An open-source program package for numerical diagonalization based on the Lanczos method, specialized for spin chains with unit spin magnitude, S=1. This package, which uses another open-source program package, TITPACK, calculates eigenenergies and eigenvectors of ground states and low-lying excited states of spin chains with finite length. By the subspace partitioning method, both memory and cpu-time requirements are considerably reduced.
Open-source tools and a database for molecular simulation. Data of molecular models (interatomic potentials and force fields), result data of molecular simulation, and test tools can be downloaded freely. API (Application Programming Interface) for exchanging information between atomistic simulation codes and interatomic models is also provided.
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 general-purpose open-source application for classical molecular dynamics simulation, distributed under the GPL license. This package can perform molecular dynamics calculation of various systems such as soft matters, solids, and mesoscopic systems. It can be used as a simulator of classical dynamics of realistic atoms as well as general model particles. It supports parallel computing through spatial divisions. Its codes are designed so that their modification and extension are easy.
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.
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 open-source application for first-principles calculation based on the PAW method. By utilizing real-space or atom-localized basis sets, this application performs electronic structure calculation based on the density functional theory as well as the GW approximation. Simulations are set up using the interface provided by Atomic Simulation Environment (ASE). The code is written in C and python, and is available under GPL.
An open-source application for first-principles molecular dynamics based on a pseudopotential method using plane bases. This application can perform electronic-state calculation and molecular dynamics employing the Car-Parrinello method. It implements MPI parallelization, which enables us to perform efficient parallel computing in various environments including large-scale parallel computers. The program is written in C++, and is distributed in source form under the GPL license.
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.
Open-source package for molecular dynamics simulation designed for biological macromolecules. This package can perform molecular dynamics simulation of biological macromolecules such as proteins, lipids, and nuclear acids as well as solutions by controlling temperature and pressure. This package can treat long-range interaction and free energy, and is designed for parallel computing.