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.
An open source C++ library designed for the development of tensor network algorithms. The goal of this library is to provide basic tensor operations with an easy-to-use interface, and it also provides a Network class that handles the graphical representation of networks. A wrapper for calling it from Python is also provided.