GEMDAT 1.4.0

Generalized Molecular Dynamics Analysis Tool

GEMDAT

Gemdat is a Python library for the analysis of diffusion in solid-state electrolytes from Molecular Dynamics simulations. Gemdat is built on top of Pymatgen, making it straightforward to integrate it into your Pymatgen-based workflows.

With Gemdat, you can:

• Explore your MD simulation via an easy-to-use Python API
• Load and analyze trajectories from VASP and LAMMPS simulation data
• Find jumps and transitions between sites
• Effortlessly calculate tracer and jump diffusivity
• Characterize and visualize diffusion pathways
• Plot radial distribution functions

To install:

pip install gemdat

The source code is available from Github.

Suggestions, improvements, and edits are most welcome.

Usage

The following snippet to analyze the diffusion trajectory from VASP data.

from gemdat import Trajectory

trajectory = Trajectory.from_vasprun('../example/vasprun.xml')

trajectory.plot_displacement_per_element()

diff_trajectory = trajectory.filter('Li')

diff_trajectory.plot_displacement_per_atom()
diff_trajectory.plot_displacement_histogram()
diff_trajectory.plot_frequency_vs_occurence()
diff_trajectory.plot_vibrational_amplitudes()

Characterize transitions and jumps between sites:

from gemdat.io import load_known_material

sites = load_known_material('argyrodite', supercell=(2, 1, 1))

transitions = trajectory.transitions_between_sites(
    sites=sites,
    floating_specie='Li',
)

jumps = transitions.jumps()

jumps.plot_jumps_vs_distance()
jumps.plot_jumps_vs_time()
jumps.plot_collective_jumps()
jumps.plot_jumps_3d()

jumps.jump_diffusivity(dimensions=3)

To calculate different metrics, such as tracer diffusivity:

from gemdat import TrajectoryMetrics

metrics = TrajectoryMetrics(diff_trajectory)

metrics.tracer_diffusivity(dimensions=3)
metrics.haven_ratio(dimensions=3)
metrics.tracer_conductivity(dimensions=3)
metrics.particle_density()
metrics.vibration_amplitude()

Development

Check out our Contributing Guidelines to get started with development.

How to Cite

• Victor Azizi, Stef Smeets, Anastasiia K. Lavrinenko and Simone Ciarella. GEMDAT (Version 1.4.0) [Computer software]. https://github.com/GEMDAT-repos/GEMDAT, doi: 10.5281/zenodo.8401669

Credits

The code in this repository is based on Matlab code to analyse Molecular Dynamics simulations.

For background information on how some of the properties are calculated, check out the accompanying paper:

• Niek J.J. de Klerk, Eveline van der Maas and Marnix Wagemaker, ACS Applied Energy Materials, (2018), doi: 10.1021/acsaem.8b00457