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Characterization, modeling, and simulation of multiscale directed-assembly systems

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/13884

Characterization, modeling, and simulation of multiscale directed-assembly systems

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Title: Characterization, modeling, and simulation of multiscale directed-assembly systems
Author: Molecke, Ryan
Advisor(s): Brinker, C. Jeffrey
Committee Member(s): Brinker, C. Jeffrey
Atlas, Susan
Schunk, P. Randall
Steinberg, Stanly
Department: University of New Mexico. Nanoscience and Microsystems Program
Subject: Nanoscience, Microsystems, Nano, crystallography, surface energy, nanoparticle, LASER tweezers, optical trapping, multi-body physics, protein dynamics, protein clustering, clustering, order, colloid, colloids, colloid dynamics, Vincent potential, Yukawa potential, DLVO, Wulff shapes, Israelachvili, soft-colloids, soft-colloid, bio-nano, bio-nano interfaces, interfacial pyhsics, LAMMPS, atomic, molecular, massively-parallel, simulation, modeling, semi-empirical methods, GISAXS, simulated GISAXS
LC Subject(s): Nanostructures--Design and construction.
Nanoscience.
Coupled problems (Complex systems)
Degree Level: Doctoral
Abstract: Nanoscience is a rapidly developing field at the nexus of all physical sciences which holds the potential for mankind to gain a new level of control of matter over matter and energy altogether. Directed-assembly is an emerging field within nanoscience in which non-equilibrium system dynamics are controlled to produce scalable, arbitrarily complex and interconnected multi-layered structures with custom chemical, biologically or environmentally-responsive, electronic, or optical properties. We construct mathematical models and interpret data from direct-assembly experiments via application and augmentation of classical and contemporary physics, biology, and chemistry methods. Crystal growth, protein pathway mapping, LASER tweezers optical trapping, and colloid processing are areas of directed-assembly with established experimental techniques. We apply a custom set of characterization, modeling, and simulation techniques to experiments to each of these four areas. Many of these techniques can be applied across several experimental areas within directed-assembly and to systems featuring multiscale system dynamics in general. We pay special attention to mathematical methods for bridging models of system dynamics across scale regimes, as they are particularly applicable and relevant to directed-assembly. We employ massively parallel simulations, enabled by custom software, to establish underlying system dynamics and develop new device production methods.
Graduation Date: July 2011
URI: http://hdl.handle.net/1928/13884


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