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 first-principles calculation by the joint-DFT method based on a plane-wave basis. By implementation of the joint-DFT method, this application realizes a good convergence for electronic state calculation of molecules in liquid, particular for charged systems. This application is written by C++11, and supports GPU calculation by CUDA. This application also supports diffusive Monte Carlo simulation in cooperation with CASINO.
An application for ab initio quantum chemical calculation. This application performs electronic structure calculation of molecules by the Hartree-Fock, density functional, the many-body perturbation, configuration interaction theories, and so on. While this application is a derivative of GAMESS-US for specific use of Intel compatible CPU, it does not include recently developed calculation methods such as the CC and FMO methods.
An application for DFTB (Density Functional Tight Binding) calculation combined with Divide-and-Conquer (DC) method. The DC-DFTB-K program enables geometry optimization and molecular dynamics simulation of large molecular systems with linear-scaling computational cost. DFTB electronic structure calculation of 1 million atom system has been demonstrated using MPI/OpenMP hybrid parallel computation on the K computer.
FORTRAN-based software package developed by the Behler Group for implementing Behler-Parinello neural network potentials. Potentials can be constructed, evaluated, and used for molecular dynamics simulations using LAMMPS. The newest generation of neural network potentials that take into account long-range electrostatic interactions are implemented.
An open-source application for first-principles calculation utilizing pseudo-potentials and plane-wave basis sets. This application is capable of performing electronic structure calculations of a wide range of physical systems such as crystals and surfaces/interfaces. It supports structure relaxation, phonon-dispersion calculation, and molecular dynamics simulation, and can deal with systems with the spin-orbit interaction.
Software package that implements moment tensor potentials. Potentials can be trained and used for molecular dynamics calculations using LAMMPS. Active learning combined with molecular dynamics calculations is also available.
An application for molecular science simulation. This application covers not only traditional simulation methods implemented in existing applications but also a number of novel methods for quantum chemical calculation. It can perform ab-initio electronic state calculation for a few thousands atoms/molecules as well as trace calculation of transition states in chemical reaction for a few hundreds atoms/molecules. It can also perform high-efficient massively parallel computing on large-scale parallel computers such as the K-computer.