An exact diagonalization package for a wide range of quantum lattice models (e.g. multi-orbital Hubbard model, Heisenberg model, Kondo lattice model). HΦ also supports the massively parallel computations. The Lanczos algorithm for obtaining the ground state and thermal pure quantum state method for finite-temperature calculations are implemented. In addition, dynamical Green’s functions can be calculated using Kω, which is a library of the shifted Krylov subspace method. It is possible to perform simulations for real-time evolution from ver. 3.0.
Server for computing exact ground state of Ising model with random interacitons (Ising spin glasses). Users can specify the distributions of the interactions and the geometry of lattices. By inputting the informaiont of the model, users will receive the computational results by e-mail from the server.
A free software library for numerical diagonalization of quantum spin systems. Although the programs are based on TITPACK, they have been completely rewritten in C/C++ and several extensions have been added. It can handle, for example, the Heisenberg model, the Hubbard model, and the t-J model. This library supports dimension reduction of matrices exploiting symmetries, and it can run in parallel computing environments.
An application for the Rietveld analysis used in X-ray and neutron diffraction experiments. This application determines lattice constants and atomic coordinates from X-ray and neutron diffraction data on powder samples by pattern fitting based on the maximum entropy method (MEM). It can also analyze materials with random atomic configuration effectively. It supports Windows and Mac OS, and is still being developed actively.
An application for atomic multiplet calculation used in X-ray spectroscopies. This application consists of several calculation modules and graphical user interface, and can perform multiplet calculation of atoms. It can take into account effect of crystal fields and charge transfer, both of which are important in transition-metal compounds, and can provide useful information to interpret experimental results obtained in various inner-shell electron X-ray spectroscopies.
An open-source framework for execution management of numerical simulation. By registering target simulators, information at the time of execution (parameters, date and time, hostname, version of simulators, etc.) and calculation results are saved automatically on database. Job submission and browse of job status can be performed efficiently from web browsers.
An application for ab initio quantum chemical calculation. This application performs electronic structure calculation of molecules by the Hartree-Fock, density functional, many-body perturbation, configuration interaction theories, and so on. This application is free only for academic use in United Kingdom. Although it histrically shares core programs with GAMESS-US, different functions have been added in later development.
A collection of C++ interfaces for simulation of mesoscale properties based on grid data. By using provided header files, one can easily construct programs for simulation of various phenomena such as solidification, crystal growth, and spinodal decomposition, based on a Monte Carlo method, cellar automaton, and a phase-field method. This interface supports parallel computing by MPI, and also provides converters of output files for visualization software such as ParaView.
A open-source application of first-principles calculation for the electronic structure, using the KKR method, a variant of Green’s function method. It is based on the density functional theory and is applicable to crystals and surfaces. The coherent potential approximation (CPA) is adopted, so it can handle not only periodic systems, but also disordered alloys. It can also handle spin-orbit interaction and non-collinear magnetism.
CONQUEST is a linear-scaling DFT (Density Functional Theory) code based on the density matrix minimization method. Since its computational cost, for both memory and computational costs, is only proportional to the number of atoms N of the target systems, the code can employ structure optimization or molecular dynamics on very large-scale systems, including more than hundreds of thousands of atoms. It also has high parallel efficiency and is suitable for massively parallel calculations.