Amber

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

Program package for molecular dynamics simulation. This package includes various material parameters such as peptides, proteins, nuclear acids, carbohydrates, ligands etc., and can perform molecular dynamics simulation of biological macromolecule and cells. This package consists of software for input preparation, simulation, and analysis of results, and is widely used in pharmacy and biological science.

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Atomic Simulation Environment (ASE)

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

A set of python modules for modeling atomic structures, running simulations, and visualizing results. These modules provide interfaces for various application of first-principles calculation, classical molecular dynamics, and quantum chemical calculation through GUI, command line, or python scripts. The source code is available under the LGPL.

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ABINIT

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

Open-source package for first-principles calculation based on pseudo-potential and plane-wave basis. This package performs various electronic-state calculation by density functional theory such as band calculation of solids, and structure optimization of surfaces/interfaces. Detailed tutorials and documents are well prepared in this package, and many physical quantities including chemical reaction and lattice vibration can be obtained easily.

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ASM Alloy Phase Diagram Database

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  • Document quality 3 ★★★

Database of equilibrium phase diagrams of alloys. This database contains more than 40,000 binary and ternary alloy phase diagrams, including associated crystal and reaction data for each phase diagram. One can easily search a target phase diagram by selecting contained elements.

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ADF

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

Payware for quantum chemical calculation based on the density functional theory. This application supports relativistic effects needed in treatment of transition-metal complexes and heavy elements, and can also treat effect of solvents with the method of COSMO and 3D-RISM. In addition to ordinal optical spectra, it can evaluate various spectra data such as NMR, atomic vibration, electron spin resonance, and nuclear quadrupole resonance (NQR).

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AVS/Express

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  • 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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ALPS

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

ALPS is a numerical simulation library for strongly correlated systems such as magnetic materials or correlated electrons. It contains typicalsolvers for strongly correlated systems: Monte Carlo methods, exact diagonalization, the density matrix renormalization group, etc. It can be used to calculate heat capacities, susceptibilities, magnetization processes in interacting spin systems, the density of states in strongly correlated electrons, etc. A highly efficient scheduler for parallel computing is another improvement.

※Related links are temporary changed due to the server maintenance for ALPS project.

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ALF (Algorithms for Lattice Fermions)

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

A package for the auxiliary field Quantum Monte Carlo method, which enables us to calculate finite-temperature properties of the Hubbard-type model. It is also possible to treat the Hubbard model coupled to a transversed Ising field. Many examples such as Hubbard model on the square lattice and the honeycomb lattice are provided in the documentation.

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AMULET

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

AMULET is a collection of tools for a first principles calculation of physical properties of strongly correlated materials. It is based on density functional theory (DFT) combined with dynamical mean-field theory (DMFT). Users can calculate physical properties of chemically disordered compounds and alloys within CPA+DMFT formalism.

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abICS

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

Software framework for training a machine learning model to reproduce first-principles energies and then using the model to perform configurational sampling in disordered systems. It has been developed with an emphasis on multi-component solid-state systems such as metal and oxide alloys. At present, Quantum Espresso, VASP and OpenMX can be used as first-principles energy calculators, and aenet can be used to construct neural network potentials.

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