An application for structure prediction based on the evolutionary algorithm. From an input of the atomic position in a unit cell and possible elements at each atomic position, this application predicts the stable structure and composition from the first-principles calculation and molecular dynamics in combination with the evolutionary algorithm. This application is written in Python, and uses Quantum ESPRESSO and GULP as an external program.
An open-source application for translating chemical structure format files. More than 110 formats are supported. This application is actively being developed taking into account use and construction of database and application to infomational technology in chemistry (chemoinformatics). A graphical user interface is alsp provided for Windows.
CrySPY is a crystal structure prediction tool by utilizing first-principles calculations and a classical MD program. Only by inputting chemical composition, crystal structures can be automatically generated and searched. In ver. 0.6.1, random search, Bayesian optimization, and LAQA are available as searching algorithms. CrySPY is interfaced with VASP, Quantum ESPRESSO, and LAMMPS.
An open-source multi-purpose application for many-particle simulation. This application prepares various kinds of statistical methods and potentials, and can perform simulation of rigid-body mechanics, Langevin dynamics, dissipative-particle dynamics, nonequilibrium molecular dynamics, and so on. It prepares python scripts for production of initial conditions, job submission, and analysis of results.
An open-source application for molecular dynamics simulation of biomolecules. This application is optimized for massive parallel computing environments such as the K-computer, and can perform high-speed molecular dynamical simulation of proteins and biomolecules. This application supports both all atoms calculation and coarse-grained model calculation, and can treat extended ensemble such as a replica exchange method. This code is released under GPL license.
MDACP (Molecular Dynamics code for Avogadro Challenge Project) is an efficient implementations of classical molecular dynamics (MD) method for the Lennard-Jones particle systems. MDACP Ver. 1.xx adopts flat-MPI and Ver. 2.xx adopts MPI+OpenMP hybrid parallelization.
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 application for electronic structure calculations and molecular dynamics simulations based on tight-binding approximation. By the Krylov subspace method, this application performs order-N electronic state calculation for large physical systems including a large number of atoms. It also supports massively-parallel computation using MPI/openMP hybrid parallelism, and has demonstrated calculation of 10^7-atom simulation on the K Computer.
This is a structure analysis program for solutes and solvents, based on the statistical mechanics theory of liquids. The program determines the solvent density distribution surrounding the solute, and calculates various physical values such as the solvation free energy, compressibility, and partial molar volume. The program implements a parallelized fast Fourier transform routine for large-scale parallel computing, and can analyze molecular functions such as the ligand binding affinity of proteins, that would be difficult using other methods.
A general-purpose application for molecular dynamics simulation equipped with many tools. This package was originally developed for biomolecules (peptides, proteins, nuclear acids, etc.), and the current version can perform molecular dynamics simulation for various systems such as solutions, crystals, membranes, and so on. It supports several sampling methods and calculation of free energy. It also supports various computing environments including both serial and parallel computers.