An application for visualization of Fermi surfaces.
This application displays Fermi surfaces colored as a function of an arbitrary scalar quantities such as magnitude of Fermi velocities and superconducting gap. It only requires a minimum set of data to draw Fermi surfaces. FermiSurfer provides a simple graphical user interface; the user can smoothly turn on/off the stereogram, nodal-lines, etc.
CONQUEST is a linear-scaling DFT (Density Functional Theory) code based on the density matrix minimization method. Since its computational cost, for both memory and computational costs, is only proportional to the number of atoms N of the target systems, the code can employ structure optimization or molecular dynamics on very large-scale systems, including more than hundreds of thousands of atoms. It also has high parallel efficiency and is suitable for massively parallel calculations.
An open-source application for analysis and visualization of two- and three-dimensional data. The function of this application can be used not only by interactive operation with three-dimensional display, but also by batch processing. This application supports various environments such as Windows, Mac, and Linux from a desktop PC to a supercomputer performing large scale parallel computation.
An application for prediction of stable and metastable structures from a chemical composition. For prediction of structures, this application combines the first-principles calculation by external packages (VASP, GULP, siesta, Quantum Espresso, STM4, CP2k, etc.) with various efficient algorithms such as the evolutionary algorithm.
It can be applied to prediction of, e.g., structure of crystals under extreme pressure, nanoparticles, and surface reconstruction.
Analytical tool to calculate the Z2 topological number or Chern number from given band structures, which are derived from first-principles calculations or tight-binding Hamiltonians. The topological numbers are calculated from the evolution of Wannier charge center and this method is applicable to the systems without inversion symmetries.
isqpr is an R package to find candidate molecules that has your desired chemical structures and chemical properties. SMILES (Simplified Molecular Input Line Entry Specification Syntax) is employed to represent chemical structures. To find candidate molecules, sequential Monte Carlo method generates new molecules, whose chemical properties are predicted by machine learning techniques.
QuCumber is an open-source Python package that implements neural-network quantum state reconstruction of many-body wavefunctions from measurement data such as magnetic spin projections, orbital occupation number. Given a training dataset of measurements, QuCumber discovers the most likely quantum state compatible with the measurements by finding the optimal set of parameters of a restricted Boltzmann machine (RBM).
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An open-source application for first-principles calculation utilizing the DV-Xα method. It produces electronic structure for a wide rage of physical systems such as atoms, molecules and crystals. The DV-Xα method realizes high-speed computation for all-electron calculations, and makes it possible to evaluate various physical properties and electron transition probability (especially of core-electron excitation). Tools for supplying input data, and visualizing and post-processing output data are also released.
An open-source application for ab initio quantum chemical calculation. This application performs electronic structure calculation of molecules by the Hartree-Fock, density functional, many-body perturbation, configuration interaction theories, and so on. Even though this application is freeware, it succeeds in maintaining high-quality and high-performance codes by active development, and has a number of world-wide users. It histrically shares core programs with GAMESS-UK.
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.