Diffusion Modeling and Device Development for Peritoneal ...
Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure...
Transcript of Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure...
![Page 1: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/1.jpg)
Modeling of SiC :Interfaces, Transport & Devices
University of Maryland
Chris Darmody, Ziyang Xiao, Neil Goldsman,
Dev Ettisserry & Akin Akturk
Army Research Lab
Aivars Lelis, Ron Green & Dan Habersat
![Page 2: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/2.jpg)
Outline
1. Neil Goldsman
a) Summary of Key Earlier Results
2. Chris Darmody
a) Extracting the Ideal Surface Mobility with DFT
b) Monte Carlo Modeling of SiC
3. Neil Goldsmana) Atomic Defect Levels and NO Anneal
Explanations
Modeling of SiC & GaN:Interfaces, Transport & Devices
![Page 3: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/3.jpg)
SiC & GaN Device Virtual Fab, Design and Analysis Platform
Process & Fabrication Modeling
(Device Structure &Defect Generation)
Device Modeling(I-V & Performance)
Monte Carlo: (Transport)
Density Functional Theory
(Defects)
Σ
CoolSPICECircuit Design
Device Meet Specs?
YES
NO
E
X
P
E
R
I
M
E
N
T
![Page 4: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/4.jpg)
Summary of Key Results:Transition Region & Atomic Origin of Defects
• Reliability: Threshold Instabilities– Due to Oxide Vacancies and Carboxyl Substitutions in SiO2 side of Trans.
Region (TR)
• Interface States: Mobility Degradation at Low Vgs. – Due to atomic defects in SiC side TR.
• Surface roughness: Mobility Degradation at High Vgs
• Transition Region: Mobility Degradation due to Disruptions in Bloch Functions and Increased Density of States.– Non-Stoichiometric Substitutions and Interstitials in SiC side of Interface
– Oxygen substituting for Carbon and Carbon Interstitials, Carbon Dimers identified and key Non-Stochiometric Structures in TR.
![Page 5: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/5.jpg)
Summary of Key Results: Passivation
SiO2
SiC
JI JI
JII
I Iji jiIi Ii
I
i
i
e RR
eZZ
Mrr
e
Rr
eZ
mH
22
22
,
22
2
2
1
22
1
2ˆ
![Page 6: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/6.jpg)
Summary of Key Results: Passivation
• Nitrogen:
– Passivates Carboxyl Defects in Oxide
– Passivates E’ centers in Oxide
– Passivates carbon interstitials
– But too much N generates more (+) charge & more states near CB.
– Gives rise to counter doping layer at interface
• Improves field effect mobility mainly due to counter doping.
– Acts as a dopant and fills Si vacancies in SiC
![Page 7: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/7.jpg)
Extrinsic vs Intrinsic Mobility Comparisons and Key Result
1
μ𝑇𝑜𝑡𝑎𝑙=
1
μ𝐵𝑢𝑙𝑘+
1
μ𝑆𝑃+
1
μ𝐶+
1
μ𝑆𝑅+⋯ 𝜇𝑖 =
𝑞𝜏𝑖𝑚
𝝁 [ Τ𝒄𝒎𝟐 𝑽𝒔]Surface Field [MV/cm]
0.1 0.5 1
μ𝐵 1070
μ𝑆𝑃 1470 560 400
μ𝐴𝑅 4.4 x 107 1.8 x 106 4.8 x 105
𝝁𝒊𝒏𝒕𝒓𝒊𝒏𝒔𝒊𝒄 620 370 290
μ𝑆𝑅 350 14 4
μ𝐶 429 447 591
𝝁𝒆𝒙𝒕𝒓𝒊𝒏𝒔𝒊𝒄 193 14 4
𝝁𝑻𝒐𝒕𝒂𝒍 147 13 4
Intrinsic Surface Mobility is significantly larger than ExtrinsicIntrinsic Limit: Similar to that of Silicon
![Page 8: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/8.jpg)
Questions?
Next, Chris Darmody will tell us the theoretically best mobility you can get in SiC from SiC/SiO2 DFT Interface
Modeling
Key Finding:Eliminate Mis-cut: Improve surface mobility to almost
700 cm2/V-sec
That’s it for Introduction
![Page 9: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/9.jpg)
Intrinsic Surface Mobility Limit of SiC MOS Devices
Chris Darmody, Neil Goldsman
UMD 2018
![Page 10: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/10.jpg)
Research Interest and Goals
• SiC experimentally shows low surface mobility in MOS devices
• Is this degradation intrinsic to the SiC/SiO2 interface?How good can mobility get?
• Goals: – Separate Intrinsic and Extrinsic Surface Mobility Components– Quantify and compare the intrinsic atomic-level roughness
mobility to other effects
Extrinsic
Intrinsic
![Page 11: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/11.jpg)
Surface Roughness Mobility Models
• Existing:– Lumps intrinsic and extrinsic
factors together– Approximated using a two-
parameter mathematical form to describe the average roughness profile of the surface
• Our Model:– Extracts the atomic-interface
potential from DFT calculation using atomic-scale interface model
– Calculates scattering rate directly from extracted potential
![Page 12: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/12.jpg)
Steps to Extract Intrinsic Atomic-Level Surface Mobility
Structural Relaxation of Pristine Interface
Self-Consistently Calculate Potential of Atomic Interface
Subtract Bulk Potential from Interface Potential to get Perturbation
Density Functional Theory
Perturbation Theory
Use Fermi’s Golden Rule to Calculate Scattering Rate
Directly Calculate Mobility from Scattering Rate
![Page 13: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/13.jpg)
What is DFT?
• Allows us to effectively solve the many-body Schrodinger equation in a crystal
• Single Hydrogen Atom Schrodinger Equation:
−ћ2
2𝑚𝛻2 −
𝑍𝑗𝑞2
𝑟𝜓(𝑟) = 𝐸𝜓(𝑟)
• Many-Body Schrodinger Equation in Crystal:
−
𝑖
ћ2
2𝑚𝛻𝑟𝑖2 −
𝑖
𝑗
𝑍𝑗𝑞2
𝑟𝑖 − 𝑟𝑗+1
2
𝑖
𝑖′
𝑞2
𝑟𝑖 − 𝑟𝑖′𝜓(𝑟1, … , 𝑟𝑁)
= 𝐸𝜓(𝑟1, … , 𝑟𝑁)
• Replaces N-body equation with set of N Kohn-Sham equations for non-interacting particles
−ћ2
2𝑚𝛻2 + 𝑣𝐾𝑆 𝑟 𝜙𝑖 𝑟 = 휀𝑖𝜙𝑖(𝑟)
𝑣𝐾𝑆(𝑟) = 𝑣𝑒𝑥𝑡(𝑟) + 𝑣𝐻[𝜌 𝑟 ] + 𝑣𝑋𝐶[𝜌 𝑟 ] 𝜌 𝑟 = σ𝑖𝑁 |𝜙𝑖 𝑟 |2
![Page 14: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/14.jpg)
Perturbation Theory For Surface Scattering
• Calculate Transition rate from electron in initial state 𝜓𝑖 to final state 𝜓𝑓 using Fermi’s Golden Rule
𝑅𝑖→𝑓 =2𝜋
ħ2𝜓𝑓 ∆𝑉 𝜓𝑖
2𝛿(𝐸𝑓 − 𝐸𝑖)
• Extract 3D atomic perturbation potential (ΔV) around SiC/SiO2
interface from DFT calculations
![Page 15: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/15.jpg)
SiO2
SiC
Interface Potential Extraction
Salemi et al. Journal. Appl. Phys. 113, 2013
![Page 16: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/16.jpg)
Perturbation Potential from Atomic Structure
SiO2
SiC
𝑉𝑥𝑦(𝑧) =1
𝐴ඵ𝑉 𝑥, 𝑦, 𝑧 𝑑𝑥 𝑑𝑦
Salemi et al. Journal. Appl. Phys. 113, 2013
![Page 17: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/17.jpg)
Perturbation Potential Extraction
∆𝑉 = 𝑉𝑆𝑖𝐶/𝑆𝑖𝑂2 − 𝑉𝐵𝑢𝑙𝑘
![Page 18: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/18.jpg)
∆𝑉 = 𝑉𝑆𝑖𝐶/𝑆𝑖𝑂2 − 𝑉𝐵𝑢𝑙𝑘
CalculatedPerturbation
SiC
SiO2
![Page 19: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/19.jpg)
Details of Atomic-Level Perturbation
Oxygen Atoms
‘Virtual’ Carbon Sites
![Page 20: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/20.jpg)
MOS Channel Electron Wavefunction
𝑅𝑖→𝑓 =2𝜋
ħ2𝜓𝑓 ∆𝑉 𝜓𝑖
2𝛿 𝐸𝑓 − 𝐸𝑖
• Assume electron free free in plane of channel and bound in z direction
• Potential quantum well near interface approximately triangular
• Wavefunction has free particle plane wave solution in x and y directions:
– 𝜓 𝑥, 𝑦 = 𝐴𝑒𝑖(𝑘𝑥𝑥+𝑘𝑦𝑦)
• Airy function solution in z direction:
– 𝜓 𝑧 =1
𝜋0∞cos
𝑡3
3+ 𝜉𝑡 𝑑𝑡=Ai[𝜉]
– 𝜉 =2𝑚𝑞 Ԧ𝐸
ћ2
1
3𝑧 −
𝐸𝑛
𝑞 Ԧ𝐸
– 𝐸𝑛 =ħ2
2𝑚
1/33𝜋𝑞 Ԧ𝐸
2𝑛 −
1
4
2/3
𝑉 𝑧 = 𝐸 𝑧 = 𝐹𝑧
1-10 nm
Quantum Well
![Page 21: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/21.jpg)
2D Atomic Surface Scattering Rates
Energy-dependent scattering rate in each subband
Energy and field-dependent scattering rate for 1st subband
![Page 22: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/22.jpg)
2
Field-Dependent Scattering Rate
SiO2SiC
Interface
𝜓 2 peaks closer to interface for higher surface electric fields and higher energies- Leads to increased scattering rate
Scattering Rate increases with the square of the surface field
![Page 23: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/23.jpg)
Extrinsic vs Intrinsic Mobility Comparisons and Key Result
1
μ𝑇𝑜𝑡𝑎𝑙=
1
μ𝐵𝑢𝑙𝑘+
1
μ𝑆𝑃+
1
μ𝐶+
1
μ𝑆𝑅+⋯ 𝜇𝑖 =
𝑞𝜏𝑖𝑚
𝝁 [ Τ𝒄𝒎𝟐 𝑽𝒔]Surface Field [MV/cm]
0.1 0.5 1
μ𝐵 1070
μ𝑆𝑃 1470 560 400
μ𝐴𝑅 4.4 x 107 1.8 x 106 4.8 x 105
𝝁𝒊𝒏𝒕𝒓𝒊𝒏𝒔𝒊𝒄 620 370 290
μ𝑆𝑅 350 14 4
μ𝐶 429 447 591
𝝁𝒆𝒙𝒕𝒓𝒊𝒏𝒔𝒊𝒄 193 14 4
𝝁𝑻𝒐𝒕𝒂𝒍 147 13 4
Intrinsic Surface Mobility is significantly larger than Extrinsic
![Page 24: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/24.jpg)
Feed Scattering Rates into Monte Carlo
• Follow an electron scattering in k-space to get transport characteristics
• Scattering mechanism chosen randomly, weighted by scattering rates
• Collect statistics about its energyand velocity over time
• Build distributions for different applied fields
−ħ2
2𝑚𝛻2 + 𝑉 𝑟 ψ𝑘 𝑟 = 𝐸ψ𝑘 𝑟
𝑑𝑘
𝑑𝑡=−𝑞𝐹
ħChange in k under applied field:
Velocity at a given k: 𝑉(𝑘) =1
ħ
𝑑𝐸(𝑘)
𝑑𝑘
![Page 25: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/25.jpg)
SiC Scattering Rates
![Page 26: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/26.jpg)
Bulk Scattering Simulation –Experimental Agreement
Data from Khan et al. IEEE Trans. On Elec. Dev. (2000)
Dots/Dashed = ExperimentSolid = Monte Carlo
23 °C
320 °C
![Page 27: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/27.jpg)
High Field Effects and High Energy Tail Population Increase
T=300K
Arb
. Un
its
High field shows electrons with energy greater than bandgap –leads to impact ionization avalanching, and perhaps gate leakage
![Page 28: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/28.jpg)
Pure Mobility Results and Overview
• Calculated reasonable field-dependent bulk mobilities from MC simulation as a function of Field and Temperature
• Developed surface roughness scattering extraction technique from atomic-level interface
• Estimated a mobility limit for an ideal surface based on the intrinsic mobility of the interface
𝜇 =Ԧ𝑣𝑑𝑟𝑖𝑓𝑡
𝐸
𝜇 =𝑑 Ԧ𝑣𝑑𝑟𝑖𝑓𝑡
𝑑𝐸
Pure mobility is distinct from field-effect mobility which contains channel charge ‘n’ implicitly
![Page 29: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/29.jpg)
Intrinsic Vs Extrinsic Mobility Key Finding
• Extrinsic scattering mechanisms are the greatest contributing factor to low MOS channel mobility including:• Miscut (nanometer-scale) Surface Roughness• Interface Trap Coulombic Scattering
• Monte Carlo transport calculations investigate transport effects with/without miscut
• Suggest next generation SiC transistor and circuit on-axis topologies.
𝜇 = 13 Τ𝑐𝑚2 𝑉𝑠 𝜇 = 370 Τ𝑐𝑚2 𝑉𝑠
Miscut lowers mobility by ~ 10-20x
Thank You! Questions? Neil Next On Atomic Defects
![Page 30: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/30.jpg)
Atomic View of Defect Levels and Nitrogen Passivation
JI JI
JII
I Iji jiIi Ii
I
i
i
e RR
eZZ
Mrr
e
Rr
eZ
mH
22
22
,
22
2
2
1
22
1
2ˆ
Dev Ettisserry and Neil Goldsman
A Fundamental Many Body Quantum Mechanical Perspective Density Functional Theory
![Page 31: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/31.jpg)
Type 1 Oxygen Vacancies(Electrically Active at room temperature)
• Type 1 OVs have their +1/0 charge transition levels within the 4H-SiC BG.– Makes hole capture energetically favorable even at room temperature.
• On hole capture, they show the well-known back-bonding transformations.
• All the structurally transformed configurations are also electrically active (+1/0
CTL within the BG).
• These OVs are likely to play a role in room temperature Vth instability.
– Supports previous models like the HDL model and ESR studies.
Different structural configurations of Type 1 OVs during hole capture and release
Calculated CTLs for different OV configurations
![Page 32: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/32.jpg)
NO Anneal: Diffusion of NO in a-SiO2
• Diffusion of NO in a-SiO2 studied using DFT-based Nudged Elastic Band (NEB)
method – different directions considered.
• Diffusion barrier = ~ 0.25 eV to 0.6 eV (typical error ~ +0.15 eV).
• NO unlikely to incorporate into bulk oxide in large numbers.
Initial state Final state
diffusion
diffusion
![Page 33: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/33.jpg)
Incorporation of NO into near-interfacial oxide
• NO is considered to dissociate near the interface.
• What happens to atomic N??
– Studied by tracking atomic N in bulk SiO2 – Quantum Molecular Dynamics
(5ps).
• N observed to incorporate into oxide, forming stable Si-[NO]-Si defect (we call it
the ‘Nitroxyl’ defect).
• Almost barrierless, based on NEB simulation.
• ‘Nitroxyl’ defects also formed by trapping of NO in oxygen vacancies (E’ centers
– based on MD)
• Alternate configurations possible.
![Page 34: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/34.jpg)
Incorporation of NO into near-interfacial oxide
• NO is considered to dissociate near the interface.
• What happens to atomic N??
– Studied by tracking atomic N in bulk SiO2 – Quantum Molecular Dynamics
(5ps).
• N observed to incorporate into oxide, forming stable Si-[NO]-Si defect (we call it
the ‘Nitroxyl’ defect).
• Almost barrierless, based on NEB simulation.
• ‘Nitroxyl’ defects also formed by trapping of NO in oxygen vacancies (E’ centers
– based on MD)
• Alternate configurations possible.
![Page 35: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/35.jpg)
Incorporation of NO at 4H-SiC surface
• N and O added between
different Si-C bonds to obtain
three non-equivalent structures.
• Energy gains indicate
a) N counter-doping
b) Re-oxidation of 4H-SiC
plus E’ center generation
Interface containing
molecular NO –
reference structure
Counter-doped structure 4H-SiC re-oxidation and OV
generation
Intermediary non-
equivalent
configurations
• Validates N counter
doping as a
mechanism for
improved mobility in
NO annealed devices.
Interface modeled by
molecular dynamics
![Page 36: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/36.jpg)
Overall Summary and Results
• Major Defect Structures Identified
• Atomic Structure of Surface Isolated
• Detailed Potential Energy of Atomic Surface Configuration Identified
• Surface Potential Used to Isolate Intrinsic from Extrinsic Mobility
• Remove Dislocations: Surface Mobility: ~ 700cm2/V-s
• Atomic configurations of E-prime Center States Identified
• Some Roles of Nitrogen Passivation on Atomic Level Identified
• Use information for optimizing NO passivation
• Expect better Transconductance Performance if/when we transition
to Planar Topologies
THANK YOU: QUESTIONS
![Page 37: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/37.jpg)
Overall summary
• Employed Density functional theory to understand the behavior of N atoms at/near
4H-SiC/SiO2 interface during NO annealing.
• Diffusion of Molecular NO in a-SiO2 analyzed.
– Molecular NO reactions in the bulk oxide are unlikely.
• NO dissociates near interface, leading to various competing mechanisms.
– Incorporation of atomic N into the near-interfacial oxide looks energetically
feasible.
• Resulting configurations are switching oxide traps or fixed positive
charges that could limit reliability.
– Incorporation of atomic N and O at 4H-SiC surface possible.
• Leads to N counter-doping and enhanced mobility.
• Re-oxidation of 4H-SiC plus E’ center generation (which in turn degrades
reliability).
– Process optimization to balance these competing interface reactions likely to
improve device reliability and performance – need of the hour.
![Page 38: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/38.jpg)
2D Scattering Rates for MOS Quantum Well
𝑅𝑖→𝑓 =2𝜋
ħ2𝜓𝑓 ∆𝑉 𝜓𝑖
2𝛿 𝐸𝑓 − 𝐸𝑖
• Transition rate S(k,k’) from state ห ൿ𝑘||, 𝑛 to ห ൿ𝑘||′ , 𝑛′ :
𝑆 𝑘||, 𝑘||′ , 𝑛, 𝑛′ =
2π
ћ𝑘||′ , 𝑛′ ∆𝑉 𝑘||, 𝑛
2𝛿
ħ2 𝑘||′ 2
2𝑚+ 𝐸𝑛′ −
ħ2 𝑘||2
2𝑚− 𝐸𝑛
• Energy conservation imposes allowed 𝑘||𝑓𝑖𝑛𝑎𝑙 values:
𝑘||𝑓𝑖𝑛𝑎𝑙
= (𝑘||𝑖𝑛𝑖𝑡𝑖𝑎𝑙)2+
2𝑚
ћ2(𝐸𝑚
𝑖𝑛𝑖𝑡𝑖𝑛𝑎𝑙 − 𝐸𝑚𝑓𝑖𝑛𝑎𝑙
)
• Obtain total scattering rate W(k) out of state ห ൿ𝑘||, 𝑛 by summing over all allowed final states:
𝑊2𝐷 𝑘||, 𝑛 =𝐴
(2𝜋)2
𝑛′
න𝑆 𝑘||, 𝑘||′ , 𝑛, 𝑛′ 𝑑𝑘||
′
![Page 39: Modeling of SiC : Interfaces, Transport & Devicesneil/SiC_Workshop... · Modeling (Device Structure & Defect Generation) Device Modeling (I-V & Performance) Monte Carlo: ... electron](https://reader030.fdocuments.net/reader030/viewer/2022040906/5e7b2739f1d182546a14a7d4/html5/thumbnails/39.jpg)
Allowed Values for Electron Wavevector 𝑘||
𝑘||𝑓𝑖𝑛𝑎𝑙
= (𝑘||𝑖𝑛𝑖𝑡𝑖𝑎𝑙)2+
2𝑚
ћ2(𝐸𝑛
𝑖𝑛𝑖𝑡𝑖𝑎𝑙 − 𝐸𝑚𝑓𝑖𝑛𝑎𝑙
) 𝑊2𝐷 𝑘||, 𝑛 =𝐴
(2𝜋)2
𝑛′
න𝑆 𝑘||, 𝑘||′ , 𝑛, 𝑛′ 𝑑𝑘||
′
Allowed final states lie on rings