GPIUTMD: Difference between revisions

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'''GPIUTMD''' ('''G'''raphical '''P'''rocessors at '''I'''sfahan '''U'''niversity of '''T'''echnology for '''M'''any-particle '''D'''ynamics) <ref>[http://pubs.acs.org/doi/abs/10.1021/ma2005519 N. Nouri and S. Ziaei-Rad "A Molecular Dynamics Investigation on Mechanical Properties of Cross-Linked Polymer Networks" Macromolecules, '''44''' (13), pp 5481–5489 (2011)]</ref>  can simulate soft materials ([[Biological systems |biomolecules]], [[polymers]]) and solid-state materials (metals, semiconductors) and supports [[Coarse graining |coarse-grain systems]]. It can be used to model atoms or in general, as a GPU accelerated particle simulator at the nanoscale level.
'''GPIUTMD''' ('''G'''raphical '''P'''rocessors at '''I'''sfahan '''U'''niversity of '''T'''echnology for '''M'''any-particle '''D'''ynamics) <ref>[http://pubs.acs.org/doi/abs/10.1021/ma2005519 N. Nouri and S. Ziaei-Rad "A Molecular Dynamics Investigation on Mechanical Properties of Cross-Linked Polymer Networks" Macromolecules, '''44''' (13), pp 5481–5489 (2011)]</ref>  can simulate soft materials ([[Biological systems |biomolecules]], [[polymers]]) and solid-state materials (metals, semiconductors) and supports [[Coarse graining |coarse-grain systems]]. It can also simulate particle interactions using DEM (Discrete Element Methods). It can be used to model atoms or in general, as a GPU accelerated particle simulator at the nanoscale and mesoscale level.
GPIUTMD runs on a single workstation using the [http://www.nvidia.com NVIDIA] GPU Cards.  
GPIUTMD runs on a single workstation using the [http://www.nvidia.com NVIDIA] GPU Cards.  
==References==
==References==

Latest revision as of 07:01, 21 May 2012

GPIUTMD (Graphical Processors at Isfahan University of Technology for Many-particle Dynamics) [1] can simulate soft materials (biomolecules, polymers) and solid-state materials (metals, semiconductors) and supports coarse-grain systems. It can also simulate particle interactions using DEM (Discrete Element Methods). It can be used to model atoms or in general, as a GPU accelerated particle simulator at the nanoscale and mesoscale level. GPIUTMD runs on a single workstation using the NVIDIA GPU Cards.

References[edit]

External links[edit]