An open-source library for machine learning. Various functions on deep learning based on neural network can be used by this package. This package is especially customised for image identification, and a number of sample codes are prepared. Users can also use pre-trained models, which are open in Caffe Model Zoo. Since this package is written in C++, high-speed operation is realised.
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 open-source first-principles calculation library for pseudopotential and all-electron calculations. One of or a mixture of Gaussian and plane wave basis sets can be used. A lot of the development focuses on massively parallel calculations and linear scaling. The user can choose various calculation methods including density functional theory and Hartree-Fock.
A first-principles simulation program based on the pseudopotential method utilizing Gaussian basis sets. It can perform simulations based on Hartree-Fock and density functional theories. It can be run under Unix/Linux, and also provides a simple GUI for Windows. Binaries are distributed for a fee, but users can first try the evaluation copy.
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.
Software for first-principles calculation based on pseudo-potential and plane-wave basis. This software performs electronic-state calculation of various systems by density functional theory, and can treat structure optimization, excited-state analysis, and so on. This software can be applied to many physical phenomena such as catalysis reaction, calculation of phase diagram, etc. There are many users of this payware in the world.
An open-source library for machine learning. Various functions on machine learning/deep learning are implemented in this package. Using flexible user-friendly description, various types of networks from simple to complex ones can be implemented. GPGPU parallel computation based on CUDA is also supported.
Program libraries for alloy modeling analysis using a cluster expansion method. Energy of alloy systems evaluated by other electronic state calculation libraries is used as an input, and atomic configuration effects are evaluated with the accuracy of a first principles calculation. Ground state structures, evaluation of thermodynamic quantities, equilibrium diagrams, disordering by temperature, etc. can be calculated with high accuracy.
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.
This application can produce input files of various applications for density functional theory (DFT) calculations via user-friendly parameter adjustment using three-dimensional computer graphics (3DCG) and graphical user interfaces (GUI). Input-file conversion between different applications is also possible.