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A python data analysis library for computer simulations

Project description

pymattersim

Summary

Physics-driven data analyis of computer simulations for materials science, chemistry, physics, and beyond.

Installation

pip install PyMatterSim

pip install git@github.com:yuanchaohu/pymattersim.git

Documentation

The documentation is now available online.

Requirements

  • python 3.6 or higher
  • numpy
  • pandas
  • freud-analysis
  • scipy
  • sympy
  • gsd (optional)
  • mdtraj (optional)
  • voro++ (optional, standalone binary)

Usage

Please refer to the /docs/ for documentation and examples. Some examples are provided from the unittest modules (tests/)

Types of computer simulations

  1. LAMMPS
    1. atom type & molecular type such as patchy particle, rigid body, molecules et al.
    2. x, xs, xu type particle positions
    3. orthagonal / triclinic box
  2. Hoomd-blue
    1. GSD for structure analysis (need gsd==3.2.0)
    2. GSD + DCD for dynamics analysis (need gsd==3.2.0 and mdtraj==1.9.9)
  3. VASP (to be added)
  4. Any type of simulators as long as the input were formatted well, modifying the reader module to use the computational modules.

Notes

Voro++ is recommend to install separately for specific Voronoi analysis. Some of the analysis from the original voro++ is maintained from the freud-analysis package developed by the Glozter group.

Citation

Working in progress

References

UnitTest

Please run the bash scripts available from shell/ for unittests. As follows are test statistics:

Test # Tests and Runtime Status
test_dynamics Ran 15 tests in 10.303s OK
test_neighbors Ran 11 tests in 91.711s OK
test_reader Ran 11 tests in 0.270s OK
test_static Ran 28 tests in 298.248s OK
test_utils Ran 30 tests in 4.997s OK
test_writer Ran 3 tests in 0.005s OK

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