Tool for performing analytical continuation for many-body Green’s functions by using the maximum entropy method. From the data of the Green functions on the imaginary axis, users can obtain the values of the Green’s functions on the real axis. This tool supports the several different Green’s functions (Bozonic, Fermionic, anomalous, etc.).
An open-source application for pre- and post-processing for quantum chemistry calculation. This application can handle outputs from Gaussian, GAMESS, and MOPAC as well as the result of other applications via the Molden format. It supports many graphical interfaces such as Postscript, XWindows, VRML, and OpenGL, and performs visualization of molecular orbitals and electron density. It also produces animation videos of molecular vibration.
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.
An open-source application for the electromagnetic field simulation based on the finite-difference time-domain (FDTD) method. Time-evolution of the electromagnetic field in the system written by 1-, 2-, and 3-dimensional orthogonal coordinates and cylinder coordinates can be calculated under various boundary conditions and spatial dependence of permittivity and permeability. The main programs are written by C++, and can be called from Python scripts.
Debian Live Linux System that contains OS, editors, materials science application software, visualization tools, etc. An environment needed to perform materials science simulations is provided as a one package. By booting up on VirtualBox virtual machine, one can start simulations, such as the first-principles calculation, molecular dynamics, quantum chemical calculation, lattice model calculation, etc, immediately.
Open source Python package for data mining of materials. It can extract data from more than dozens of databases, perform preprocessing and visualization of extracted data. By combining machine-learning tools such as scikit-learn, users can build machine-learning models with descriptors created from the extracted data.
A program package for physical properties related to magnetism. This application can evaluate various physical quantities of magnetics such as crystal fields, magnetic structures, thermodynamic quantities (magnetization, specific heat, etc.), and magnetic excitation. This package can also perform fitting analysis of neutron diffraction experiments and resonant X-ray diffraction experiments, and is helpful to experimentalists.
A program package for numerically solving effective lattice models using matrix product states (MPS). The ground state of a one-dimensional quantum system and its time evolution can be numerically evaluated by using an infinite system algorithm based on MPS. Useful tutorials and examples of calculations are also provided.
An application for simulating microstructures of alloys based on a phase-field method. This application can treat various problems in multi-component alloy systems such as solidification, solid-phase transition, and dynamics of crystal growth. Any required thermodynamic quantities can be obtained by calculating phase diagram or by direct coupling to the thermodynamic data calculated by other application.
Commercially-available free software for Computer-Aided Drug Development. It includes programs for compound database, protein-compound docking, structure-based drug screening, ligand-based drug screening, protein-ligand binding site prediction, molecular editor, physical property prediction, synthetic accessibility prediction, thermodynamic calculation including multi-canonical dynamics, and molecular dynamics simulations with and without acceleration using GPUs and MPI parallelization.