A collection of software tools for molecular dynamics calculations. Various interatomic potentials and tight binding models are implemented, and numerous external applications can be invoked. It also supports training and evaluation of GAP (Gaussian Approximation Potential), which is a form of machine learning potential.
C ++ / Python library for simulation of quantum computer. Users can perform simulations of quantum circuits constructed from variational quantum circuits and noisy quantum gates for the development of NISQ devices. It also supports OpenMP and GPU parallelization.
Provides a complete set of environments necessary for computational materials science research in the cloud. A web browser is all that is needed to start a full range of first-principles simulations, including modeling, calculation, data storage, and analysis. RSDFT is used as the engine, and the lineup will be expanded in the future. Data can be shared within a group, and structural data from other software such as GAUSSIAN and VASP can be read.
QuSpin is a python package for performing exact diagonalization and real- or imaginary-time evolution for quantum many-body systems. Using QuSpin, for example, it is possible to study the many-body localization and the quantum quenches in the Heisenberg chain. Moreover, QuSpin specifies the symmetries in the systems such as the total magnetization, the parity, the spin inversion, the translation symmetry, and their combinations.
An open-source application for dynamical simulation of open quantum systems. It supports a wide range of Hamiltonians such as quantum optics, ion traps, and superconducting circuits. The time evolution of quantum states is evaluated by a master equation. These calculation library can be called from Python via a user-friendly interface.
An open-source application for high-accuracy electronic-state calculation based on the variational Monte Carlo method and the diffusion Monte Carlo method. Although its computational cost is high, physical properties of atoms and small molecules in the ground states and excited states are calculated with very high accuracy. Includes an application program that generates input files from output of other packages for quantum chemical calculation, such as GAMESS, Gaussian, etc.
A program package for electronic state calculations based on two-component relativistic quantum chemical theories. Several schemes and algorithms, which are specialized in calculations of molecules containing heavy elements, have been implemented. Single-point energies for ground and excited states, geometry optimizations, and molecular properties are available. Furthermore, the package can perform accurate calculations for molecules including many heavy atoms such as metal clusters with practical computational cost.
A simple open-source application for visualization compatible to Protein Data Bank (PDB) format. This application also supports other formats such as Sybyl, Molden, Mopac, and CHARMM. It is a pioneering piece of software as an interactive PDB viewer.
An application for adding a function of the replica exchange method to the existing applications for molecular dynamics simulation such as MODYLAS, AMBER, and CHARMM. Without changing original programs of molecular dynamics, the replica exchange method can be implemented easily. This application also shows high performance in massive parallel computing by the K-computer.
RESPACK is a first-principles calculation software for evaluating the interaction parameters of materials. It is able to calculate the maximally localized Wannier functions, the RPA response functions, and frequency-dependent electronic interaction parameters. RESPACK receives its input data from a band calculation using norm-conserving pseudopotentials with plane-wave basis sets. Utilities which convert a result of xTAPP or Quantum ESPRESSO to an input for RESPACK are prepared. The software has been used successfully for a wide range of materials such as metals, semiconductors, transition-metal compounds, and organic compounds. It supports OpenMP / MPI parallelization.