An application for first-principles calculation by the joint-DFT method based on a plane-wave basis. By implementation of the joint-DFT method, this application realizes a good convergence for electronic state calculation of molecules in liquid, particular for charged systems. This application is written by C++11, and supports GPU calculation by CUDA. This application also supports diffusive Monte Carlo simulation in cooperation with CASINO.
A low-energy solver for a wide ranger of quantum lattice models (multi-orbital Hubbard model, Heisenberg model, Kondo-lattice model) by using variational Monte Carlo method. User can obtain high-accuracy wave functions for ground states of above models. Users flexibly choose the correlation factors in wavefunctions such as Gutzwiller, Jastrow, and doublon-holon binding factors and optimize more the ten thousand variational parameters. It is also possible to obtain the low-energy excited states by specifying the quantum number using the quantum number projection.
An open-source application for translating chemical structure format files. More than 110 formats are supported. This application is actively being developed taking into account use and construction of database and application to infomational technology in chemistry (chemoinformatics). A graphical user interface is alsp provided for Windows.
An electronic structure calculation program based on the density functional theory and the pseudo potential scheme with a plane wave basis set. This is a powerful tool to predict the physical properties of unknown materials and to simulate experimental results such as STM and EELS. This also enables users to perform long time molecular dynamics simulations and to analyze chemical reaction processes. This program is available on a wide variety of computers from single-core PCs to massive parallel computers like K computer. The whole source code is open to public.
Application for specifying and simulating lattice kinetic Monte Carlo models. It has been developed in the context of simulating heterogeneous catalysis. Models can be specified using provided python APIs or through a simple GUI.
Software to calculate physical quantities related to phonon in solids from result calculated using first principles calculation software. Results calculated from first principles calculation software such as VASP and Wien2k are used as an input.
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, HΦ.
OpenFFT is an open source parallel package for computing multi-dimensional Fast Fourier Transforms (3-D and 4-D FFTs) of both real and complex numbers of arbitrary input size. It originates from OpenMX (Open source package for Material eXplorer). OpenFFT adopts a communication-optimal domain decomposition method that is adaptive and capable of localizing data when transposing from one dimension to another for reducing the total volume of communication. It is written in C and MPI, with support for Fortran through the Fortran interface, and employs FFTW3 for computing 1-D FFTs.
An open-source application for molecular dynamics simulation of biomolecules. This application is optimized for massive parallel computing environments such as the K-computer, and can perform high-speed molecular dynamical simulation of proteins and biomolecules. This application supports both all atoms calculation and coarse-grained model calculation, and can treat extended ensemble such as a replica exchange method. This code is released under GPL license.
An open-source multi-purpose application for simulation of fluids and continuous fields. This application can treat complex fluids including chemical reaction, turbulence, thermal condition, and combustion as well as thermal conduction of solids, stress fields, magnetohydrodynamics, and so on. It supports parallel computing, and also prepares pre- and post-processing functions. It is coded by C++ to keep high efficiency in development, debugging, and maintenance.