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MicelleMD

This resource has a 5.8 Ranking

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Usage Stats
Overall Period: Updated 04 Dec, 2008
Users: 179
Jobs: 757
Avg. exec. time: 15 mins
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Avg. Review: 0.0 out of 5 stars
Citations: 0

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  • 1 (published)
Version 1 - published on 21 Sep, 2006
Contributor(s) Kunal Shah
Intel Corporation

Patrick Chiu, Jing Xu, Susan Sinnott
University of Florida
At a glance Parallel Molecular Dynamics (MD) code that models surfactant structures in water and at liquid/solid interfaces.
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Description

Experimentally, great strides have been made in understanding surfactant aggregation. Those experimental studies, however, have produced little insight into understanding the behavior of surfactants at the molecular level; the mechanics of which are still to be explored. Consequently, new developments in molecular dynamics (MD) simulation have been directed toward this area of study.

This research examines dilute and concentrated surfactant systems at the solid-liquid interface. MD simulations are run to study dodecyltrimethyl ammonium bromide (C12TAB) surfactants and micelles in water, on silica and graphite surfaces, and during indentation. Surfactants have been used for dispersion in detergents, paints, pharmaceutics, and microelectronics such as in chemical mechanical polish (CMP) processing of silicon wafers.

Credits

This work is supported by the Particle Science and Engineering Center at the University of Florida under Grant No. EEC-9402989 and is carried out in collaboration with Professor Brij Moudgil and Professor Jose Fortes (University of Florida). Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).

Cite this work

If you reference this work in a publication, please cite as follows:

  • Shah, Kunal; Chiu, Patrick; Xu, Jing; Sinnott, Susan (2006), "MicelleMD," doi: 10254/nanohub-r1653.1.

    BibTex | EndNote

In addition, we would appreciate it if you would add the following acknowledgment to your publication:

  • Simulation services for results presented here were provided by the Network for Computational Nanotechnology (NCN) at nanoHUB.org

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