Kω implements large-scale parallel computing of the shifted Krylov subspace method. Using Kω, dynamical correlation functions can be efficiently calculated. This application includes a mini-application for calculating dynamical correlation functions of quantum lattice models such as the Hubbard model, the Kondo model, and the Heisenberg model in combination with the quantum lattice solver of quantum many-body problems, HΦ.
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.
An open source application implementing path-integral Monte Carlo method based on Stochastic Green function method. Finite temperature calculation of extended Bose Hubbard model and Heisenberg model with finite field can be treated. JSON and YAML formats are adopted for data I/O.
Fortran codes for computing the specified k-th eigenvalue and eigenvector for generalized symmetric definite eigenvalue problems. Sylvester’s law of inertia is employed as the fundamental principle in computations, and the sparse direct linear solver (MUMPS) is used in the main routine. By inputting Hamiltonian and its overlap matrices, user can compute electron’s energy and its wave function in the specified k-th energy level.
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.
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.
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.
COMmon Bayesian Optimization Library (COMBO) is an open source python library for machine learning techniques. COMBO is amenable to large scale problems, because the computational time grows only linearly as the number of candidates increases. Hyperparameters of a prediction model can be automatically learned from data by maximizing type-II likelihood.
A set of routines for real-symmetric dense eigenproblems in supercomputers or massively parallel machines. Both of standard and general eigenproblems are supported. A fast computation is achieved by optimal hybrid solvers among eigenproblem libraries of ELPA, EigenExa and ScaLAPACK. The package includes a mini-appli that can be used in a benchmark test.
CIF2Cell is a tool to generate a crystal structure part of an input file of first-principles calculation software from crystal structure data file in CIF format. It supports various first-principles calculation codes such as ABINIT, Quantum Espresso, and VASP.