RAQET

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

A program package for electronic state calculations based on two-component relativistic quantum chemical theories. Several schemes and algorithms, which are specialized in calculations of molecules containing heavy elements, have been implemented. Single-point energies for ground and excited states, geometry optimizations, and molecular properties are available. Furthermore, the package can perform accurate calculations for molecules including many heavy atoms such as metal clusters with practical computational cost.

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Libxc

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

Libxc is an library for exchange-correlation functions in the density functional theory. This has been developed for the purpose that well-tested exchange-correlation functions can be easily used in any DFT codes. In Libxc, users can find several types of exchange-correlation functions: LDA, GGA, hybrid-GGA, and meta-GGA.

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  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

Kω implements large-scale parallel computing of the shifted Krylov subspace method. Using Kω, dynamical correlation functions can be efficiently calculated. This application includes a mini-application for calculating dynamical correlation functions of quantum lattice models such as the Hubbard model, the Kondo model, and the Heisenberg model in combination with the quantum lattice solver of quantum many-body problems, .

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EVO

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

An application for structure prediction based on the evolutionary algorithm. From an input of the atomic position in a unit cell and possible elements at each atomic position, this application predicts the stable structure and composition from the first-principles calculation and molecular dynamics in combination with the evolutionary algorithm. This application is written in Python, and uses Quantum ESPRESSO and GULP as an external program.

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Calypso

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

An application for prediction of stable and metastable structures from a chemical composition. This application applies particle swarm optimization to predict material structures from results of the first-principles calculation by external packages (VASP, CASTEP, Quantum Espresso, GULP, SIESTA, CP2k). It has been applied to predict not only three-dimensional crystal structures, but also those of clusters and surfaces.

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Siesta

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

An open-source application for first-principles calculation utilizing pseudo-potentials and atom-localized basis sets. This application is capable of performing electronic structure calculations, structural relaxation, and molecular dynamics in a wide range of systems based on density functional theory. By adopting atom-localized basis sets, it realizes high-speed electronic calculation and linear-scaling in suitable computer systems. It can also perform electronic conductance calculations based on non-equilibrium Green’s function method.

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Tecplot

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

Payware for visualization of computational fluid dynamics and general numerical simulation. This application provides an integrated environment for two- and three- dimensional graph drawing, and supports interactive visualization of data with many options such as slices, contours, and stream traces. It also supports visualization of large-scale data and efficient comparison between many data sets.

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PFAPACK

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

Library for calculating Pfaffian (square root of determinant), which is defined for skew-symmetric matrices. Algorithms are implemented in several languages (Fortran, Python, Matlab, Mathematica) and users can choose favorite one. Interfaces for C are also provided.

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Rasmol

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

A simple open-source application for visualization compatible to Protein Data Bank (PDB) format. This application also supports other formats such as Sybyl, Molden, Mopac, and CHARMM. It is a pioneering piece of software as an interactive PDB viewer.

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QuCumber

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

QuCumber is an open-source Python package that implements neural-network quantum state reconstruction of many-body wavefunctions from measurement data such as magnetic spin projections, orbital occupation number. Given a training dataset of measurements, QuCumber discovers the most likely quantum state compatible with the measurements by finding the optimal set of parameters of a restricted Boltzmann machine (RBM).

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