An open-source application for semi-empirical quantum chemical calculation based on NDDO (neglect of diatomic differential overlap) approximation. This program calculates, for a given molecule or a crystal, molecular orbits and atomic forces, as well as vibration spectra, thermal quantities (heat of formation etc.), isotopic exchange effect, force constant, and so on. It can also treat radicals and ions.
An open-source application for molecular dynamics to simulate biopolymers such as proteins and nuclear acids. This application can perform high-speed molecular dynamics simulation by hybrid parallel computing maintaining high-accuracy energy conservation. This application also support high-speed calculation of long-range interaction based on the particle mesh Ewald method. The code is released under GPL lisense.
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.
Parallel C++ Library for tensor network methods. This library provides common operations, including tensor contraction and singular value decomposition and supports a similar interface as Numpy and Scipy in Python.
Mm2cML is a web application that structure files can be generated from molecular model images. By carrying out three-dimensional reconstruction using OpenMVG and OpenMVS from molecular model images photographed by smartphones or digital cameras, and arranging atoms on the basis of them, users can obtain structure files (CML format) usable for molecular simulation. The simulation can be carried out on the basis of the structure examined using the molecular model in the real world.
Software package that implements moment tensor potentials. Potentials can be trained and used for molecular dynamics calculations using LAMMPS. Active learning combined with molecular dynamics calculations is also available.
A Python library for manipulating symmetry operations and automatically generating symmetry-adapted multipole basis (SAMB) based on crystallographic point and space groups. By using QtDraw, users can also visualize the output of this library.
Script generation tools to manage large-scale computations on supercomputers and clusters. Moller is provided as part of the HTP-Tools package, designed to support high-throughput computations. It is a tool for generating batch job scripts for supercomputers and clusters, allowing parallel execution of programs under a series of computational conditions, such as parameter parallelism.
A benchmark framework for evaluating general-purpose, i.e., universal, machine learning potentials, along with a leaderboard based on those evaluations. Rankings are determined by a comprehensive assessment that considers the accuracy of predicted formation energy of materials, structural relaxation, and thermal conductivity. Recently, in addition to public research institutions such as universities, major companies like Meta, Microsoft, and Google have also joined the development of universal potentials, taking top positions on the leaderboard.
Payware for first-principles quantum chemical calculation. This application performs molecular orbital calculation based on Hartree-Fock approximation, density functional method, and post-HF methods such as MP, f12, multi-configuration SCF, and coupled cluster method. It also implements calculation by path-integral instanton, quantum Monte Carlo, and density-matrix renormalization group method.