An application for structure prediction based on the evolutionary algorithm. From an input of the atomic position in a unit cell and possible elements at each atomic position, this application predicts the stable structure and composition from the first-principles calculation and molecular dynamics in combination with the evolutionary algorithm. This application is written in Python, and uses Quantum ESPRESSO and GULP as an external program.
A program package for electronic state calculations based on two-component relativistic quantum chemical theories. Several schemes and algorithms, which are specialized in calculations of molecules containing heavy elements, have been implemented. Single-point energies for ground and excited states, geometry optimizations, and molecular properties are available. Furthermore, the package can perform accurate calculations for molecules including many heavy atoms such as metal clusters with practical computational cost.
An application for semi-empirical quantum chemistry calculation. Special emphasis is placed on molecular dynamics simulations, and is able to run efficiently on large-scale cluster computer systems using OpenMP/MPI hybrid parallelism. The code is still under development, but the source code is distributed freely under the GPL license.
An open-source application for the first-principles calculation based on the all-electron method with localized bases. By adopting the full-potential LMTO method, high-speed electronic state calculation can be performed with a less number of bases compared with the standard all-electron method. There is no restriction on symmetries as in the LMTO-ASA method, and spin polarization and spin-orbit interaction can also be treated.
A fee-charging structure database of organic materials crystal structures. Three-dimensional structure data of small molecules and metal-organic crystals determined by the X-ray diffraction measurement can be downloaded. The data are compiled and distributed by the Cambridge Crystallographic Data Centre (CCDC).
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.
A results database of first-principle calculation for material science. This database provides numerical data of crystal structures, band structures, thermodynamic quantities, phase diagrams, magnetic moments, and so on. This site is maintained by a research group of MIT, and has extensive data of materials related to lithium battery. In addition to a user interface based on web browsers, an http-based API is also provided to enable user-defined material screening. This database can be used without charge after registration.
A commercial database of inorganic crystal structures. This database is run by FIZ Karlsruhe. 181,000 crystal structure data are registered as of March 2016. 6,000 crystal structure data are added per year on average, and data are updated twice per year based on data in published scientific journals.
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.
A database of structures and properties for various materials including polymers and inorganic substances. This database is maintained by National Institute of Materials Science (NIMS), and provides crystal structures, various physical properties, and phase diagrams for material science via a user interface based on web browsers. This database also provides calculation results of phase diagrams and electronic structures. This database can be used without charge after registration.