An open-source application for atomic structure analysis from powder diffraction data. This application can calculate atomic coordinates, valence sums, and chemical bonds from diffraction data of crystals, nanostructures, and amorphous materials. It is written in Python, and realizes multi-functional fitting and flexible data analysis.
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.
An open-source application for simulation based on the density-matrix renormalization group (DMRG). This application can perform high-speed calculation of low-dimensional quantum systems with high accuracy. It implements generic programming techniques in the C++ language, and can easily extend simulation to new models and geometries. It is developed putting emphasis on user-friendly interfaces and low dependences on environments.
An open-source application for first-principles calculation utilizing the DV-Xα method. It produces electronic structure for a wide rage of physical systems such as atoms, molecules and crystals. The DV-Xα method realizes high-speed computation for all-electron calculations, and makes it possible to evaluate various physical properties and electron transition probability (especially of core-electron excitation). Tools for supplying input data, and visualizing and post-processing output data are also released.
DDMRG (DynamicalDMRG) is a program for analyzing the dynamical properties of one-dimensional electron systems by using the density matrix renormalization group method. It simulates excited or photo-induced quantum phenomena in Mott insulators, spin-Peierls materials, organic materials, etc. Parallel computational procedures for linear and non-linear responses in low dimensional electron systems and analyzing routines for relaxation processes of excited states induced by photo-irradiation are available.
An application for DFTB (Density Functional Tight Binding) calculation combined with Divide-and-Conquer (DC) method. The DC-DFTB-K program enables geometry optimization and molecular dynamics simulation of large molecular systems with linear-scaling computational cost. DFTB electronic structure calculation of 1 million atom system has been demonstrated using MPI/OpenMP hybrid parallel computation on the K computer.