LAMMPS: Difference between revisions

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[http://lammps.sandia.gov/ LAMMPS] stands for Large-scale Atomic/Molecular Massively Parallel Simulator. LAMMPS has potentials for soft materials (biomolecules, polymers) and solid-state materials (metals, semiconductors) and coarse-grain systems. It can be used to model atoms or, more generically, as a parallel particle simulator at the mesoscale or continuum levels.
'''LAMMPS''' ('''L'''arge-scale '''A'''tomic/'''M'''olecular '''M'''assively '''P'''arallel '''S'''imulator) <ref>[http://dx.doi.org/10.1006/jcph.1995.1039  Steve Plimpton "Fast Parallel Algorithms for Short-Range Molecular Dynamics", Journal of Computational Physics  '''117''' pp. 1-19 (1995)]</ref>  has potentials for soft materials ([[Biological systems |biomolecules]], [[polymers]]) and solid-state materials (metals, semiconductors) and [[Coarse graining |coarse-grain systems]]. It can be used to model atoms or, more generically, as a parallel particle simulator at the mesoscale or continuum levels.
 
LAMMPS runs on single-processor machines or in parallel using message-passing techniques and a spatial-decomposition of the simulation domain. The code is designed to be easy to modify or extend with new functionality.
LAMMPS runs on single-processor machines or in parallel using message-passing techniques and a spatial-decomposition of the simulation domain. The code is designed to be easy to modify or extend with new functionality.
==References==
==References==
#[http://dx.doi.org/10.1006/jcph.1995.1039  Steve Plimpton "Fast Parallel Algorithms for Short-Range Molecular Dynamics", Journal of Computational Physics  '''117''' pp. 1-19 (1995)]
<references/>
==External links==
*[http://lammps.sandia.gov/ LAMMPS Home page]
*[http://www.nvidia.com/object/lammps_on_tesla.html LAMMPS on Tesla GPUs]
[[Category: Materials modelling and computer simulation codes]]
[[Category: Materials modelling and computer simulation codes]]

Revision as of 15:35, 10 May 2010

LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) [1] has potentials for soft materials (biomolecules, polymers) and solid-state materials (metals, semiconductors) and coarse-grain systems. It can be used to model atoms or, more generically, as a parallel particle simulator at the mesoscale or continuum levels. LAMMPS runs on single-processor machines or in parallel using message-passing techniques and a spatial-decomposition of the simulation domain. The code is designed to be easy to modify or extend with new functionality.

References

External links