A general-purpose open-source application for classical molecular dynamics simulation, distributed under the GPL license. This package can perform molecular dynamics calculation of various systems such as soft matters, solids, and mesoscopic systems. It can be used as a simulator of classical dynamics of realistic atoms as well as general model particles. It supports parallel computing through spatial divisions. Its codes are designed so that their modification and extension are easy.
Software package to implement Behler-Parinello neural network potentials. Potentials can be trained from structure-energy/ interatomic forces/stress data, and molecular dynamics calculations using LAMMPS can also be performed using learned potentials. A prediction uncertainty measure can also be calculated simultaneously.
The fragment molecular orbital (FMO) method can efficiently do quantum-mechanical calculations of large molecular systems by splitting the whole system into small fragments. The FMO program is distributed within quantum-chemical program suite GAMESS-US. FMO can provide various information regarding the structure and function of biopolymers, such as the interaction between a protein and a ligand.
An open-source application for molecular simulations. This application supports various methods such as classical and ab initio molecular dynamics, path integral simulations, replica exchange simulations, metadynamics, string method, surface hopping dynamics, QM/MM simulations, and so on. A hierarchical parallelization between molecular structures (replicas) and force fields (adiabatic potentials) enables fast and efficient computation.
An open-source application for visualization developed for input and output of GAMESS. This application supports various types of input formats such as GAMESS, XYZ, MolDel, pdb, and CML as well as input by GUI and the Z-matrix format. It can visualize molecular orbitals, electron densities, electrostatic potentials, and normal modes, and can output results into various formats.
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.
A support application for preparing input files of molecular dynamics calculation. This application supports manual input of atomic coordinates and bond informations, reading files of protain structure database, and editing data by graphical user interface. It also implements various functions such as addition of hydrogen atoms and composition of data. and can treat a large number of atoms using only a moderate memory cost.
CONQUEST is a linear-scaling DFT (Density Functional Theory) code based on the density matrix minimization method. Since its computational cost, for both memory and computational costs, is only proportional to the number of atoms N of the target systems, the code can employ structure optimization or molecular dynamics on very large-scale systems, including more than hundreds of thousands of atoms. It also has high parallel efficiency and is suitable for massively parallel calculations.
A simple open-source application for visualization compatible to Protein Data Bank (PDB) format. This application also supports other formats such as Sybyl, Molden, Mopac, and CHARMM. It is a pioneering piece of software as an interactive PDB viewer.
An open-source application of molecular modeling/editing for quantum chemical calculation. This application supports graphical user interface (GUI) for input-file preparation for software of quantum chemical calculation such as GAMESS, Gaussian, etc., and displays their results by reading output files. It can also make movies in the formats of vector graphics, POV-Ray, and so on.