For organizations
Create one governed application service for laboratories, engineering groups, and teaching environments on infrastructure your organization controls.
Classical molecular dynamics from atomistic to coarse-grained and mesoscale models, with the simulation space divided among MPI processes for multi-node simulations.
Provide research and engineering teams with approved applications and reproducible execution without asking them or your infrastructure team to maintain every software stack.
Create one governed application service for laboratories, engineering groups, and teaching environments on infrastructure your organization controls.
Choose an available application, configure a simulation, submit and track the run, review logs and status, and retrieve the recorded results.
Control approved applications and versions, licensing integration, access, resource quotas, execution policies, data location, and run history.
We package and validate applications, deploy the service on your OpenStack infrastructure, integrate licenses where required, and provide ongoing operations.
LAMMPS is a classical molecular dynamics code organized around spatial decomposition and a very large library of interatomic potentials, from simple Lennard-Jones through EAM and ReaxFF to machine-learned potentials.
It is deliberately modular. Most groups use it as a simulation engine they script, rather than as a fixed application.
Follow fracture, dislocation dynamics, and mechanical response at atomistic resolution, where a continuum model stops answering the question.
Simulate surfaces, interfaces, and layered systems, where the structure at the boundary sets the behaviour of the whole.
Reach time and length scales an all-atom model cannot, including granular and mesoscale flows.
Work with ReaxFF and related potentials where bonds break and form and a fixed bond topology will not do.
Submit input scripts for managed execution. MPI divides the simulation space among processes so that a model that will not fit on one node can run across the cluster. Parameter sweeps can run as grouped simulations.
Run many parameter combinations independently, then collect their outputs under the same managed simulation workflow.