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.
An application for ab initio quantum chemical calculation. This application can calculate ground states and excited states of molecules by the SCF/DFT, the CASSCF/RASSCF, and the CASPT2/RASPT2 method. It is architected especially for obtaining potential energy surfaces of excited states, and maintains high-speed, high-accuracy, and robust open codes.
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.
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.
An application for multi-purpose structure analysis based on a finite-element method. This application can analyze static properties, dynamic response, and vibration response. It also can calculate nonlinear dynamics of thermal transport and stress/strain of structures. It implements various numerical algorithms and user can choose an appropriate algorithm to solve the problems. It supports parallel processing and has user customization option by its original program language.
An open-source application for micromagnetic simulation optimized for general-purpose computing on GPU. This application can calculate spatial distribution of magnetization with speed of more than 100 times compared with CPU calculation. This application can also treat the RKKY interaction, effect of spin injection, and Voronoi diagrams. It supports remote computing using its web-GUI system.
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.
A collection of C++ interfaces for simulation of mesoscale properties based on grid data. By using provided header files, one can easily construct programs for simulation of various phenomena such as solidification, crystal growth, and spinodal decomposition, based on a Monte Carlo method, cellar automaton, and a phase-field method. This interface supports parallel computing by MPI, and also provides converters of output files for visualization software such as ParaView.
A low-energy solver for a wide ranger of quantum lattice models (multi-orbital Hubbard model, Heisenberg model, Kondo-lattice model) by using variational Monte Carlo method. User can obtain high-accuracy wave functions for ground states of above models. Users flexibly choose the correlation factors in wavefunctions such as Gutzwiller, Jastrow, and doublon-holon binding factors and optimize more the ten thousand variational parameters. It is also possible to obtain the low-energy excited states by specifying the quantum number using the quantum number projection.
Parallel C++ Library for tensor network methods. This library provides common operations, including tensor contraction and singular value decomposition and supports a similar interface as Numpy and Scipy in Python.