Bandstructure and effective mass
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02.01.2018
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From http://www.intel.com/technology/mooreslaw/index.htm
From http://www.intel.com/technology/mooreslaw/index.htm
Bandstructure
and effective mass
Bandstructure and effective mass
Carrier confinement
Atomic scale material variations
Local strain variations
Atomistic treatment of electric and magnetic fields
Valley-splitting
Valley-splitting
Highly dependent on atomic scale thickness variations
Need atomistic modeling technique such as tight-binding
Motivation
Motivation
Tight-Binding Approach to
Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si
Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of AlGaAs Nanowires
Ultra-Scaled
InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling
Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111)
Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of AlGaAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
Objective
Objective
Resolve discrepancies in experimentally observed and theoretically predicted valley degeneracies
Effect of surface miscut on the electronic structure
Approach
Supercell tight-binding approach to model surface miscuts
Effective mass based valley-projection model to determine the directions of valley-minima of large supercells
Insight
Atomistic basis representation is essential to capture the effect of mono-atomic steps resulting from miscut
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of AlGaAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics
of InAlAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
Objective
Objective
Method to model bandstructure
of disordered nanowires
Detailed understanding of transport by comparing bandstructure and transmission characteristics
Approach
Transmission: Non-equilibrium Green’s function method
Bandstructure: Supercell calculation and zone-unfolding
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of InAlAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
Objective
Objective
Develop:
a methodology to simulate ultra-scaled InAs FETs
Benchmark:
match experimental I-Vs for “large” devices Lg = 30 - 50nm
Improve:
device design for scaling down to 20nm node
Results/Impact
Good quantitative match to experiments
Performance optimization of 20nm device
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of InAlAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
III-V: Extraordinary electron transport properties and high injection velocities
III-V: Extraordinary electron transport properties and high injection velocities
HEMTs: Very similar structure to MOSFETs except high-κ dielectric layer
Excellent to Test Performances of III-V material without interface defects
Every Year Devices with a Shorter Gate Length Introduced by del Alamo’s Group at MIT
Excellent to Test Simulation Models
Develop simulation tools and benchmark with experiments
Predict performance of ultra-scaled devices
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of InAlAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
Intrinsic device
Intrinsic device
Near gate contact
Self consistent 2D Schrodinger-Poisson
Electrons injected from all contacts
Extrinsic source/drain contacts
Series resistances RS and RD
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of InAlAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of InAlAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of InAlAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
(111) Si quantum wells: Explained 2-4 valley degeneracy breaking (APL 2009)
(111) Si quantum wells: Explained 2-4 valley degeneracy breaking (APL 2009)
Miscut (100) SiGe/Si/SiGe quantum wells: Provided qualitative and quantitative understanding of valley splitting (APL 2007)
AlGaAs and SiGe nanowires: Provided understanding of transmission coefficients by employing zone-unfolding method (TNANO 2007, JCE 07)
AlGaAs and SiGe nanowires: Provided understanding of transmission coefficients by employing zone-unfolding method (TNANO 2007, JCE 07)
InAs HEMTs: Demonstrated quantitative agreement between experiments and simulations. Performance optimizations for ultra-scaled HEMTs (IEDM 09)
Motivation
Motivation
Tight-Binding Approach to Model Atomic Scale Variations
Summary of Results
Valley Degeneracies in (111) Si Quantum Wells
Valley-Splitting in (100) SiGe/Si/SiGe Quantum Wells
Transport Characteristics of InAlAs Nanowires
Ultra-Scaled InAs HEMTs
Performance Analysis of Ultra-Scaled InAs HEMTs
Modeling Approach
Comparison to Experiments
Scaling Considerations
Summary of Contributions
Outlook
Valley degeneracies in (110) Si QWs
Valley degeneracies in (110) Si QWs
Both 4 and 2 fold valley degeneracies are reported in experiments
Flat (110) => 2
fold degenerate
Miscut (110) => 4 fold degenerate
Effect of Ge concentration on valley splitting in (100) SiGe/Si/SiGe QWs
Disorder in SiGe reduces valley splitting and sensitivity to Ge concentration
Supercell approach and zone-unfolding
Supercell approach and zone-unfolding
Electronic structure of rough nanowires and QWs
Hole transport in SiGe pMOS devices
III-V MOSFETs
Advisors:
Advisors:
Professor Gerhard Klimeck
Professor Timothy Boykin
Committee members:
Professor Mark Lundstrom
Professor Supriyo Datta
Professor Ronald Reifenberger
Dr. Mathieu Luisier
Klimeck Group Members and Labmates
InAs Channel Scaling:
InAs Channel Scaling:
Better electrostatic control
lower SS
larger ION/IOFF ratio
Increase of transport m*
reduced vinj, higher Ninv => higher ION
Increase of gate leakage current
ION/IOFF ratio saturates
InAlAs Insulator Scaling:
InAlAs Insulator Scaling:
Better electrostatic control (due to larger Cox)
Increase of gate leakage current
larger IOFF
larger SS
smaller ION/IOFF ratio
Electrons tunnel
from gate into InAs channel
Electrons tunnel from gate into InAs channel
Tunneling barriers
InAlAs and InGaAs
Position dependent barriers
Current crowding at edges (due to lower tunneling barriers)
Barriers modulated by ΦM
Characteristics:
Characteristics:
Same Gate Overdrive
same thermionic current (source to drain)
Gate Fermi levels shifted by ΔΦM
different tunneling barrier height
ΦM =4.7 eV
tunnel through InAlAs only
larger Ig
ΦM =5.1 eV
tunnel through InAlAs and InGaAs
lower Ig
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