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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OVITO

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

An open-source application for visualization of atoms and molecules developed for molecular dynamics. This application supports a number of input file formats for molecular configration, and can perform visualization of three-dimensional atom configration as well as creation of a animation. The main feature of this application is that various useful analysis tools can be used by intuitive control of a graphical user interface (GUI).

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Qulacs

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

C ++ / Python library for simulation of quantum computer. Users can perform simulations of quantum circuits constructed from variational quantum circuits and noisy quantum gates for the development of NISQ devices. It also supports OpenMP and GPU parallelization.

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FDMNES

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

An application for first-principles calculation based on density functional theory (DFT) optimized for X-ray spectroscopy analysis. Theoretical prediction and data fitting for X-ray spectroscopy such as XANES(X-ray absorption fine structure), XMCD(X-ray magnetic circular dichroism), RXD(resonant X-ray diffraction) can be preformes. This application employs a fully relativistic LSDA calculation based on the finite element method, and also supports the LDA+U method and the TD-DFT calculation.

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AVS/Express

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

A general-purpose application for visualization equipped with many display functions. By simple operation by a mouse, this application realizes various kinds of visualization such as positions and shapes of general objects, isosurfaces, volume rendering, and so on. It supports new display functions by making individual modules as well as making movies.

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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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ParaView

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

An open-source application for analysis and visualization of two- and three-dimensional data. The function of this application can be used not only by interactive operation with three-dimensional display, but also by batch processing. This application supports various environments such as Windows, Mac, and Linux from a desktop PC to a supercomputer performing large scale parallel computation.

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Exabyte.io

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

Exabyte.io is a cloud-based nano-scale material modeling platform that accelerates research and development of new materials. Material science softwares such as Quantum ESPRESSO have been implemented on this platform, which can be used through web-page or via secure shell terminal.

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Cirq

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

A Python framework for easy creation, manipulation and optimization of quantum algorithms for NISQ (Noisy Intermediate Scale Quantum Computer). A simulator for the quantum processor in the Xmon architecture provided by Google has also been supported.

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Keras

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

An open-source numerical library for machine learning. Using other machine learning numerical libraries (TensorFlow, CNTK, Theano, etc.), users can construct neural networks by relatively short codes. Since a number of methods in machine learning and deep learning are implemented, users can try state-of-the-art methods easily. This package is written by Python.

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