This page gives pointers to
(Note: these links will be enabled as WWW pages become available)
These are freely-available molecular dynamics codes, most of them parallel, which may be well-suited to the problems you want to model. They can also be used in conjunction with LAMMPS to perform complementary modeling tasks.
CHARMM, AMBER, GROMACS, NAMD, NWCHEM, and Tinker are designed primarily for modeling biological molecules. CHARMM, AMBER, and GROMACS use atom-decomposition (replicated-data) strategies for parallelism; NAMD and NWCHEM use spatial-decomposition approaches, similar to LAMMPS. Tinker is a serial code. DL_POLY includes potentials for a variety of biological and non-biological materials; both a replicated-data and spatial-decomposition version exist.
The LAMMPS package itself includes only the simplest of visualization tools.
These are high-quality visualization packages we recommend:
The LAMMPS package contains auxiliary tools that convert LAMMPS output to some of these formats.
Our group has also written and released a toolkit called Pizza.py which provides tools for doing LAMMPS pre- and post-processing, including visualization. Pizza.py is written in Python, is available for download from this page. It includes Python wrappers that drive the Raster3d and RasMol packages listed above. It also includes tools that convert LAMMPS output into files readable by VMD and AtomEye.
The company Scienomics has created an interface to LAMMPS as part of their Materials and Processes Simulations (MAPS) platform which is described at their WWW page. It can be used to visualize and perform analysis on the output of LAMMPS simulations.
Guido Germano (Philipps-Universitaet Marburg), sent a link to his freely-available package QMGA which does OpenGL rendering of non-spherical (and spherical) objects. This would be useful for visualization of aspherical particles simulated with LAMMPS.