Spintronic and plasmonic applications of electrodeposition on semiconductors


Li, X. (2009) Spintronic and plasmonic applications of electrodeposition on semiconductors. University of Southampton, School of Electronics and Computer Science, Doctoral Thesis , 146pp.

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Description/Abstract

In this thesis, metal electrodeposition on semiconductor substrates is investigated. We show that electrodeposition of metals on n-type Si and Ge is an excellent method
to create Schottky barriers and that this method has a number of unique advantages over other (physical) deposition methods. These advantages can be used to improve the prospects of applications in the area of Spintronics and Plasmonics.

Firstly, the excellent current-voltage and capacitance-voltage characteristics of electrodeposited Schottky barriers indicate that they have an ideality factor close to unity and that the reverse bias leakage is orders of magnitude smaller than in
evaporated Schottky barriers. These characteristics can be used to make highly doped Schottky barriers in which all reverse bias current is due to tunnelling. For magnetic metals, these Schottky barriers hence allow spin-conserved conduction which is a necessary step towards semiconductor spin valves and spin transistors.

Secondly, electrodeposition is not a line-of-sight-technique and can hence be used to grow three dimensional structures when an appropriate pattern is created. Self assembly of latex spheres is shown to change both qualitative and quantitatively
upon using a lithographically defined pattern. By using electrodeposition of gold around this latex sphere pattern nano-void array photonic crystals are created. We show that plasmonic modes are detectable in these arrays opening up the path to on-chip optical communication.

Item Type: Thesis (Doctoral)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: University Structure - Pre August 2011 > School of Electronics and Computer Science > Nano-Scale Integration Group
ePrint ID: 66205
Date Deposited: 12 May 2009
Last Modified: 27 Mar 2014 18:47
URI: http://eprints.soton.ac.uk/id/eprint/66205

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