Atomic basis sets for first-principle studies of Si nanowires. Electronics Theory group Tyndall National Institute, University College Cork

Similar documents
Transport properties and electrical device. characteristics with the TiMeS computational. platform: application in silicon nanowires

CITY UNIVERSITY OF HONG KONG. Theoretical Study of Electronic and Electrical Properties of Silicon Nanowires

Electronic and structural properties of rhombohedral [111] and [110] oriented ultra-thin bismuth nanowires

Electronic structure and transport in silicon nanostructures with non-ideal bonding environments

Basis sets for SIESTA. Emilio Artacho. Nanogune, Ikerbasque & DIPC, San Sebastian, Spain Cavendish Laboratory, University of Cambridge

An Extended Hückel Theory based Atomistic Model for Graphene Nanoelectronics

EE495/695 Introduction to Semiconductors I. Y. Baghzouz ECE Department UNLV

(a) (b) Supplementary Figure 1. (a) (b) (a) Supplementary Figure 2. (a) (b) (c) (d) (e)

3.1 Introduction to Semiconductors. Y. Baghzouz ECE Department UNLV

3-month progress Report

arxiv: v1 [cond-mat.mtrl-sci] 6 Jun 2007

Outline. Introduction: graphene. Adsorption on graphene: - Chemisorption - Physisorption. Summary

smal band gap Saturday, April 9, 2011

Lecture 1. OUTLINE Basic Semiconductor Physics. Reading: Chapter 2.1. Semiconductors Intrinsic (undoped) silicon Doping Carrier concentrations

Solid State Device Fundamentals

Diamond. Covalent Insulators and Semiconductors. Silicon, Germanium, Gray Tin. Chem 462 September 24, 2004

Supplementary Figures

CMOS Scaling. Two motivations to scale down. Faster transistors, both digital and analog. To pack more functionality per area. Lower the cost!

Fundamentals of Nanoelectronics: Basic Concepts

So why is sodium a metal? Tungsten Half-filled 5d band & half-filled 6s band. Insulators. Interaction of metals with light?

Organic Electronic Devices

A. OTHER JUNCTIONS B. SEMICONDUCTOR HETEROJUNCTIONS -- MOLECULES AT INTERFACES: ORGANIC PHOTOVOLTAIC BULK HETEROJUNCTION DYE-SENSITIZED SOLAR CELL

Carbon based Nanoscale Electronics

OMEN an atomistic and full-band quantum transport simulator for post-cmos nanodevices

PHOTOVOLTAICS Fundamentals

Electrons are shared in covalent bonds between atoms of Si. A bound electron has the lowest energy state.

th International Workshop on Computational Physics and Materials Science: Total Energy and Force Methods January 2011

2D MBE Activities in Sheffield. I. Farrer, J. Heffernan Electronic and Electrical Engineering The University of Sheffield

Supplementary Information for "Atomistic. Simulations of Highly Conductive Molecular. Transport Junctions Under Realistic Conditions"

Defects in TiO 2 Crystals

3.1 Absorption and Transparency

Electrical conductivity of metal carbon nanotube structures: Effect of length and doping

Electronics with 2D Crystals: Scaling extender, or harbinger of new functions?

Basic cell design. Si cell

ESE370: Circuit-Level Modeling, Design, and Optimization for Digital Systems

A. OTHER JUNCTIONS B. SEMICONDUCTOR HETEROJUNCTIONS -- MOLECULES AT INTERFACES: ORGANIC PHOTOVOLTAIC BULK HETEROJUNCTION DYE-SENSITIZED SOLAR CELL

Atomic orbitals of finite range as basis sets. Javier Junquera

Modelling of Diamond Devices with TCAD Tools

Semiconducting nano-composites for solar energy conversion: insights from ab initio calculations. S. Wippermann, G. Galli

A. OTHER JUNCTIONS B. SEMICONDUCTOR HETEROJUNCTIONS -- MOLECULES AT INTERFACES: ORGANIC PHOTOVOLTAIC BULK HETEROJUNCTION DYE-SENSITIZED SOLAR CELL

Aqeel Mohsin Ali. Molecular Physics Group, Department of Physics, College of Science, University of Basrah, Basrah, Iraq

A Theoretical Investigation of Surface Roughness Scattering in Silicon Nanowire Transistors

Supporting Information

Quantum Monte Carlo Benchmarks Density Functionals: Si Defects

Chemistry Instrumental Analysis Lecture 8. Chem 4631

Basic Semiconductor Physics

Toward a 1D Device Model Part 2: Material Fundamentals

Electroluminescence from Silicon and Germanium Nanostructures

Lecture 7: Extrinsic semiconductors - Fermi level

Towards Atomistic Simulations of the Electro-Thermal Properties of Nanowire Transistors Mathieu Luisier and Reto Rhyner

First-Hand Investigation: Modeling of Semiconductors

CLASS 1 & 2 REVISION ON SEMICONDUCTOR PHYSICS. Reference: Electronic Devices by Floyd

Analysis of InAs Vertical and Lateral Band-to-Band Tunneling. Transistors: Leveraging Vertical Tunneling for Improved Performance

Modified Becke-Johnson (mbj) exchange potential

Branislav K. Nikolić

Downloaded on T08:49:20Z. Title. Role of sulfur in vibration spectra and bonding and electronic structure of GeSi surfaces and interfaces

Semiconductor Physics. Lecture 3

First- principles studies of spin-crossover molecules

Simulation of Quantum Dot p-i-n Junction Solar Cell using Modified Drift Diffusion Model

From Last Time Important new Quantum Mechanical Concepts. Atoms and Molecules. Today. Symmetry. Simple molecules.

Drift-diffusion model for single layer transition metal dichalcogenide field-effect transistors

Monte Carlo Based Calculation of Electron Transport Properties in Bulk InAs, AlAs and InAlAs

ET3034TUx Utilization of band gap energy

Nanotechnology and Solar Energy. Solar Electricity Photovoltaics. Fuel from the Sun Photosynthesis Biofuels Split Water Fuel Cells

Simulating mechanism at the atomic-scale for atomically precise deposition and etching

Lecture 18: Semiconductors - continued (Kittel Ch. 8)

SnO 2 Physical and Chemical Properties due to the Impurity Doping

Structure, energetics, and vibrational properties of Si-H bond dissociation in silicon

! Previously: simple models (0 and 1 st order) " Comfortable with basic functions and circuits. ! This week and next (4 lectures)

CLASS 12th. Semiconductors

DEFECTS IN 2D MATERIALS: HOW WE TAUGHT ELECTRONIC SCREENING TO MACHINES

Characterization of reliability-limiting defects in 4H-SiC MOSFETs using density functional (atomistic) simulations

Lecture 2. Semiconductor Physics. Sunday 4/10/2015 Semiconductor Physics 1-1

Effects of edge chemistry doping on graphene nanoribbon mobility

Lecture 20: Semiconductor Structures Kittel Ch 17, p , extra material in the class notes

EE143 Fall 2016 Microfabrication Technologies. Evolution of Devices

Mat E 272 Lecture 25: Electrical properties of materials

Electronic Structure Theory for Periodic Systems: The Concepts. Christian Ratsch

ESE370: Circuit-Level Modeling, Design, and Optimization for Digital Systems

Infrared Charge-Modulation Spectroscopy of Defects in Phosphorus Doped Amorphous Silicon

Supplementary Figure 1 Two-dimensional map of the spin-orbit coupling correction to the scalar-relativistic DFT/LDA band gap. The calculations were

Semiconductor Devices and Circuits Fall Midterm Exam. Instructor: Dr. Dietmar Knipp, Professor of Electrical Engineering. Name: Mat. -Nr.

PN Junction

Atomic orbitals of finite range as basis sets. Javier Junquera

Pseudopotentials: design, testing, typical errors

Band Structure Calculations; Electronic and Optical Properties

Canadian Journal of Chemistry. Spin-dependent electron transport through a Mnphthalocyanine. Draft

Electro-Thermal Transport in Silicon and Carbon Nanotube Devices E. Pop, D. Mann, J. Rowlette, K. Goodson and H. Dai

Linking electronic and molecular structure: Insight into aqueous chloride solvation. Supplementary Information

The Periodic Table III IV V

SCIENCE & TECHNOLOGY

Anisotropic Lithium Insertion Behavior in Silicon Nanowires: Binding Energy, Diffusion Barrier, and Strain Effect

Session 5: Solid State Physics. Charge Mobility Drift Diffusion Recombination-Generation

SEMICONDUCTOR PHYSICS REVIEW BONDS,

SILICON AVALANCHE PHOTODIODES ARRAY FOR PARTICLE DETECTOR: MODELLING AND FABRICATION

I. INTRODUCTION II. APPROACH

Simulation of Schottky Barrier MOSFET s with a Coupled Quantum Injection/Monte Carlo Technique

Electronic properties of aluminium and silicon doped (2, 2) graphyne nanotube

Electrostatics of Nanowire Transistors

Charge Excitation. Lecture 4 9/20/2011 MIT Fundamentals of Photovoltaics 2.626/2.627 Fall 2011 Prof. Tonio Buonassisi

Transcription:

Atomic basis sets for first-principle studies of Si nanowires Dimpy Sharma, Hadi Hassanian Arefi, Lida Ansari, Giorgos Fagas Electronics Theory group Tyndall National Institute, University College Cork

Outline Motivation - Experimental - Links to atomic-scale simulations Background - DFT Methodology - Previous studies Workplan - Electronic structure - Transport properties Concluding remarks

Motivation Silicon Nanowires (SiNW): promising nanomaterials for a wide range of applications Nanowire-FET(MOSFET, FinFET) Electrostatic control Nano Lett., 2011, 11 (12), p. 5465 Sensors Selectivity and sensitivity Photovoltaic Improved absorption of light IEEE Trans. Nanotech. 2011, 10 (6), p.

Why atomic-scale simulations? Experimental results on Si nanowire devices are becoming increasingly available BUT challenging, time consuming and expensive Atomic-scale modelling and simulations can provide design guidelines and be used for optimisation Current methods offer the possibility of developing such a methodology with acceptable accuracy and reasonable computational cost

Background: DFT Methodology Aim: Electronic and electrical properties of small-diameter oxidised SiNWs use a first-principles method (Density Functional Theory) Common DFT implementations use plane wave or atomic basis sets Plane waves (PW): - extremely accurate but computationally expensive - very cumbersome (and prohibitively expensive) to apply in transport studies! Numerical atomic orbitals (NAOs): very efficient but less accurate their performance needs to be tested their transferability between different systems has to be checked

Previous studies: benchmarking atomic orbitals for transport M. Strange et al. [J. Chem. Phys. 128, 114714 (2008)] studied f ive representative single-molecule junctions convergence of NAO-basis set with Wannier (from PW) basis calculations J. A. Driscoll and K. Varga [Phys. Rev. B 81, 115412 (2010)] studied two similar junctions transmission most sensitive to self-consistent potential (i.e., electron density)

Investigated structures Ideal periodic NWs Hydogenated SiNWs (SiNW:H) W=1.15nm Hydroxylated SiNWs (SiNW:OH) Ga-doped SiNWs

Total energy calculations Use of a minimal basis set for Si (SZ, DZ, TZ) yields a stretched Si-H bond with length 1.68Å, much longer than the typical Si-H bond length Optimised orbitals proved to be computationally efficient compared to higher contractions

Band gap benchmarking If d-orbitals are not included the band gap is indirect which disagrees with our plane wave results and zone-folding arguments (recall, stretched Si-H bond) The s,p,d set on Si yields reasonable band structure both for valence and conduction bands

Benchmarking of numerical atomic orbitals Conduction Plane waves: red solid lines Valence NAOs: purple dotted lines (double-zeta polarized) black dashed lines (optimized double-zeta polarized)

Transferability of NAOs [100] [111] orientation Conduction Valence Bands of [100]-oriented SiNW:H calculated using optimised orbitals from [100]-oriented SiNW: H (black solid lines) and using optimised orbitals from [110]-oriented SiNW:H (red dashed lines). applied also in SiNW:OH Optimised NAOs are transferable

Similar observations for SiNW:OH and Ga doped SiNW SiNW:OH Valence

Similar observations for SiNW:OH and Ga doped SiNW Ga doped SiNW Total energy

Sub-bands analysis: 1 st valence band effective mass group velocity

Sub-bands analysis: 1 st conduction band effective mass group velocity

Sub-bands analysis NAOs with respect to PW: - overestimate effective mass - underestimate group velocity Conductivity Mean free path

Transport studies Systems investigated SiNWs with impurities locally oxidised Highly-doped Ga Computational method Use optimised structures with OpenMX code and extract Hamiltonian in specified basis set Input Hamiltonian to TIMES simulator and calculate transmission of charge carriers

transmission Transport results on SiNW Scattering due to impurities

Mean Free Path Valence l imp =(G s /G c )*d Gc: ideal conductance Gs: conductance due to scattering from a single defect d: mean distance between impurities Confirms that mean free path estimates from various basis sets do not vary significantly

Concluding Remarks Optimised double zeta polarised basis set offers results with good compromise between accuracy and efficiency Inclusion of d-polarization functions is crucial for correct results Transferable optimised NAOs can be used in realistic device simulations Conductivity is more sensitive to the basis sets than mean-free-path

Acknowledgement Supervisor Dr. Giorgos Fagas Computational resources ICHEC (Irish Centre for High-End Computing Science Foundation Ireland.