DDMRG (DynamicalDMRG) is a program for analyzing the dynamical properties of one-dimensional electron systems by using the density matrix renormalization group method. It simulates excited or photo-induced quantum phenomena in Mott insulators, spin-Peierls materials, organic materials, etc. Parallel computational procedures for linear and non-linear responses in low dimensional electron systems and analyzing routines for relaxation processes of excited states induced by photo-irradiation are available.
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.
An application for the single-crystal analysis and the Rietveld analysis used in X-ray and neutron diffraction experiments. This application determines crystal structure models of materials from X-ray and neutron diffraction data on single-crystal and powder samples. It has been developed based on Python. Graphical user interface (GUI) can be used.
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. It supports Windows and Linux. For Windows version, graphical user interface (GUI) named WinPLOTR can be used.
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 open-source application for simulation of one-dimensional interacting electron models based on a tensor product wavefunction method. This application supports not only electronic models but also spin and bosonic models, and can evaluate various physical quantities for ground states and low-lying excited states. This application also supports time evolution, and can treat models with long-range interactions.
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.
An open-source application for micromagnetic simulation from an atomic scale to an micro-meter scale. This application can perform dynamical simulation of spins and phase-space search based on a Monte Calro method. This application can also treat complex systems such as antiferromagnets and alloys. The code is written in object-oriented programing, and is optimized for efficient parallel computing.
An open-source application for first-principles calculation based on the PAW method. By utilizing real-space or atom-localized basis sets, this application performs electronic structure calculation based on the density functional theory as well as the GW approximation. Simulations are set up using the interface provided by Atomic Simulation Environment (ASE). The code is written in C and python, and is available under GPL.
An application for prediction of stable and metastable structures from a chemical composition. For prediction of structures, this application combines the first-principles calculation by external packages (VASP, GULP, siesta, Quantum Espresso, STM4, CP2k, etc.) with various efficient algorithms such as the evolutionary algorithm.
It can be applied to prediction of, e.g., structure of crystals under extreme pressure, nanoparticles, and surface reconstruction.