Amber

  • Level of openness 0 ☆☆☆
  • Document quality 3 ★★★

Program package for molecular dynamics simulation. This package includes various material parameters such as peptides, proteins, nuclear acids, carbohydrates, ligands etc., and can perform molecular dynamics simulation of biological macromolecule and cells. This package consists of software for input preparation, simulation, and analysis of results, and is widely used in pharmacy and biological science.

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M2TD

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  • Document quality 1 ★☆☆

This software is for constructing inter-atomic force fields that mostly fit the results of ab-initio calculations, using multi-canonical molecular dynamic simulations. Various potential functions such as silicon, ionic crystal, and water have been pre-installed, and the user’s potential function can also be used. The default ab initio calculation solver is xTAPP and other calculation libraries are also applicable.

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QDS

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  • Document quality 1 ★☆☆

QDS (Quantum Dynamics Simulator) is a program for computing magnetization curves and spectra of electron-spin resonance (ESR) in molecular magnets. Input data of this program can be magnetic interactions, the shape of a molecule, etc. Calculation is carried out with the combination of exact diagonalization, the quantum master equation, and the Kubo formula. It can be chosen whether the dissipation exists or not in the calculations of dynamical magnetization curves.

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MLIP

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  • 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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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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NCON

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

A MATLAB function for the contraction process of a tensor network. It takes as input a tensor network and a contraction sequence describing how to contract the network to a single tensor or number. It returns a single tensor or number as output. This function can be obtained by downloading the preprint source.

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Zindaiji3

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

An application for visualization of large-scale many-particle simulation. This application can visualize information on a large number of particles treated in calculation of gravitational many-body problems, and provides many features for creating animations. It implements high-speed visualization with OpenGL, and supports graphical user interface (GUI) for operations.

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ALPSCore/CT-HYB

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

An open-source impurity solver based on the quantum Monte Carlo method. Thermal equilibrium states of interacting impurity systems, such as the impurity Anderson model, can be evaluated by the continuous-time hybridization-expansion quantum Monte Carlo method. It can be used as a solver of effective impurity models derived from the dynamical mean-field theory (DMFT) and can deal with multi-orbital models. This package supports parallel computation by MPI and is developed based on the ALPSCore library.

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abICS

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

Software framework for training a machine learning model to reproduce first-principles energies and then using the model to perform configurational sampling in disordered systems. It has been developed with an emphasis on multi-component solid-state systems such as metal and oxide alloys. At present, Quantum Espresso, VASP and OpenMX can be used as first-principles energy calculators, and aenet can be used to construct neural network potentials.

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TeNeS

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

A solver program for two dimensional quantum lattice model based on a projected entangled pair state wavefunction and the corner transfer matrix renormalization group method.
This works on a massively parallel machine because tensor operations are OpenMP/MPI parallelized.

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