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"atomistic.software - atomistic simulation engines and their citation trends". GitHub This page was last edited on 18 December 2024, at 15:37 (UTC). Text is ...
Comprehensive life science modeling and simulation suite of applications focused on optimizing drug discovery process: small molecule simulations, QM-MM, pharmacophore modeling, QSAR, protein-ligand docking, protein homology modeling, sequence analysis, protein-protein docking, antibody modeling, etc. Proprietary, trial available
Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) is a molecular dynamics program from Sandia National Laboratories. [1] LAMMPS makes use of Message Passing Interface (MPI) for parallel communication and is free and open-source software , distributed under the terms of the GNU General Public License .
Materials Square [14] - a cloud-based materials simulation web platform, provides GUI for Quantum Espresso, LAMMPS, and Open Calphad; MBN Explorer and MBN Studio [15] [16] MD-kMC [17] PARCAS [18] [19] [20] – Open source molecular dynamics code; SAMSON: interactive carbon nanotube modeling [21] and simulation [22] Scigress; TubeASP [23 ...
QuantumATK (formerly Atomistix ToolKit or ATK) is a commercial software for atomic-scale modeling and simulation of nanosystems. The software was originally developed by Atomistix A/S, and was later acquired by QuantumWise following the Atomistix bankruptcy. [1] QuantumWise was then acquired by Synopsys in 2017. [2]
CP2K is a freely available quantum chemistry and solid state physics program package, written in Fortran 2008, to perform atomistic simulations of solid state, liquid, molecular, periodic, material, crystal, and biological systems.
Atomistix Virtual NanoLab (VNL) is a commercial point-and-click software for simulation and analysis of physical and chemical properties of nanoscale devices. Virtual NanoLab is developed and sold commercially by QuantumWise A/S. [1] QuantumWise was then acquired by Synopsys in 2017. [2]
Fully featured molecular modeling and simulation program, incl., structure prediction and docking. Graphical or text mode (clusters), Python interface. Key.