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)
- Simulations are run under NVT ensemble at job statepoint Temperature and density with 256 molecules of GCPM water.
- 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.
- 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
- Install the conda environment using the provide environment-gcpm.yml file.
- This is a Signac Row project. To check the project status, run
$ row show status - All runnable actions can be found in workflow.toml