Skip to main content

Build Interface Systems for Molecular Dynamics Simulations

Project description

Logo

mdinterface: Build Interface Systems for Molecular Dynamics Simulations

PyPI version GitHub version Documentation

mdinterface is a Python package for building systems for Molecular Dynamics (MD) simulations. Initially developed for electrolyte/electrode solid-liquid interfaces, it is equally suited for pure solvent boxes, mixed-solvent electrolytes, and polymer networks.

Features

  • Layer-by-layer SimCell builder: add slabs, solvent regions, and vacuum gaps one step at a time; call .build() when done.
  • ASE & MDAnalysis integration: the assembled box converts to ase.Atoms or mda.Universe with a single call, ready for any downstream tool.
  • Multi-solvent support: mix solvents by molar ratio + density, ratio + total count, or explicit per-species molecule counts.
  • Ion placement: dissolve ions by count, molar concentration, or a spatially-varying concentration profile.
  • PACKMOL integration: handles molecular packing automatically; tolerance and dilation are tunable per layer.
  • Configurable stacking axis: build along Z (default) and permute to X or Y at the end.
  • Polymer builder: generate chains of arbitrary length from a monomer Specie.
  • AIMD with FAIRChem: run ML-potential dynamics via FAIRChem (optional).
  • RESP charges: estimate partial charges with PySCF / gpu4pyscf (optional).
  • Force-field database: pre-defined parameters for common metals, noble gases, water models, and ions; or generate OPLS-AA parameters on the fly with LigParGen.
  • LAMMPS output: writes data files and force-field coefficient blocks ready to run.
  • GROMACS output (experimental): write .gro, .top, and per-species .itp files directly from SimCell.write_gromacs() or Specie.write_gromacs_itp().

Requirements

Check requirements.txt for mandatory dependencies. pip install mdinterface handles them automatically.

You also need packmol installed and on your PATH:

conda install -c conda-forge packmol

Optional packages

LigParGen (automatic OPLS-AA parameters)

Follow the instructions on the LigParGen GitHub (or try this fork if you hit installation issues). Point mdinterface to your BOSS backend via config.ini:

# ~/.config/mdinterface/config.ini  (path is OS-dependent)
[settings]
BOSSdir = /path/to/boss          # native directory
# BOSSdir = /path/to/boss.sif   # Apptainer/Singularity container
# BOSSdir = boss-container:latest  # Docker image

BOSS is a 32-bit binary that can be awkward to run on modern systems. The boss-container repo provides a ready-to-build Docker/Apptainer image that handles the 32-bit library setup.

RESP charges with PySCF

Install PySCF and PyMBXAS. RESP fitting currently requires gpu4pyscf.

AIMD with FAIRChem

pip install fairchem-core

Installation

  • Python 3.8+
  • PACKMOL (see above)
# Stable release
pip install mdinterface

# Development version
git clone https://github.com/roncofaber/mdinterface.git
cd mdinterface
pip install -e .

Optional extras:

pip install mdinterface[resp]   # RESP charge analysis
pip install mdinterface[aimd]   # FAIRChem AIMD
pip install mdinterface[all]    # everything

Quick start

from mdinterface import SimCell
from mdinterface.database import Water, Metal111

water = Water()
gold  = Metal111("Au")

simbox = SimCell(xysize=[15, 15])
simbox.add_slab(gold, nlayers=3)
simbox.add_solvent(water, zdim=20, density=1.0)
simbox.build()

atoms = simbox.to_ase()    # ase.Atoms — ready for AIMD, ML-MD, or any other tool

For LAMMPS, add ions and call write_lammps() instead:

from mdinterface.database import Ion

na = Ion("Na", ffield="Cheatham")
cl = Ion("Cl", ffield="Cheatham")

simbox = SimCell(xysize=[15, 15], verbose=True)
simbox.add_slab(gold, nlayers=3)
simbox.add_solvent(water, solute=[na, cl], nsolute=[5, 5], zdim=25, density=1.0)
simbox.add_slab(gold, nlayers=3)
simbox.build(padding=0.5)
simbox.write_lammps("data.lammps", atom_style="full", write_coeff=True)

More complete scripts are in the examples/ directory:

Script What it shows
electrode_interface.py Au / NaCl electrolyte / Au sandwich
solvent_box.py Pure solvent + dissolved species
multisolvent_box.py Mixed-solvent box with ratio/density/count modes
multilayer.py Five-layer multi-slab system
sandwich_from_traj.py Electrode / membrane / electrode sandwich from an equilibrated MD trajectory
polymer/polymer_piperion.py Co-polymer membrane box with explicit hydration number

Full API reference and user guide: roncofaber.github.io/mdinterface

The legacy SimulationBox API is still available and unchanged; see examples/legacy/.

Roadmap

Since the original idea was to make a package to build MD boxes layer by layer, I am strongly debating renaming everything as "Workflow for Easy Molecular DYnamics Simulations", aka WEMDYS.

Questions & Issues

Sir, this is a WEMDY'S. Please contact me or open an issue, glad to talk about ideas and improvements!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mdinterface-1.5.2.tar.gz (219.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mdinterface-1.5.2-py3-none-any.whl (245.5 kB view details)

Uploaded Python 3

File details

Details for the file mdinterface-1.5.2.tar.gz.

File metadata

  • Download URL: mdinterface-1.5.2.tar.gz
  • Upload date:
  • Size: 219.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mdinterface-1.5.2.tar.gz
Algorithm Hash digest
SHA256 0b87b2f69b7cf8a4d06bcecb6bfa67e4110d9dc08f857b57471d88cc47d64199
MD5 20431f4c26a20c6a7e741287ff726155
BLAKE2b-256 632829ef01c3fa403335ff80fe5312351b68c7baa62e4390c4f723e53f4891cf

See more details on using hashes here.

Provenance

The following attestation bundles were made for mdinterface-1.5.2.tar.gz:

Publisher: publish.yml on roncofaber/mdinterface

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mdinterface-1.5.2-py3-none-any.whl.

File metadata

  • Download URL: mdinterface-1.5.2-py3-none-any.whl
  • Upload date:
  • Size: 245.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mdinterface-1.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5b45a1ce7755b64a2de49d9c936c0fe3a39ccd79b68ce4ca04527836791151a6
MD5 ff521e488c9c8db654a76edbe34fdcb2
BLAKE2b-256 bdcc271512b0b5a65901311f36f0cf85dd951e8e527b08790915d79a196507f7

See more details on using hashes here.

Provenance

The following attestation bundles were made for mdinterface-1.5.2-py3-none-any.whl:

Publisher: publish.yml on roncofaber/mdinterface

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page