An interface package to use Torch (the open-source numerical library for machine learning) from Python. Users can easily implement deep learning based on neural networks, and can use various state-of-the-art methods. This package supports GPGPU parallel computation, and realises high-speed operation. A front-end interface for C++ is also prepared.
Open source library to record execution and communication time during specified regions in user’s program. C/C++ and Fortran API are provided. This can profile MPI & OpenMP hybrid parallel programs as well as serial ones.
Parsec is a DFT program package based on real space basis and norm-conserving pseudopotential.
PolyParGen is a free web application that automatically generates OPLS force field for molecular dynamics calculations. It is possible to create OPLS-AA parameters of macromolecules such as fullerenes with complex crosslinking structures, graphene and cyclic molecules. The generated OPLS-AA force field parameter file in Gromacs format is automatically sent to users.
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.
Python-based simulations of chemistry framework (PySCF) is a general-purpose electronic structure platform written in Python. Users can perform mean-field and post-mean-field methods with standard Gaussian basis functions. This package also provides several interfaces to other software such as BLOCK and Libxc.
Pomerol is an app for calculation one- and two-body Green’s function at finite temperatures for the Hubbard-type model based on the full exact diagonalization. Pomerol is written in C++ and supports the hybrid parallelization (MPI+openMP).
PARATEC is a parallel DFT program package based on plane-wave basis and norm-conserving pseudopotential.
A structure database for proteins and nuclear acids. Three-dimensional structure data of proteins and nuclear acids (atomic coordinates determined experimentally by X-ray crystal analysis, NMR, etc.) can be downloaded. The data reposited in PDB are in the public domain, and can be accessed by everyone freely.