ALAMODE

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

A program package for constructing interatomic force fields which explicitly consider lattice anharmonicity. In combination with a molecular dynamics simulator LAMMPS and an external first-principles package such as VASP and Quantum ESPRESSO, ALAMODE extracts harmonic/anharmonic force constants of solids and calculates phonon dispersion, phonon DOS, Gruneisen parameter, phonon-phonon scattering probability, lattice thermal-conductivity, anharmonic phonons at finite temperature, phonon free energy and so on.

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qmpy

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

Python library for the Open Quantum Materials Database, a first-principles computational database. qmpy supports several analysis tools such as crystal structures and phase diagrams. Users can perform automatic calculations using VASP.

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FMO in GAMESS

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

The fragment molecular orbital (FMO) method can efficiently do quantum-mechanical calculations of large molecular systems by splitting the whole system into small fragments. The FMO program is distributed within quantum-chemical program suite GAMESS-US. FMO can provide various information regarding the structure and function of biopolymers, such as the interaction between a protein and a ligand.

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Superconducting Toolkit (sctk)

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

An open-source application for evaluating superconducting gaps from resutls of the first-principles calculation by Quantum ESPRESSO. By calculating electron-phonon interaction and screened Coulomb interaction from the first-principles calculation, superconducting gaps can be obtained from the gap equation. Quasiparticle densities of states and ultrasonic attenuation rates can also be calculated.

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Inelastica

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

A pre/post-processing application for SIESTA and TranSIESTA. This application can calculate phonon frequencies, electron-phonon coupling, and contributions of inelastic scattering to the conductance. It also provides a Python interface for accessing data in the Hamiltonian output from SIESTA.

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PubChemPy

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

Python code for a chemical database, PubChem. Users can search data in PubChem by compound name, structural information and so on. It is also possible to receive outputs as a Pandas DataFrame.

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VASP TST tools

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

A package including patches and scripts for adding transition-state calculation to the first-principles calculation application VASP. This package adds new functions to VASP such as calculation of reaction paths, transition-state structures, and rate constants, as well as a set of scripts for setting up calculations and analyzing results. A program for the Bader analysis for atomic charge assignment is also included.

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Nano-Ignition

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

A support application for preparing input files of molecular dynamics calculation. This application supports manual input of atomic coordinates and bond informations, reading files of protain structure database, and editing data by graphical user interface. It also implements various functions such as addition of hydrogen atoms and composition of data. and can treat a large number of atoms using only a moderate memory cost.

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GASP

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

An application for structure prediction based on the genetic algorithm. This application can predict the structure and composition of stable phase of crystals, molecules, atomic clusters, and so on by using first-principles calculation and molecular dynamics. This application implements interfaces with various programs such as VASP, LAMMPS, MOPAC, GULP, JDFTx, etc, and runs efficiently on parallel computing architectures.

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BSA

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

Fitting data to a scaling law of critical phenomena, we automatically estimate critical point and indices. Since Bayesian method is flexible, we can use all data in a critical region.

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