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dc.contributor.authorMolecke, Ryan
dc.date.accessioned2011-09-16T18:05:56Z
dc.date.available2011-09-16T18:05:56Z
dc.date.issued2011-09-16
dc.date.submittedJuly 2011
dc.identifier.urihttp://hdl.handle.net/1928/13884
dc.description.abstractNanoscience 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.sponsorshipAmerican Cancer Societ, National Institutes of Health, National Nanoscience Infrastructure Networken_US
dc.language.isoen_USen_US
dc.subjectNanoscience, 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 GISAXSen_US
dc.subject.lcshNanostructures--Design and construction.
dc.subject.lcshNanoscience.
dc.subject.lcshCoupled problems (Complex systems)
dc.titleCharacterization, modeling, and simulation of multiscale directed-assembly systemsen_US
dc.typeDissertationen_US
dc.description.degreeNanoscience and Microsystems Engineeringen_US
dc.description.levelDoctoralen_US
dc.description.departmentUniversity of New Mexico. Nanoscience and Microsystems Programen_US
dc.description.advisorBrinker, C. Jeffrey
dc.description.committee-memberBrinker, C. Jeffrey
dc.description.committee-memberAtlas, Susan
dc.description.committee-memberSchunk, P. Randall
dc.description.committee-memberSteinberg, Stanly


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