RSPACE is a first-principles code package based on a real-space finite-difference pseudo-potential method. It computes electronic states with high-speed and high precision in aperiodic systems of surfaces, solid interfaces, clusters, nanostructures, and so forth. It provides large-scale computing for semiconductor devices of nanostructure surface and interface reactions, calculation of transport properties in semi-infinite boundary conditions, and a massively parallel computing using the space partitioning method.
Payware for ab initio quantum chemical calculation. This application performs high-speed quantum chemical calculation based on the density functional, Hartree-Fock theory, and MP2 theories. It can perform structure optimization, spectrum analysis, evaluation of acid dissociation constants, and so on. It can treat excited states by using TDDFT and CIS. Maestro, an application for visualization produced by the same developer, provides a useful interface for Jaguar.
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.
Application for performing first-principles simulations with an implicit solvent model. The code is released as a patch to VASP. The user can perform molecular dynamics as well as reaction analysis using e.g., nudged elastic band method.
A first principles calculation program using all electron mixture based approach. It targets broad physical systems such as isolated systems, surfaces and interfaces, and crystals, and it calculates all electronic states from core electrons to valence electrons. It deals with calculation methods such as the GW method, and also deals with parallel calculations. It can execute with high accuracy molecular dynamics calculations for electronic excited states based on time dependent density functional theory.
RSDFT is an ab-initio program with the real-space difference method and a pseudo-potential method. Using density functional theory (DFT), this calculates electronic states in a vast range of physical systems: crystals, interfaces, molecules, etc. RSDFT is suitable for highly parallel computing because it does not need the fast Fourier transformation. By using the K-computer, this program can calculate the electronic states of around 100,000 atoms. The Gordon Bell Prize for Peak-Performance was awarded to RSDFT in 2011.
A collection of shell scripts for installing open-source applications and tools for computational materials science to macOS, Linux PC, cluster workstations, and major supercomputer systems in Japan. Major applications are preinstalled to the nation-wide joint-use supercomputer system at Institute for Solid State Physics, University of Tokyo by using MateriApps Installer.
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 open-source application for general-purpose quantum chemical calculation, laying emphasis on excited states and time evolution. It is based on time-dependent density functional theory (TDDFT) and the QM/MM calculation. It enables efficient massive parallel computing up to one hundred thousands processes. It supports the relativistic effect and offers the basis choice between the Gaussian basis and the plane-wave basis.
An application for structure prediction based on the genetic algorithm. This application can predict the structure and composition of stable phase of crystals, molecules, atomic clusters, and so on by using first-principles calculation and molecular dynamics. This application implements interfaces with various programs such as VASP, LAMMPS, MOPAC, GULP, JDFTx, etc, and runs efficiently on parallel computing architectures.