Skip to content

CalCraven/Self-Diffusion-Study

Repository files navigation

Replicate Tables 5,6 in GCPM Table

Data source is

  • From dimer to condensed phases at extreme conditions: Accurate predictions of the properties of water by a Gaussian charge polarizable model, Patrice Paricaud; Milan Předota; Ariel A. Chialvo; Peter T. Cummings, J. Chem. Phys. 122, 244511 (2005)

Simulation Details


  1. Simulations are run under NVT ensemble at job statepoint Temperature and density with 256 molecules of GCPM water.
  2. Initial frames are subset.lammps, which is a subset of the molecules from init.lammps, set to the correct box dimensions and number of particles.
  3. Water self-diffusivity is calculated using the Nernst-Einstein shifting window method, with a window size of 500ps, over a proudction trajectory of 1 ns. Data is stored in signac_job_document.json as ["Diffusion"] and plots of msd as msd_plot.png

Setup

  1. Install the conda environment using the provide environment-gcpm.yml file.
  2. This is a Signac Row project. To check the project status, run $ row show status
  3. All runnable actions can be found in workflow.toml

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages