Self-Assembly in the context of micro-scale integration refers to a developing set of techniques which exploit phenomena resulting in the spontaneous integration of micro-scale components into designed systems. Self-Assembly may be leveraged most effectively in parallel assembly processes. This thesis studies the modeling of micro-scale self-assembly processes as stochastic processes. The researchers propose that self-assembly processes may be modeled as Markov chains. In order to develop these models a Self-Assembly test system was created and trials were conducted using this system. Initial tests into the hypothesis that variables contributing to the transition probabilities include the kinetic energy of the assembly interaction, the energy minimized during assembly, and the area fraction of bonding sites on the assembly surface are tested.
| Identifer | oai:union.ndltd.org:USF/oai:scholarcommons.usf.edu:etd-2655 |
| Date | 07 July 2010 |
| Creators | Hendrick, Gary |
| Publisher | Scholar Commons |
| Source Sets | University of South Flordia |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Graduate Theses and Dissertations |
| Rights | default |
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