Open source software for massively parallel quantum chemistry calculations. Energies and geometries of nano-sized molecules can be calculated without fragmentation. The program supports Hartree-Fock, density functional theory, and second-order Møller-Plesset perturbation theory calculations. The input format, execution method, and program structure are simple, and frequently used routines can be easily extracted.
Open-source program for first-principles calculation based on pseudo-potential and plane-wave basis. This package performs electronic-state calculation with high accuracy based on density functional theory. In addition to basic-set programs, many core-packages and plugins are included. This package can be utilized for academic research and industrial development, and also supports parallel computing.
Open-source package for first-principles calculation based on pseudo-potential and plane-wave basis. This package performs various electronic-state calculation by density functional theory such as band calculation of solids, and structure optimization of surfaces/interfaces. Detailed tutorials and documents are well prepared in this package, and many physical quantities including chemical reaction and lattice vibration can be obtained easily.
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 DFTB (Density Functional Tight Binding) calculation combined with Divide-and-Conquer (DC) method. The DC-DFTB-K program enables geometry optimization and molecular dynamics simulation of large molecular systems with linear-scaling computational cost. DFTB electronic structure calculation of 1 million atom system has been demonstrated using MPI/OpenMP hybrid parallel computation on the K computer.
An application for ab initio quantum chemical calculation. This application performs electronic structure calculation of molecules by the Hartree-Fock, density functional, the many-body perturbation, configuration interaction theories, and so on. While this application is a derivative of GAMESS-US for specific use of Intel compatible CPU, it does not include recently developed calculation methods such as the CC and FMO methods.
RSPACE is a first-principles code package based on a real-space finite-difference pseudo-potential method. It computes electronic states with high-speed and high precision in aperiodic systems of surfaces, solid interfaces, clusters, nanostructures, and so forth. It provides large-scale computing for semiconductor devices of nanostructure surface and interface reactions, calculation of transport properties in semi-infinite boundary conditions, and a massively parallel computing using the space partitioning method.
STATE is a first-principles plane-wave pseudo-potential code. It provides electronic state calculations and molecular dynamics simulations. This code is suitable for simulating chemical reactions at solid surfaces and solid–liquid interfaces, i.e., It is able to investigate reaction paths and activation barriers of chemical processes at interfaces. It can also include Van der Waals corrections to conventional density functional theory.
QMAS is an ab-initio electronic-structure computational code package based on the projector augmented-wave (PAW) with a plane wave basis set. It computes electronic states and various physical properties efficiently with high precision for a wide range of physical systems. It provides geometry optimization, electronic states in a static magnetic field, permittivity distribution at the atomic-scale, energy and stress distribution, positron annihilation parameters, and so forth.
FORTRAN-based software package developed by the Behler Group for implementing Behler-Parinello neural network potentials. Potentials can be constructed, evaluated, and used for molecular dynamics simulations using LAMMPS. The newest generation of neural network potentials that take into account long-range electrostatic interactions are implemented.