Developed by Sandia National Laboratories,
LAMMPS is an open-source software package designed for molecular
dynamics simulations. It implements multi-machine parallel computing
using MPI and provides empirical potential functions for atoms in the
periodic table. LAMMPS is adept at simulating real systems, such as
metals or water, with results consistent with experimental data. Learn more about LAMMPS, also here its LAMMPS GitHub.
Key Features of LAMMPS
Versatile Simulations: Capable of simulating liquid, solid, and gaseous states, and a variety of system types including all-atom, polymer, biological, metallic, granular, and coarse-grained models.
Optimization Algorithms: Employs well-established algorithms for efficient simulation of particles in different states.
Diverse Model Potentials: Offers a range of model potential functions for systems like polymer chains.
Multi-Scale Simulation Capability: Suitable for atomic, mesoscopic, and continuous scale matter systems.
Advanced Material Modeling: LAMMPS is a classical molecular dynamics code with a focus on material modeling.
Particle and Model Types
LAMMPS supports a wide array of particle types and models, including:
Atoms and coarse-grained particles
United-atom and all-atom polymers, organic molecules, proteins, and DNA
Metals, granular materials, and coarse-grained mesoscale models
Various finite-size particle models
Services and Applications
LAMMPS can be used for:
Hyperdynamics molecular dynamics
Parallel replica dynamics
Temperature accelerated dynamics
Material modeling
Properties calculation under thermal, mechanical, and chemical conditions
Computational Performance
Runs efficiently on single processors and in parallel
Utilizes message passing techniques and spatial decomposition
Accelerated performance on CPU, GPU, and Intel Xeon Phis
This example demonstrates how to run a simple case with LAMMPS. We utilize an example provided on GitHub, from which you'll need to download the zip file amoeba.zip. Additionally, you should create (or download) the run_script.sh file that prepares and runs the simulation inputs.
Steps to Execute on Our Platform
Upload Files: Click on the folder icon next to the Volume line and upload both amoeba.zip and run_script.sh to the working directory (/data) of your project.
Set Project Directory: Make sure the Project Directory is set to /data (or the mounted volume to entered!).
if you want to change the Project Directory, make sure to apply the changes in the run_script.sh accordingly.
Configure Run Script: In the Run Script field, enter run_script.sh as the input.
Create the Project: Click on Create to prepare your project environment.
Run the Container: Go to the project tab and start the container to run the script.