A numerical library for machine learning. Various functions on machine learning (including supervised learning and unsupervised learning) are implemented in this package. Complex network can be expressed in a simple form by using data flow graphs. Efficient CPU/GPGPU parallel computation is supported to realise efficient operation on large scale data.
Payware for the ab-initio quantum chemical calculation. This application preforms high-speed electronic structure calculation by introducing the RI approximation, and evaluates not only ground states but also excited states by various methods such as full RPA, TDDFT, CIS(D), CC2, ADC(2). It can also be used for evaluation of spectra data of infrared(IR), visible(Vis)/ultraviolet(UV), Raman, and circular dichroism spectroscopy.
Payware for visualization of computational fluid dynamics and general numerical simulation. This application provides an integrated environment for two- and three- dimensional graph drawing, and supports interactive visualization of data with many options such as slices, contours, and stream traces. It also supports visualization of large-scale data and efficient comparison between many data sets.
An application for evaluating thermodynamic quantities and phase diagrams of alloys and compounds. This application can calculate thermal-equilibrium phase diagrams and thermodynamic quantities of alloys and compounds in combination with databases, and can be utilized for evaluation and prediction of physical properties in materials science and metallurgy. It supports various models of thermodynamics, and also includes useful tools for plotting phase diagrams.
An open-source application for molecular dynamics. This application can perform molecular dynamics simulation of biopolymers and solvents consisting of a number of molecules/atoms. It implements a number of force field sets and algorithms, and supports parallel computing based on OpenMP. Java graphical user interface (GUI) is also included.
Ab initio quantum Monte Carlo solver for both molecular and bulk electronic systems. By using the geminal/Pfaffian wavefunction with the Jastrow correlator as the trial wavefunction, users can perform highly accurate variational calculations, structural optimizations and ab initio molecular dynamics for both classical and quantum nuclei.