CASINO

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

An open-source application for electronic structure calculation based on the diffusion Monte Carlo method. By using output of other packages of first-principles quantum-chemical calculation, this package performs electronic structure calculation with high accuracy. Although its computational cost is high, various physical quantities can be evaluated very accurately. It implements an efficient parallelization algorithm, and supports massively parallel computing.

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CASTEP

  • Level of openness 0 ☆☆☆
  • Document quality 3 ★★★

Software for first-principles calculation based on pseudo-potential and plane-wave basis. This software performs electronic-state calculation of various systems by density functional theory, and can treat structure optimization, excited-state analysis, and so on. This software can be applied to many physical phenomena such as catalysis reaction, calculation of phase diagram, etc. There are many users of this payware in the world.

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CCCM

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

CCCM is a high-order CCM (coupled cluster method) code for lattice spin systems. It is possible to obtain the ground state and its energy of quantum spin systems in two or three dimensions.

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cdview

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

An open-source application for visualization of many-particle systems. With simple operation by graphical user interface (GUI) or by command line, this application can visualize particle positions obtained from molecular dynamics simulation as well as three-dimensional scalar quantities such as potential energies. It supports various display options on kinds and shapes of particles, and can also visualize bond formation between particles.

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Chainer

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

An open-source library for machine learning. Various functions on machine learning/deep learning are implemented in this package. Using flexible user-friendly description, various types of networks from simple to complex ones can be implemented. GPGPU parallel computation based on CUDA is also supported.

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CHARMM

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

A general-purpose application for molecular dynamics simulation equipped with many tools. This package was originally developed for biomolecules (peptides, proteins, nuclear acids, etc.), and the current version can perform molecular dynamics simulation for various systems such as solutions, crystals, membranes, and so on. It supports several sampling methods and calculation of free energy. It also supports various computing environments including both serial and parallel computers.

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ChemBio3D/Chem3D

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

A payware for modeling and visualizing molecules. This software includes a standard editor, ChemDraw, and can perform modeling from chemical structural formula. It implements structure optimization and molecular dynamics by molecular mechanics, and provides useful GUIs for MOPAC, Jaguar, GAMESS, and Gaussian. It can also perform spectroscopy analysis. It is included in high-end packages such as ChemBioOffice and ChemOffice.

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CLUPAN

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

Program libraries for alloy modeling analysis using a cluster expansion method. Energy of alloy systems evaluated by other electronic state calculation libraries is used as an input, and atomic configuration effects are evaluated with the accuracy of a first principles calculation. Ground state structures, evaluation of thermodynamic quantities, equilibrium diagrams, disordering by temperature, etc. can be calculated with high accuracy.

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ComDMFT

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

ComDMFT is a massively parallel computational package to study the electronic structure of correlated-electron systems. Users can perform a parameter-free method based on ab initio linearized quasiparticle self-consistent GW (LQSGW) and dynamical mean field theory (DMFT).

 

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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.

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