Superconducting Toolkit (sctk)

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

An open-source application for evaluating superconducting gaps from resutls of the first-principles calculation by Quantum ESPRESSO. By calculating electron-phonon interaction and screened Coulomb interaction from the first-principles calculation, superconducting gaps can be obtained from the gap equation. Quasiparticle densities of states and ultrasonic attenuation rates can also be calculated.

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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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mptensor

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

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.

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cuscalapack

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

GPU library for pdgemm and pzgemm, which are functions of matrix-matrix operations in ScaLAPACK.

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Tensordot

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

Automatic generation tool for codes of tensor contraction. This tool can automatically generate codes of an optimal computing sequence for construction of a single tensor from a tensor network composed of tensors. Netcon algorithm proposed by Pfeifer et al. is used, and it is possible to search optimal solution quickly. Generated codes are available in Numpy and mptensor in Python.

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XenonPy

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

XenonPy is a high-throughput material exploration framework based on machine learning technologies. This library can generate various chem/phys descriptors for machine learning to explore materials in virtual environment. Descriptors in matminer can be also used. Model training is done by PyTorch. Visualization tool for descriptor and transfer learning framework are also provided.

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iqspr

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

isqpr is an R package to find candidate molecules that has your desired chemical structures and chemical properties. SMILES (Simplified Molecular Input Line Entry Specification Syntax) is employed to represent chemical structures. To find candidate molecules, sequential Monte Carlo method generates  new molecules, whose chemical properties are predicted by machine learning techniques.

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Advance/NanoLabo

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

Advance / NanoLabo is an integrated GUI which can graphically operates various calculation solvers such as Quantum ESPRESSO, LAMMPS, Advance / PHASE. It is easy to set modeling and calculation conditions by automatically searching information in typical materials databases such as Materials Project. Results calculated by solvers are graphically displayed instantaneously.

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PolyParGen

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

PolyParGen is a free web application that automatically generates OPLS force field for molecular dynamics calculations. It is possible to create OPLS-AA parameters of macromolecules such as fullerenes with complex crosslinking structures, graphene and cyclic molecules. The generated OPLS-AA force field parameter file in Gromacs format is automatically sent to users.

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i-PI

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

i-PI is a universal force engine interface written in Python, designed to be used together with an ab-initio (or force-field based) evaluation of the interactions between the atoms. This application includes a large number of sophisticated methods such as replica exchange molecular dynamics (REMD) and path integral molecular dynamics (PIMD). Inter-atomic forces can be computed by using external codes such as CP2K, Quantum ESPRESSO and LAMMPS.

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