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 interface package to use Torch (the open-source numerical library for machine learning) from Python. Users can easily implement deep learning based on neural networks, and can use various state-of-the-art methods. This package supports GPGPU parallel computation, and realises high-speed operation. A front-end interface for C++ is also prepared.
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.
An open-source application for quantum chemical calculation. This package implements various methods for quantum chemical calculation such as Hartree-Fock approximation, density functional theory, coupled-cluster method, and CI (configuration interaction) method. The package is written in C++, and provides API for Python, by which users can perform for preparation of setting and execution of calculation.
An open-source application for molecular simulations. This application supports various methods such as classical and ab initio molecular dynamics, path integral simulations, replica exchange simulations, metadynamics, string method, surface hopping dynamics, QM/MM simulations, and so on. A hierarchical parallelization between molecular structures (replicas) and force fields (adiabatic potentials) enables fast and efficient computation.
An application for three-dimensional visualization with the ray tracing method. This application can visualize arbitrary positions and shapes of objects such as spheres and cubes. It can visualize three-dimensional data obtained from computational fluid dynamics etc. by volume rendering. It can also be used for simple three-dimensional graphical simulator with macro functions.
PAICS is a program of quantum chemical calculation. In this program, fragment molecular orbital (FMO) method is adopted, by which large molecules including biomolecular systems can be treated with several quantum chemical approaches including HF and MP2 methods. At the same time, PaicsView has been developed, which is a supporting program for making input files and analyzing calculation results.
A python library for materials analysis. Flexible classes for representation of materials are prepared, and data for crystal structures and various material properties can be handled efficiently. This application can performs analysis of phase diagrams, Pourbaix diagrams, diffusion analyses etc. as well as electronic structure analyses such as density of states and band structures. This software is being actively developed keeping close relation with Materials Project.
An application for visualization of biopolymers. This application can visualize biopolymers by using its original command line and graphical user interface, more than 600 settings for visualization, and more than 20 visualization schemes. This application also supports more than 30 file formats such as PDB and multi-SDF, and can utilize sophisticated visualization methods such as the ray tracing.
An open-source application for analysis and visualization of two- and three-dimensional data. The function of this application can be used not only by interactive operation with three-dimensional display, but also by batch processing. This application supports various environments such as Windows, Mac, and Linux from a desktop PC to a supercomputer performing large scale parallel computation.