OVITO

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

An open-source application for visualization of atoms and molecules developed for molecular dynamics. This application supports a number of input file formats for molecular configration, and can perform visualization of three-dimensional atom configration as well as creation of a animation. The main feature of this application is that various useful analysis tools can be used by intuitive control of a graphical user interface (GUI).

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HOOMD-blue

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

An open-source multi-purpose application for many-particle simulation. This application prepares various kinds of statistical methods and potentials, and can perform simulation of rigid-body mechanics, Langevin dynamics, dissipative-particle dynamics, nonequilibrium molecular dynamics, and so on. It prepares python scripts for production of initial conditions, job submission, and analysis of results.

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OpenKIM

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

Open-source tools and a database for molecular simulation. Data of molecular models (interatomic potentials and force fields), result data of molecular simulation, and test tools can be downloaded freely. API (Application Programming Interface) for exchanging information between atomistic simulation codes and interatomic models is also provided.

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n2p2

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Software package that implements Behler-Parinello type neural network potential. The package provides tools for training and evaluating potentials based on given structure-energy data. It also provides an interface with LAMMPS for performing molecular dynamics calculations.

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MDACP

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

MDACP (Molecular Dynamics code for Avogadro Challenge Project) is an efficient implementations of classical molecular dynamics (MD) method for the Lennard-Jones particle systems. MDACP Ver. 1.xx adopts flat-MPI and Ver. 2.xx adopts MPI+OpenMP hybrid parallelization.

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RuNNer

  • Level of openness 1 ★☆☆
  • Document quality 2 ★★☆

FORTRAN-based software package developed by the Behler Group for implementing Behler-Parinello neural network potentials. Potentials can be constructed, evaluated, and used for molecular dynamics simulations using LAMMPS. The newest generation of neural network potentials that take into account long-range electrostatic interactions are implemented.

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CHARMM

  • Level of openness 0 ☆☆☆
  • Document quality 2 ★★☆

A general-purpose application for molecular dynamics simulation equipped with many tools. This package was originally developed for biomolecules (peptides, proteins, nuclear acids, etc.), and the current version can perform molecular dynamics simulation for various systems such as solutions, crystals, membranes, and so on. It supports several sampling methods and calculation of free energy. It also supports various computing environments including both serial and parallel computers.

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MARBLE

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

An open-source application for molecular dynamics to simulate biopolymers such as proteins and nuclear acids. This application can perform high-speed molecular dynamics simulation by hybrid parallel computing maintaining high-accuracy energy conservation. This application also support high-speed calculation of long-range interaction based on the particle mesh Ewald method. The code is released under GPL lisense.

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MLIP

  • Level of openness 1 ★☆☆
  • Document quality 2 ★★☆

Software package that implements moment tensor potentials. Potentials can be trained and used for molecular dynamics calculations using LAMMPS. Active learning combined with molecular dynamics calculations is also available.

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VASPsol

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Application for performing first-principles simulations with an implicit solvent model. The code is released as a patch to VASP. The user can perform molecular dynamics as well as reaction analysis using e.g., nudged elastic band method.

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