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lammps/examples/mdi/README

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These are examples that work the MDI package in LAMMPS which uses the
MolSSI MDI library for coupling codes together and communicating
between them with MDI messages.
Within the MDI context, one code is the driver and another code is
the engine. The 2 codes can be written in any language; C++ (LAMMPS)
and Python are illustrated here. The 2 codes can each be stand-alone
codes, in which case they can be run on different numbers of processors.
The 2
codes can communicate either via TCP (sockets) or via MPI. For the
TCP case, the driver and engine need to be launched separately,
e.g. in 2 windows on your desktop machine. For the MPI case, a single
mpirun command launches both codes.
Alternatively the engine code can be a plugin library which the driver
code loads, in which case the driver and engine run on the same
processors.
LAMMPS supports operating in all these MDI modes. It can be an engine
operating either as a stand-alone code or as a plugin. It can also be
a driver and couple to an engine that is either a stand-alone code or
a plugin. Examples for all these use cases are in this directory.
The Run.sh file shows how run in all the modes. Type "sh Run.sh"
to try them all out.
To use LAMMPS as a plugin engine, you must build it as a shared
library. Something like this with make, which also builds the normal
LAMMPS executable lmp_mpi:
cd src
make yes-mdi
make mode=shlib mpi
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Examples 4 and 5 use Python scripts as MDI drivers. For this you will
need Python 3 with Numpy and mpi4py installed. Make sure LAMMPS and
Python/mpi4py are using same the same version of MPI.
You will also need MDI installed in your Python. You cannot use the
LAMMPS build of the MDI library for this, b/c LAMMPS builds MDI as a
static library, not shared, which Python requires.
You can install MDI in your Python via conda:
% conda install -c conda-forge pymdi=1.4.1
or via pip:
% pip install pymdi==1.4.1
It is likely fine to leave off the version number, to get the latest
MDI version. But to be safe, 1.4.1 is the version LAMMPS is currently
using.
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5 example use-cases are explained below.
In the first 3 examples, results running with MDI should be identical
to running without MDI (alone log files). Example #4 has no non-MDI
run. Example #5 results should match the non-MDI run of example #1.
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* Example #1 = run ab initio MD (AIMD)
Two instances of LAMMPS operate as a driver and engine. As an engine,
LAMMPS is a surrogate for a quantum code.
You can compare the thermo output in log.aimd.alone.1 to the thermo output in
any of the log.aimd.driver* files. It should be identical.
Note that the "alone" and "driver" input scripts have options for
running in NVE vs NPT Comment in/out the appropriate line to make
change. Nothing needs to be changed in the "engine" scripts.
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* Example #2 = run LAMMPS, compute QM forces on snapshots from a long run
Two instances of LAMMPS operate as a driver and engine. As an engine,
LAMMPS is a surrogate for a quantum code
You can compare the thermo output in log.snapshot.alone.1 to the
thermo output in any of the log.snapshot.driver* files. It should be
identical.
You can compare the dumped forces in dump.snapshot.alone.1 to the
forces in any of the dump.snapshot.* files. They should be identical,
although at step 0 the forces are "zero" and may be epsilon different.
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* Example #3 = run LAMMPS, compute QM forces on series of independent systems
Two instances of LAMMPS operate as a driver and engine. As an engine,
LAMMPS is a surrogate for a quantum code
You can compare the thermo output in log.series.alone.1 to the thermo
output in any of the log.series.driver* files. It should be
identical.
You can compare the dumped forces in dump.series.alone.1 to the forces
in any of the dump.series.* files. They should be identical,
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* Example #4 = Python driver runs a sequence of unrelated LAMMPS calculations
Each calculation can be a single-point evaluation, MD run, or
minimization
The sequence_driver.py code allows for optional switches in addition
to -mdi (required) and the -plugin and -plugin_args switches which are
used to link to an engine as a plugin library. The example run
commands below just use the default values of the optional switches.
The switches are also explained at the top of the file; the info is
copied here:
# -n 3
# number of calculations to perform, default = 3
# -mode eval/run/min
# style of calculations: single snapshot evals, dynamics, minimization
# default = run
# -size Nx Ny Nz
# cubic lattice, default = 2 2 2
# -rho 0.75 0.1
# reduced density and random variation thereof, default = 0.75 0.1
# -delta 0.1
# randomly perturb atoms initially by this distance, default 0.1
# -nsteps 100
# number of timesteps in dynamics runs, default = 100
# -temp 1.0
# initial temperature in dynamics runs, default = 1.0
# -tol 0.001
# tolerance for minimizations, default = 0.001
# -seed 12345
# random number seed > 0, default = 12345
You can compare the thermo output in any of the log.sequence.engine.*
files. It should be identical.
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* Example #5 = run AIMD with Python driver code and 2 LAMMPS instances as engines
First LAMMPS instance performs the MD timestepping. Second LAMMPS
instance is surrogate QM to compute forces.
The aimd_driver.py code allows for an optional switch in addition to
-mdi (required) and the -plugin and -plugin_args swiches which are
used to link to the 2 engines as a plugin libraries. The example run
commands below use the default values of the optional switch. The
switch is also explained the top of the file; the info is copied here:
# -nsteps 10
# number of timesteps in dynamics runs, default = 10
This calculation is the same as Example #1 with a LAMMPS driver and a
LAMMPS engine. Now there is a Python driver and two LAMMPS engines.
You can compare the thermo output in log.aimd.alone.1 output to the
thermo output is any of the log.sequence.engine.* files. It should be
identical for the Total Energy printed out by the Python driver script.
E.g. Step 10: MM energy 1.69875, QM energy -6.31535, Total energy -4.6166