Modelling of Plasmonic and Graphene Nanodevices (Hardcover, 2014 ed.)

The thesis covers a broad range of electronic, optical and opto-electronic devices and various predicted physical effects. In particular, it examines the quantum interference transistor effect in graphene nanorings; tunable spin-filtering and spin-dependent negative differential resistance in composite heterostructures based on graphene and ferromagnetic materials; optical and novel electro-optical bistability and hysteresis in compound systems and the real-time control of radiation patterns of optical nanoantennas. The direction of the main radiation lobe of a regular plasmonic array can be changed abruptly by small variations in external control parameters. This optical effect, apart from its relevance for applications, is a revealing example of the Umklapp process and, thus, is a visual manifestation of one of the most fundamental laws of solid state physics: the conservation of the quasi-momentum to within a reciprocal lattice vector. The thesis analyzes not only results for particular device designs but also a variety of advanced numerical methods which are extended by the author and described in detail. These methods can be used as a sound starting point for further research.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	June 2014
First published:	2014
Authors:	Javier Munarriz Arrieta
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Hardcover
Pages:	121
Edition:	2014 ed.
ISBN-13:	978-3-319-07087-2
Categories:	Books > Science & Mathematics > Physics > Optics (light) Books > Professional & Technical > Technology: general issues > Nanotechnology Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Other manufacturing technologies > Precision instruments manufacture > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Electronic devices & materials > General
LSN:	3-319-07087-8
Barcode:	9783319070872

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