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A mesh free molecular dynamics (MD) simulation for a fluid in an isothermal container

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Molecular Dynamics Simulation

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A program simulating Molecular Dynamics (MD) fluids, with the option to use custom pair potentials, with a range of initial lattice and boundary conditions.

Features

  • Multiple pair potentials (easily extensible):
    • Bounded Inverse Power (BIP)
    • Gaussian Core Model (GCM)
    • Exponential Pair Potential (EXP)
    • Lennard-Jones Pair Potential (LJ)
  • Multiple options for boundary conditions:
    • Periodic
    • Reflective
  • Multiple initial lattice starting positions:
    • Simple Cubic (SC)
    • Face Centred Cubic (FCC)
    • Body Centred Cubic (BCC)
    • Random, based on normal distributions
  • Multiple choices for iterative algorithms:
    • Explicit Verlet
    • Velocity Verlet
  • Statistical quantities calculation:
    • Mean Square Displacement (MSD)
    • Velocity Autocorrelation Function (VAF)
    • Radial Distribution Function (RDF)
    • Structure Factor (SFx, SFy, SFz)
  • 3D visualisation output through ParaView and CSV formatted logs
  • Fluid compression for phase transitions
  • Easy to use UI interface for setting up options
  • Unit and regression testing

Getting Started

Clone

You can clone the project with all its submodules with:

git clone --recurse-submodules https://github.com/GNikit/md-sim.git

Build

Build the library and the md executable:

make -j

Testing

To run the test regression tests run:

make tests
make unit-tests

To add tests look into the tests folder.

Running a simulation

The preferred way for passing in options for a run is through the use of a .xml file. Such .xml files can be found in the tests directory or made from scratch using diamond (more on that later)

The following will run a simulation using an .xml input

./bin/md schemas/input_schema.xml

However, libmd can still by manually passing arguments as seen from the two examples below. Code without the use of the xml parser can be found in the examples directory.

Use libmd in your C++ project

A minimal working example of how to use the libmd.a is shown below, make sure to link and include the static library and the header file MD.h to your program.

#include "MD.h"

int main() {
  options_type options;

  options.steps = 5000;                     // number of iterations
  options.density = 0.5;                    // fluid density
  options.target_temperature = 0.5;         // fluid thermostat temperature
  options.potential_type = "LennardJones";  // pair potential type
  options.particles = {10, 10, 10};         // number of particles in xyz
  // More fine tuning options are available see data_structures.h

  MD run(options);
  run.Simulation();
}

Alternatively, one can use the non-options data structures for initialising MD

#include "MD.h"

int main() {
  size_t steps = 5000;  // number of iterations
  double rho = 0.5;     // fluid density
  double t = 0.5;       // fluid temperature

  MD run(steps, {10, 10, 10}, "SimpleCubic");
  run.Simulation("demo_", rho, t, NAN, NAN, "LennardJones");
}

Visualise using ParaView

To enable visualisation of the particles set the io/track_particles option to true in the schema, or directly set options.io_options.visualise = true before running a simulation.

Then load the xzy_data_...csv into ParaView, select Table of Points from the available filters, set x, y and z positions. For a nicer view, change the default representation Surface to Point Gaussian and increase the Gaussian Radius. A full set of instructions on how to load CSV files to Paraview can be found here.

Periodic Boundary conditions for a Lennard-Jones fluid Reflective Boundary conditions for a Lennard-Jones fluid
Alt Alt

Visualising log files

The log files produced from a run (if io options have been enabled) contain a range of statistical quantities indicative of how the fluid develops over time. The files are in CSV format, so almost any plotting tool can be used to visualise their values. A Python submodule in included under tools/md-tools that uses numpy and matplotlib, but the code is far from complete or robust.

Using diamond and libspud

This project relies on spud to easily read and set options from input files. Spud offers a visualisation tool called diamond to view the input options using a GUI. By default calling make on the top directory of md-sim compiles libspud and installs diamond and its helper functions in bin.

Use the following command to launch the GUI against a test_file.xml

./bin/diamond -s schemas/main_schema.rng test_file.xml

alt

For more information about the diamond GUI see spud/doc/spud_manual.pdf

Updating the schema

If the schema files (rnc) are modified the rng files need to updated too. This can be done be calling:

make schema

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A mesh free molecular dynamics (MD) simulation for a fluid in an isothermal container

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