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

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

Atomistic Simulation of Nanodevices

Ultra-Scaled InAs HEMTs

Atomistic simulation of transport phenomena in nanoelectronic devices

Classification of Solids

Simple Theory of the Ballistic Nanotransistor

Lecture 9. Strained-Si Technology I: Device Physics

EE130: Integrated Circuit Devices

Challenges in the introduction of Band to Band tunneling in semiclassical models for Tunnel-FETs. DIEGM - University of Udine, IU.

Current mechanisms Exam January 27, 2012

Surfaces, Interfaces, and Layered Devices

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

The Critical Role of Quantum Capacitance in Compact Modeling of Nano-Scaled and Nanoelectronic Devices

I. INTRODUCTION II. APPROACH

Multiscale modelling challenges for transport problems

Study of Carrier Transport in Strained and Unstrained SOI Tri-gate and Omega-gate Si Nanowire MOSFETs

CARBON NANOTUBE ELECTRONICS: MODELING, PHYSICS, AND APPLICATIONS. A Thesis. Submitted to the Faculty. Purdue University. Jing Guo

PN Junction

Lecture contents. A few concepts from Quantum Mechanics. Tight-binding model Solid state physics review

ECE 305: Fall MOSFET Energy Bands

Lecture 3: Density of States

Performance Analysis of 60-nm Gate-Length III-V InGaAs HEMTs: Simulations Versus Experiments

Dissipative Transport in Rough Edge Graphene Nanoribbon. Tunnel Transistors

Lecture 6: 2D FET Electrostatics

Evaluation of Electronic Characteristics of Double Gate Graphene Nanoribbon Field Effect Transistor for Wide Range of Temperatures

Performance Analysis of Ultra-Scaled InAs HEMTs

Engineering interband tunneling in nanowires with diamond cubic or zincblende crystalline structure based on atomistic modeling

Predicting Thermoelectric Properties From First Principles

Bandstructure Effects in Silicon Nanowire Electron Transport

GaN based transistors

Energy dispersion relations for holes inn silicon quantum wells and quantum wires

Calculating Band Structure

Effect of the High-k Dielectric/Semiconductor Interface on Electronic Properties in Ultra-thin Channels

ELEC 4700 Assignment #2

Lecture 35: Introduction to Quantum Transport in Devices

Avalanche breakdown. Impact ionization causes an avalanche of current. Occurs at low doping

Surfaces, Interfaces, and Layered Devices

Nanoscience, MCC026 2nd quarter, fall Quantum Transport, Lecture 1/2. Tomas Löfwander Applied Quantum Physics Lab

Lecture 8: Ballistic FET I-V

EE 3329 Electronic Devices Syllabus ( Extended Play )

Understanding the effect of n-type and p-type doping in the channel of graphene nanoribbon transistor

Carbon based Nanoscale Electronics

Quantum Corrections for Monte Carlo Simulation

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

Components Research, TMG Intel Corporation *QinetiQ. Contact:

3-month progress Report

Physics an performance of III-V nanowire heterojunction TFETs including phonon and impurity band tails:

Semiconductor Physics and Devices Chapter 3.

Lecture 3: Transistor as an thermonic switch

Semiconductor Physics fall 2012 problems

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

4.2 Molecular orbitals and atomic orbitals Consider a linear chain of four identical atoms representing a hypothetical molecule.

Graphene. Tianyu Ye November 30th, 2011

Microsystems Technology Laboratories, MIT. Teledyne Scientific Company (TSC)

Modeling Transport in Heusler-based Spin Devices

How a single defect can affect silicon nano-devices. Ted Thorbeck

A Numerical Study of Scaling Issues for Schottky Barrier Carbon Nanotube Transistors

InGaAs Double-Gate Fin-Sidewall MOSFET

THE continuous scaling of transistor dimensions over more

COMPUTATIONAL MODELING AND SIMULATION STUDY OF ELECTRONIC AND THERMAL PROPERTIES OF SEMICONDUCTOR NANOSTRUCTURES. A Dissertation

ESE 372 / Spring 2013 / Lecture 5 Metal Oxide Semiconductor Field Effect Transistor

Semiconductor Physics Problems 2015

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

Computational Model of Edge Effects in Graphene Nanoribbon Transistors

Calculation of Confined Phonon Spectrum in Narrow Silicon Nanowires Using the Valence Force Field Method

Atomistic simulation of nanowires in the sp3d5s* tight-binding formalism: From boundary conditions to strain calculations

Stretching the Barriers An analysis of MOSFET Scaling. Presenters (in order) Zeinab Mousavi Stephanie Teich-McGoldrick Aseem Jain Jaspreet Wadhwa

Solid State Device Fundamentals

Section 12: Intro to Devices

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

Basic Semiconductor Physics

Imaginary Band Structure and Its Role in Calculating Transmission Probability in Semiconductors

Lecture 1 Nanoscale MOSFETs. Course Structure Basic Concepts (1-38)

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

Review of Semiconductor Physics. Lecture 3 4 Dr. Tayab Din Memon

Schottky diodes. JFETs - MESFETs - MODFETs

Chap. 11 Semiconductor Diodes

Physics 156: Applications of Solid State Physics

Chapter 3 Properties of Nanostructures

Section 12: Intro to Devices

arxiv: v1 [cond-mat.mes-hall] 27 Mar 2010

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

ECE 340 Lecture 39 : MOS Capacitor II

Numerical study of the thermoelectric power factor in ultra-thin Si nanowires

New Tools for the Direct Characterisation of FinFETS

Quantum-size effects in sub-10 nm fin width InGaAs finfets

Carrier Action: Motion, Recombination and Generation. What happens after we figure out how many electrons and holes are in the semiconductor?

SEMICONDUCTOR PHYSICS REVIEW BONDS,

Charge Carriers in Semiconductor

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

High-Temperature Superconductivity in Lattice-Expanded C 60

Branislav K. Nikolić

ADVANCED BOUNDARY CONDITION METHOD IN QUANTUM TRANSPORT AND ITS APPLICATION IN NANODEVICES. A Dissertation. Submitted to the Faculty

Advantages / Disadvantages of semiconductor detectors

Figure 3.1 (p. 141) Figure 3.2 (p. 142)

MOS Transistors. Prof. Krishna Saraswat. Department of Electrical Engineering Stanford University Stanford, CA

ᣂቇⴚ㗔 䇸䉮䊮䊏䊠䊷䊁䉞䉪䉴䈮䉋䉎 䊂䉱䉟䊮䋺ⶄว 㑐䈫㕖ᐔⴧ䉻䉟䊅䊚䉪䉴䇹 ᐔᚑ22ᐕᐲ ળ䇮2011ᐕ3 4ᣣ䇮 ੩ᄢቇᧄㇹ䉨䊞䊮䊌䉴 㗄 A02 ኒᐲ 㑐ᢙᴺℂ 䈮ၮ䈨䈒㕖ᐔⴧ 䊅䊉䉴䉬䊷䊦㔚 વዉ䉻䉟䊅䊚䉪䉴 ઍ ᄢᎿ ㆺ

8.1 Drift diffusion model

Bilayer GNR Mobility Model in Ballistic Transport Limit

CARRIER TRANSPORT IN ULTRA-SCALED DEVICES. A Thesis. Submitted to the Faculty. Purdue University. Kaushik Balamukundhan. In Partial Fulfillment of the

Transcription:

Towards Atomistic Simulations of the Electro-Thermal Properties of Nanowire Transistors Mathieu Luisier and Reto Rhyner Integrated Systems Laboratory ETH Zurich, Switzerland

Outline Motivation Electron Transport Simulation Approach Mobility Calculation in Si NW Phonon Transport Simulation Approach Anharmonic Ph-Ph Scattering Thermal Conductivity in Si NW Outlook and Conclusion

Motivation

Motivation: Transistor Evolution Source: Intel Source: Intel Source: IBM Planar to 3-D CS Scaling Ultimate FET? d 5nm L g 10nm

Motivation: Ballistic Transport? Si GAA NWFET d=3nm L g =5nm 5nm 5nm source Ballistic spectral current drain Spectral current with e-ph scatt. e-ph scattering still matters in L g <10nm Si FETs

Electron Transport

Electron/Hole Bandstructure Model Empirical Nearest-Neighbor Tight-Binding Method GOOD: Si Electron Bandstructure bulk CB and VB fitted extension to nanostructures atomistic description BAD: high computational effort empirical parametrization U Γ X Γ

Electron Transport Solve 1D/2D/3D Schrödinger equations Modified form to account for open boundary conditions Solution ingredients Atomic Orbitals s/s* Numerical Methods Non-equilibrium Green s Function (NEGF) or Wave Function (WF) Massive Parallelization p x d z 2 -r 2

GAA NW FET Simulation Objective: Electron-Phonon in Si NW FETs, extract e-ph limited mobility µ ph Approach: Tight-binding (sp 3 d 5 s*) description of the electron/hole properties Equilibrium phonon population Quantum transport with NEGF Model returns electron mobility of 1630 cm 2 /Vs for bulk Si @T=300K (no fitting parameter) Results and Impacts: Drain current reduction (larger in transistor ON-state) Change in the shape of the electrostatic potential x=<100> d=3nm L g =15nm

Mobility Extraction Technique R(L)=ΔV/I d (L) µ eff (top) N inv (top) Calculation Method R(L)=ΔV/I d (L) R(L)=R 0 +R ph (L) ρ 1D =dr(l)/dl µ ph =1/(q*ρ 1D *N inv ) 1. Perform self-consistent simulation of nanowire FET including electron-phonon scattering at a small drain voltage ΔV 2. Calculate the channel resistance R(L) for different gate lengths 3. Extract the 1-D inversion charge N inv at the top-of-the-barrier

Phonon-limited Channel Resistance <100> <110> R(L)=R 0 +R ph (L) ρ 1D =dr(l)/dl µ ph =1/(q*ρ 1D *P inv ) µ ph =1/(q*ρ 1D *N inv ) <111> Phonon-limited Channel resistance mobility of of d=3nm Si NW Si NW FETs FETs Mobility Comparison extraction of p-type based and on n-type dr/dl devices method <110>: Crystal best orientations electron <100>, and hole <110>, compromise <111>

Phonon Transport

Phonon Bandstructure Model Valence Force Field (VFF) Method with Empirical Potential Features: modified Keating Model 4 bond interactions extension to nanostructures 1 2 3 Δr ΔΘ Δr Δr Si Phonon Bandstructure Sim. Exp. ΔΘ ΔΘ 4 1. bond stretching 2. bond bending 3. cross bond stretching 4. coplanar bond bending

Phonon Transport Model Solve 1D/2D/3D lattice dynamics equations Modified form to account for open boundary conditions Solution ingredients Bond Interactions Δr ΔΘ Numerical Methods Non-equilibrium Green s Function (NEGF) or Wave Function (WF) Massive Parallelization ΔΘ ΔΘ

Anharmonic Phonon Decay In the case of ballistic transport, each phonon enters and leaves a simulation domain with the same energy: Energy x In reality, high energy phonon can decay into two particles with lower energy (ph-ph scattering): Energy E+E E E x

Anharmonic Model Verification Requirement: phonon transport model should be able to reproduce available experimental data Test: lattice thermal conductivity and mean free path for scattering of bulk Si

Application: Si NW Structures d 3 nm L The thermal current flowing through Si nanowires with a diameter d=3 nm, varying lengths L, a n d d i f f e r e n t c r o s s sections is simulated. <100> <110> <111>

Ballistic vs. Dissipative Thermal Current Thermal current through L=50 nm Si nanowires at different temperatures and for different transport directions. 1.7x 4x

Nanowire Thermal Conductivity Since phonon transport in the presence of anharmonic phonon decay is diffusive, a thermal resistivity ρ th and ph-ph limited conductivity κ th can be extracted.

Outlook and Conclusion

Coupled Electron-Phonon Transport Current status: electron/phonon transport solver Separate, but implemented in the same tool Electron Transport OMEN Phonon Transport Coupling through scattering self-energies Numerical implementation very complicated

Conclusion Important of e-ph scattering Even in ultra-short Si devices Electron transport Good reproduction of bulk µ e Modification of NW electrostatics 30% reduction of NW ON-current Phonon transport Good reproduction of bulk κ th Change in thermal current shape Reduction of thermal conductivity