TITPACK

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

An open-source program package for numerical diagonalization of quantum spin systems. The FORTRAN source programs are relatively simple and highly readable, and it can be applied to various quantum spin systems by modifying the main routine. Both the Lanczos and the inverse iteration methods are implemented for calculation of eigenvalues and eigenvectors, as well as correlation functions. Can be also used for diagonalization problems of general sparse matrices.

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Matrix Product Toolkit

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

A program package for numerically solving effective lattice models using matrix product states (MPS). The ground state of a one-dimensional quantum system and its time evolution can be numerically evaluated by using an infinite system algorithm based on MPS. Useful tutorials and examples of calculations are also provided.

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Kwant

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

An open-source Python package for calculation of quantum transport properties. Based on tight-binding models, this application can perform high-speed calculation of various transport properties such as conductance, current noise, and density of states. It can describe geometries of physical systems flexibly and easily, and can also treat superconductors, ferromagnetic materials, topological matters, and graphene.

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TB2J

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

A python package for automatic calculation of magnetic effective interactions between atoms (exchange and Dzyaloshinskii-Moriya interactions) from ab initio Hamiltonians based on Wannier functions and LCAO calculations. The package can postprocess Hamiltonians calculated using Wannier90, Siesta, and OpenMX. Input files for magnetic structure simulators such as Vampire can also be generated.

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MateriApps LIVE!

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

Debian Live Linux System that contains OS, editors, materials science application software, visualization tools, etc. An environment needed to perform materials science simulations is provided as a one package. By booting up on VirtualBox virtual machine, one can start simulations, such as the first-principles calculation, molecular dynamics, quantum chemical calculation, lattice model calculation, etc, immediately.

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QMCPACK

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

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code. Its main applications are electronic structure calculations of molecular, quasi-2D and solid-state systems. Variational Monte Carlo (VMC), diffusion Monte Carlo (DMC), orbital space auxiliary field QMC (AFQMC) and a number of other advanced QMC algorithms are implemented.

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ALPSCore

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

Open-source software for building computational physics applications. Common C++ auxiliary modules required for various methods in computational physics such as the quantum Monte Carlo method are prepared. This software helps to build reusable codes and to reduce development time for complex computational science applications. It also supports parallel programming based on MPI or OpenMP.

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Demeter

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

An application for data analysis of X-ray absorption fine structure (XAFS). Experimental data of XAFS can be analyzed by various analysis methods. This application supports various analysis functions (high-speed Fourier analysis, fitting in a radial coordinate or k-space, data plotting, etc.) based on IFEFFIT, and includes useful graphical user interface (GUI).

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peps-torch

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

peps-torch is a python library for calculation of quantum many-body problems on two dimensional lattices. Variational principles calculation is used with an infinite PEPS (iPEPS) as the trial wave function. Therefore, the ground state is obtained in the form of the element tensor of the iPEPS.  The energy of the trial state is estimated by the corner transfer matrix method (CTM), and its gradient with respect to the element tensor is computed through automatic differentiation provided by pytorch.  Functions/classes for exploiting the system’s symmetry are provided for reducing the computational cost if possible. While general models and lattices are not supported, many examples of stand-alone codes would make it relatively easy for users to write their own codes to suit their needs. pytorch is required.

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