XenonPy is a high-throughput material exploration framework based on machine learning technologies. This library can generate various chem/phys descriptors for machine learning to explore materials in virtual environment. Descriptors in matminer can be also used. Model training is done by PyTorch. Visualization tool for descriptor and transfer learning framework are also provided.
w2dynamics is a hybridization-expansion continuous-time (CT-HYB) quantum Monte Carlo package, developed jointly in Wien and Würzburg. Users can calculate local two- and four-pointfermionic Green’s functions of multi-orbital impurity models. This application also provides DMFT Python code and an interface to wannier90 generated Hamiltonians.
First-principles software based on plane-wave basis and norm-conserving pseudopotential methods. Time-dependent DFT has been implemented. Users can perform real-time simulations for electron-ion dynamics under a time-dependent external field. Pseudopotentials with FPSEID21 format should be used, and those are downloadable from the website.
An application for first-principles calculation by the joint-DFT method based on a plane-wave basis. By implementation of the joint-DFT method, this application realizes a good convergence for electronic state calculation of molecules in liquid, particular for charged systems. This application is written by C++11, and supports GPU calculation by CUDA. This application also supports diffusive Monte Carlo simulation in cooperation with CASINO.
A package including patches and scripts for adding transition-state calculation to the first-principles calculation application VASP. This package adds new functions to VASP such as calculation of reaction paths, transition-state structures, and rate constants, as well as a set of scripts for setting up calculations and analyzing results. A program for the Bader analysis for atomic charge assignment is also included.
A unified wrapper library for sequential and parallel versions of eigenvalue solvers. Sequential versions of dense-matrix diagonalization (LAPACK), parallel versions of dense-matrix diagonalization (EigenExa, ELPA, ScaLAPACK, etc.), and sequential/parallel versions of sparse-matrix diagonalization (SLEPc, Trilinos/Anasazi, etc.) can be installed quickly, and can be called from user’s program easily. Physical quantities written by eigenvalues or eigenvectors can also be evaluated by both sequential and parallel computation.
QuSpin is a python package for performing exact diagonalization and real- or imaginary-time evolution for quantum many-body systems. Using QuSpin, for example, it is possible to study the many-body localization and the quantum quenches in the Heisenberg chain. Moreover, QuSpin specifies the symmetries in the systems such as the total magnetization, the parity, the spin inversion, the translation symmetry, and their combinations.
An open-source application for atomic structure analysis from powder diffraction data. This application can calculate atomic coordinates, valence sums, and chemical bonds from diffraction data of crystals, nanostructures, and amorphous materials. It is written in Python, and realizes multi-functional fitting and flexible data analysis.
A post-processor of first-principles calculations for performing COHP (crystal orbital Hamilton population) and COOP (crystal orbital overlap population) chemical bonding analysis. It works with VASP, ABINIT and Quantum ESPRESSO output. The program is provided under an academic-only license.
Python-based simulations of chemistry framework (PySCF) is a general-purpose electronic structure platform written in Python. Users can perform mean-field and post-mean-field methods with standard Gaussian basis functions. This package also provides several interfaces to other software such as BLOCK and Libxc.