Hostname: page-component-745bb68f8f-v2bm5 Total loading time: 0 Render date: 2025-01-12T04:25:45.019Z Has data issue: false hasContentIssue false
  • English
  • Français

Modeling Evaporation Driven Self-Assembly Systems for Magnetic Storage Arrays

Published online by Cambridge University Press:  01 February 2011

John Dyreby ,
Greg F. Nellis  and
Kevin T. Turner
John Dyreby
Affiliation:
jjdyreby@wisc.edu, Univ. of Wisconsin-Madison, Mech. Engr., 1513 University Ave, Madison, WI, 53706, United States, 608-265-2561
Greg F. Nellis
Affiliation:
gfnellis@engr.wisc.edu, University of Wisconsin-Madison, Computational Mechanics Center, 1513 University Ave, Madison, WI, 53706, United States
Kevin T. Turner
Affiliation:
kturner@engr.wisc.edu, University of Wisconsin-Madison, Computational Mechanics Center, 1513 University Ave, Madison, WI, 53706, United States
Get access

Abstract

A modeling methodology based on computational fluid dynamics (CFD) has been developed that is appropriate for the global regime of lithographically directed, evaporation driven self-assembly. The modeling technique has been experimentally verified through comparison with the well-known benchmark case of evaporation driven self-assembly associated with the evaporation of a colloidal, self-pinned droplet. The predicted evolution of the particle distribution during evaporation is compared to optical experimental measurements of the particle distribution within an evaporating droplet containing fluorescing nanoparticles.

Keywords

self-assemblynanostructurecolloid
Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 961: Symposium O – Nanostructured and Patterned Materials for Information Storage , 2006 , 0961-O16-05
Copyright
Copyright © Materials Research Society 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1. Liddle, J. A., Cui, Y., Alivisatos, P., J. Vac. Sci. Technol. B 22 (6), 3409–3414 (2004).Google Scholar
2. Bigioni, T. P., Lin, X., Nguyen, T. T., Corwin, E. I., Witten, T. A., Jaeger, H. M., Nature Mat. 5, 265–270, (2006).Google Scholar
3. Cui, Y., Björk, M. T., Lidle, J. A., Sönnichsen, C., Boussert, B., Alivisatos, A. P., Nano Letters 4 (6), 1093–1098, (2004).Google Scholar
4. Xia, D. and Brueck, S. R. J., J. Vac. Sci. Technol. B 22 (6), 3415–3420 (2004).10.1116/1.1821582Google Scholar
5. Deegan, R. D., Phys. Rev. E 61 (1), 475–485 (2000).Google Scholar
6. Fischer, B. J., Langmuir 18 (1), 60–67 (2002).Google Scholar
7. CFD-ACE+ ver. 2006, ESI Group, Paris.Google Scholar