An open-source application for first-principles molecular dynamics simulation based on pseudo-potential and plane-wave basis set. This application enables accurate molecular dynamics by density functional theory and Car-Parrinello method. It also supports structure optimization, Born-Oppenheimer molecular dynamics, path-integral molecular dynamics, calculation of response functions, the QM/MM method, and excited-state calculation.
An official Gaussian-series payware for molecular visualization. Must be used with Gaussian, the well-known software of quantum chemistry calculation. This application provides many functions such as molecular modeling, parameter setting, job management and visualization of calculation results. It also performs input file generation for Gaussian, and supports read/write of files with other formats such as Sybyl, Molden, PDB and CIF.
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.
Python/C++ based software package that employs deep learning techniques for construction of interatomic potentials. It implements the Deep Potential, which defines atomic environment descriptors with respect to a local reference frame. The output of many first-principles and molecular dynamics applications can be used as training data, and the trained potentials can be used for molecular dynamics calculations using LAMMPS and path integral molecular dynamics calculations using i-PI.
An application for structure prediction based on the genetic algorithm. This application can predict the structure and composition of stable phase of crystals, molecules, atomic clusters, and so on by using first-principles calculation and molecular dynamics. This application implements interfaces with various programs such as VASP, LAMMPS, MOPAC, GULP, JDFTx, etc, and runs efficiently on parallel computing architectures.
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.
An application for numerical renormalization group calculations. This application can solve magnetic impurity problems described by the Kondo model and the Anderson model. Input files are prepared for typical impulity models. By modifying input files, one can study more general models of the magnetic impurity problems. A mathematica program for generation of input files are also included.
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.
PolyParGen is a free web application that automatically generates OPLS force field for molecular dynamics calculations. It is possible to create OPLS-AA parameters of macromolecules such as fullerenes with complex crosslinking structures, graphene and cyclic molecules. The generated OPLS-AA force field parameter file in Gromacs format is automatically sent to users.
An open source library for implementing tensor networks. It is developed based on TensorFlow and is designed to be easily used by experts in the field of machine learning as well as in the field of physics. In addition to TensorFlow, it includes wrappers for JAX, PyTorch, and Numpy.