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Evolutionary Design of Plasmonic Nanoantennas for Multispectral Applications

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Moerland, Robert
dc.contributor.author Eguiluz Madariaga, Lur
dc.date.accessioned 2015-07-01T08:14:29Z
dc.date.available 2015-07-01T08:14:29Z
dc.date.issued 2014
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/17058
dc.description.abstract Nanoantennas are used to control light on the nanoscale in a wide range of applications. However, the interaction mechanisms between light and plasmonic structures are complex and, therefore, the design of a nanoantenna for a given application is not straightforward. Analytical methods are scarce and typically only valid for simple problems. Therefore, more generic approaches are indispensable for the design of complex nanoantennas that are subject to multiple conflicting requirements, such as those for multispectral applications. In this thesis, a generic method is developed for the design of plasmonic nanoantennas, subject to arbitrary requirements. The method combines a binary genetic optimization algorithm with a finite-difference time-domain (FDTD) solver. In principle applicable to a wide range of structures, the method is implemented and tested for the design of planar checkerboard-like nanostructures. Specifically, the method is demonstrated for the design of a gold nanoantenna exhibiting opposed responses for two different selected wavelengths: the nanoantenna is required to enhance the field at the center of the structure for the first wavelength, while being transparent at the second wavelength. By independently calculating the electromagnetic response of the gold nanoantennas at both wavelengths, a multiobjective optimization is performed. The structures generated throughout the optimization are used to find an approximation of the Pareto front. The optimal structure is presented, together with an analysis which determines the most important geometric parts of the structure for optimal functioning of the antenna. The presented results validate the method and show its potential in the design of structures for novel applications, both for single and multiple wavelengths en
dc.format.extent iv + 90 s. + liitt. 12 s.
dc.language.iso en en
dc.title Evolutionary Design of Plasmonic Nanoantennas for Multispectral Applications en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Perustieteiden korkeakoulu fi
dc.contributor.department Teknillisen fysiikan laitos fi
dc.subject.keyword plasmonic nanoantennas en
dc.subject.keyword multispectral applications en
dc.subject.keyword cloaking en
dc.subject.keyword genetic optimization algorithm en
dc.identifier.urn URN:NBN:fi:aalto-201507013700
dc.type.dcmitype text en
dc.programme.major Optiikka ja molekyylimateriaalit fi
dc.programme.mcode Tfy-1
dc.type.ontasot Diplomityö fi
dc.type.ontasot Master's thesis en
dc.contributor.supervisor Kaivola, Matti
local.aalto.openaccess no
local.aalto.digifolder Aalto_69130
dc.rights.accesslevel closedAccess
local.aalto.idinssi 49334
dc.type.publication masterThesis
dc.type.okm G2 Pro gradu, diplomityö


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