Server for computing exact ground state of Ising model with random interacitons (Ising spin glasses). Users can specify the distributions of the interactions and the geometry of lattices. By inputting the informaiont of the model, users will receive the computational results by e-mail from the server.
A comprehensive online database for materials science. It covers 3,000 kinds of property information (crystal structure, phase diagrams, thermophysical property data, etc.) and 290,000 kinds of material data and provides efficient information search for these data. A variety of analytics tools, including data integration, graphing and customizable data visualization, are also available.
STATE is a first-principles plane-wave pseudo-potential code. It provides electronic state calculations and molecular dynamics simulations. This code is suitable for simulating chemical reactions at solid surfaces and solid–liquid interfaces, i.e., It is able to investigate reaction paths and activation barriers of chemical processes at interfaces. It can also include Van der Waals corrections to conventional density functional theory.
An open-source library for data mining and data analysis. This package implements various methods of machine learning such as supervised learning (data classification, data regression, etc.), unsupervised learning (data clustering, etc.), and data pre-processing. This package is implemented on Python numerical libraries, NumPy and Scipy, and supports parallel computation.
A Python package and graphical user interface for extracting structural order in materials. From atomic structure data, it can extract various structural features such as polyhedra, rings, and cavities. It can also be used to calculate pair distribution functions and angular distributions, as well as structure factors obtained from neutron diffraction and X-ray diffraction.
A Boltzmann transport equation solver for calculating lattice thermal conductivity based on phonon information obtained from first-principles calculations. It takes into account three-phonon interactions and enables first-principles analysis of thermal transport properties in solids, including anisotropic crystals, complex structures, and those containing defects. Tutorials and input-support tools are also provided. A tool for calculating third-order force constants (thirdorder.py) is also available on the same website.
A library related to the symmetry of crystal structures. By providing a crystal structure, Spglib can detect information related to the symmetry of the structure, such as symmetry operations, a space group and a primitive cell. It can also generate irreducible wave numbers. Spglib is written in C, but various interfaces are available, including Python, Fortran, and Rust.
Software package to implement Behler-Parinello neural network potentials. Potentials can be trained from structure-energy/ interatomic forces/stress data, and molecular dynamics calculations using LAMMPS can also be performed using learned potentials. A prediction uncertainty measure can also be calculated simultaneously.
A python tool for generating symmetry-inequivalent supercell structures from a CIF file containing site occupancy information. SHRY can be used as a command-line tool as well as a module in a python script.