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


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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dc.contributor.author Molecke, Ryan
dc.date.accessioned 2011-09-16T18:05:56Z
dc.date.available 2011-09-16T18:05:56Z
dc.date.issued 2011-09-16
dc.date.submitted July 2011
dc.identifier.uri http://hdl.handle.net/1928/13884
dc.description.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. en_US
dc.description.sponsorship American Cancer Societ, National Institutes of Health, National Nanoscience Infrastructure Network en_US
dc.language.iso en_US en_US
dc.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 en_US
dc.subject.lcsh Nanostructures--Design and construction.
dc.subject.lcsh Nanoscience.
dc.subject.lcsh Coupled problems (Complex systems)
dc.title Characterization, modeling, and simulation of multiscale directed-assembly systems en_US
dc.type Dissertation en_US
dc.description.degree Nanoscience and Microsystems Engineering en_US
dc.description.level Doctoral en_US
dc.description.department University of New Mexico. Nanoscience and Microsystems Program en_US
dc.description.advisor Brinker, C. Jeffrey
dc.description.committee-member Brinker, C. Jeffrey
dc.description.committee-member Atlas, Susan
dc.description.committee-member Schunk, P. Randall
dc.description.committee-member Steinberg, Stanly

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