Draft:DAMASK (software)
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| Original author(s) | Martin Diehl, Philip Eisenlohr, Franz Roters, Pratheek Shanthraj |
|---|---|
| Developer(s) | [[]] |
| Initial release | 2007 |
| Stable release | 7October2021
/ October 7, 2021 |
| Repository | git |
| Written in | Fortran, Python |
| Operating system | Cross-platform: Linux, macOS |
| Platform | x86-64 |
| Available in | English |
| Type | Crystal Plasticity |
| License | GNU General Public License |
| Website | damask |
Düsseldorf Advanced Material Simulation Kit (DAMASK) is a Crystal Plasticity program from Max Planck Institute for Iron Research.[1] DAMASK makes heavy use of Portable, Extensible Toolkit for Scientific Computation (PETSc) and is free and open-source software, distributed under the terms of the GNU General Public License.[1]
LAMMPS was originally developed under a Cooperative Research and Development Agreement (CRADA) between two laboratories from United States Department of Energy and three other laboratories from private sector firms.[2] As of 2016[update], it is maintained and distributed by researchers at the Sandia National Laboratories and Temple University.[2]
Features
For computing efficiency, LAMMPS uses neighbor lists (Verlet lists) to keep track of nearby particles. The lists are optimized for systems with particles that repel at short distances, so that the local density of particles never grows too large.[3]
On parallel computers, LAMMPS uses spatial-decomposition techniques to partition the simulation domain into small 3d sub-domains, one of which is assigned to each processor. Processors communicate and store ghost atom information for atoms that border their subdomain. LAMMPS is most efficient (in a parallel computing sense) for systems whose particles fill a 3D rectangular box with approximately uniform density.
LAMMPS is coupled to many analysis tools and engines as well.[4][5][6]
See also
References
- ^ a b "DAMASK - the Düsseldorf Advanced Material Simulation Kit". Max-Planck-Institut für Eisenforschung GmbH. Retrieved 2021-10-20.
- ^ a b Cite error: The named reference
LAMMPSwas invoked but never defined (see the help page). - ^ Plimpton, S. (1993-05-01). "Fast parallel algorithms for short-range molecular dynamics". doi:10.2172/10176421.
{{cite journal}}: Cite journal requires|journal=(help) - ^ Stukowski, Alexander (2009-12-15). "Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool". Modelling and Simulation in Materials Science and Engineering. 18 (1): 015012. doi:10.1088/0965-0393/18/1/015012. ISSN 0965-0393.
- ^ "dSEAMS: Deferred Structural Elucidation Analysis for Molecular Simulations" (Document). doi:10.1021/acs.jcim.0c00031.s001.
{{cite document}}: Cite document requires|publisher=(help) - ^ McGibbon, Robert T; Beauchamp, Kyle A; Schwantes, Christian R; Wang, Lee-Ping; Hernández, Carlos X; Harrigan, Matthew P; Lane, Thomas J; Swails, Jason M; Pande, Vijay S (2014-09-09). "MDTraj: a modern, open library for the analysis of molecular dynamics trajectories". Biophysical Journal. 109 (8): 1528–32. bioRxiv 10.1101/008896. doi:10.1016/j.bpj.2015.08.015. PMC 4623899. PMID 26488642.
External links
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