Payware for evaluation of electron transport based on nonequilibrium Green’s function. This application is descended from the SIESTA application, and can calculate electronic transport properties of bulk materials and molecules inserted between leads by performing electronic state calculation under a finite bias. One can choose either density functional method or semiempirical method, and can control external factors such as gate voltages. It also implements structure optimization and analysis of chemical reaction paths.
An application for calculating transport coefficients based on the Boltzman equation. Within the relaxation time approximation, transport coefficients such as the Hall coefficient and the Seebeck coefficient can be evaluated from the output of the first principles calculation applications (Wien2k, ABINIT, SIESTA, quantum ESPRESSO, VASP). If users can measure relaxation time experimentally, electric conductivity can also be evaluated.
A pre/post-processing application for SIESTA and TranSIESTA. This application can calculate phonon frequencies, electron-phonon coupling, and contributions of inelastic scattering to the conductance. It also provides a Python interface for accessing data in the Hamiltonian output from SIESTA.
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 Python package for calculation of quantum transport properties. Based on tight-binding models, this application can perform high-speed calculation of various transport properties such as conductance, current noise, and density of states. It can describe geometries of physical systems flexibly and easily, and can also treat superconductors, ferromagnetic materials, topological matters, and graphene.
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.
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.
An application for evaluation of thermoelectric properties and its visualization. Seebeck coefficients and Peltier coefficients can be calculated from output of the first-principles applications, OpenMX and TranSIESTA. Obtained results as well as electron density and density of states can be visualized.
An application for first-principles calculation based on the all-electron method. This application implements not only normal electronic state calculation (band calculation) but also a quasi-particle GW method for self-consistent (or one-shot) calculation of excitation spectrum and quasi-particle band. Combining with dynamical mean-field theory, self-consistent calculation including many-body effect can also be performed.
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.