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 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.
This software is for constructing inter-atomic force fields that mostly fit the results of ab-initio calculations, using multi-canonical molecular dynamic simulations. Various potential functions such as silicon, ionic crystal, and water have been pre-installed, and the user’s potential function can also be used. The default ab initio calculation solver is xTAPP and other calculation libraries are also applicable.
MODYLAS is a highly parallelized general-purpose molecular dynamics (MD) simulation program appropriate for very large physical, chemical, and biological systems. It is equipped most standard MD techniques including free energy calculations based on thermodynamic integration method. Long-range forces are evaluated rigorously by the fast multipole method (FMM) without using the fast Fourier transform (FFT) in order to realize excellent scalability. The program enables investigations of large-scale real systems such as viruses, liposomes, assemblies of proteins and micelles, and polymers. It works on ordinary linux machines, too.
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 application for atomic multiplet calculation used in X-ray spectroscopies. This application consists of several calculation modules and graphical user interface, and can perform multiplet calculation of atoms. It can take into account effect of crystal fields and charge transfer, both of which are important in transition-metal compounds, and can provide useful information to interpret experimental results obtained in various inner-shell electron X-ray spectroscopies.
An open-source application for molecular dynamics to simulate biopolymers such as proteins and nuclear acids. This application can perform high-speed molecular dynamics simulation by hybrid parallel computing maintaining high-accuracy energy conservation. This application also support high-speed calculation of long-range interaction based on the particle mesh Ewald method. The code is released under GPL lisense.
A collection of C++ interfaces for simulation of mesoscale properties based on grid data. By using provided header files, one can easily construct programs for simulation of various phenomena such as solidification, crystal growth, and spinodal decomposition, based on a Monte Carlo method, cellar automaton, and a phase-field method. This interface supports parallel computing by MPI, and also provides converters of output files for visualization software such as ParaView.
A low-energy solver for a wide ranger of quantum lattice models (multi-orbital Hubbard model, Heisenberg model, Kondo-lattice model) by using variational Monte Carlo method. User can obtain high-accuracy wave functions for ground states of above models. Users flexibly choose the correlation factors in wavefunctions such as Gutzwiller, Jastrow, and doublon-holon binding factors and optimize more the ten thousand variational parameters. It is also possible to obtain the low-energy excited states by specifying the quantum number using the quantum number projection.
Parallel C++ Library for tensor network methods. This library provides common operations, including tensor contraction and singular value decomposition and supports a similar interface as Numpy and Scipy in Python.