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 Duke University, and in particular, has extensive data of Heusler alloys. 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.
An open-source program package for numerical diagonalization based on the Lanczos method, specialized for spin chains with unit spin magnitude, S=1. This package, which uses another open-source program package, TITPACK, calculates eigenenergies and eigenvectors of ground states and low-lying excited states of spin chains with finite length. By the subspace partitioning method, both memory and cpu-time requirements are considerably reduced.
An application for adding a function of the replica exchange method to the existing applications for molecular dynamics simulation such as MODYLAS, AMBER, and CHARMM. Without changing original programs of molecular dynamics, the replica exchange method can be implemented easily. This application also shows high performance in massive parallel computing by the K-computer.
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.
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.
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.
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.
A MATLAB function for the contraction process of a tensor network. It takes as input a tensor network and a contraction sequence describing how to contract the network to a single tensor or number. It returns a single tensor or number as output. This function can be obtained by downloading the preprint source.
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 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.