A collection of software tools for molecular dynamics calculations. Various interatomic potentials and tight binding models are implemented, and numerous external applications can be invoked. It also supports training and evaluation of GAP (Gaussian Approximation Potential), which is a form of machine learning potential.
Code for unfolding first-principles electronic energy bands calculated using supercells into the corresponding primary-cell Brillouin zone. It uses maximally-localized Wannier functions calculated using Wannier90.
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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Python library for the Open Quantum Materials Database, a first-principles computational database. qmpy supports several analysis tools such as crystal structures and phase diagrams. Users can perform automatic calculations using VASP.
An application for ab initio quantum chemical calculation. This application can calculate molecular structures, chemical reactivity, frequency analysis, electron spectrum, and NMR spectrum with high accuracy. It implements the density functional theory, the Hartree-Fock(HF) method as well as recently developed methods such as the post-HF correlation method. It also has GUI for molecular modeling and a tool for preparation of input files.
An open-source application for first-principles molecular dynamics based on a pseudopotential method using plane bases. This application can perform electronic-state calculation and molecular dynamics employing the Car-Parrinello method. It implements MPI parallelization, which enables us to perform efficient parallel computing in various environments including large-scale parallel computers. The program is written in C++, and is distributed in source form under the GPL license.
QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code. Its main applications are electronic structure calculations of molecular, quasi-2D and solid-state systems. Variational Monte Carlo (VMC), diffusion Monte Carlo (DMC), orbital space auxiliary field QMC (AFQMC) and a number of other advanced QMC algorithms are implemented.
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 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.
3D drawing software for molecules and crystals. QtDraw supports drawings of 3D objects such as atomic orbitals, polygons and spline curves. By installing MultiPie, users can draw the above objects with the help of symmetry operations and irreducible representations. These functionalities can be called by Python code.