LOBSTER

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

A post-processor of first-principles calculations for performing COHP (crystal orbital Hamilton population) and COOP (crystal orbital overlap population) chemical bonding analysis. It works with VASP, ABINIT and Quantum ESPRESSO output. The program is provided under an academic-only license.

To Detail

CrySPY

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

CrySPY is a crystal structure prediction tool by utilizing first-principles calculations and a classical MD program. Only by inputting chemical composition, crystal structures can be automatically generated and searched. In ver. 0.6.1, random search, Bayesian optimization, and LAQA are available as searching algorithms. CrySPY is interfaced with VASP, Quantum ESPRESSO, and LAMMPS.

To Detail

DeePMD-kit

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

Python/C++ based software package that employs deep learning techniques for construction of interatomic potentials. It implements the Deep Potential, which defines atomic environment descriptors with respect to a local reference frame. The output of many first-principles and molecular dynamics applications can be used as training data, and the trained potentials can be used for molecular dynamics calculations using LAMMPS and path integral molecular dynamics calculations using i-PI.

To Detail

BigDFT

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

An open-source application for first-principles calculation based on pseudopotential and wavelet basis. Electronic state calculation of massive systems is performed with high accuracy and high efficiency by using adaptive mesh. Parallel computing by MPI, OpenMP, and GPU is also supported.

To Detail

MARBLE

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

An open-source application for molecular dynamics to simulate biopolymers such as proteins and nuclear acids. This application can perform high-speed molecular dynamics simulation by hybrid parallel computing maintaining high-accuracy energy conservation. This application also support high-speed calculation of long-range interaction based on the particle mesh Ewald method. The code is released under GPL lisense.

To Detail

GASP

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

An application for structure prediction based on the genetic algorithm. This application can predict the structure and composition of stable phase of crystals, molecules, atomic clusters, and so on by using first-principles calculation and molecular dynamics. This application implements interfaces with various programs such as VASP, LAMMPS, MOPAC, GULP, JDFTx, etc, and runs efficiently on parallel computing architectures.

To Detail

wxMacMolPlt

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

An open-source application for visualization developed for input and output of GAMESS. This application supports various types of input formats such as GAMESS, XYZ, MolDel, pdb, and CML as well as input by GUI and the Z-matrix format. It can visualize molecular orbitals, electron densities, electrostatic potentials, and normal modes, and can output results into various formats.

To Detail

TeNeS

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

A solver program for two dimensional quantum lattice model based on a projected entangled pair state wavefunction and the corner transfer matrix renormalization group method.
This works on a massively parallel machine because tensor operations are OpenMP/MPI parallelized.

To Detail

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.

To Detail

SpM

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

A sparse-modeling tool for computing the spectral function from the imaginary-time Green function. It removes statistical errors in quantum Monte Carlo data, and performs a stable analytical continuation. The obtained spectral function fulfills the non-negativity and the sum rule. The computation is fast and free from tuning parameters.

To Detail