This thesis theoretically investigates the electronic transport properties of defective carbon nanotubes (CNTs). For the defects the focus is set to vacancy types. The calculations are performed using quantum transport theory and an underlying density-functional-based tight-binding method. Two algorithmic improvements are derived, which accelerate the common methods for quasi one-dimensional systems for the specific case of (i) randomly distributed defects and (ii) long unit cells. With this, the transmission spectrum and the conductance is calculated as a function of the CNT length, diameter, chiral angle, defect type, defect density, defect fraction, and temperature. The diffusive and the localized transport regime are described by extracting elastic mean free paths and localization lengths for metallic and semiconducting CNTs. Simple analytic models for estimating or even predicting the conductance dependence on the mentioned parameters are derived. Finally, the formation of defect-induced long-range deformations and its influence on the conductance are studied.:1 Introduction
2 Fundamentals
2.1 Carbon nanotubes
2.1.1 Structure
2.1.2 Properties
2.1.3 Defects
2.1.4 Synthesis
2.1.5 Characterization
2.1.6 Applications
2.2 Electron structure theory
2.2.1 Introduction
2.2.2 Density functional theory
2.2.3 Density-functional-based tight binding
2.2.3.1 First-order expansion
2.2.3.2 Creation of the parameter set
2.2.3.3 Second-order expansion
2.2.3.4 Usage
2.3 Electron transport
2.3.1 Equilibrium Green’s-function-based quantum transport theory
2.3.2 Transport regimes
2.3.3 Classical derivation: drift-diffusion equation with a sink
2.3.4 Quantum derivation: Dorokhov-Mello-Pereyra-Kumar theory
A Improved recursive Green’s function formalism for quasi one-dimensional systems with realistic defects (J. Comput. Phys. 334 (2017), 607–619)
A.1 Introduction
A.2 Quantum transport theory
A.3 Recursive Green’s function formalisms
A.3.1 Forward iteration scheme
A.3.2 Recursive decimation scheme
A.3.3 Renormalization decimation algorithm
A.4 Improved RGF+RDA
A.5 Performance test
A.5.1 Random test matrix
A.5.2 Transport through carbon nanotubes
A.6 Summary and conclusions
B Strong localization in defective carbon nanotubes: a recursive Green’s function study (New J. Phys. 16 (2014), 123026)
B.1 Introduction
B.2 Theoretical framework
B.2.1 Transport formalism
B.2.2 Recursive Green’s function formalism
B.2.3 Electronic structure
B.2.4 Strong localization
B.3 Modeling details of the defective system
B.4 Results and discussion
B.4.1 Single defects
B.4.2 Randomly distributed defects
B.4.3 Localization exponent
B.4.4 Diameter dependence and temperature dependence of the localization exponent
B.5 Summary and conclusions
Supplementary material
C Electronic transport in metallic carbon nanotubes with mixed defects within the strong localization regime (Comput. Mater. Sci. 138 (2017), 49–57)
C.1 Introduction
C.2 Theoretical framework
C.3 Modeling details
C.4 Results and discussion
C.4.1 Conductance
C.4.2 Localization exponent
C.4.3 Influence of temperature
C.4.4 Conductance estimation
C.5 Summary and conclusions
D An improved Green’s function algorithm applied to quantum transport in carbon nanotubes (arXiv: 1806.02039)
D.1 Introduction
D.2 Electronic transport
D.3 Decimation technique and renormalization-decimation algorithm
D.4 Renormalization-decimation algorithm for electrodes with long unit cells
D.4.1 Surface Green’s functions
D.4.2 Bulk Green’s functions and electrode density of states
D.5 Complexity measure and performance test
D.6 Exemplary results
D.7 Summary and conclusions
E Electronic transport through defective semiconducting carbon nanotubes (J. Phys. Commun. 2 (2018), 105012)
E.1 Introduction
E.2 Theoretical framework
E.3 Modeling details
E.4 Results and discussion
E.4.1 Transmission and transport regimes
E.4.2 Energy dependent localization exponent and elastic mean free path
E.4.3 Conductance, effective localization exponent and effective elastic mean free path
E.5 Summary and conclusions
Supplementary material
F Influence of defect-induced deformations on electron transport in carbon nanotubes (J. Phys. Commun. 2 (2018), 115023)
F.1 Introduction
F.2 Theory
F.3 Results
F.4 Summary and conclusions
3 Ongoing work
4 Summary and outlook
4.1 Summary
4.2 Outlook
5 Appendix
5.1 Bandstructure of graphene
5.2 Quantum transport theory and Landauer-Büttiker formula
References
List of figures
List of tables
Acknowledgement
Selbstständigkeitserklärung
Curriculum vitae
List of publications / Diese Dissertation untersucht mittels theoretischer Methoden die elektronischen Transporteigenschaften von defektbehafteten Kohlenstoffnanoröhren (englisch: carbon nanotubes, CNTs). Dabei werden Vakanzen als Defekte fokussiert behandelt. Die Berechnungen werden mittels Quantentransporttheorie und einer zugrunde liegenden dichtefunktionalbasierten Tight-Binding-Methode durchgeführt. Zwei algorithmische Verbesserungen werden hergeleitet, welche die üblichen Methoden für quasi-eindimensionale Systeme für zwei spezifische Fälle beschleunigen: (i) zufällig verteilte Defekte und (ii) lange Einheitszellen. Damit werden das Transmissionsspektrum und der Leitwert als Funktion von CNT-Länge, Durchmesser, chiralem Winkel, Defekttyp, Defektdichte, Defektanteil und Temperatur berechnet. Das Diffusions- und das Lokalisierungstransportregime werden beschrieben, indem die elastische freie Weglänge und die Lokalisierungslänge für metallische und halbleitende CNTs extrahiert werden. Einfache analytische Modelle zur Abschätzung bis hin zur Vorhersage des Leitwertes in Abhängigkeit besagter Parameter werden abgeleitet. Schlussendlich werden die Bildung einer defektinduzierten, langreichweitigen Deformation und deren Einfluss auf den Leitwert studiert.:1 Introduction
2 Fundamentals
2.1 Carbon nanotubes
2.1.1 Structure
2.1.2 Properties
2.1.3 Defects
2.1.4 Synthesis
2.1.5 Characterization
2.1.6 Applications
2.2 Electron structure theory
2.2.1 Introduction
2.2.2 Density functional theory
2.2.3 Density-functional-based tight binding
2.2.3.1 First-order expansion
2.2.3.2 Creation of the parameter set
2.2.3.3 Second-order expansion
2.2.3.4 Usage
2.3 Electron transport
2.3.1 Equilibrium Green’s-function-based quantum transport theory
2.3.2 Transport regimes
2.3.3 Classical derivation: drift-diffusion equation with a sink
2.3.4 Quantum derivation: Dorokhov-Mello-Pereyra-Kumar theory
A Improved recursive Green’s function formalism for quasi one-dimensional systems with realistic defects (J. Comput. Phys. 334 (2017), 607–619)
A.1 Introduction
A.2 Quantum transport theory
A.3 Recursive Green’s function formalisms
A.3.1 Forward iteration scheme
A.3.2 Recursive decimation scheme
A.3.3 Renormalization decimation algorithm
A.4 Improved RGF+RDA
A.5 Performance test
A.5.1 Random test matrix
A.5.2 Transport through carbon nanotubes
A.6 Summary and conclusions
B Strong localization in defective carbon nanotubes: a recursive Green’s function study (New J. Phys. 16 (2014), 123026)
B.1 Introduction
B.2 Theoretical framework
B.2.1 Transport formalism
B.2.2 Recursive Green’s function formalism
B.2.3 Electronic structure
B.2.4 Strong localization
B.3 Modeling details of the defective system
B.4 Results and discussion
B.4.1 Single defects
B.4.2 Randomly distributed defects
B.4.3 Localization exponent
B.4.4 Diameter dependence and temperature dependence of the localization exponent
B.5 Summary and conclusions
Supplementary material
C Electronic transport in metallic carbon nanotubes with mixed defects within the strong localization regime (Comput. Mater. Sci. 138 (2017), 49–57)
C.1 Introduction
C.2 Theoretical framework
C.3 Modeling details
C.4 Results and discussion
C.4.1 Conductance
C.4.2 Localization exponent
C.4.3 Influence of temperature
C.4.4 Conductance estimation
C.5 Summary and conclusions
D An improved Green’s function algorithm applied to quantum transport in carbon nanotubes (arXiv: 1806.02039)
D.1 Introduction
D.2 Electronic transport
D.3 Decimation technique and renormalization-decimation algorithm
D.4 Renormalization-decimation algorithm for electrodes with long unit cells
D.4.1 Surface Green’s functions
D.4.2 Bulk Green’s functions and electrode density of states
D.5 Complexity measure and performance test
D.6 Exemplary results
D.7 Summary and conclusions
E Electronic transport through defective semiconducting carbon nanotubes (J. Phys. Commun. 2 (2018), 105012)
E.1 Introduction
E.2 Theoretical framework
E.3 Modeling details
E.4 Results and discussion
E.4.1 Transmission and transport regimes
E.4.2 Energy dependent localization exponent and elastic mean free path
E.4.3 Conductance, effective localization exponent and effective elastic mean free path
E.5 Summary and conclusions
Supplementary material
F Influence of defect-induced deformations on electron transport in carbon nanotubes (J. Phys. Commun. 2 (2018), 115023)
F.1 Introduction
F.2 Theory
F.3 Results
F.4 Summary and conclusions
3 Ongoing work
4 Summary and outlook
4.1 Summary
4.2 Outlook
5 Appendix
5.1 Bandstructure of graphene
5.2 Quantum transport theory and Landauer-Büttiker formula
References
List of figures
List of tables
Acknowledgement
Selbstständigkeitserklärung
Curriculum vitae
List of publications
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:34326 |
| Date | 17 July 2019 |
| Creators | Teichert, Fabian |
| Contributors | Schreiber, Michael, Schuster, Jörg, Schreiber, Michael, Frauenheim, Thomas, Technische Universität Chemnitz |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 10.1016/j.jcp.2017.01.024, 10.1088/1367-2630/16/12/123026, 10.1016/j.commatsci.2017.06.001, 10.1088/2399-6528/aae4cb, 10.1088/2399-6528/aaf08c |
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