using an Si example. See
the ELASTIC_T/in.elastic file for more info.
There is also a USER directory which contains subdirectories of
user-provided examples for user packages. See the README files in
those directories for more info. See the
"Section_start.html"_Section_start.html file for more info about user
packages.