An open-source first-principles calculation library for pseudopotential and all-electron calculations. One of or a mixture of Gaussian and plane wave basis sets can be used. A lot of the development focuses on massively parallel calculations and linear scaling. The user can choose various calculation methods including density functional theory and Hartree-Fock.
An open-source application for evaluating superconducting gaps from resutls of the first-principles calculation by Quantum ESPRESSO. By calculating electron-phonon interaction and screened Coulomb interaction from the first-principles calculation, superconducting gaps can be obtained from the gap equation. Quasiparticle densities of states and ultrasonic attenuation rates can also be calculated.
An application for first-principles calculation based on density functional theory (DFT) optimized for X-ray spectroscopy analysis. Theoretical prediction and data fitting for X-ray spectroscopy such as XANES(X-ray absorption fine structure), XMCD(X-ray magnetic circular dichroism), RXD(resonant X-ray diffraction) can be preformes. This application employs a fully relativistic LSDA calculation based on the finite element method, and also supports the LDA+U method and the TD-DFT calculation.
An application for first-principles calculation based on the order-N method. This application can perform electronic-state calculation and band calculation for various physical systems. It supports the DFT+U method, the time-dependent DFT method, molecular dynamics, etc., and can also treat van der Waals forces and phonons. By using support applications, generation of input files, transformation between different file formats, and analysis of numerical results can be performed.
An open-source library for machine learning. Various functions on deep learning based on neural network can be used by this package. This package is especially customised for image identification, and a number of sample codes are prepared. Users can also use pre-trained models, which are open in Caffe Model Zoo. Since this package is written in C++, high-speed operation is realised.
An application for ab initio quantum chemical calculation. This application can calculate ground states and excited states of molecules by the SCF/DFT, the CASSCF/RASSCF, and the CASPT2/RASPT2 method. It is architected especially for obtaining potential energy surfaces of excited states, and maintains high-speed, high-accuracy, and robust open codes.
Open-source tools and a database for molecular simulation. Data of molecular models (interatomic potentials and force fields), result data of molecular simulation, and test tools can be downloaded freely. API (Application Programming Interface) for exchanging information between atomistic simulation codes and interatomic models is also provided.
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.
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.
A python library for materials analysis. Flexible classes for representation of materials are prepared, and data for crystal structures and various material properties can be handled efficiently. This application can performs analysis of phase diagrams, Pourbaix diagrams, diffusion analyses etc. as well as electronic structure analyses such as density of states and band structures. This software is being actively developed keeping close relation with Materials Project.