Program package for first-principles calculation based on all-electron calculation method and augmented plane-wave basis. This package performs electronic-state calculation such as band calculation of solids, structure optimization, first-principles molecular dynamics, and so on. All-electron method, which treats core electrons, improves accuracy in calculation compared with pseudo-potential method, and enables us to obtain chemical shifts related to core electrons. This payware can be used by making a contract with the developer.
An open-source numerical library for machine learning. Using other machine learning numerical libraries (TensorFlow, CNTK, Theano, etc.), users can construct neural networks by relatively short codes. Since a number of methods in machine learning and deep learning are implemented, users can try state-of-the-art methods easily. This package is written by Python.
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 analysis of extended X-ray absorption fine structure (EXAFS) based on the multiple scattering theory. This application implements relativistic self-consistent calculation using the muffin-tin approximation to evaluate atomic phase shift including effect of neighboring atoms. Spectra with any number of edges can be treated simultaneously. Complex background multi-electron excitation can also be evaluated.
An open-source application for first-principles calculation based on pseudopotential and wavelet basis. Electronic state calculation of massive systems is performed with high accuracy and high efficiency by using adaptive mesh. Parallel computing by MPI, OpenMP, and GPU is also supported.
Code for performing many-body calculations based on the GW method, BSE method, etc. starting from Kohn-Sham wave functions obtained using density functional theory. The code relies on wave function output from either abinit or Quantum Espresso. A python interface, Yambo-py, is also under development.
An open-source numerical library for machine learning. Various functions related to deep learning based on neural networks are implemented. Users can implement complex network with flexible description, and can try various state-of-the-art methods. This package is used in a number of companies in the world. This package is written by the script language, lua.
Program package for molecular dynamics simulation. This package includes various material parameters such as peptides, proteins, nuclear acids, carbohydrates, ligands etc., and can perform molecular dynamics simulation of biological macromolecule and cells. This package consists of software for input preparation, simulation, and analysis of results, and is widely used in pharmacy and biological science.
An open-source application for quantum chemical calculation. This application can perform quantum chemical calculation based on the Hartree-Fock method and the density functional method. The code is developed on the emphasis of readability and flexibility, and can be called from Python scripts. Quantum chemical calculation based on two-electron wave functions (geminals) is also possible.
OpenMX is a first-principles software based on the pseudo-atomic localized basis functions. It calculates electronic structure rapidly for a wide range of materials including crystals, interfaces, liquids, etc. It speedily provides molecular dynamics simulation and structural optimization of large-scale systems and also implements a hybrid parallelism. It is able to deal with non-collinear magnetism and non-equilibrium Green’s function calculations for electrical conductions.