Questaal

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

An application for first-principles calculation based on the all-electron method. This application implements not only normal electronic state calculation (band calculation) but also a quasi-particle GW method for self-consistent (or one-shot) calculation of excitation spectrum and quasi-particle band. Combining with dynamical mean-field theory, self-consistent calculation including many-body effect can also be performed.

To Detail

TensorNetwork

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

An open source library for implementing tensor networks. It is developed based on TensorFlow and is designed to be easily used by experts in the field of machine learning as well as in the field of physics. In addition to TensorFlow, it includes wrappers for JAX, PyTorch, and Numpy.

To Detail

ATAT

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

A set of tools for alloy theory analysis in combination with first-principles calculation packages. Free energy and thermodynamic phase diagrams of alloy systems are calculated by combining the cluster expansion method with Monte Carlo simulations. Interfaces with major first-principles code including Quantum Espresso, VASP, and ABINIT are provided.

To Detail

Nano-Ignition

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

A support application for preparing input files of molecular dynamics calculation. This application supports manual input of atomic coordinates and bond informations, reading files of protain structure database, and editing data by graphical user interface. It also implements various functions such as addition of hydrogen atoms and composition of data. and can treat a large number of atoms using only a moderate memory cost.

To Detail

MDACP

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

MDACP (Molecular Dynamics code for Avogadro Challenge Project) is an efficient implementations of classical molecular dynamics (MD) method for the Lennard-Jones particle systems. MDACP Ver. 1.xx adopts flat-MPI and Ver. 2.xx adopts MPI+OpenMP hybrid parallelization.

To Detail

mumax3

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

An open-source application for micromagnetic simulation optimized for general-purpose computing on GPU. This application can calculate spatial distribution of magnetization with speed of more than 100 times compared with CPU calculation. This application can also treat the RKKY interaction, effect of spin injection, and Voronoi diagrams. It supports remote computing using its web-GUI system.

To Detail

Qbox

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

An open-source application for first-principles molecular dynamics based on a pseudopotential method using plane bases. This application can perform electronic-state calculation and molecular dynamics employing the Car-Parrinello method. It implements MPI parallelization, which enables us to perform efficient parallel computing in various environments including large-scale parallel computers. The program is written in C++, and is distributed in source form under the GPL license.

To Detail

QWalk

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

An open-source application for high-accuracy electronic-state calculation based on the variational Monte Carlo method and the diffusion Monte Carlo method. Although its computational cost is high, physical properties of atoms and small molecules in the ground states and excited states are calculated with very high accuracy. Includes an application program that generates input files from output of other packages for quantum chemical calculation, such as GAMESS, Gaussian, etc.

To Detail

Blueqat

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

Open-source Python code for simulation of gate-type quantum computers. Blueqat can call Qiskit, a quantum computing development tool, to run IBM Q, a gate-type quantum computer.

To Detail

QUIP

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

A collection of software tools for molecular dynamics calculations. Various interatomic potentials and tight binding models are implemented, and numerous external applications can be invoked. It also supports training and evaluation of GAP (Gaussian Approximation Potential), which is a form of machine learning potential.

To Detail