TeNeS

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

A solver program for two dimensional quantum lattice model based on a projected entangled pair state wavefunction and the corner transfer matrix renormalization group method.
This works on a massively parallel machine because tensor operations are OpenMP/MPI parallelized.

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AkaiKKR

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

AkaiKKR is a first-principles all-electron code package that calculates the electronic structure of condensed matters using the Green’s function method (KKR). It is based on the density functional theory and is applicable to a wide range of physical systems. It can be used to simulate not only periodic crystalline solids, but also used to calculate electronic structures of impurity systems and, by using the coherent potential approximation (CPA), random systems such as disordered alloys, mixed crystals, and spin-disordered systems.

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MARBLE

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

An open-source application for molecular dynamics to simulate biopolymers such as proteins and nuclear acids. This application can perform high-speed molecular dynamics simulation by hybrid parallel computing maintaining high-accuracy energy conservation. This application also support high-speed calculation of long-range interaction based on the particle mesh Ewald method. The code is released under GPL lisense.

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NWChem

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

An open-source application for general-purpose quantum chemical calculation, laying emphasis on excited states and time evolution. It is based on time-dependent density functional theory (TDDFT) and the QM/MM calculation. It enables efficient massive parallel computing up to one hundred thousands processes. It supports the relativistic effect and offers the basis choice between the Gaussian basis and the plane-wave basis.

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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.

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Molekel

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

An open-source application for molecular modeling and visualization. This application supports data formats of Gaussian, GAMESS, ADF, and Molden, and has various options for drawing such as orbital, electron density, solvent accessible surface, van der Waals radii, and so on. It implements high-speed and high-quality rendering technology, and runs on Windows, Mac, and Linux.

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QTWARE

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

An application for evaluation of thermoelectric properties and its visualization. Seebeck coefficients and Peltier coefficients can be calculated from output of the first-principles applications, OpenMX and TranSIESTA. Obtained results as well as electron density and density of states can be visualized.

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CrySPY

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

CrySPY is a crystal structure prediction tool by utilizing first-principles calculations and a classical MD program. Only by inputting chemical composition, crystal structures can be automatically generated and searched. In ver. 0.6.1, random search, Bayesian optimization, and LAQA are available as searching algorithms. CrySPY is interfaced with VASP, Quantum ESPRESSO, and LAMMPS.

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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.

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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.

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