Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, UC Berkeley, Univ. of Illinois, UTEP CNTbands First-Time User Guide.

Slides:



Advertisements
Similar presentations
Chapter 2-3. States and carrier distributions
Advertisements

Atomistic Simulation of Carbon Nanotube FETs Using Non-Equilibrium Green’s Function Formalism Jing Guo 1, Supriyo Datta 2, M P Anantram 3, and Mark Lundstrom.
Mechanisms of Terahertz Radiation Generation in Graphene Structures Institute for Nuclear Problems, Belarus State University, Belarus The XII-th International.
1 Mark Lundstrom, Director Network for Computational Nanotechnology Discovery Park, Purdue University West Lafayette, IN Cyberinfrastructure for Discovery,
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First-Time User Guide BJT Lab V2.0.
ECE : Nanoelectronics Prof. Virginia Ayres Electrical & Computer Engineering Michigan State University
Budapest University of Technology and Economics Department of Electron Devices Microelectronics, BSc course Basic semiconductor physics.
How do atoms ARRANGE themselves to form solids? Unit cells
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP Tutorial 6 – Device Simulation:
© 2013 Eric Pop, UIUCECE 340: Semiconductor Electronics ECE 340 Lecture 3 Crystals and Lattices Online reference:
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First-time User Guide for Piecewise.
 2D-to-3D Deformation Gradient:  In-plane stretch: 2D Green-Lagrange Strain Tensor:  Bending: 2D Curvature Tensor:  2 nd Piola-Kirchoff Stress and.
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP Periodic.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First Time User Guide to PN Junction.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP Quantum Transport in Ultra-scaled.
CNT – Characteristics and Applications
1 Motivation (Why is this course required?) Computers –Human based –Tube based –Solid state based Why do we need computers? –Modeling Analytical- great.
1 A Multi-scale Electro-Thermo-Mechanical Analysis of Single Walled Carbon Nanotubes PhD defense Tarek Ragab Electronic Packaging Laboratory CSEE department,
Ballistic and quantum transports in carbon nanotubes.
Project topics due today. Next HW due in one week
Gaxela N, Manaetja K.P, Mulaudzi S, Senosi R Supervisor: Dr V.L.Katkof.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First Time User Guide to OMEN Nanowire**
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP DFT Calculations.
Topology is familiar mostly from mathematics, but also natural sciences have found its concepts useful. Those concepts have been used to explain several.
Nanotubes In The Name Of Allah excitons in single – walled carbon nanotubes nasim moradi graduate student of atomic and molEcular physics.
Department of EECS University of California, Berkeley EECS 105 Fall 2003, Lecture 6 Lecture 6: Integrated Circuit Resistors Prof. Niknejad.
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP Polymer.
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP NEMO5.
Supported by NSF DMR Yale University Creating new devices using oxide materials Boron is surprising versatile in the bonding networks it forms.
Atomic Structural Response to External Strain for AGNRs Wenfu Liao & Guanghui Zhou KITPC Program—Molecular Junctions Supported by NSFC under Grant No.
December 2, 2011Ph.D. Thesis Presentation First principles simulations of nanoelectronic devices Jesse Maassen (Supervisor : Prof. Hong Guo) Department.
ECE 4339 L. Trombetta ECE 4339: Physical Principles of Solid State Devices Len Trombetta Summer 2007 Chapter 2: Carrier Modeling Goal: To understand what.
Author: Egon Pavlica Nova Gorica Polytechic Comparision of Metal-Organic Semiconductor interfaces to Metal- Semiconductor interfaces May 2003.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First-Time User Guide Drift-Diffusion.
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP Multi.
Background about Carbon Nanotubes CAR Seminar 5 November 2010 Meg Noah.
VIRTUAL NANOLAB BY QUANTUMWISE
Graphene Boris Torres MEEN 3344 Material Science.
Presented By: RENJITHKUMAR TKMCE KOLLAM. INTRODUCTION Electronics with out silicon is unbelievable, but it will come true with evolution of diamond or.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First-Time User Guide to MOSFET.
Abhijeet Paul Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP Crystal Viewer Tool.
Network for Computational Nanotechnology (NCN) SungGeun Kim Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois,
Quantum Confinement in Nanostructures Confined in: 1 Direction: Quantum well (thin film) Two-dimensional electrons 2 Directions: Quantum wire One-dimensional.
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, UC Berkeley, Univ. of Illinois, UTEP ADEPT 2.0 First-Time User Guide.
Network for Computational Nanotechnology (NCN) MEEPPV User Guide Xin Tze Tee Electrical and Computer Engineering Purdue University West Lafayette, IN
APS -- March Meeting 2011 Graphene nanoelectronics from ab initio theory Jesse Maassen, Wei Ji and Hong Guo Department of Physics, McGill University, Montreal,
S. E. Thompson EEL What is a Carbon Nanotube? Start with Carbon Graphite C 60 Single Wall Carbon Nanotubes Multi Wall Carbon Nanotubes.
ECE : Nanoelectronics Prof. Virginia Ayres Electrical & Computer Engineering Michigan State University
ECE : Nanoelectronics Prof. Virginia Ayres Electrical & Computer Engineering Michigan State University
Band Structure Of Graphene Sheets and Carbon Nanotubes
Topic #1: Bonding – What Holds Atoms Together?
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First Time User Guide to MOSCAP*
Electron & Hole Statistics in Semiconductors A “Short Course”. BW, Ch
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First time user guide for RTD-NEGF.
Team work Majed AbdELSalam Nashaat,
Network for Computational Nanotechnology (NCN) Gerhard Klimeck Berkeley, Univ. of Florida, Univ.of Illinois, Norfolk State, Northwestern, Purdue, Stanford,
ECE : Nanoelectronics Prof. Virginia Ayres Electrical & Computer Engineering Michigan State University
Carbon Nanotubes.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP OMEN Nanoiwre* Supporting Document.
Carbon Nanotubes and Its Devices and Applications
Flat Band Nanostructures Vito Scarola
G RAPHENE N ANORIBBON T UNNEL TRANSISTORS GUIDED BY:Ms.ANITTA MATHEW Asst.Professor ECE Dept. BLESSY JOSEPH S7 ECA Roll No:28.
Electrical Engineering Materials
A Seminar presentation on
Band Structure Lab with NEMO5 Yi Shen, Nicolás Esquivel Camacho, Michael Povolotskyi ,and Gerhard Klimeck Approach: The communication between Rappture.
OMEN: a Quantum Transport Modeling Tool for Nanoelectronic Devices
ECEE 302: Electronic Devices
First principles calculation on field emission of boron/nitrogen doped carbon nanotube I’m going to talk about the first principles calculation on field.
Carbon Nanotube Diode Design
Carbon Nanotubes Name: ____________________________________________
Presentation transcript:

Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, UC Berkeley, Univ. of Illinois, UTEP CNTbands First-Time User Guide Xufeng Wang Electrical and Computer Engineering Purdue University West Lafayette, IN Youngki Yoon Electrical Engineering and Computer Science University of California Berkeley, CA 94720

Xufeng Wang, Youngki Yoon Table of Contents Introduction 3 »The Origin: Graphene »Carbon Nanotubes (CNT) »Graphene Nanoribbons (GNR) What Can Be Simulated by CNTbands? »Input (for GNR and CNT) 7 »Output 10 Results Generated by CNTbands What if You Just Hit “Simulate”? 13 Examples of Simulation Runs 14 Limitations of CNTbands 18 References 19 2

Xufeng Wang, Youngki Yoon Introduction to CNTbands CNTbands v2.2 can simulate electronic band structure and density-of-states for carbon nanotubes (CNTs) and graphene nanoribbons (GNRs). It also computes some basic parameters, such as nanotube diameter, number of hexagons in the unit cell, band gap, etc. 3 Avaliable on nanoHUB at

Xufeng Wang, Youngki Yoon The Origin: Graphene Graphene is a one-atom-thick planar sheet of carbon atoms that is densely packed in a honeycomb crystal lattice. 4 Direct image of a single-layer graphene membrane (Red dots denote carbon atoms) 1 Computer generated graphene visual showing the honeycomb lattice structure 2 Ref. 1: J.C.Meyer and all, “Direct imaging of lattice atoms and topological defects in graphene membranes”, Nano Lett., 2008, 8 (11), Ref. 2: Youngki Yoon; James K Fodor; Jing Guo; Akira Matsudaira; Diego Kienle; Gengchiau Liang; Gerhard Klimeck; Mark Lundstrom (2006), "CNTbands,”

Xufeng Wang, Youngki Yoon Carbon Nanotubes (CNT) Carbon nanotubes (CNT) are basically graphene sheets rolled up in a certain direction. “Chiral vector” or “chirality” describes how a graphene sheet is rolled up to form CNT. CNT might be metallic or semiconducting, depending on its chirality. 5 Rolling of a Carbon nanotube (CNT) from a graphene sheet

Xufeng Wang, Youngki Yoon Graphene Nanoribbons (GNR) Graphene Nanoribbons are thin strips of graphene. The electronic property of GNR largely depends on its edge structure. Since GNRs are “strips,” its length is defined via chirality as well. Its width, or the “thinness” of strip, is usually defined using how wide it is in nanometers or angstroms. GNRs’ chirality is defined slightly different from that of CNT. We will explain this later in detail. 6 Cutting of a graphene nanoribbon (GNR) from a sheet of graphene

Xufeng Wang, Youngki Yoon What Can Be Simulated?: CNTbands Parameters Two possible input interfaces 7 For GNRFor CNT Structure specific Common for both CNT and GNR

Xufeng Wang, Youngki Yoon CNTbands Parameters 8 Carbon Nanotube (CNT) Carbon Nanoribbon (GNR) Structure Distance between two nearest neighboring carbon atoms (Red segment) Usual value is 1.42 angstrom Carbon-Carbon spacing Tight-binding energy Tight-binding energy, or hopping energy to be used Put simply, it describes the coupling between a carbon atom (red) and its nearest neighbors (blue)

Xufeng Wang, Youngki Yoon Chirality for CNT 9 a2 a1 AB CNT is formed by rolling a graphene sheet in a certain direction. This direction is specified by chirality. Two vectors a1 & a2 can describe this rolling direction completely. From the starting unit cell to the other unit cell, the vectors will connect to each other after rolling. A path can be drawn (shown in red) using vectors a1 and a2 only. The amount of a1 and a2 vectors used in the path are m and n accordingly. The chirality is then denoted as (m,n).

Xufeng Wang, Youngki Yoon Output: Molecular Structure and Unit Cell 10 A CNT Molecular Structure A CNT Unit Cell CNTbands display a full 3-D molecular structure of simulated material based on the parameters you specify. A full 3-D unit cell is also displayed. Each green sphere denotes a carbon atom, and the white stick denotes bonding between two carbon atoms. A GNR Molecular Structure A GNR Unit Cell

Xufeng Wang, Youngki Yoon Output: E-K diagram and lowest subbands 11 E-k diagram Zoomed in E-k diagram Lowest subbands The E-k diagram describes the energy-wave momentum relationship for carriers within the first Brouillon zone. Each continued line is an allowed level of energy for carriers, or a subband. The E-k diagram thus describes the “bandstructure” of the studied material. Subbands closest to the equilibrium Fermi level (denoted E = 0 here) are of particular interest, since they are usually the levels giving rise to current. In CNTbands, these subbands are extracted and outputted as “Lowest subbands”.

Xufeng Wang, Youngki Yoon Output: Density of States vs. Energy 12 Density of States vs. Energy Density of states vs. energy tells us how many allowed states there are at a certain energy. Each state can accommodate up to 2 electrons having different spins. This is the Pauli Exclusion Principle. Notice that this output tells us the availability of states but nothing about the occupancy of these states.

Xufeng Wang, Youngki Yoon What if You Just Hit “Simulate”? By default, a carbon nanotube with chirality (7,7) will be simulated via Pz orbital method. 13 (7,7) CNT Molecular Structure is presented in 3D formats The bandstructure reveals the metalic nature of such CNT samples

Xufeng Wang, Youngki Yoon Example #1: Semiconducting and Metallic CNTs CNTs can be metallic or semiconducting depending on its chirality (m,n). If the CNT’s chirality difference (m-n) is a multiple of 3 (includes zero), the CNT is metallic; otherwise, it is semiconducting. 14 (7,7) CNT (4,2) CNT metallic semiconducting

Xufeng Wang, Youngki Yoon Example #1 (larger view) (7,7) CNT metallic

Xufeng Wang, Youngki Yoon Example #1 (larger view) (4,2) CNT semiconducting

Xufeng Wang, Youngki Yoon Example #2: Evaluating transport property Although CNTbands is unable to simulate transport phenomena, this simulation tool can still give us great insight regarding the transport property of a certain sample. Simulation example for a (4,0) GNR sample: 17 At near equilibrium, the carriers that give rise to current are located around Fermi level (red line). In this result, the lack of states near Fermi level indicates it will not conduct well at zero bias, but if Fermi level is biased to around 1eV, it will conduct.

Xufeng Wang, Youngki Yoon Limitations of CNTbands Every great tool has its limitations. Users are advised to be aware of the capability of CNTbands or, in general, what CNTbands cannot do. Please consider the following: »CNTbands is a bandstructure calculation tool for CNT and GNR. It does not treat transport phenomena. For users interested in the latter, OMEN has such capabilities. »The structure is ideal and intrinsic; there is no defect, doping, passivation, nor bending, etc. »The CNT structure is single walled; the GNR is single-layered. 18

Xufeng Wang, Youngki Yoon References Related papers and resources are listed on CNTbands tool page:Related papers and resources are listed on CNTbands tool page: Youngki Yoon; James K Fodor; Jing Guo; Akira Matsudaira; Diego Kienle; Gengchiau Liang; Gerhard Klimeck; Mark Lundstrom (2006), "CNTbands," DOI: 10254/nanohub-r For more exercises involving CNTbands, please see:For more exercises involving CNTbands, please see: James K Fodor; Jing Guo (2007), "Introduction to CNTbands," For detailed learning on CNT and GNR, these are highly recommended:For detailed learning on CNT and GNR, these are highly recommended: Supriyo Datta (2006), "Quantum Transport: Atom to Transistor," James K Fodor; Seokmin Hong; Jing Guo (2007), "Bandstructure of Carbon Nanotubes and Nanoribbons," 19