An application for data analysis of X-ray absorption fine structure (XAFS). Experimental data of XAFS can be analyzed by various analysis methods. This application supports various analysis functions (high-speed Fourier analysis, fitting in a radial coordinate or k-space, data plotting, etc.) based on IFEFFIT, and includes useful graphical user interface (GUI).
An application for ab initio quantum chemical calculation. This application can calculate ground states and excited states of molecules by the SCF/DFT, the CASSCF/RASSCF, and the CASPT2/RASPT2 method. It is architected especially for obtaining potential energy surfaces of excited states, and maintains high-speed, high-accuracy, and robust open codes.
An application for first-principles calculation based on the order-N method. This application can perform electronic-state calculation and band calculation for various physical systems. It supports the DFT+U method, the time-dependent DFT method, molecular dynamics, etc., and can also treat van der Waals forces and phonons. By using support applications, generation of input files, transformation between different file formats, and analysis of numerical results can be performed.
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.
Open-source program for first-principles calculation based on pseudo-potential and plane-wave basis. This package performs electronic-state calculation with high accuracy based on density functional theory. In addition to basic-set programs, many core-packages and plugins are included. This package can be utilized for academic research and industrial development, and also supports parallel computing.
A Python framework for easy creation, manipulation and optimization of quantum algorithms for NISQ (Noisy Intermediate Scale Quantum Computer). A simulator for the quantum processor in the Xmon architecture provided by Google has also been supported.
An application for calculating transport coefficients based on the Boltzman equation. Within the relaxation time approximation, transport coefficients such as the Hall coefficient and the Seebeck coefficient can be evaluated from the output of the first principles calculation applications (Wien2k, ABINIT, SIESTA, quantum ESPRESSO, VASP). If users can measure relaxation time experimentally, electric conductivity can also be evaluated.
An application for X-ray spectroscopy analysis based on atomic multiple-state calculation. This application performs multiplet calculation for transition-metal and rare-earth elements by taking into account effect of crystal fields and charge transfer, and can determine physical parameters by comparison between theory and experimental data via fitting. It implements useful graphical user interface(GUI), realizing intuitive operation.
An application for visualization of large-scale many-particle simulation. This application can visualize information on a large number of particles treated in calculation of gravitational many-body problems, and provides many features for creating animations. It implements high-speed visualization with OpenGL, and supports graphical user interface (GUI) for operations.
An open-source numerical library for machine learning. Various functions related to deep learning are implemented. This package directly treats equations as such, and have useful routines such as matrix operation and auto partial derivative. Users can convert their codes into C language, and can compile it. High speed operation by GPGPU parallel calculation is supported. A number of tutorials are available.