pacemaker

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

Software tool for constructing interatomic potentials based on nonlinear atomic cluster expansion. It requires the user to either prepare a fitting dataset based on pandas and ASE, or it can automatically extract data from VASP calculation results. The obtained potentials can be used for molecular dynamics simulations using LAMMPS, and it also provides the capability to calculate extrapolation grades for on-the-fly active learning.

To Detail

PAICS

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

PAICS is a program of quantum chemical calculation. In this program, fragment molecular orbital (FMO) method is adopted, by which large molecules including biomolecular systems can be treated with several quantum chemical approaches including HF and MP2 methods. At the same time, PaicsView has been developed, which is a supporting program for making input files and analyzing calculation results.

To Detail

PARATEC

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

PARATEC is a parallel DFT program package based on plane-wave basis and norm-conserving pseudopotential.

To Detail

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.

To Detail

Parsec

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

Parsec is a DFT program package based on real space basis and norm-conserving pseudopotential.

To Detail

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.

To Detail

PFAPACK

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

Library for calculating Pfaffian (square root of determinant), which is defined for skew-symmetric matrices. Algorithms are implemented in several languages (Fortran, Python, Matlab, Mathematica) and users can choose favorite one. Interfaces for C are also provided.

To Detail

PHASE

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

An electronic structure calculation program based on the density functional theory and the pseudo potential scheme with a plane wave basis set. This is a powerful tool to predict the physical properties of unknown materials and to simulate experimental results such as STM and EELS. This also enables users to perform long time molecular dynamics simulations and to analyze chemical reaction processes. This program is available on a wide variety of computers from single-core PCs to massive parallel computers like K computer. The whole source code is open to public.

To Detail

Phonopy

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

Software to calculate physical quantities related to phonon in solids from result calculated using first principles calculation software. Results calculated from first principles calculation software such as VASP and Wien2k are used as an input.

To Detail

PHYSBO (optimization tools for PHYsics based on Bayesian Optimization )

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

PHYSBO is a Python library for researchers mainly in the materials science field to perform fast and scalable Bayesian optimization based on COMBO (Common Bayesian Optimization). Users can search the candidate with the largest objective function value from candidates listed in advance by using machine learning prediction. PHYSBO can handle a larger amount of data compared with standard implementations such as scikit-learn.

To Detail