https://github.com/bbye98/gcme
Source code for journal article "GCMe: Efficient Implementation of the Gaussian Core Model with Smeared Electrostatic Interactions for Molecular Dynamics Simulations of Soft Matter Systems" by Benjamin Ye, Shensheng Chen, and Zhen-Gang Wang
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Repository
Source code for journal article "GCMe: Efficient Implementation of the Gaussian Core Model with Smeared Electrostatic Interactions for Molecular Dynamics Simulations of Soft Matter Systems" by Benjamin Ye, Shensheng Chen, and Zhen-Gang Wang
Basic Info
- Host: GitHub
- Owner: bbye98
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://arxiv.org/abs/2403.08148
- Size: 733 KB
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- Stars: 1
- Watchers: 1
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Metadata Files
README.md
Gaussian core model with smeared electrostatics (GCMe)
This repository contains the code used in the journal article
Ye, B. B.; Chen, S.; Wang, Z.-G. GCMe: Efficient Implementation of Gaussian Core Model with Smeared Electrostatic Interactions for Molecular Dynamics Simulations of Soft Matter Systems. 2024. https://doi.org/10.48550/ARXIV.2403.08148.
Pre-requisites
The Python scripts require
- Python 3.9 or later,
- OpenMM,
- MDCraft 1.1 or later and its dependencies, and
- either
constvpluginoropenmm-ic-plugin
to be installed.
The LAMMPS scripts have been tested to run on the 21 Nov 2023 release
with the fix imagecharges command from lammps-fix-imagecharges.
Older LAMMPS builds will likely have to use the fix imagecharges
command from lammps-fixes
instead due to recent internal LAMMPS API changes.
Directory
├── benchmark
│ ├── ljcoul_ic_real.lmp # LAMMPS: WCA/Coulomb system w/ image charges
│ ├── ljcoul_slab_real.lmp # LAMMPS: Slab WCA/Coulomb system
│ ├── ljcoul_ic.py # OpenMM: WCA/Coulomb system w/ image charges
│ ├── gcme_bulk_real.lmp # LAMMPS: Bulk GCMe system
│ ├── gcme_ic_real.lmp # LAMMPS: GCMe system w/ image charges
│ ├── gcme_slab_real.lmp # LAMMPS: Slab GCMe system
│ └── gcme_all.py # OpenMM: GCMe systems w/ all three BCs
├── analysis_gcme.ipynb
├── npt_water.py
├── nvt_polyanion_counterion_solvent.py
└── nvt_water.py
The benchmark directory contains scripts to run simulations of simple
coarse-grained systems for the benchmark results in the "Performance"
section of the paper.
The npt_water.py script runs NpT simulations of coarse-grained "water"
particles at different pressures and repulsion parameters to determine
the key GCMe parametrization relationship in the "Parametrization"
section of the paper. The nvt_water.py script runs NVT simulations of
the parametrized GCM so that the most probable pair separation distance
can be determined using the radial distribution function.
The nvt_polyanion_counterion_solvent.py script runs NVT simulations of
polyanions, their counterions, and solvent particles confined between
two planar perfectly conducting or nonmetal electrodes using OpenMM as
part of the "Illustrative examples" section of the paper.
The analysis_gcme.ipynb Jupyter notebook analyzes and plots all
equations and simulation data included in the paper.
Owner
- Login: bbye98
- Kind: user
- Location: Pasadena, CA
- Company: California Institute of Technology
- Twitter: bbye98
- Repositories: 1
- Profile: https://github.com/bbye98
Chemical engineering Ph.D. candidate at Caltech
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