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.
Payware for quantum chemical calculation based on the density functional theory. This application supports relativistic effects needed in treatment of transition-metal complexes and heavy elements, and can also treat effect of solvents with the method of COSMO and 3D-RISM. In addition to ordinal optical spectra, it can evaluate various spectra data such as NMR, atomic vibration, electron spin resonance, and nuclear quadrupole resonance (NQR).
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 application for quantum chemical calculation based on DFTB (Density Functional based Tight Binding). This application performs structure
optimization and molecular dynamics by the DFTB force field as well as ordinary energy calculation, and implements parallel computing by OpenMP. A tool for visualization of molecular orbitals and an extended versions supporting MPI parallel computation or electron transport calculation by the nonequilibrium Green’s function method are also
available.
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.
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.
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.
Debian Live Linux System that contains OS, editors, materials science application software, visualization tools, etc. An environment needed to perform materials science simulations is provided as a one package. By booting up on VirtualBox virtual machine, one can start simulations, such as the first-principles calculation, molecular dynamics, quantum chemical calculation, lattice model calculation, etc, immediately.
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 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.