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Description
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Informations
Publié par | universitat_bielefeld |
Publié le | 01 janvier 2011 |
Nombre de lectures | 30 |
Langue | English |
Poids de l'ouvrage | 6 Mo |
Extrait
Realisation and Validation of a Biomimetic Mechanosensor
assembled by Nanowires and Giant Magneto Resistive Detection
Dissertation zur Erlangung des Grades eines
Doktors der Naturwissenschaften der
Fakultät für Physik der Universität Bielefeld
vorgelegt von
Philipp Schroeder, geboren am
27.06.1980 in Herford
durchgeführt im Geschäftsfeld Nano
Systems des Austrian Institute of
Technology in Wien
18.09.2011
Erklärung
Hiermit erkläre ich an Eides statt, dass ich die Arbeit selbstständig verfasst und keine außer den
angegebenen Hilfsmitteln verwendet habe.
(Philipp Schroeder)
Gutachter: PD Dr. Hubert Brückl
Prof. Dr. Andreas Hütten
Table of contents
1 Introduction ............................................................................................................. 5
1.1 Motivation ........... 5
1.2 Concept ................................................................................ 6
1.3 Classification of mechanosensors ....................................... 7
2 Characterization and tools ..................................................... 11
2.1 Atomic force microscopy (AFM) ...................................... 11
2.2 Magnetic force microscopy (MFM) .................................. 11
2.3 Scanning electron microscopy (SEM) ............................................................... 12
2.4 Energy dispersive x-ray analysis (EDX) ........................................................... 12
2.5 Transmission electron microscopy (TEM) ........................ 12
2.6 X-ray diffraction (XRD) .................................................................................... 13
2.7 Layer deposition and additional tools................................................................ 13
2.8 Electrochemistry ................................................................ 14
2.9 Probe station and agitation ................................................................................................................ 15
3 Giant Magneto Resistance ..................... 18
3.1 Interlayer exchange coupling ............................................................................................................ 18
3.1.1 RKKY coupling .......................... 18
3.1.2 Quantum interference model .......... 21
3.2 GMR theory ....................................................................................................................................... 24
3.2.1 Intrinsic GMR............................. 26
4 Processing .............................................. 28
4.1 GMR-sensors ..................................................................................................... 30
4.2 Nanowire synthesis............................ 31
4.2.1 Zinc nanowires ........................................................................................................................... 32
4.2.1.1 Post-synthesis oxidation of Zn nanowires ............... 38
4.2.1.2 Morphology alterations during oxidation ................................................................................ 39
4.2.1.3 Discussion ............................................................................................................................... 42
4.2.1.4 Zn nanorhombs and nanobelts ..................................... 44
4.2.2 Germanium nanowires ............................................................................... 47
4.2.3 Polypyrrole nanowires ................................................ 48
4.2.4 Nanorods by electron beam lithography (EBL) ............. 51
4.3 Magnetic tagging ................................................................................................ 52 4.3.1 Nanoparticles: thiolate-Au bond (Ge system) ............................................................................ 52
4.3.2 Sputter deposition and lift-off (Ge system) ................ 54
4.3.3 Nanoparticles: EDC-crosslinking (PPy system) ......... 55
4.3.4 Nanoparticles: non-specific binding (e-beam resist) .................................................................. 56
4.3.5 Sputter deposition ....................................................................................... 57
5 Measurements ........................................ 57
5.1 Zinc nanowires .................................................................. 57
5.1.1 Mechanical properties and resonance behavior .......................................... 63
5.1.2 Resonance behavior by means of finite element analysis and SEM characterization ................ 63
5.1.3 Conclusion .................................................................................................................................. 65
5.2 Germanium nanowires ...................... 66
5.3 Polypyrrole nanowires ....................................................................................................................... 68
5.4 E-beam resist nanorods ..................... 72
6 Micromagnetic simulation ................................................................ 74
6.1 OOMMF model ................................................................. 75
6.2 Polypyrrole nanowires ....................................................... 76
6.3 Zinc nanowires .................................. 79
6.4 E-beam resist nanorods ..................................................... 80
7 Conclusion ............................................................................................................. 82
7.1 Outlook .............................................. 84
Appendices ............... 85
A. Silicon nanowires by wet-etching ...................................................................................................... 85
B. Nanowires of polycyanurate thermoset .............................. 85
C. EDX results of section 5.3 .................................................................................................................. 87
D. Conversion of Miller- to Bravais-indices ........................... 89
E. Processing outline for GMR sensor structuring .................. 89
Bibliography ............................................................................................................. 91
Publications ............ 102
1 Introduction
1.1 Motivation
Considering a quick growth of the world´s population and a decline of fossil resources, environmentally
compliant and energy-saving technologies will become more and more important. This is not only
demanding for the development of a “green” energyi nfrastructure but also for sensory intelligence
responsible for the surveillance and control of every device (automotive industry, traffic,
telecommunication and domestic appliances). Though it has been possible to increase the degree of
miniaturization with the aid of micromachining, sensor technology has not been able to draw level with
the rapid advancements of microelectronics in recent years. There is a great demand for the
implementation of novel, functional materials (e.g. organic and nanostructures) and techniques to be
integrated in state of the art device fabrication. In order to increase sensor performance it is worthwhile to
have a look at natural methods. Biomimetics is a field that treats the emulation of natural or biological
principles - that can be processes, materials and structures - for technological reasons. The term composed
of “bios” meaning life and “mimesis” meaning imitation was first utilized . iWhn i196le w9ith “bionics” a
combination of biological and mechanical issues is meant, biomimetics focuses on the direct mimicry or at
least bio-inspired systems. Though gaining ever-increasing relevance in science and technology, major
attention was dedicated to biomimetics in the last two decades because general advancements, e.g. in the
information technology and in particular in the nanotechnology motivated and enabled significant
progress in the field. In the following, some capabilities of natural “engineering” are discussed.
In billions of years of evolution the pressure of natural selection has forced life forms to reach a
high level of optimization. Nature accomplishes this by “trial and error experiments” without a plan or
logical demand but that lead to efficient performances unattainable by human engineering. The necessary
information is stored in the species genes and passed from one generation to the other by replication.
Cellular structures for instance feature fault tolerance and the ability of self-repair. Spider silk is a
sophisticated protein-based material with a tensile strength of 1154 MPa that is - though produced at
“room temperature” - superior to steel (400 MPa). Beside functional materials [1] biomimetic principles
are also applied in ecology and information technology. Genetic algorithms are nowadays successfully
applied for complex simulations, e.g. antenna design by the NASA. Furthermore there are attempts for the
mimicry of behavioral aspects in ant colonies [2] for crowd dynamics much less the field of artificial
intelligence [3]. Birds inspired aircraft engin