MateriApps Installer

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

A collection of shell scripts for installing open-source applications and tools for computational materials science to macOS, Linux PC, cluster workstations, and major supercomputer systems in Japan. Major applications are preinstalled to the nation-wide joint-use supercomputer system at Institute for Solid State Physics, University of Tokyo by using MateriApps Installer.

To Detail

Spin Glass Server

  • Level of openness 0 ☆☆☆
  • Document quality 2 ★★☆

Server for computing exact ground state of Ising model with random interacitons (Ising spin glasses). Users can specify the distributions of the interactions and the geometry of lattices. By inputting the informaiont of the model, users will receive the computational results by e-mail from the server.

To Detail

Inelastica

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

A pre/post-processing application for SIESTA and TranSIESTA. This application can calculate phonon frequencies, electron-phonon coupling, and contributions of inelastic scattering to the conductance. It also provides a Python interface for accessing data in the Hamiltonian output from SIESTA.

To Detail

Starrydata

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Starrydata is an open database of experimental data from figures in published papers. Thermoelectric properties such as Seebeck coefficient, electrical resistivity and thermal conductivity are presented mainly on thermoelectric materials.

To Detail

FHI-aims

  • Level of openness 0 ☆☆☆
  • Document quality 2 ★★☆

An application for first-principles calculation based on all-electron calculation using atomic bases. This application can perform accurate electronic-state calculation for various physical systems. It supports a number of functional sets including hybrid functionals, and can support relativistic effects, many-body perturbation methods, and the GW method. It can treat over 100 elements, and keeps high efficiency in parallel calculation from a desktop machine to a high-performance parallel computer up to 10,000 CPUs.

To Detail

OACIS

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

An open-source framework for execution management of numerical simulation. By registering target simulators, information at the time of execution (parameters, date and time, hostname, version of simulators, etc.) and calculation results are saved automatically on database. Job submission and browse of job status can be performed efficiently from web browsers.

To Detail

Molpro

  • Level of openness 0 ☆☆☆
  • Document quality 2 ★★☆

Payware for first-principles quantum chemical calculation. This application performs molecular orbital calculation based on Hartree-Fock approximation, density functional method, and post-HF methods such as MP, f12, multi-configuration SCF, and coupled cluster method. It also implements calculation by path-integral instanton, quantum Monte Carlo, and density-matrix renormalization group method.

To Detail

VisBAR

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆
A set of Python scripts for post-simulation data analysis of large-scale electronic state calculations. Currently the open script is ‘VisBAR Wave Batch’ that visualizes many wavefunctions, as isosurfaces, simultaneously. The script generates picture files in PNG and other formats from grid data files in the Gaussian cube format. Many data files can be treated in parallelism by MPI.
To Detail

OpenFermion

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Open-source software for quantum computing in quantum chemistry. OpenFermion can map the ab-initio Hamiltonian of an target molecular or material in second quantization to that in qubits. Parameters of the Hamiltonian is estimated by using other software for first-principles calculations. OpenFermion also provides users plugins to support integration with apps for quantum circuits and quantum simulators.

To Detail

Strawberry Fields

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Python library for the design, simulation, and optimization of continuous-variable quantum optical circuits. It has high-level functions for solving problems including graph and network optimization, machine learning, and chemistry, and can perform training and optimization of quantum programs using the TensorFlow backend.

To Detail