M2TD

  • Level of openness 1 ★☆☆
  • Document quality 1 ★☆☆

This software is for constructing inter-atomic force fields that mostly fit the results of ab-initio calculations, using multi-canonical molecular dynamic simulations. Various potential functions such as silicon, ionic crystal, and water have been pre-installed, and the user’s potential function can also be used. The default ab initio calculation solver is xTAPP and other calculation libraries are also applicable.

To Detail

RSPt

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

An open-source application for the first-principles calculation based on the all-electron method with localized bases. By adopting the full-potential LMTO method, high-speed electronic state calculation can be performed with a less number of bases compared with the standard all-electron method. There is no restriction on symmetries as in the LMTO-ASA method, and spin polarization and spin-orbit interaction can also be treated.

To Detail

CIF2Cell

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

CIF2Cell is a tool to generate a crystal structure part of an input file of first-principles calculation software from crystal structure data file in CIF format. It supports various first-principles calculation codes such as ABINIT, Quantum Espresso, and VASP.

To Detail

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

Kω implements large-scale parallel computing of the shifted Krylov subspace method. Using Kω, dynamical correlation functions can be efficiently calculated. This application includes a mini-application for calculating dynamical correlation functions of quantum lattice models such as the Hubbard model, the Kondo model, and the Heisenberg model in combination with the quantum lattice solver of quantum many-body problems, .

To Detail

EigenKernel

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

A set of routines for real-symmetric dense eigenproblems in supercomputers or massively parallel machines. Both of standard and general eigenproblems are supported. A fast computation is achieved by optimal hybrid solvers among eigenproblem libraries of ELPA, EigenExa and ScaLAPACK. The package includes a mini-appli that can be used in a benchmark test.

To Detail

SMASH

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

Open source software for massively parallel quantum chemistry calculations. Energies and geometries of nano-sized molecules can be calculated without fragmentation. The program supports Hartree-Fock, density functional theory, and second-order Møller-Plesset perturbation theory calculations. The input format, execution method, and program structure are simple, and frequently used routines can be easily extracted.

To Detail

FermiSurfer

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

An application for visualization of Fermi surfaces.
This application displays Fermi surfaces colored as a function of an arbitrary scalar quantities such as magnitude of Fermi velocities and superconducting gap. It only requires a minimum set of data to draw Fermi surfaces. FermiSurfer provides a simple graphical user interface; the user can smoothly turn on/off the stereogram, nodal-lines, etc.

To Detail

MolDS

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

An application for semi-empirical quantum chemistry calculation. Special emphasis is placed on molecular dynamics simulations, and is able to run efficiently on large-scale cluster computer systems using OpenMP/MPI hybrid parallelism. The code is still under development, but the source code is distributed freely under the GPL license.

To Detail

Pomerol

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

Pomerol is an app for calculation one- and two-body Green’s function at finite temperatures for the Hubbard-type model based on the full exact diagonalization. Pomerol is written in C++ and supports the hybrid parallelization (MPI+openMP).

To Detail

COMmon Bayesian Optimization Library (COMBO)

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

COMmon Bayesian Optimization Library (COMBO) is an open source python library for machine learning techniques. COMBO is amenable to large scale problems, because the computational time grows only linearly as the number of candidates increases. Hyperparameters of a prediction model can be automatically learned from data by maximizing type-II likelihood.

To Detail