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.
Standard payware for ab-initio quantum chemical calculation. This package performs electronic-state simulation of molecules by various quantum chemical theory such as Hartree-Fock theory, density functional theory, configuration interaction theory, etc. This package can perform structure optimization, calculation of transition states, evaluation of optical responses with high speed, and have many users in the world.
An open-source application for molecular dynamics simulation of biomolecules, especially designed for massively parallel computing. This package enables us to perform efficient parallel calculation on parallel computers ranging from 100 to 20,000 cores. For preparation of calculation and analysis of orbits, it uses visualization software VMD. It supports file formats compatible with other applications such as AMBER and CHARMM, and can be used on various computing environments.
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.
Easy-to-use and fast Python library for simulation of quantum information and quantum many-body systems. It provides Tensor module for tensor network simulations and Matrix module for “exact” quantum simulations.
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.