Cambridge Structure Database (CSD)

    A fee-charging structure database of organic materials crystal structures. Three-dimensional structure data of small molecules and metal-organic crystals determined by the X-ray diffraction measurement can be downloaded. The data are compiled and distributed by the Cambridge Crystallographic Data Centre (CCDC).

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    Crystallography Open Database

      An open-access database of crystal structures. This database includes structural data of organic, inorganic, metal-organic compounds and minerals. At the end of 2017, this database contains about 400,000 entries. Three-dimensional structures of crystals can be viewed by GUI on the web.

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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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      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.

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      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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      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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      CONQUEST

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

      CONQUEST is a linear-scaling DFT (Density Functional Theory) code based on the density matrix minimization method. Since its computational cost, for both memory and computational costs, is only proportional to the number of atoms N of the target systems, the code can employ structure optimization or molecular dynamics on very large-scale systems, including more than hundreds of thousands of atoms. It also has high parallel efficiency and is suitable for massively parallel calculations.

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      C-Tools

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

      This application can produce input files of various applications for density functional theory (DFT) calculations via user-friendly parameter adjustment using three-dimensional computer graphics (3DCG) and graphical user interfaces (GUI). Input-file conversion between different applications is also possible.

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      CPMD

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

      An open-source application for first-principles molecular dynamics simulation based on pseudo-potential and plane-wave basis set. This application enables accurate molecular dynamics by density functional theory and Car-Parrinello method. It also supports structure optimization, Born-Oppenheimer molecular dynamics, path-integral molecular dynamics, calculation of response functions, the QM/MM method, and excited-state calculation.

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      Calypso

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

      An application for prediction of stable and metastable structures from a chemical composition. This application applies particle swarm optimization to predict material structures from results of the first-principles calculation by external packages (VASP, CASTEP, Quantum Espresso, GULP, SIESTA, CP2k). It has been applied to predict not only three-dimensional crystal structures, but also those of clusters and surfaces.

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