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PHYSICS AND TECHNOLOGY OF HIGH MOBILITY, STRAINED GERMANIUM CHANNEL,
HETEROSTRUCTURE MOSFETS
A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ELECTRICAL
ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES OF
STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE
REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY
Tejas Krishnamohan
June 2006
ii
Copyright by Tejas Krishnamohan 2006
All Rights Reserved
iii
I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as dissertation for the degree of Doctor of Philosophy.
________________________________ Krishna C. Saraswat (Principal Advisor)
I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as dissertation for the degree of Doctor of Philosophy.
________________________________ Yoshio Nishi (Co-advisor)
I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as dissertation for the degree of Doctor of Philosophy.
________________________________ Hon-Sum Philip Wong (Co-advisor)
iv
I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as dissertation for the degree of Doctor of Philosophy.
________________________________ Jeffrey J. Welser (Mentor)
I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as dissertation for the degree of Doctor of Philosophy.
________________________________ Jim Plummer (Co-advisor)
Approved for the University Committee on Graduate Studies.
v
ABSTRACT
As silicon CMOS technology advances into the sub-20nm regime, fundamental
and manufacturing limits impede the traditional scaling of transistors. Innovations in
materials and device structures will be needed for continued transistor miniaturization
and commensurate performance improvements. In this thesis, we introduce novel,
strained germanium, heterostructure, Double Gate (DG) MOSFETs, which can
significantly reduce the off-state leakage currents, while retaining their high current
drivability and excellent electrostatic control.
In the first part, we look at the various challenges encountered in improving
the performance of nanoscale MOSFETs. We discuss some of the current approaches
to engineering the device structure and the channel material to enhance the overall
device performance. We then present the electrical properties of Si(1-x)Gex alloys,
going from Si(x=0) all the way to Ge(x=1), and the effect of strain on their
bandstructure, carrier effective mass and mobility. We also discuss the material
properties, growth technologies and state-of-the-art experimental research results on
high mobility p-MOSFETs utilizing strained-SiGe layers.
Large Band-To-Band Tunneling (BTBT) leakage currents can ultimately limit
the scalability of high mobility (small bandgap) materials. Through 1-D Poisson-
Schrodinger, full-band Monte-Carlo and detailed BTBT simulations, we thoroughly
analyze the tradeoffs between carrier transport, electrostatics and BTBT leakage in
vi
high mobility, sub-20nm, strained-SiGe (high germanium concentration),
heterostructure, PMOS DG FETs. Our results show a dramatic (>100X) reduction in
BTBT and excellent electrostatic control of the channel, while maintaining very high
drive currents and switching frequencies, in these nano-scale transistors.
For the first time, through detailed experiments, we examine the transport and
leakage in ultra-thin, strained-Ge MOSFETs on bulk and SOI. The fabricated devices
show very high mobility enhancements of >4X (over bulk Si devices), while
simultaneously achieving a low off-state leakage.
Finally, the tradeoffs between drive current, intrinsic delay, BTBT leakage and
short channel effects have been systematically compared in futuristic high mobility
channel materials, like strained-Si (0-100%), strained-SiGe (0-100%) and Ge. All
possible combinations of strained Si(1-x)Ge(x) alloys grown on relaxed Si(1-y)Ge(y)
virtual substrates have been evaluated. A detailed discussion on the optimal channel
materials and device structures for future nanoscale p-MOSFETs is presented.
vii
ACKNOWLEDGEMENTS
This thesis would not have been possible without the help and contribution of
several individuals, to whom I am greatly indebted. First of all, I would like to thank
my advisor Prof. Krishna Saraswat for his support and guidance throughout the course
of my research. I especially appreciate his patience and the time he gave me to choose
my research topic, while exploring a large number of areas in novel device physics
and technology. Prof. Saraswat provided me the perfect blend of encouragement and
motivation throughout my graduate career. He has been undoubtedly one of the most
kind and helpful people I have ever interacted with at Stanford. I have been extremely
fortunate to work with the finest advisor that one could possibly hope for.
I am also deeply indebted to my co-advisor Prof. Yoshio Nishi, who has been
an excellent role model and mentor. I have learned a lot from his vast knowledge, his
wide industry experience and strong technical expertise. His has been kind and
generous to share his years of success and experience in the field. This will always be
a continuous source of inspiration for me throughout my career. It has been extremely
rewarding experience to work with him. I would like to thank Prof. Nishi for his
generous support, valuable guidance and insightful suggestions through the course of
my PhD.
I thank Prof. Jim Plummer for his advice and encouragement during my initial
years at Stanford. I have learnt a lot through discussions with him. In spite of his
viii
extremely busy schedule, Prof. Plummer has always made time to give me very
thoughtful and constructive criticism on my research project.
I would like to thank Prof. Philip Wong for contributing the time to serve on
my thesis committee and for his useful feedback on my research. He brings with him a
wealth of knowledge and information from his years of experience at IBM, research.
Philip has a very unique, friendly and unassuming style, and I have learnt
tremendously through various technical discussions on several collaborative research
projects with him and his students.
I would like to thank Dr. Jeff Welser from IBM, Almaden for agreeing to be on
my thesis committee and taking time off his busy schedule to attend my defense. I am
very grateful to him for sharing his industrial experience, and for his thoughtful
comments and excellent feedback on my research papers. As a friend, mentor and
dynamic role model, Jeff has provided me with invaluable and unbiased guidance on
research and future career options.
I am also grateful to Prof. James Harris for chairing my doctoral dissertation
committee as well as for the important suggestions he provided me during the PhD
defense.
During the last couple of years of my PhD I was very fortunate to interact with
Dr. Mark Bohr and Dr. Tahir Ghani from Intel Corp., Portland. I would like to thank
them both for sharing their vast technical expertise and being my mentors during my
Intel PhD Foundation Fellowship. Coming from a research background in academia,
makes one oblivious of the tremendous effort and obstacles faced in eventually getting
ix
to a product stage. As brilliant engineers and excellent managers, Mark and Tahir have
been strong role models and have helped me become aware of the challenging path
that bridges academic or industrial research to industrial product technology
development.
Through my first years at Stanford, I have worked very closely and made some
very good friends in the Strategic Technology Group at AMD, Sunnyvale. I would like
to thank Dr. Zoran Krivokapic, Dr. Ming-Ren Lin, Dr. John Ennals, Dr. Witek
Maszara, Dr. Qi Xiang and Dr. Gen Pei. They have always considered me to be part of
their group and allowed me complete freedom in my research and use of their
equipment. I have gained a lot of industrial experience and learnt tremendously
through my interactions with them. In particular, I would like to thank Zoran for being
an excellent mentor during my summer internships and for his support throughout my
years of interaction with AMD.
I have been extremely fortunate to know Dr. Christoph Jungemann, since his
stay at Stanford as a visiting researcher. We have worked together on several exciting
collaborative projects and I hope this will continue in the future. My technical
discussions with him have greatly enhanced my understanding of device physics and
carrier transport. My non-technical discussions (and experiments) with Christoph have
greatly increased my appreciation for german beer!
I have known Dr. Ken Uchida from Toshiba Corp., Japan, since his visit to
Stanford as a visiting scientist under the INMP program. Ken is one of the brightest
scientists I have interacted with. From his years of experience in theory, simulations
x
and experiments (a rare combination), I have learnt a lot. His continued eagerness to
learn and research into new scientific ideas, while contributing to the field has been
very inspiring to me.
During the last few months of my PhD, I worked with some very bright
scientists at IMEC, Belgium. My experience at IMEC, through my interaction and
collaboration with the germanium/III-V group, was very enjoyable. I am especially
grateful to Marc Heyns, Matty Caymax, Marc Meuris, Ben Kaczer, Brice De Jaeger,
Michael Houssa and Kuhn Martens for their strong support, friendship and exciting
discussions.
I would like to express my gratitude to Dr. Noburu Fukushima, Prof. Shin-ichi
Takagi, Prof. Bob Dutton, Dr. Suman Datta, Dr. Chi-Dong Nguyen, Dr. George
Celler, Dr. Takao Yonehara, Prof. Chris Chidsey, Prof. KJ Cho, Prof. Hongjie Dai, Dr.
Makoto Fujiwara, Dr. Ann Marshall, Prof. Mike McGehee, Prof. Paul McIntyre, Dr.
Wilman Tsai, Dr. Jack Kavalieros, Prof. Charles Musgrave, Prof. Fabian Pease, Dr.
Marcel Pelgrom, Dr. Baylor Triplett for providing excellent feedback, advice and
direction to my research work.
I am grateful to my undergraduate advisor, Prof. Juzer Vasi, for initiating my
interest in the field of semiconductor devices and physics. I thank him for his guidance
and support throughout my undergraduate years.
My experimental research work relied very heavily on the use of the Stanford
Nanofabrication Facility. The SNF staff have done an excellent job in training the lab
users and in maintaining the lab equipment. I would like to thank Dan, Mike, Elmer,
xi
Cesar, Mahnaz, Nancy, Uli, Ed, Maurice, Ted, Mario, Mary, Peter, Gladys, Ray, John,
Jeannie, Jim and John for always providing me with technical support and useful
suggestions. I would also like to thank the other lab users for their help. In particular, I
would like to thank Eric for sharing his knowledge and experience in the fab.
Special thanks to the administrative staff - Irene, Carmen, Maureen, Miho,
Fely, Diane and Sandy - for being very helpful and supportive throughout my stay at
the Center for Integrated Systems.
I consider myself lucky to have a great group of friends, in and out of Stanford,
who have enriched my life and made my years at Stanford very enjoyable. I would
like to acknowledge the Saraswat group, the Plummer group, the Nishi group and the
McIntyre group for sharing their knowledge and insights with me. My heartfelt thanks
to my friends Abhijit, Ali, Ammar, Amol, Anu, Aparna, Arash, Arjang, Colin, Chi-
On, Caleb, Dan, David, Donghyun, Dunwei, Duygu, Ed, Eric, Eunji, Evelyn, Gen,
Gunhan, Hemanth, Henry, Hollis, Hoon, Hopil, Hoyeol, Hyungsub, Hyunmi,
Hyunyong, Jacob, Jeong-hee, Jie, Jim, Jinhong, John, Jon, Joon-seok, Jungyup, Kang-
il, Kailash, Maya, Miriam, Mukul, Nevran, Paul, Pawan, Pranav, Praneeth, Rafael,
Raghav, Raman, Raja, Ray, Rob, Rohan, Rohit, Ryan, Saeroonter, Sameer, Sangho,
Serene, Shyam, Sonal, Sungwoo, Takuya, Xiabo, Yuan, Yue, Yu-Hsuan, Zhi and
many others for their friendship and support.
Financial funding support by the Defense Advanced Research Projects Agency
(DARPA), MARCO Materials, Structures and Devices (MSD) Center, INitiative for
xii
Nanomaterials and Processes (INMP) and an Intel Fellowship is gratefully
acknowledged.
No words would ever do justice to express my deepest thanks and gratitude to
my most wonderful family – my parents and my sister. I will be eternally grateful to
them for being there for me at all times. Their continuous love, sacrifice, support and
encouragement have allowed me to pursue my ambitions.
I dedicate this work to them.
xiii
TABLE OF CONTENTS
Abstract………………………………………………………………………………..iv
Acknowledgements……………………………………………………………………vi
Table Of Contents…………………………………………………………………….xii
List Of Tables……………………………………………………………………….xvii
List Of Figures……………………………………………………………………….xix
Chapter 1: Introduction………………………………………………………………...1
1.1 Motivation………………………………………………………………….1
1.2 Organization………………………………………………………………..6
Chapter 2: Scaling To Sub-20nm MOSFETs………………………………………….7
2.1 Challenges In Scaling Conventional Bulk MOSFETs……………………..7
2.1.1 Long Channel MOSFET…………………………………………8
2.1.2 Short Channel Effects……………………………………………9
2.2 Nano-engineering The Device For Better Electrostatic Control………….13
2.2.1 Partially-Depleted SOI MOSFETs……………………………...13
2.2.2 Fully-Depleted SOI MOSFETs…………………………………14
2.2.3 Multi-Gate (Double-Gate, Tri-Gate, Surround-Gate)
MOSFETs…………………………………………………………….17
2.3 Nano-engineering The Material For Enhanced Carrier Transport………..19
xiv
2.3.1 Impact Of Mobility On The Drive Current In Nanoscale
MOSFETs…………………………………………………………….19
2.3.2 Transport In Strained Si………………………………………...22
2.3.3 Transport In Germanium………………………………………..29
Chapter 3: Strained And Relaxed Silicon-Germanium Si(1-x)Ge(x) Alloys: Going
From Silicon (x=0) To Germanium (x=1) …………………………………………...41
3.1 Bandstructure And Electrical Properties Of SiGe Alloys………………...42
3.1.1 Bandstructure…………………………………………………...42
3.1.2 Effective Mass…………………………………………………..44
3.1.3 Mobility…………………………………………………………47
3.2 Growth Technologies For Strained And Relaxed SiGe Alloys…………..54
3.2.1 Growth Of Strained-Si(1-x)Ge(x) Layers On Si………………..54
3.2.2 Strained Si(1-x)Ge(x) On Relaxed Si(1-y)Ge(y) Virtual
Substrates……………………………………………………………..58
3.2.3 Forming SiGe-On-Insulator Substrates By The Ge Condensation
Technique……………………………………………………………..62
3.3 Current State-Of-The-Art Research On Strained-Ge p-MOSFETs………64
3.3.1 Experimental Results…………………………………………...64
3.3.2 High-Mobility / Narrow-Bandgap Tradeoffs…………………...73
xv
Chapter 4: High Mobility, Low Band-To-Band Tunneling (BTBT) Strained
Germanium, Double Gate (DG), Heterostructure FETs: Simulations………………..75
4.1 Introduction……………………………………………………………….76
4.2 Double Gate Heterostructure FETs……………………………………….77
4.3 Device Working And Quantum Mechanical Effects……………………..80
4.4 Band-To-Band Tunneling (BTBT) Leakage……………………………...84
4.5 Electrostatic Channel Control…………………………………………….87
4.6 High Mobility – Transport………………………………………………..92
4.7 Conclusion………………………………………………………………..96
Chapter 5: High Mobility, Ultra Thin (UT), Strained Ge MOSFETs On Bulk And SOI
With Low Band-To-Band Tunneling (BTBT) Leakage: Experiments……………….98
5.1 Introduction……………………………………………………………….99
5.2 High Mobility, Low BTBT, Ultra-Thin, Strained Ge On Bulk Si………100
5.2.1 Device Structure And Fabrication……………………………..100
5.2.2 Mobility Enhancements And Low Tunneling Leakage……….104
5.2.3 High Mobility And Low Tunneling Leakage Design
Tradeoffs…………………………………………………………….109
5.3 High Mobility, Low BTBT, Ultra Thin, Strained Si0.2Ge0.8-On-SOI…...109
5.3.1 Device Structure And Fabrication……………………………..109
5.3.2 Mobility Enhancements And Reduced Tunneling Leakage…...111
5.4 Conclusion………………………………………………………………119
xvi
Chapter 6: Future Nanoscale p-MOSFETs………………………………………….121
6.1 Introduction……………………………………………………………...121
6.2 Benchmarking High Mobility Materials………………………………...122
6.2.1 Channel Materials Investigated………………………………..122
6.2.2 Transport: Long Channel Mobility vs. ION In Nanoscale
FETs…………………………………………………………………123
6.2.3 Performance: Intrinsic Delay………………………………….125
6.2.4 Off-state Leakage: Band-To-Band Tunneling (BTBT) ……….126
6.2.5 Benchmarking The Different Materials: Power-Performance...128
6.3 Benchmarking High Mobility Device Structures…………………….….130
6.3.1 Double Gate Geometries Investigated………………………...130
6.3.2 Off-state Leakage: Band-To-Band Tunneling (BTBT) ……….130
6.3.3 Scalability: Short Channel Effects (SCE) …………………….131
6.3.4 Performance: Drive Current (ION) And Intrinsic Delay (τ)……134
6.3.5 Benchmarking The Different Device Structures: Power-
Performance…………………………………………………………136
6.4 Conclusion………………………………………………………………136
Chapter 7: Future Research Directions……………………………………………...139
7.1 Materials and Device Structures For High Mobility n-MOSFETs……...139
7.2 Center Channel (CC), Depletion-Mode (DM), Double-Gate (DG) FETs for
xvii
Ge NMOS…………………………………………………………………...140
7.3 Germanium And Heterostructure Nanowire MOSFETs………………...143
7.4 Effect of Process Induced Variation (PIV) On Device Performance In High
Mobility MOSFETs…………………………………………………………148
7.5 Modeling Schottky-Barrier Carbon Nanotube MOSFETs In The Ballistic
Regime………………………………………………………………………150
7.6 Band-To-Band Tunneling Modeling: Device Structure And
Experiments…………………………………………………………………153
Chapter 8: Conclusions……………………………………………………………...156
References…………………………………………………………………………...160
xviii
LIST OF TABLES
Chapter 2
Table 2.1. Physical and electrical properties of Ge compared to Si………….………30
Table 2.2 (a) and (b) Effective mass of electrons in different valleys for different
surface and channel orientations. [2.80]…………….………………………….…….33
Chapter 4
Table 4.1. Carrier mobility and bandgap of some commonly used semiconductors…79
Chapter 5
Table 5.1. Splits for the devices fabricated on bulk substrates……………………...105
Table 5.2. Splits for the devices fabricated on SOI, SSDOI and bulk substrates…...103
xix
Chapter 6
Table. 6.1. Material parameters for (0,1) s-Si, (1,0) s-Ge, (0,0) r-Si and (1,1) r-Ge,
used in this study. ……….……….……….……….……….……….……….………124
xx
LIST OF FIGURES
Chapter 1
Fig. 1.1. Schematic of the bulk MOSFET structure……….……………….………. ...2
Fig. 1.2. Scaling the bulk MOSFET in accordance with Moore’s Law (source: Intel
Corp.)………….. ……….……….……….……….……….……….……….…………2
Fig. 1.3. The increase in chip performance as a consequence of scaling (source: Intel
Corp.) ……….……….……….……….……….……….……….……….……….……2
Fig. 1.4. The increase in chip complexity as a consequence of scaling (source: Intel
Corp.) ……….……….……….……….……….……….……….……….……….……3
Fig. 1.5. The reduction in cost per transistor as a consequence of scaling (source: Intel
Corp.) ……….……….……….……….……….……….……….……….……….……3
Fig. 1.6. Decrease in the relative performance of the bulk MOSFET, due to
fundamental and practical limits, as we scale to sub-20nm gate lengths (source:
ITRS)…………………….……….……….……….……….……….………………….3
Fig. 1.7. Need to maintain an increase in the drive current (Ion) even at reduced supply
voltages (Vdd) in the future (source: Intel)……………………………………………..5
Fig. 1.8. The increase in Ion with scaling is obtained at the expense of an exponentially
growing off-state leakage (Ioff) (source: Intel).……….……….……………………….5
xxi
Fig. 1.9. At the current rate, the exponentially growing static power dissipation will
cross the active power consumption (source: Intel)……………………………………5
Chapter 2
Fig. 2.1. Schematic of the bulk transistor identifying the various problems faced in
scaling………………………………………………………………………………...11
Fig. 2.2. Schematic illustrating the problems associated with scaling the gate oxide and
moving to high-k dielectrics………………………………………………………….11
Fig. 2.3. Schematic of the Partially Depleted (PD) SOI structure……………………16
Fig. 2.4. Schematic of the Fully Depleted (FD) SOI structure……………………….16
Fig. 2.5. Schematic of the Double Gate (DG) MOSFET……………………………..16
Fig. 2.6. Schematic of the Tri-Gate (TG) MOSFET………………………………….18
Fig. 2.7. Schematic of the Surround-Gate (SG) MOSFET…………………………...18
Fig. 2.8 (a). Schematic of the Vertical MOSFET…………………………………….18
Fig. 2.8 (b). Schematic of the fin-FET………………………………………………..20
Fig. 2.8 (c). Schematic of the planar multi-gate FET…………………………………20
Fig. 2.9. Factors that dominate the current drive in (a) the classical drift model and (b)
the quasi-ballistic model. [2.17-2.19]………………………………………………...20
Fig. 2.10. Equi-energy surfaces of inversion layer electrons and the 2-D sub-band
structure projected on a (100) surface………………………………………………...24
xxii
Fig. 2.11. Effect of tensile strain on the conduction sub-band structure of Si …….....24
Fig. 2.12 (a). Electron mobility enhancement factor of biaxially strained-Si n-
MOSFETs grown on relaxed SiGe substrates………………………………………...24
Fig. 2.12 (b). E-field dependence of mobility in biaxially strained-Si compared to
unstrained Si n-MOSFETs. [2.44]……………………………………………………24
Fig. 2.13. Theoretical calculations of the 3-D Si valence band structure near the Γ-
point with uni-axial compressive strain and bi-axial tensile strain. [2.50]…………...26
Fig. 2.14 (a). Hole mobility enhancement factor of biaxially strained-Si p-MOSFETs
grown on relaxed SiGe substrates…………………………………………………….26
Fig. 2.14 (b). E-field dependence of mobility in biaxially strained-Si compared to
unstrained Si p-MOSFETs. [2.56]……………………………………………………26
Fig. 2.15. E-field dependence of hole mobility enhancements in uni-axial and bi-axial
strained-Si compared to unstrained Si p-MOSFETs. [2.48]………………………….26
Fig. 2.16. Dependencies of hole mobility enhancements on uni-axial and bi-axial
strain (compressive and tensile). [2.50]………………………………………………28
Fig. 2.17. Different global straining techniques to introduce large bi-axial strain in Si
MOSFETs.……….……….……….……….……….……….………..………..……..28
Fig. 2.18. Different local straining techniques to introduce large strain in Si
MOSFETs…………………………………………………………………………….28
Fig. 2.19. Conduction and Valence band structure of Ge and Si……………………..30
Fig. 2.20 (a). The lowest valley for silicon is 6-fold symmetric and (b) the lowest
valley for germanium…………………………………………………………………32
xxiii
Fig. 2.21. Drain saturation current of Si MOSFETs on (100) surface andGe MOSFETs
on (100) and (111) surfaces as a function of NS. [2.78]………………………………32
Fig. 2.22. Saturation current as a function of TSOI. [2.78]……………………………32
Fig. 2.23. Saturation current as a function of TGOI. [2.78]……………………………33
Fig. 2.24. Electron occupancy of the 1st ladder and lowest sub-band as a function of
TSOI and TGOI. [[2.78]……………………………………………………………...35
Fig. 2.25. Ultimate Isat-Vg characteristics in the limit of zero nm EOT. [2.78]……..35
Fig. 2.26. Typical Is-Vg characteristics for Ge n-MOSFETs, reflecting the poor drive
currents obtained experimentally……………………………………………………..35
Fig. 2.27 (a). Is-Vg characteristics (at low Vd bias) for the Ge PMOS, showing good
sub-threshold behavior………………………………………………………………..36
Fig. 2.27 (b). Transconductance of the Ge PFET compared to the Si control………..36
Fig. 2.27 (c). The effective mobility extracted on the Ge PFET compared to the Si
control………………………………………………………………………………...36
Fig. 2.28 (a). The Is-Vg characteristics for the Ge p-MOSFETs, showing good sub-
threshold behavior…………………………………………………………………….38
Fig. 2.28 (b). The extracted effective mobility for the bulk G p-MOSFETS compared
to the Si control and Si universal……………………………………………………..38
Fig. 2.29. The hole mobility of Ge, SiGe and Si p-FETs with Al2O3 dielectric
compared to Si universal curve……………………………………………………….38
Fig. 2.30. The bandgap of (a) strained Si and (b) strained Ge on Si(1-x)Gex as function
of underlying substrate Ge concentration (x). [2.88-2.89]……………………………39
xxiv
Fig. 2.31 (a) and (b). The contour lines of energy for the first valence band of (a)
unstrained Si and (b) strained Si0.7Ge0.3 in the plane with kz=0 (vertical direction
parallel to the plane)…………………………………………………………………..39
Chapter 3
Fig. 3.1. Calculated valence and conduction band shifts in (a) Si and (b) Ge as a
function of in-plane biaxial strain. [3.1]……………………………………………...43
Fig. 3.2. Valence and conduction band shifts for relaxed Si(1-x)Ge(x) alloys as a
function of Ge mole fraction. [3.1]…………………………………………………...43
Fig. 3.3 (a) and (b). Valence and conduction band shifts for (a) Si(1-x)Ge(x) alloys
grown on a <001> Si substrate and (b) Si(1-x)Ge(x) alloys grown on a <001> Ge
substrate. [3.1]………………………………………………………………………..45
Fig. 3.4 (a). Calculated fundamental gaps of (100)-strained Si(1-x)Ge(x) alloys (active
material) grown pseudomorphically on unstrained Si(1-y)Ge(y) alloys (substrate
material). [3.2]………………………………………………………………………...45
Fig. 3.4 (b). Comparison of the theoretical and experimental data for the fundamental
gap in unstrained and strained Si(1-x)Ge(x) alloys. [3.2]…………………………….46
Fig. 3.5. Band structure discontinuities: Relative position of the Si and Ge valence and
conduction bands. Band splittings result from strain and spin-orbit splittings in the
materials. [3.3]………………………………………………………………………..46
xxv
Fig. 3.6. Valence and conduction bands in strained Si(1-x)Ge(x) alloys matched to a
Si(001)substrate.[3.3]……………………………………………………………..…..46
Fig. 3.7. Valence and conduction bands in strained Si(1-x)Ge(x) alloys matched to a
Ge(001) substrate. [3.1]………………………………………………………………48
Fig. 3.8. Calculated electron curvature mass and hole density of states mass as a
function of biaxial in-plane strain. [3.1]……………………………………………...48
Fig. 3.9. Electron and hole effective masses for relaxed SiGe. [3.1]…………………49
Fig. 3.10. Calculated electron and hole effective masses for compressive and tensile,
biaxial strained SiGe. [3.1]…………………………………………………………...49
Fig. 3.11. Calculated band edge masses (in plane and out of plane) for the top most
valence band in strained SiGe. [3.1]………………………………………………….51
Fig. 3.12. Calculated phonon limited electron and hole mobility in strained-silicon.
[3.1]…………………………………………………………………………………...51
Fig. 3.13. Calculated phonon limited electron and hole mobility in strained-
germanium. [3.1]……………………………………………………………………...53
Fig. 3.14. Calculated phonon limited electron and hole mobility in relaxed-silicon
germanium. [3.1]……………………………………………………………………...53
Fig. 3.15. Calculated phonon limited electron and hole mobility in compressive
strained-SiGe on Si. [3.1]……………………………………………………………..55
Fig. 3.16. Calculated phonon limited electron and hole mobility in tensile strained-
SiGe on Ge. [3.1]……………………………………………………………………..55
xxvi
Fig. 3.17. Schematic illustrating biaxial strain created by lattice mismatch and
epitaxial growth……………………………………………………………………….57
Fig. 3.18. Schematic illustrating defect-free strained growth and relaxed growth
through misfit dislocations……………………………………………………………57
Fig. 3.19. Stable and metastable critical thickness plots as a function of Ge fraction for
strained Si(1-x)Ge(x) grown on Si substrates. [3.7]………………………………….57
Fig. 3.20. Misfit / Threading arm dislocation geometries for capped and uncapped
Si(1-x)Ge(x) layers grown on Si……………………………………………..……….59
Fig. 3.21. Defect free strained Si0.6Ge0.3 layer on Si (with Si cap) grown in the ASM
reactor at Stanford…………………………………………………………………….59
Fig. 3.22. Coherently strained Ge nanoclusters on Si showing pyramids and domes.
[3.10]………………………………………………………………………………….59
Fig. 3.23. SiGe alloy under large compressive stress leads to surface roughness, which
reduces the elastic energy at the expense of an increased surface energy……………61
Fig. 3.24. Defect-free, ultra-thin (2nm) 100% strained-Ge on Si, using germane as the
source gas, grown in the ASM reactor at Stanford…………………………………...61
Fig. 3.25. Schematic cross-section of the graded SiGe layer technique to create a
defect-free, relaxed SiGe virtual substrate. [3.19]………………………..…………..61
Fig. 3.26. Typical cross-section of a relaxed-SiGe virtual substrate grown on a Si
substrate using graded SiGe as the transition layer. [3.22]…………………………...63
Fig. 3.27. Graded SiGe buffer layers grown at 6000C (a) and (b), and 8000C (c) and
(d). The high temperature buffer is better quality and has lower surface roughness.
[3.20-3.21]…………………………………………………………………………….63
xxvii
Fig. 3.28. Schematic illustrating the Ge condensation technique. [3.23]……………..63
Fig. 3.29. (a) Cross-sectional TEM of GOI by condensation technique and (b) AFM
image of the GOI layer with rms roughness of ~0.42nm. [3.23]……………………..65
Fig. 3.30. Cross-section of the Si0.17Ge0.83 channel MOSFET. [3.24]…………….65
Fig. 3.31. Effective carrier mobility in the Si0.17Ge0.83 channel p-MOSFET as a
function of E-field compared to Si universal curves. [3.24]………………………….65
Fig. 3.32. Fabrication procedure for strained SGOI MOSFETs by a local condensation
technique. [3.26]……………………………………………………………………...67
Fig. 3.33. Efective mobility as a function of E-field for the SGOI p-MOSFETs
compared to universal mobility in Si nMOS and pMOS. [3.26]……………………..67
Fig. 3.34. Effective mobility vs NS for the SiGe devices. The onset of conduction at
the SiO2/Si interface is marked by a cross (+). [3.27]………………………………...67
Fig. 3.35 (a). Interface trapped charge density distributions vs energy measured from
the valence band edge of silicon, for the SiGe device with a 2nm Si cap and the
epitaxial Si control. [3.27]…………………………………………………………….69
Fig. 3.35 (b). Calculated rms interface roughness scattering potential at the SiO2/Si
interface and at the Si/SiGe interface for different Si capping layer thickness.
[3.27]………………………………………………………………………………….69
Fig. 3.36. Schematic of the strained-Ge MOSFET. [3.28]…………………………...69
Fig. 3.37 (a). Hole effective mobility vs Ninv of the strained-Si/strained-Ge dual-
channel heterostructures grown on SiGe. [3.28]……………………………………...70
xxviii
Fig. 3.37 (b). The hole effective mobility for the dual-channel heterostructures as a
function of the Ge layer thickness. [3.28]…………………………………………….70
Fig. 3.38 (a). Comparison of extracted mobility for strained-Ge, bulk Ge and Si
control p-MOSFETs. [3.28]…………………………………………………………..70
Fig. 3.38 (b). Typical Is-Vg characteristics for the strained-Ge p-MOSFETs.
[3.29]………………………………………………………………………………….71
Fig. 3.39 (a). Transconductance of the PMOS with HfO2 gate oxide on 60% SiGe
channel formed by local thermal mixing compared to Si-HfO2 control. [3.30]……...71
Fig. 3.39 (b). Transconductance of the PMOS with remote plasma oxide on 100% Ge
channel formed by selective UHVCVD compared to Si-control with the same oxide.
[3.30]………………………………………………………………………………….71
Fig. 3.40 (a). Sub-threshold of the PMOS with HfO2 gate oxide on 60% SiGe channel
formed by local thermal mixing compared to Si-HfO2 control. [3.30]……………….72
Fig. 3.40 (b). Sub-threshold of the PMOS with remote plasma oxide on 100% Ge
channel formed by selective UHVCVD compared to Si-control with the same oxide.
[3.30]………………………………………………………………………………….72
Chapter 4
Fig. 4.1. Dominant leakage paths in nanoscale high-mobility CMOS devices. High-
mobility (low-bandgap) materials suffer from excessive BTBT leakage…………….79
xxix
Fig. 4.2. Tradeoffs between effective mass (m*), bandgap (EG) and dielectric constant
(κS) in semiconducting materials……………………………………………………..79
Fig. 4.3. Tradeoffs between BTBT leakage, transport properties, and electrostatic
control in nanoscale high-mobility MOSFETs. High mobility (high permittivity) has
worse electrostatics and BTBT leakage but better transport properties………………81
Fig. 4.4. Schematic of the heterostructure DG FET compared to surface channel FETs.
Heterostructure FETs can combine the superior transport of a high mobility material
with the better electrostatics and leakage of a large bandgap material……………….81
Fig. 4.5. (a) Structure of the Si-strained Ge-Si heterostructure DGFET……………...83
(b) Device cross-section for the Si-strained Ge-Si heterostructure DGFET………….83
(c) Band structure and offsets for the Si-strained Ge-Si heterostructure DGFET……83
Fig. 4.6. Cross-section valence band profile for the Si-strained Ge-Si heterostructure
DGFET for different Ge percentage (X), TSi and TGe (Luttinger-Kohn 6x6 k.p
Schrodinger)…………………………………………………………………………..83
Fig. 4.7. Cross-section hole density for the Si-strained Ge-Si heterostructure DGET for
different Ge percentage (X), TSi and TGe (Luttinger-Kohn 6x6 k.p Schrodinger)……86
Fig. 4.8. Cross-section E-field profile for the Si-strained Ge-Si heterostructure DGFET
for different Ge percentage (X), TSi and TGe (Luttinger-Kohn 6x6 k.p
Schrodinger)…………………………………………………………………………..86
Fig. 4.9. Minimum OFF-state leakage (IOFF,min) for the DG heterostructure FET
compared to surface channel Si and Ge DGFETs. The reduction in BTBT leakage
(IOFF,min) is nearly 2 orders of magnitude for TGe<2nm……………………………….86
xxx
Fig. 4.10. 2-D E-field profile near the drain end for the surface channel Si and Ge
DGFETs compared to the DG heterostructure FET. The E-field is maximum at the
gate-drain edge………………………………………………………………………..88
Fig. 4.11. Effect of TSi,Cap on BTBT leakage. Increasing TSi significantly lowers the
BTBT leakage due to lower E-fields in the Ge……………………………………….88
Fig. 4.12. Quantum mechanical increase in the apparent bandgap for 100% strained-
Ge quantum well confined between 1nm silicon capping layers. Quantum mechanical
effects become very significant for TGe < 3nm……………………………………….88
Fig. 4.13. Effect of TGe on BTBT leakage. Decreasing TGe significantly lowers the
BTBT leakage due to quantum-mechanical increase in the apparent bandgap and the
lower density of states………………………………………………………………...90
Fig. 4.14. Effect of varying both TSi and TGe for the same total thickness (TS=TSi+TGe)
on the BTBT as a function of the Ge percentage in the strained-SiGe layers………..90
Fig. 4.15. Different heterostructure DGFET structures simulated to benchmark the
SCE as a function of TSi, TGe, TS and LG. Y (=TGe/TSi%) was varied from 0% (surface
channel Si) to 100% (surface channel Ge)……………………………………………90
Fig. 4.16. DIBL as a function of LG and TS for different heterostructure DGFET
structures. A 5% increase in LG or 10% decrease in TS allows a 25% heterostructure
DGFET (worst SCE) to have the same DIBL as a surface channel Ge and Si DGFET,
respectively…………………………………………………………………………...91
Fig. 4.17. SS as a function of LG and TS for different heterostructure DGFET
structures. A 5% increase in LG or 10% decrease in TS allows a 25% heterostructure
xxxi
DGFET (worst SCE) to have the same SS as a surface channel Ge and Si DGFET,
respectively…………………………………………………………………………...91
Fig. 4.18. Device structures used in the full-band Monte-Carlo simulations. The doped
Si-cap DG heterostructure FET (b) operates like a MOS-gated HEMT……………...94
Fig. 4.19. Valence band profiles for the three devices shown in Fig. 4.18 in OFF and
ON state. The holes are still strongly confined to the center of the channel………….94
Fig. 4.20. Monte-Carlo simulations of the carrier density though the channel for the
three devices shown in Fig. 4.18. CC heterostructure DG FETs have a 15% lower
capacitance than the Si surface channel DGFET……………………………………..94
Fig. 4.21. Monte-Carlo simulations of the reflection coefficient though the channel for
the three devices shown in Fig. 4.18. The backscattering coefficient at the source for
the Si surface channel DGFET is 40% higher than the CC heterostructure DG
FET.…………………………………………………………………………………...95
Fig. 4.22. Monte-Carlo simulations of the carrier velocity through the channel for the
three devices shown in Fig. 4.18. The injection velocity at the source for the CC
heterostructure DG FETs is 50% higher than the Si surface channel DGFET……….95
Fig. 4.23. Monte-Carlo simulations of the drive current for the three devices shown in
Fig. 4.18. The drive current for the CC heterostructure DG FETs is 50% higher than
the Si surface channel DGFET………………………………………………………..95
Fig. 4.24. Monte-Carlo simulations of the cut-off frequency for the three devices
shown in Fig. 4.18. The cut-off frequency for CC heterostructure DG FETs is nearly
2X higher (1000GHz) than the Si surface channel DGFET………………………….97
xxxii
Chapter 5
Fig. 5.1. Device structure and band diagrams……………………………………….102
Fig. 5.2 (a). Islanding and defect formation in epitaxial films with high Ge
concentration………………………………………………………………………...102
Fig. 5.2 (b). Cross-sectional TEM of device………………………………………...102
Fig. 5.3. SIMS profile of an Si/SiGe superlattice annealed at 7500C (1h), 8000C (1h)
and 8500C (0.5h). Ge diffuses and piles up at the gate interface during thermal
oxidation……………………………………………………………………………..103
Fig. 5.4. (a)-(c) Interface states and defects generated as a result of Ge diffusion
toward the surface are a strong function of the TSi, cap for a given gate oxidation
condition……………………………………………………………………………..103
Fig. 5.5. C-V for the strained Ge (on bulk Si) channel devices……………………..105
Fig. 5.6. Is-Vg for the strained Ge (on bulk) devices………………………………..105
Fig. 5.7. Mobility versus Ninv with varying TSi, cap…………………………………..107
Fig. 5.8. BTBT (gate induced drain leakage, GIDL) with varying TSi, cap…………..107
Fig. 5.9. Maximum E-field in the Si cap and Ge channel…………………………...107
Fig. 5.10. Mobility and BTBT versus TSi, cap………………………………………..108
Fig. 5.11. Mobility versus Ninv with varying TGe channel…………………………...108
Fig. 5.12. BTBT (GIDL) with varying TGe channel…………………………………108
xxxiii
Fig. 5.13. Factors affecting BTBT and TAT………………………………………...110
Fig. 5.14. Mobility and BTBT versus TGe channel showing that 2nm is optimum for
100% strained Ge on bulk Si………………………………………………………...110
Fig. 5.15. Lower E-field and quantization effects in the UT Ge channel reduce the
BTBT leakage in the heterostructure field-effect transistor (E(max) is around the
depletion layer near the surface at the Drain/Gate edge)……………………………110
Fig. 5.16. Designing optimal Si cap and Ge channel thickness under mobility
constraints…………………………………………………………………………..112
Fig. 5.17. (a) and (b) Device structure and band diagrams for the strained SiGe on SOI
device structure……………………………………………………………………...112
Fig. 5.18. Cross-sectional TEM of device showing TSicap=3nm, TGe=3nm and
TSOI=9nm…………………………………………………………………………….112
Fig. 5.19. Simulations using Luttinger-Kohn (6x6 k.p) Schrodinger solver showing the
effect of varying the TSicap, the TGe and the % Ge on the C-V………………………113
Fig. 5.20. Simulations using Luttinger-Kohn (6x6 k.p) Schrodinger solver showing the
effect of varying TSicap on the valence band profile and carrier distribution in the Si
and Ge layers at an Ninv=1013cm-2. Even for TSi,cap= 5nm, most of the carriers are
quantum confined in the strained SiGe layer………………………………………..115
Fig. 5.21. Simulations using Luttinger-Kohn (6x6 k.p) showing the effect of varying
the TGe and the %Ge on the band profile and carrier distribution in the Si and Ge
layers at an Ninv=1013cm-2. Due to the large band offset, even a 60% SiGe layer has a
strong confining potential for the carriers…………………………………………...115
xxxiv
Fig. 5.22. Calculated ‘effective bandgap’ increase as a function of TGe, due to energy
level quantization, for a 100% strained Ge well confined between two 1nm Si capping
layers………………………………………………………………………………...117
Fig. 5.23. Experimental mobility vs Ninv. Peak mobility enhancement was 4X for the
strained SiGe on SOI device………………………………………………………...117
Fig. 5.24. Experimental Id-Vg characteristics of the strained SiGe on SOI PMOS. The
device has a degraded SS due to the thicker oxide (~35nm) and the Ge-related defects
at the interfacel, but exhibits good electrostatic control and low tunneling leakage
(<0.3nA)……………………………………………………………………………..117
Fig. 5.25. Id-Vd characteristics of the SiGe SOI device. The drive currents are very
high (>7X) compared to the SOI control due to the higher mobility and the reduced
Vth……………………………………………………………………………………118
Fig. 5.26. Electric field components in UT-SOI devices. Thinning down the SOI
thickness decreases the vertical E-field [E(z)] at the expense of the lateral E-field
[E(x)]. The lateral field plays an important role in the tunneling leakage of the SiGe on
SOI device…………………………………………………………………………...118
Fig. 5.27. Schematic showing the importance of the lateral E-field on tunneling
currents in Ultra-Thin strained SiGe on SOI devices……………………………….118
Chapter 6
xxxv
Fig. 6.1. DG FET, with different channel materials, simulated in this study (Lg=15nm,
Ts=5nm, Vdd=0.7V)………………………………………………………………...124
Fig. 6.2. In-plane mobility for the various channel materials. Mobility dramatically
increases with increasing strain and Ge concentration……………………………...124
Fig. 6.3. Full-band Monte Carlo Drive current for the various channel materials. s-Ge
on r-SiGe and s-SiGe on r-Si (for x>0.8) exhibit the highest drive currents………..127
Fig. 6.4. Intrinsic delay for the various channel materials. s-Ge on r-SiGe and s-SiGe
on r-Si (for x>0.8) exhibit the highest performance………………………………...127
Fig. 6.5. I(OFF, min) is the minimum achievable leakage current in a MOSFET……...127
Fig. 6.6. IOFF,MIN for the various channel materials. s-Ge shows a dramatic reduction in
off-state leakage compared to r-Ge because of the lower leakage from the Γ-
valley………………………………………………………………………………...129
Fig. 6.7. fT vs IOFF,MIN for the various channel materials. (1,0.6) s-Ge shows an
optimum reduction (>10X) in off-state leakage compared to (1,1) r-Ge and
simultaneously achieving higher switching frequencies…………………………….129
Fig. 6.8. Comparing the relative performance (with r-Si as reference) of compressive
biaxially strained (1,0.6) s-Ge to (0,0) r-Si, (0,1) s-Si, (1,1) r-Ge and (1,0) s-
Ge……………………………………………………………………………………129
Fig. 6.9. Device structures – surface channel and heterostructures with different
channel materials…………………………………………………………………….132
Fig. 6.10. Band structure for the r-Si/s-Ge/r-Si heterostructure……………………..132
Fig. 6.11. I(OFF,min) for different materials. (0,1) s-Si shows the highest leakage……132
xxxvi
Fig. 6.12. I(OFF,min) for the different materials compared to the heterostructure……..133
Fig. 6.13. Bandgap increases due to quantization…………………………………...133
Fig. 6.14. To benchmark the short channel effects, the ratio of TGe/Ts was varied
from 0% (surface channel Si) to 100% (surface channel Ge)……………………….133
Fig. 6.15 (a) and (b). Subthreshold Slope as a function of total channel thickness and
channel length……………………………………………………………………….135
Fig. 6.16 (a) and (b). DIBL as a function of total channel thickness and channel
length………………………………………………………………………………...135
Fig. 6.17. I(ON) for different materials. (1,0) s-Ge shows the highest leakage………135
Fig. 6.18. Effect of Ts variation on the I(ON) of the heterostructure…………………137
Fig. 6.19. Intrinsic delay of different materials. ~2nm heterostructure is
optimal……………………………………………………………………………....137
Fig. 6.20. Switching frequency vs leakage current to benchmark the different materials
and structures………………………………………………………………………..137
Chapter 7
Fig. 7.1. Schematic of the device structure and the models used to calculate ballistic
transport……………………………………………………………………………..141
Fig. 7.2 (a). Electron sub-band energies and occupancies for Si and Ge……………141
xxxvii
Fig. 7.2 (b). Electron sub-band energies and occupancies for GaAs, InAs and
InSb………………………………………………………………………………….141
Fig. 7.3. Band-To-Band-Tunneling limited Off current in the different
materials……………………………………………………………………………..142
Fig. 7.4. Short Channel Effects in the different materials, (a) as a function of variations
in TS and (b) as a function of variations in LG………………………………………142
Fig. 7.5. Intrinsic gate delay vs. off-state leakage for all the different materials
considered…………………………………………………………………………...142
Fig. 7.6. Working of the DM DG FET compared to a conventional DG FET, with the
channel in the center as opposed to the channel at the surface……………………...144
Fig. 7.7. (left) Conventional DG FET with the peak carrier concentrations in regions
of high E-field at the surface and (right) the DMDG FET with the peak carrier
concentration in the center, where the E-field is zero……………………………….144
Fig. 7.8. Potential profile showing change from conventional DG FET to DM DG FET
operation as we increase the channel doping………………………………………..144
Fig. 7.9. Lowest energy wavefunction for the conventional DG and the DMDG device
in the ON state……………………………………………………………………….145
Fig. 7.10. The predicted E-field dependent mobility and the concentration dependent
mobility for Si and Ge……………………………………………………………….145
Fig. 7.11. (top) TEM image of a 4nm nanowire growing from a 3nm particle and
(bottom) HR TEM showing the lattice structure of a 3nm nanowire……………….147
xxxviii
Fig. 7.12. (a) Tope view SEM of the device showing S/D regions, the nanowire bridge
on the SiO2 dielectric.
(b) Schematic side view of the device.
(c) Id-Vg curves for the device at different drain biases.
(d) Id-Vd curves for the device at different gate biases.
(e) The estimated mobility for the device as a function of gate bias………………..147
Fig. 7.13. Flowchart showing the simulation methodology used…………………...149
Fig. 7.14. Comparison of the Id-Vg for the worst-case ON device to the nominal for Si
and Ge……………………………………………………………………………….149
Fig. 7.15. Effect of the worst-case Process Induced Variation (PIV) for Si and Ge
devices, as we scale down from 25nm to 14nm……………………………………..149
Fig. 7.16. (a) Device geometry cross-sections along the channel direction and normal
to the nanotube. (b) Energy in the radial direction with the superimposed E-k
diagram………………………………………………………………………………151
Fig. 7.17. Energy distribution of the carriers and the chemical potential, in the
presence of a scattering center before the ballistic channel…………………………151
Fig. 7.18. Id-Vd plots for a (10,0) nanotube with d=0.8nm, tox=4nm, εox=20, EG =1eV
and L=100nm, with varying Schottky barrier heights………………………………152
Fig. 7.19. Id-Vd plots for a (19,0) nanotube with mid-gap schottky barrier and varying
oxide thicknesses…………………………………………………………………….152
Fig. 7.20. Id-Vd for a (19,0) nanotube (zigzag, dash-dotted line), (18,2) nanotube
(chiral,dashed line) and (16,5) nanotube (solid line)………………………………..152
xxxix
Fig. 7.21. All possible (direct and indirect) tunneling paths, Γ-Γ, Γ-X and Γ-L are
captured by the model……………………………………………………………….154
Fig. 7.22. Ultra-thin body and larger quantization increases the effective bandgap and
lowers the tunneling rate…………………………………………………………….154
Fig. 7.23. Iso-leakage (Ioff,min) contours. The curves determine the maximum
allowable Vdd to meet the ITRS off-current requirement for a LG=15nm device at a
given body thickness. s-Si cannot be used for >0.5V operation, Ge and InAs can be
used for 0.9V operation when TBody <5nm. For TBody <7nm s-Ge can be used for >1V
operation. Si and GaAs comfortably meet the ITRS off-current specification because
of their large bandgap……………………………………………………………….154
1
Chapter 1
Introduction
1.1 Motivation
Since their first practical demonstration in 1960 [1.1], the Silicon-based Metal Oxide
Semiconductor Field Effect Transistor (MOSFET) has become one of the most
important device in the semiconductor industry. Today's monoliththic Integrated
Circuits (ICs) use the MOSFET as a basic switching element for digital logic
applications and as an amplifier for analog applications. While the basic structure of
the MOSFET has remained unchanged Fig. 1.1, its size has been continually reduced
by a factor of two every 2-3 (Fig.1.2) years in accordance with Moore's Law [1.2].
This has resulted in chips that are significantly faster (Fig. 1.3) and have greater
complexity (Fig. 1.4) in every generation while continually bringing down the cost per
transistor (Fig. 1.5).
At present, in the 45nm high-performance processor technology, the physical gate
length is approaching 20nm, with gate oxides thinner than 9 angstroms. A
conventional exponential scaling based on the reduction of feature size obviously
2
Fig. 1.1. Schematic of the bulk MOSFET structure
Fig. 1.2. Scaling the bulk MOSFET in accordance with Moore’s Law (source: Intel).
Fig. 1.3. The increase in chip performance as a consequence of scaling (source: Intel).
3
Fig. 1.4. The increase in chip complexity as a consequence of scaling (source: Intel).
Fig. 1.5. The reduction in cost per transistor as a consequence of scaling (source: Intel).
Fig. 1.6. Decrease in the relative performance of the bulk MOSFET, due to fundamental and practical limits, as we scale to sub-20nm gate lengths (source: ITRS).
4
cannot continue forever. As we scale into sub-45nm technology nodes, as illustrated in
Fig. 1.6, beyond the year 2010, fundamental as well as practical constraints start
limiting the performance of the conventional bulk Si MOSFET. The need to enhance
drive currents (Fig. 1.7) while scaling the transistor size and decreasing supply
voltage, has been accompanied with an exponential increase in the static, off-state
leakage of the device (Fig. 1.8). While the active power density on the chip has
steadily increased with gate length scaling, the static power density has grown at a
much faster rate (Fig. 1.9). The active power arises due to the dissipative switching of
charge between the transistor gates and supply/ground terminals during logic
switching. The sub-threshold power, also known as static or standby power, is
dissipated even in the absence of any switching operation. It arises due to the fact that
the MOSFET is not an ideal switch - there is still some leakage current that flows
through it in the off-state. Static power dissipation was a relatively insignificant
component of the total chip power just a few generations back, but it is now
comparable in magnitude to the active power. Management and suppression of static
power is one of the major challenges to continued gate length reduction for higher
performance. Once the scaling of the conventional bulk Si MOSFET starts slowing
down, the insertion of performance boosters, like novel materials and non-classical
device structures, will become necessary to continue to improve performance.
5
Fig. 1.9. At the current rate, the exponentially growing static power dissipation will cross the active power consumption (source: Intel).
Fig. 1.7. Need to maintain an increase in the drive current (Ion) even at reduced supply voltages (Vdd) in the future (source: Intel).
Fig. 1.8. The increase in Ion with scaling is obtained at the expense of an exponentially growing off-state leakage (Ioff) (source: Intel).
6
1.2 Organization
The thesis is organized as follows:
Chapter 1: Introduction
Chapter 2: Scaling To Sub-20nm MOSFETs
Chapter 3: Strained And Relaxed Silicon-Germanium Si(1-x)Ge(x) Alloys: Going
From Silicon (x=0) To Germanium (x=1)
Chapter 4: High Mobility, Low Band-To-Band Tunneling (BTBT) Strained
Germanium, Double Gate (DG), Heterostructure FETs: Simulations
Chapter 5: High Mobility, Ultra Thin (UT), Strained Ge MOSFETs On Bulk And SOI
With Low Band-To-Band Tunneling (BTBT) Leakage: Experiments
Chapter 6: Future Nanoscale p-MOSFETs
Chapter 7: Future Research Directions
Chapter 8: Conclusions
7
Chapter 2
Scaling To Sub-20nm MOSFETs
As silicon CMOS technology advances into the sub-20nm regime, fundamental and
manufacturing limits impede the traditional scaling of transistors. Innovations in
materials and device structures will be needed for continued transistor miniaturization
and commensurate performance improvements. In this chapter, we look at the various
challenges encountered in enhancing the performance of nanoscale MOSFETs. We
review some of the current approaches to engineering the device structure and the
channel material to improve the overall device performance.
2.1 Challenges In Scaling Conventional Bulk MOSFETs
In a MOSFET, the gate is used as a control terminal to switch on or off a current
conduction channel between the source and drain terminals. The current carriers can
be either electrons (in an n-type MOSFET, called NMOS FET) or holes (in a p-type
MOSFET, called PMOS FET).
8
In the traditional implementation of the bulk MOSFET, the gate electrode is made of
heavily (n or p) doped polycrystalline silicon. It is separated from the bulk silicon
substrate by a thin insulating dielectric layer of silicon dioxide. The channel region
underneath the gate is moderately doped. The source and drain regions, upon which
the other electrode contacts are formed, are heavily doped to form n-p (or p-n)
junctions to the oppositely doped substrate. The simplest transistor scaling approach
[2.1] involves reducing the vertical and horizontal dimensions, as well as the supply
voltage, by the same factor in an attempt to keep the electric fields in the scaled
MOSFET the same as before (constant-field scaling). However, actual scaling
implementations have been based on slightly modified approaches where the geometry
and voltage are reduced by different factors (generalized scaling).
Fig. 2.1 shows a schematic of the conventional transistor built on bulk-Si substrates
(bulk MOSFET), identifying the various problems faced in scaling the transistor.
2.1.1 Long Channel MOSFET
In early generation transistors with large gate lengths (long channel MOSFETs), the
vertical electric field in the channel (due to applied gate to source voltage) is much
larger than the lateral channel electric field (due to applied drain to source voltage). In
such a case (gradual channel approximation), the physics of transistor operation can be
partitioned into two independent portions, i.e. gate-controlled charge formation in the
channel, and drain-controlled charge transport. The threshold voltage VT, at which the
9
device turns on, is dependent only on the gate voltage and is independent of the drain
voltage. Application of the gate voltage lowers a potential barrier near the source and
allows electrons to flow from source to drain. The sub-threshold swing is a measure of
how sharply the drain current increases as a function of gate voltage during switching
from 0V to VT. It is measured in mV/dec - mV of incremental gate voltage required to
change the drain current by one decade. Under normal transistor operation the
fundamental thermodynamics of Fermi-Dirac carrier statistics, constrains the sub-
threshold swing to be greater than 'kt/q' (or 60 mV/decade) at room temperature.
2.1.2 Short Channel Effects
The gradual channel approximation is just a simplification of the complicated two-
dimensional (2-D) electrostatics in the MOSFET channel. While the simplification
holds in long channel devices, as the gate length is reduced, the drain influence
becomes stronger. As a result, it becomes harder for the gate to control the source
barrier and turn off the channel.
The 2-D effects are manifested in various ways:
1) Reduction in threshold voltage with shrinking gate length (VT roll-off)
2) VT reduction with increasing drain voltage (drain induced barrier lowering – DIBL)
3) Degraded sub-threshold swing.
Collectively, these phenomena are known as ‘short channel effects (SCE)’ and they
tend to increase the off-state static leakage power. Thus far, device designers have
10
tried to suppress SCE in short gate length devices by a number of methods. Each of
these approaches comes at a cost which degrades transistor performance (speed) and
introduces a new static leakage mechanism. Some of the important techniques and
their tradeoffs are described below:
A. Thinning Effective Oxide Thickness (EOT)
In order to suppress short channel effects, it is desirable to increase the electrostatic
control of the gate over the channel. This can be achieved simply by going to thinner
gate oxides. However, as the gate oxide gets very thin, quantum mechanical tunneling
allows a gate leakage component of current to flow. In the direct tunneling regime,
encountered for oxides thinner than about 3 nm, the gate leakage current increases
dramatically (~3X for every 1A of thickness reduction). The gate leakage can increase
standby power as well as compromise proper logic gate operation [2.2]. Many people
have proposed replacing the silicon dioxide (SiO2) with higher permittivity (high-k)
gate dielectrics [2.3] such as zirconia (ZrO2) or hafnia (HfO2). These enable high gate
capacitance with physically thick insulators through which tunneling is low. However,
the introduction of such new gate-stack materials without the accompanying
degradation of mobility and reliability is very challenging and remains an area of
intensive ongoing research. Fig. 2.2 illustrates some of the challenges associated with
introducing high-k gate dielectric stacks.
11
Fig. 2.1. Schematic of the bulk transistor identifying the various problems faced in scaling.
Fig. 2.2. Schematic illustrating the problems associated with scaling the gate oxide and moving to high-k dielectrics.
From Saito et al, IEEE IEDM (2003)
12
B. Increasing The Channel Doping
Increasing the channel doping helps in terminating the electric field lines, which
originate from the drain and propagate towards the source. In modern bulk MOSFETs,
the channel doping is tailored to have complicated vertical and lateral profiles (super-
halo doping) [2.4] so as to minimize the impact of gate length variations on the short
channel effects. However, as the doping density in the channel is increased for SCE
suppression, the carrier mobility is degraded due to increased scattering from the
ionized dopant atoms. Besides, the sub-threshold swing gets worse due to higher
depletion capacitance that ‘steals’ away part of the gate voltage from the surface
potential. For very high channel doping near the source/drain extensions, another
component of static leakage, band-to-band tunneling, becomes important. Finally, as
the channel volume reduces in extremely scaled transistors, the random placement of
discrete dopant atoms cause stochastic inter-device variations [2.5].
C. Reducing S-D Junction Depths
Lowering the source/drain junction depths (especially near the gate edge, where the
source/drain regions are called ‘extensions’) reduces the drain coupling to the source
barrier. However, as the source/drain junction depths get shallow, their doping must be
increased so as to keep the sheet resistance constant. Solid solubility of dopants puts
an upper limit (~1020 cm-3) on the doping density. Therefore, further reduction in
13
junction depth causes an increase in the series resistance encountered in accessing the
channel. Also, from a technological point of view, it becomes difficult to form ultra-
shallow junctions that remain abrupt after the annealing steps needed to activate the
dopants and achieve low resistivity [2.6]. The formation of abrupt S-D junctions also
leads to an increase in the band-to-band tunneling leakage component. All these
factors degrade the overall transistor performance.
As a result of these (and other) problems, it is becoming clear that new materials
and/or structures will be needed to supplement or even replace the conventional bulk
MOSFET in future technology generations.
2.2 Nano-engineering The Device Structure For Better
Electrostatic Control
2.2.1 Partially-Depleted SOI MOSFETs
In the partially depleted silicon on insulator (PD SOI) transistor, shown schematically
in Fig. 2.3, a layer of insulating silicon dioxide separates the upper device-containing
film and the rest of the bulk Si substrate. The upper Si film is relatively thick (~100
nm or more) and is doped in the same way as a corresponding bulk transistor having
similar geometry. In the off-state condition, with zero voltage applied on the gate
14
electrode, the maximum depletion width underneath the gate oxide is less than the Si
film thickness. The lower part of the partially depleted layer has a quasi-neutral region
in the body which is typically left un-contacted. The potential of this floating Si region
is determined dynamically by capacitive coupling to the various electrodes and in
steady state, by a balance of forward and reverse biased currents to the source and
drain junctions. This leads to a variety of floating body effects such as the parasitic
bipolar kink effect as well as history-dependent threshold voltage [2.7]. The main
advantage of the PD SOI device is somewhat higher speed and lower leakage due to
reduced source and drain area junction capacitances. The floating body effects can be
mitigated using ion implantation [2.8] or by placing a body contact [2.9]. By clever
circuit design, these history-dependent effects can actually be used for increased speed
[2.10]. PD SOI technology has been successfully ported from research into high
volume manufacturing [2.11]. However, from a static leakage and electrostatic
scalability perspective, the PD SOI transistor looks the same as a bulk FET. It may
therefore not be sufficient to prolong device scaling beyond the realm of what can be
achieved with well-designed bulk FETs.
2.2.2 Fully-Depleted SOI MOSFETs
If the top silicon film thickness of the PD SOI device is reduced, eventually the entire
Si body beneath the gate is depleted at zero applied gate bias. This kind of device is
called a fully depleted SOI (FD SOI) transistor [2.12]. It has also been referred to as
15
the ‘depleted substrate transistor’ [2.13] in the published literature. A schematic of an
FD SOI FET is shown in Fig. 2.4. The film thickness below which the full-depletion
condition occurs depends upon (the square root of) the body doping. By eliminating
the quasi-neutral floating body, the kink effect and history-dependent behavior is
strongly suppressed. More important, the short channel effect control in the FD SOI
device is potentially superior to those in the bulk/PD SOI transistors. Smaller vertical
depletion widths improve the electrostatic gate control in any FET. In bulk/PD SOI
FETs, the small vertical depletion width is achieved by using high channel doping.
However, the use of very high channel doping has deleterious effects on transistor
performance in terms of degraded sub-threshold swing, reduced mobility, and
enhanced band-to-band tunneling at the drain. In FD SOI transistors, the vertical
depletion width can be controlled by the body thickness without requiring any channel
doping. This improves carrier transport since the mobility is enhanced, both due to
lower ionized impurity scattering, as well as due to lower vertical electric field for the
same channel carrier concentration. Furthermore, if the buried oxide is thick compared
to the Si body thickness and the gate oxide thickness, the long channel sub-threshold
swing approaches the ideal value of 60 mV/dec. at room temperature. However, a
thick buried oxide can potentially degrade the short channel performance. This is due
to the effect of fringing electric field lines originating at the drain, going through the
buried oxide, and lowering the barrier at the source to channel current. This is similar
to DIBL, but occurs through the buried oxide. One way to reduce this unwanted drain
action is to have a thin buried oxide so as to terminate most of the drain electric field
16
Fig. 2.3. Schematic of the Partially Depleted (PD) SOI structure.
Fig. 2.4. Schematic of the Fully Depleted (FD) SOI structure.
GateGate
Silicon Substrate
Source Drain
TBOX
Si
SiO2
SOI
GateGate
Silicon Substrate
Source Drain
TBOX
Si
SiO2
SOI
Fig. 2.5. Schematic of the Double Gate (DG) MOSFET.
17
lines at the back substrate. This is done at the expense of degraded sub-threshold
swing due to the capacitive divider between the gate, body and back substrate.
2.2.3 Multi-Gate (Double-Gate, Tri-Gate, Surround-Gate) MOSFETs
Multi-gate FETs in the FD-operation allow much better control of short channel
effects than single gate FD-SOI FETs. This is because of tight capacitive coupling of
the gates to the device channel region from more than one direction. The fundamental
electrostatic operation of all multi-gate FETs is very similar. The gate control grows
stronger as we go from double-gate (Fig. 2.5) to tri-gate (Fig. 2.6) to surround-gate
(Fig. 2.7) FETs by virtue of increased coupling. As an example, the working principle
of a DG-FET is described below.
The double-gate FET can be thought of as an enhanced version of an FD SOI
transistor with a very thin buried oxide (as thick as the gate oxide). Only now, the
back substrate is heavily doped and electrically connected to the top gate. Since there
is no capacitive potential division between the top and bottom gate, i.e. both of them
drive the substrate together, the gate to substrate coupling is perfect and the sub-
threshold swing for a well- behaved device is identically 60 mV/dec. In addition, the
short channel effect control is very good by virtue of a thin fully depleted body and
gate shielding of drain electric field lines from both sides. Due to the action of two
gates, the device can now be scaled to shorter gate lengths for the same body (and
oxide) thickness. Since the two gates and thin body are sufficient to suppress short
18
Fig. 2.6. Schematic of the Tri-Gate (TG) MOSFET.
Fig. 2.7. Schematic of the Surround-Gate (SG) MOSFET.
Fig. 2.8 (a). Schematic of the Vertical MOSFET
19
channel effects, the body is left undoped. This improves channel carrier transport due
to increased mobility resulting from lesser ionized impurity scattering and lower
vertical electric field. In addition, the undoped body is more immune to discrete
dopant fluctuation effects. There have been a number of experimental implementations
of research DG FETs with different orientations, vertical (Fig. 2.8(a)) [2.14], fin-type
(Fig. 2.8(b)) [2.15] and planar (Fig. 2.8(c)) [2.16]. In tri-gate and surround-gate MOS
transistors, crystal orientation effects could play an important role, as the carrier
transport occurs along various orientations.
2.3 Nano-engineering The Material For Enhanced Carrier
Transport
2.3.1 Impact Of Mobility On The Drive Current In Nanoscale
MOSFETs
It is expected that ballistic transport [2.17], where carriers have no scattering in the
channel, can be realized in extremely short-channel MOSFETs with gate length
<10nm. Thus, by modifying full ballistic motion by considering only a small number
of scattering events, quasi-ballistic transport models have been proposed to describe
the current drive in nanoscale MOSFETs [2.18, 2.19]. Fig. 2.9(a) and (b) illustrate the
20
Fig. 2.8 (b). Schematic of the fin-FET.
Fig. 2.8 (c). Schematic of the planar multi-gate FET.
Fig. 2.9. Factors that dominate the current drive in (a) the classical drift model and (b) the quasi-ballistic model. [2.17-2.19]
21
factors that dominate current drive in the classical drift model and the quasi-ballistic
model, respectively. In both models, the drive current is expressed as a product of the
surface carrier concentration and the velocity near the source region. Since the surface
carrier concentration is constant under fixed values of gate insulator thickness,
threshold voltage and gate voltage, an increase in the carrier velocity near the source
region is needed to enhance the drive current.
In the drift model, the velocity near the source region is strongly affected under non-
stationary transport by the low-field mobility near the source region, while the
velocity near the source region in the quasi-ballistic model is determined by the
injection velocity from the source and the back-scattering rate into the source. Both
these factors are also strongly related to the low-field mobility near the source region.
As a consequence, both the models predict an enhancement in the drive current of
nanoscale MOSFETs by increasing the low-field mobility near the source region.
There are several different approaches to enhance the carrier transport in future
MOSFETs to obtain higher drive currents. Some of the recent approaches use a
combination of novel high mobility channel materials [2.20], incorporating strain into
the channel (at the wafer level [2.21], through novel processes [2.22] or at the package
level [2.23]), finding optimal substrate/channel orientations [2.24] or a combination of
all of the above.
We will now briefly review some of these mobility enhancement techniques with an
emphasis on novel channel materials and strain.
22
2.3.2 Transport In Strained Si
A. NMOS
Fig. 2.10 shows the equi-energy surfaces of inversion layer electrons and the two-
dimensional sub-band structure projected on a (100) surface. The conduction band in
Si is composed of six equivalent valleys. However, in inversion layers, due to two-
dimensional quantization, these six valleys are split into two-fold valleys located at a
central position in k-space and four-fold valleys located along the kx and ky axes.
Three-dimensional electrons have anisotropy in the effective mass. Each valley has a
light transverse mass (mt = 0.19m0) and heavy longitudinal mass (ml = 0.916m0),
where m0 is the electron mass in free space. As a result, the 2-fold degenerate valleys
have an effective mass mt parallel to the MOS interface and an effective mass ml
perpendicular to the interface. The 4-fold valleys have an effective mass of mt
perpendicular to the MOS interface and effective masses ml and mt parallel to the
MOS interface.
The anisotropy in effective mass leads to several differences in the transport properties
of the 2-fold and 4-fold valleys. For example, the mobility of electrons in the 2-fold
valleys is higher than in the 4-fold valleys. Also, since the sub-band energy level is
determined by the effective mass perpendicular to the surface, the sub-band energy of
the 2-fold valleys is lower than the 4-fold valleys.
Fig. 2.11 schematically shows the effect of tensile strain on the sub-band structure of
23
Si [2.25]. When tensile strain parallel to the interface (or compressive strain
perpendicular to the interface) is applied to Si MOSFETs, the conduction band edge in
the 4-fold valleys becomes higher than in the 2-fold valleys and this splitting is added
to the sub-band energy difference caused by surface quantization [2.26-2.29]. This
leads to an increase in the mobility due to an increased occupancy in the 2-fold
valleys, which have a lower transport mass. Further, the energy level splitting causes a
suppression of the intervalley scattering between the 2-fold and 4-fold valleys. Fig.
2.12(a) shows the mobility enhancement factor of biaxially strained-Si n-MOSFETs
grown on relaxed SiGe substrates compared to conventional (unstrained) Si FETs. A
maximum enhancement factor of roughly twice is obtained both theoretically and
experimentally [2.30-2.44]. Fig. 2.12(b) shows the E-field dependence of the electron
mobility in strained and unstrained Si MOSFETs. In the high e-field regime, almost all
the electrons occupy the 2-fold valleys even without any strain, because of quantum
confinement effects. However, there is still a uniform mobility enhancement, which is
independent of the effective field, suggesting that the surface roughness scattering in
strained-Si FETs may be reduced compared to unstrained Si FETs [2.45].
B. PMOS
The impact of strain (uni-axial and bi-axial) on hole mobility is more complicated than
electrons and the physical mechanisms have not yet been fully understood [2.46-2.49].
Fig. 2.13 shows the results of theoretical calculations of the three-dimensional Si
24
Fig. 2.10. Equi-energy surfaces of inversion layer electrons and the 2-D sub-band structure projected on a (100) surface.
Fig. 2.11. Effect of tensile strain on the sub-band structure of Si (conduction band).
Fig. 2.12 (a). Electron mobility enhancement factor of biaxially strained-Si n-MOSFETs grown on relaxed SiGe substrates.
Fig. 2.12 (b). E-field dependence of mobility in biaxially strained-Si compared to unstrained Si n-MOSFETs. [2.44]
25
valence band structure near the Γ-point with uni-axial compressive strain and bi-axial
tensile strain [2.50]. Here, the MOSFET channel direction is assumed to be parallel to
<110>, the strain directions are parallel to (001) surface for the bi-axial strain and
<110> channel direction for the uni-axial strain, respectively. Application of strain
splits the normally degenerate light hole and heavy hole bands, causing the light hole
band to shift upwards to the top of the valence band. Further, the curvature of the
bands is modified, changing the hole effective mass parallel and perpendicular to the
interface.
Fig. 2.14(a) shows the experimental results and theoretical predictions of the hole
mobility enhancement factor (at low Eeff) of bi-axial Si p-MOSFETs fabricated on
relaxed SiGe substrates [2.31-2.41, 2.51-2.59]. An enhancement factor of about 2X
can be obtained with Ge content higher than 30%. However, as shown in Fig. 2.14(b),
the hole mobility enhancement factor decreases at higher Eeff. It has been found
experimentally (Fig. 2.15), that when uni-axial compressive strain is applied along the
<110> direction to p-MOS channels parallel to <110>, the hole mobility enhancement
is higher with rather small strain and is not significantly degraded with increasing
Eeff. These complicated dependencies of the hole mobility on strain are summarized
in Fig. 2.16, which is obtained from theoretical calculations.
The hole mobility enhancement by bi-axial strain is mainly attributed to the splitting
of the light hole and heavy hole bands, which causes an increase in mobility at low
Eeff [2.48-2.50, 2.60-2.62]. The contribution due to the change in effective mass is not
significant. At high Eeff, due to strong quantization, the band splitting between the
26
Fig. 2.13. Theoretical calculations of the 3-D Si valence band structure near the Γ-point with uni-axial compressive strain and bi-axial tensile strain. [2.50]
Fig. 2.14 (a). Hole mobility enhancement factor of biaxially strained-Si p-MOSFETs grown on relaxed SiGe substrates.
Fig. 2.15. E-field dependence of hole mobility enhancements in uni-axial and bi-axial strained-Si compared to unstrained Si p-MOSFETs. [2.48]
Fig. 2.14 (b). E-field dependence of mobility in biaxially strained-Si compared to unstrained Si p-MOSFETs. [2.56]
27
light hole and heavy hole bands decreases because the light hole band has a lower
effective mass perpendicular to the interface. This causes the hole mobility
enhancement to degrade at higher Eeff for bi-axially strained Si. For uni-axial strain,
in addition to the above mobility enhancement factors, the effective mass
perpendicular to the interface in the light hole band becomes heavier than the heavy
hole band (Fig. 2.13) [2.48-2.50, 2.63]. Thus, the band splitting is further enhanced at
high Eeff due to strong quantization resulting in most of the carriers to occupy the
light hole band with the lower transport mass. Thus, for uni-axially strained-Si
MOSFETs the hole mobility enhancement is large and retained even at higher Eeff.
C. Implementing Strain Into Si-MOSFETs
Global straining techniques can be used to introduce large bi-axial tensile strain in Si
MOSFETs (Fig. 2.17). Global strain can be implemented in any of the following
ways:
1) Epitaxially growing a strained-Si layer that is lattice matched to a relaxed SiGe
substrate [2.64-2.66].
2) Forming Strained-Si/relaxed-SiGe substrates on buried oxides (Strained-Si On
Insulator - SSOI) [2.65, 2.67, 2.68].
3) Bonding Strained-Si layers directly to oxides (Strained-Si Directly On Insulator -
SSDOI) [2.69-2.70].
Local straining techniques are more useful in introducing large uni-axial strain
28
Fig. 2.16. Dependencies of hole mobility enhancements on uni-axial and bi-axial strain (compressive and tensile). [2.50]
Fig. 2.17. Different global straining techniques to introduce large bi-axial strain in Si MOSFETs.
Fig. 2.18. Different local straining techniques to introduce large strain in Si MOSFETs.
29
(compressive or tensile) in Si MOSFETs (Fig. 2.18). Local strain can be implemented
by a combination of any of the following ways:
1) Epitaxially growing SiGe selectively in the source/drain regions, which have been
etched off towards the substrate (uni-axial compressive strain). This technique is used
for PMOSFETs [2.46, 2.47, 2.71].
2) Using a deposited SiN capping layer with intrinsic stress. (uni-axial tensile or
compressive strain). This technique can be used for NMOS or PMOS [2.72-2.74].
3) Using local strain from isolation techniques like shallow trench isolation [2.75],
gate electrodes [2.76], silicide regions [2.77] etc.
2.3.3 Transport in Germanium
Germanium and Silicon belong to the same group IV in the periodic table. Some of the
physical and electrical properties of Ge (Table. 2.1) along with the bandstructure are
compared with Si. As seen in Fig.2.19, Ge has a lighter transverse effective mass (mt)
for electrons and also a lighter effective mass in the heavy hole (mhh) and light hole
(mlh) bands compared to Si. As discussed earlier in this section, the lighter effective
mass in Ge could potentially allow us to obtain higher carrier mobility and drive
currents in Ge MOSFETs compared to Si MOSFETs.
A. NMOS
30
Table 2.1. Physical and electrical properties of Ge compared to Si
Fig. 2.19. Conduction and Valence band structure of Ge and Si.
31
As shown in Fig. 2.20(a) and (b), while the lowest valley for Si is the 6-fold
symmetric X-valley along [100], the lowest conduction valley for Ge is the 8-fold
symmetric L-valley along [111]. Thus, for both materials, the drive current in
MOSFETs will depend strongly on the surface and channel orientation [2.78-2.82].
Table 2.2(a) and (b) can be used to extract the effective mass for electrons in
MOSFETs fabricated along different crystal orientations for X-valley and L-valley
semiconductors.
From ballistic transport simulations [2.78] it has been found that due to their higher
injection velocity, Si (100) and Ge (111) provide the highest drive currents at the same
inversion charge (Fig. 2.21). Even under ballistic transport conditions, Ge (111) can
provide 60% higher drive current than Si (100). Further, due to strong quantum
confinement effects (either due to high E-fields in bulk MOSFETs or thinner body
thicknesses in FD-SOI/GOI structures), the valley population can change and modify
the injection velocity as well as the drive current. As seen from Fig. 2.22 and Fig.
2.23, for a constant inversion charge, as we go to thinner T-SOI/GOI thicknesses, an
enhancement of 42% can be obtained for TSOI<3nm and 160% for TGOI<1nm. This
can be easily understood in terms of the increased occupancy of the lowest sub-band,
which has the lowest transport effective mass leading to a higher injection velocity
(Fig. 2.24). The assumption of constant inversion charge is a big one. The quantum
capacitance due to the reduced density of states needs to be taken into account. To
evaluate the drive current enhancement, we would like to compare devices at a fixed
leakage current and supply voltage. Fig. 2.25 shows the Id-Vg characteristics for the
32
Fig. 2.20 (a). The lowest valley for silicon is 6-fold symmetric and (b) the lowest valley for germanium is 8-fold symmetric.
Fig. 2.21. Drain saturation current of Si MOSFETs on (100) surface andGe MOSFETs on (100) and (111) surfaces as a function of NS. [2.78]
Fig. 2.22. Saturation current as a function of TSOI. [2.78]
33
Table 2.2 (a) and (b) Effective mass of electrons in different valleys for different surface and channel orientations. [2.80]
Fig. 2.23. Saturation current as a function of TGOI. [2.78]
a
b
34
different materials and orientations in the ultimate limit of zero EOT. In this extreme
situation, the gate capacitance (and consequently, the inversion charge) is determined
entirely by the quantum capacitance. In this situation, Ge (111) with a TGOI of 3nm
shows the highest drive current due to the best tradeoff between injection velocity and
quantum capacitance.
Though several theoretical calculations predict a significant enhancement in the
electron mobility in Ge n-MOSFETs, most recent experimental results have reported a
very poor Ge n-MOS performance (Fig. 2.26) [2.83, 2.84]. Since there is no stable
high quality native oxide on Ge, the poor performance of Ge n-MOS is usually
attributed to practical and technological challenges, primarily concerning the poor Ge
high-k insulator interface. Experimentally verifying electron mobility and drive
current enhancement in Ge MOSFETs is currently a very active research area.
B. PMOS
In contrast to Ge n-MOSFETs, there have been several encouraging experimental
results demonstrating hole mobility enhancements in Ge p-MOSFETs.
In [2.85], germanium p-MOSFETs with a thin gate stack of Ge oxy-nitride and low
temperature oxide (LTO) were fabricated on bulk Ge substrates without a Si capping
layer. The fabricated devices showed a 2X higher transconductance and ~40% hole
mobility enhancement over the Si control with a thermally grown SiO2 dielectric, as
well as good sub-threshold characteristics (<100mV/dec). See Fig. 2.27(a), (b) and(c).
35
Fig. 2.24. Electron occupancy of the 1st ladder and lowest sub-band as a function of TSOI and TGOI. [[2.78]
Fig. 2.25. Ultimate Isat-Vg characteristics in the limit of zero nm EOT. [2.78].
Fig. 2.26. Typical Is-Vg characteristics for Ge n-MOSFETs, reflecting the poor drive currents obtained experimentally.
36
Fig. 2.27 (a). Is-Vg characteristics (at low Vd bias) for the Ge PMOS, showing good sub-threshold behavior.
Fig. 2.27 (b). Transconductance of the Ge PFET compared to the Si control.
Fig. 2.27 (c). The effective mobility extracted on the Ge PFET compared to the Si control.
37
Bulk Ge p-MOSFETs were fabricated on (100) substrates by using RTP nitridation in
ammonia followed by RTP HfO2 deposition as the gate dielectric [2.86]. The devices
show an enhancement of 1.4-1.8X in hole mobility compared to the silicon control.
The devices also show good sub-threshold behavior (~80mV/dec). See Fig. 2.28 (a)
and (b).
High quality GOI p-MOSFETs with Al2O3 gate dielectrics have also been
demonstrated [2.87]. The GOI devices show 2.5X increase in hole mobility over Si
control and 1.3X enhancement over the SiO2/Si universal mobility (Fig. 2.29).
C. Introduction to Strained-SiGe alloys
The effect of straining Ge or SiGe is qualitatively similar to silicon - the strain causes
a large change in the bandstructure (Fig. 2.30). For compressively strained SiGe, the
valence band splits, causing the heavy hole band to move upward [2.88-2.90]. Further,
the in-plane effective mass for heavy holes decreases and the band warping reduces
(Fig. 2.31). For large strain, the heavy hole band can have a lower in-plane mass than
the light hole band. Thus, strain can greatly enhance the hole mobility in SiGe alloys,
leading to very high drive currents in p-MOSFETs. Several experimental results on
strained-SiGe alloys [2.91-2.95] have demonstrated upto 10X peak mobility
enhancement of holes compared to the silicon universal mobility curve.
The very high channel mobility in strained-Ge combined with its ease of integration
into a conventional Si substrate technology, makes it a very attractive material for
38
Fig. 2.28 (a). The Is-Vg characteristics for the Ge p-MOSFETs, showing good sub-threshold behavior.
Fig. 2.28 (b). The extracted effective mobility for the bulk G p-MOSFETS compared to the Si control and Si universal.
Fig. 2.29. The hole mobility of Ge, SiGe and Si p-FETs with Al2O3 dielectric compared to Si universal curve
39
Fig. 2.30. The bandgap of (a) strained Si and (b) strained Ge on Si(1-x)Gex as function of underlying substrate Ge concentration (x). [2.88-2.89]
Fig. 2.31 (a) and (b). The contour lines of energy for the first valence band of (a) unstrained Si and (b) strained Si0.7Ge0.3 in the plane with kz=0 (vertical direction parallel to the plane).
a b
a b
40
future nanoscale MOSFETs.
In the next chapter we will discuss the electrical properties, of Si(1-x)Gex alloys going
from Si(x=0) all the way to Ge(x=1) and the effect of strain on their bandstructure,
carrier effective mass and mobility. We will also look at the material properties,
growth technologies and state-of-the-art experimental research results on high
mobility p-MOSFETs utilizing strained-SiGe layers.
41
Chapter 3
Strained And Relaxed Silicon-Germanium Si(1-
x)Ge(x) Alloys: Going From Silicon (x=0) To
Germanium (x=1)
The very high channel mobility in strained-SiGe combined with its ease of integration
into a conventional Si substrate technology, makes it a very attractive material for
future nanoscale MOSFETs. In this chapter, we look at the electrical and material
properties, the growth technologies, and some of the recent experimental results
obtained on strained-SiGe MOSFETs. We start by reviewing the electrical properties,
like bandstructure, effective mass and carrier mobility, of Si(1-x)Gex alloys going
from Si(x=0) all the way to Ge(x=1) and the effect of strain on the alloys. We then
discuss some of the key material properties and growth technologies, which are
currently being researched, to enable the use of strained-SiGe alloys as high mobility
channel materials in nanoscale MOSFETs. Finally, we look at some of the state-of-
the-art experimental research results on p-MOSFETs utilizing strained-SiGe layers
with high Ge fraction (>0.5) for hole mobility enhancement.
42
3.1 Bandstructure And Electrical Properties Of SiGe Alloys
Using nonlocal empirical pseudopotentials, the band structures, effective masses and
shear deformation potentials of Si, Ge and SiGe alloys are computed by Fischetti and
Laux in [3.1]. Fitting the theoretical results to experimental data on the phonon-limited
carrier mobilities in bulk Si and Ge, the carrier mobilities were calculated as a function
of strain. Mobility degradation due to alloy scattering was included for the SiGe
alloys.
3.1.1 Bandstructure
The energy shifts at symmetry points are shown in Figs. 3.1-3.3. The case of Si and
Ge strained along the [001] direction are shown in Fig. 3.1(a) and (b) respectively. The
‘absolute’ energy scale has been fixed by arbitrarily setting the energy of the valence
band maximum to zero. The lines in Fig. 3.2 illustrate the calculated energy shifts for
the relaxed Si(1-x)Ge(x) alloy. Note, that there is satisfactory agreement with
experimental data. In particular there is good agreement with the ∆-to-L crossover of
the conduction band minimum at a Ge mole fraction of about 85%. The two cases of
Si(1-x)Ge(x) alloys grown on <001> Si (biaxial compressive) and <001> Ge
substrates (biaxial tensile) are illustrated in Fig. 3.3(a) and (b) respectively. The
bandgaps are slightly underestimated compared to previous work by Reiger and Vogl
43
Fig. 3.1. Calculated valence and conduction band shifts in (a) Si and (b) Ge as a function of in-plane biaxial strain. [3.1]
Fig. 3.2. Valence and conduction band shifts for relaxed Si(1-x)Ge(x) alloys as a function of Ge mole fraction. [3.1]
44
(Fig. 3.4 (a) and (b)) [3.2]. Note that for alloys grown on <001> Si, the alloys remain
“Si-like” with a Γ-∆ indirect gap, even in the case of pure Ge. However, for alloys
grown on Ge substrates, the gap crosses over from Γ-∆ to Γ-L at a Ge fraction of
about 85%.
For a more complete picture of the band structure of biaxially strained-SiGe alloys
grown on Si or Ge, we need the relative band-offsets and heterojunction
discontinuities at the interface. In [3.3], the structural and electronic properties of
pseudomorphic Si/Ge interfaces are calculated by Van de Walle and Martin. The
layers are strained, such that, the lattice spacing parallel to the interface is equal on
both sides. Fig. 3.5 shows the valence-band and conduction-band lineups for the
extreme cases in the [001] orientation: Fig. 3.5(a) for a heterojunction between cubic
Si and strained Ge (a=0.543 nm) and Fig. 3.5(b) for a heterojunction between cubic
Ge and strained Si (a=0.565nm). The gaps are predicted to be accurate to within
0.1eV. Fig. 3.6 shows the offsets for Si(1-x)Gex alloys grown on Si (001) substrates.
The distance between the top of the valence band and the lowest conduction band tells
us what the bandgap is in the alloy with Ge fraction x, appropriately strained to match
a Si (001) substrate. Fig. 3.7 shows results for an alloy layer deposited on a Ge
substrate. Here, we notice that in the range 0.8<x<1, the alloy bandgap is larger than
the Ge bandgap, which leads to a type-I (straddling) line up, with the Ge gap
completely inside the alloy gap.
3.1.2 Effective Mass
45
Fig. 3.3 (a) and (b). Valence and conduction band shifts for (a) Si(1-x)Ge(x) alloys grown on a <001> Si substrate and (b) Si(1-x)Ge(x) alloys grown on a <001> Ge substrate. [3.1]
Fig. 3.4 (a). Calculated fundamental gaps of (100)-strained Si(1-x)Ge(x) alloys (active material) grown pseudomorphically on unstrained Si(1-y)Ge(y) alloys (substrate material). [3.2]
46
Fig. 3.4 (b). Comparison of the theoretical and experimental data for the fundamental gap in unstrained and strained Si(1-x)Ge(x) alloys. [3.2]
Fig. 3.5. Band structure discontinuities: Relative position of the Si and Ge valence and conduction bands. Band splittings result from strain and spin-orbit splittings in the materials. [3.3]
Fig. 3.6. Valence and conduction bands in strained Si(1-x)Ge(x) alloys matched to a Si(001) substrate. [3.3]
47
The values of effective masses computed (open symbols) at significant symmetry
points are shown in Fig. 3.8-3.10. They are given in units of the free electron mass m0,
and are compared to experimental data (solid symbols).
For electrons, the effective mass is simply the ‘curvature’ band-edge mass obtained
from the band structure results. For the ∆ valleys, the transverse and longitudinal
masses for both, the 2-fold [001] minima and the 4-fold [100] minima are presented.
Similar considerations are used for the L-valleys, which must also be characterized by
two characteristic masses: along the ]011[_
direction in the xy-plane and
]211[_
direction, normal to the longitudinal and transverse axis.
For the holes, the large anisotropy and non-parabolicity of the valence bands prevents
a simple definition of ‘curvature’ mass. Instead, the desity-of-states (DOS) effective
mass at the thermal energy Eth=3/2kBT (where kB is the Boltzmann constant and T the
lattice temperature) are plotted. The strong anisotropic shape of the strained equi-
energy surfaces in the valence bands has been discussed at length in [3.4, 3.5]. In Fig.
3.11 (a) and (b), the hole band-edge masses for the top most valence bands for Si(1-
x)Ge(x) alloys conformal to both <001> Si and Ge substrates. The strong reduction of
the effective masses is evident in all cases.
3.1.3 Mobility
After determining the bandstructure, effective mass and deformation potentials, we
48
Fig. 3.7. Valence and conduction bands in strained Si(1-x)Ge(x) alloys matched to a Ge(001) substrate. [3.1]
Fig. 3.8. Calculated electron curvature mass and hole density of states mass as a function of biaxial in-plane strain. [3.1]
49
Fig. 3.9. Electron and hole effective masses for relaxed SiGe. [3.1]
Fig. 3.10. Calculated electron and hole effective masses for compressive and tensile, biaxial strained SiGe. [3.1]
50
can now evaluate the low-field mobility in strained materials. We will start with a
discussion of strained-Si and strained-Ge and then move to the SiGe alloys.
Fig. 3.12 shows the electron and hole mobility at 300K for Si under strain in the [001]
direction. For biaxial tensile strain in the plane of the layer, the in-plane electron
mobility increases sharply. Electrons populate the two lower ∆ valleys along [001]
directions with lower conductivity mass. At low strain, the slight increase in
conductivity mass and the slight reduction in intervalley scattering (g-type process is
still strong) cancel each other and do not play a significant role. Higher values of
mobility can be obtained if the reduction in the f-type intervalley scattering reduces
strongly as the degeneracy of the 2-fold and 4-fold valleys is lifted. Under the same
conditions, the ‘out-of-plane’ mobility drops equally abruptly, since the conductivity
mass is now the higher longitudinal mass. Under strain of the opposite sign, the in-
plane mobility first decreases, due to electron population in the heavier 4-fold valleys.
But a subsequent reduction in the transverse mass in these valleys causes a reduction
of the scattering rates, due to lower density of states effective mass, and so the
mobility goes up slightly. The out-of-plane effective mobility, controlled by the
transverse mass, remains higher.
The hole mobility, on the other side, increases spectacularly for strain of either sign.
Indeed, the principal causes are the breaking of the degeneracy between the heavy-
hole (v2) and light-hole (v1) valence bands at Γ and the reduction of conductivity
mass. For biaxial tensile strain in the plane of the layer, the v1 band exhibits a much
higher energy level than the v2 band, while for the strain of opposite sign, the splitting
51
Fig. 3.11. Calculated band edge masses (in plane and out of plane) for the top most valence band in strained SiGe. [3.1]
Fig. 3.12. Calculated phonon limited electron and hole mobility in strained-Si. [3.1]
52
of these two bands remains comparable to kBT. In the former case, interband scattering
is reduced and the mobility increases.
Fig. 3.13 illustrates the case of Ge under the same conditions. The situation is
qualitatively similar, as far as the hole mobility in concerned. The electron mobility,
however, exhibits a noticeably more complicated behavior. For biaxial tensile strain,
electrons begin to populate the conduction states at Γ, for all but the smallest strain.
This results in a dramatic enhancement of the mobility, due to the decreasing in-plane
effective mass for the Γ valleys. For larger than a few percent biaxial strain, the direct
bandgap closes fast and the calculation results are no longer meaningful. For small
compressive in-plane strain, the electrons populate mainly the L valleys. But as the
energy separation between the L and ∆ (100) valleys shrinks, the larger intervalley
scattering causes the mobility to decrease. For large values of compressive biaxial
strain, the electrons occupy the ∆ (100) valleys. The mobility now saturates to a value
approximately equal to the mobility in the ∆-valleys of unstrained Ge (~1040 cm2/V-
s).
Now, in the case of SiGe alloys, it is very important to consider another scattering
process – alloy scattering. This process is usually assumed to be caused by the
disorder component of the crystal potential, left out by the ‘virtual crystal
approximation’ [3.6]. Fig. 3.14 shows the calculated electron and hole mobility for
relaxed SiGe alloys as a function of their Ge content. As seen in the figure, due to
alloy scattering, relaxed SiGe alloys do not exhibit mobility enhancement except for
very high Ge content (>0.85), where they start behaving like Ge.
53
Fig. 3.13. Calculated phonon limited electron and hole mobility in strained-Ge. [3.1]
Fig. 3.14. Calculated phonon limited electron and hole mobility in relaxed-SiGe. [3.1]
54
Fig. 3.15 and 3.16, show the electron and hole mobilities, in SiGe alloys grown on
<001> Si and <001> Ge substrates, respectively. The mobility enhancement expected
from the removal of the valley/band degeneracy and reduced effective mass is strongly
negated by alloy scattering, except for very high values of strain. In the case of
compressively strained SiGe grown on Si, we expect to start observing a hole mobility
advantage for Ge fractions >0.3 and very high (~25X) enhancements for layers with
high Ge fractions.
3.2 Growth Technologies For Strained And Relaxed SiGe
Alloys
3.2.1 Growth Of Strained-Si(1-x)Ge(x) Layers On Si
Si and Ge are completely miscible for a full range of composition with a lattice
mismatch of ~4.2%, which can be helpful for generating strain. When a thin film with
a larger lattice constant e.g. Si(1-x)Gex is carefully grown on a substrate with a
smaller lattice constant (e.g. Si), the film retains the in-plane lattice constant of the
substrate and is under a biaxial compressive strain (Fig. 3.17). As discussed in the
previous section, due to the valence band modification in strained Si(1-x)Ge(x) layers,
hole mobility can be greatly improved in this structure as compared to Si.
However, growing strained-SiGe on Si is not easy. Due to the buildup of strain in the
55
Fig. 3.15. Calculated phonon limited electron and hole mobility in compressive strained-SiGe on Si. [3.1]
Fig. 3.16. Calculated phonon limited electron and hole mobility in tensile strained-SiGe on Ge. [3.1]
56
layer, the Si(1-x)Ge(x) layer grown on a Si substrate can be relaxed if it is thicker than
a critical thickness (Fig. 3.18) [3.7]. The equilibrium critical thickness for a Si(1-
x)Ge(x) film grown on a bulk Si substrate is approximated by the expression: Tcritical ≈
1.7793y-1.2371nm (Fig. 3.19) [3.8]. The layers can be metastable for low temperature
growth conditions but will quickly relax if they are annealed at high temperatures to
reach thermal stability. The stressed Si(1-x)Ge(x) layer will then try to relax by
producing defects and dislocations in the lattice, which can relieve the strain and
degrade the layer quality. Each misfit dislocation segment can possess two threading
dislocation segments that extend to the wafer surface to satisfy the continuity of a
Burgers circuit in a crystal (Fig. 3.20) [3.9].
Initial strained-SiGe epitaxial results were reported using layers deposited by
Molecular Beam Epitaxy (MBE) [3.10, 3.11]. However, these days, typically, SiH4,
GeH4 (or their derivatives) are the most common gases used for the SiGe epitaxy by
CVD. The pressure and temperatures vary greatly between reactors. For example,
pressures with values as low as 10-5 torr [3.12] and upto 1 atm have been reported. The
growth temperature depends on the pressure and also the Ge content, in order to
prevent defect formation or surface roughening due to 3-D island growth, but is
normally in the range of 500oC - 600oC for layers with moderate Ge concentrations
(<0.5) [3.13]. As shown in Fig. 3.21, we have successfully grown a defect free SiGe
layer with Ge fraction of 0.3 in the ASM reactor at Stanford [3.14-3.16].
As discussed earlier, we would like to move towards strained SiGe layers with very
high Ge fractions on account of their significantly enhanced transport properties.
57
Fig. 3.17. Schematic illustrating biaxial strain created by lattice mismatch and epitaxial growth.
Fig. 3.18. Schematic illustrating defect-free strained growth and relaxed growth through misfit dislocations.
Fig. 3.19. Stable and metastable critical thickness plots
as a function of Ge fraction for strained Si(1-x)Ge(x) grown on Si substrates. [3.7]
58
However, the growth of defect-free strained SiGe alloys with very high Ge
concentrations (>0.5) is far more challenging because the dislocation generation is
preceded by the formation of coherently strained Ge islands (Fig. 3.22) [3.17] and
consequently, the layer has a very rough surface (Fig. 3.23). For higher Ge
concentrations, the 3-D island formation due to stress driven surface diffusion can be
mitigated by depositions done at fairly low temperatures (<400oC) to achieve good
planarity [3.14-3.16]. To date, most strained-Ge growth on Si has been done on MBE
or UHVCVD systems because of the challenges in achieving low impurity
concentrations at low temperatures in LPCVD systems. However, as seen in Fig. 3.24,
we have successfully demonstrated LPCVD growth of defect-free ultra-thin (~2nm),
strained-Ge on Si [3.14-3.16] using germane as the source gas.
3.2.2 Strained Si(1-x) Ge(x) On Relaxed Si(1-y)Ge(y) Virtual
Substrates
As discussed in the previous section, the growth of Ge layers with very high Ge
fractions directly on Si is extremely challenging due to the stress driven formation of
3-D islands. One of the way to control the strain in high Ge concentration Si(1-
x)Ge(x) layers is to grow them on a relaxed virtual substrate with a different Ge
concentration, Si(1-y)Ge(y). For x>y, the top layer is a compressive biaxially strained
SiGe alloy and for x<y, the layer is a tensile biaxially strained SiGe alloy. Using this
technique, we can potentially go from the extreme case of y=0 and x=1, where we get
59
Fig. 3.20. Misfit / Threading arm dislocation geometries for capped and uncapped Si(1-x)Ge(x) layers grown on Si.
Fig. 3.21. Defect free strained Si0.6Ge0.3 layer on Si (with Si cap) grown in the ASM reactor at Stanford.
Fig. 3.22. Coherently strained Ge nanoclusters on Si showing pyramids and domes. [3.10]
60
compressively strained Ge on relaxed Si to the case of y=1 and x=0, where we get
tensile strained Si on relaxed Ge. We will now describe some techniques to grow
virtual substrates.
Early attempts to create virtual substrates employed a thick uniform Si(1-y)Ge(y)
deposited directly onto Si wafers. These buffers were not fully relaxed and contained
many threading dislocations. The high threading dislocation densities (>108cm-2) in
thick relaxed layers may be reduced by increasing the Ge concentration, in steps (step
grading) or linearly, in buffer layers (Fig. 3.25) [3.18-3.21] to finally achieve the
desired relaxed Si(1-y)Ge(y) concentration. The grading layers force the misfit
dislocation network to distribute along the graded layers, instead of all confined at the
Si(1-y)Ge(y) / Si interface, as in the case of uniform buffers. This reduces the
interaction between the misfits segments, where the interaction can produce threads
toward the surface, and a typical threading density of 1x105 cm-2 is commonly
reported. Since the dislocation glide is thermally activated, the highest velocities or
lowest defect densities are attained by growing at higher temperatures, typically
>750oC for Ge fraction < 0.5. A typical grading rate would be ~10%/micron [3.22].
This relaxed Si(1-y)Ge(y) on Si can now serve as a ‘virtual substrate’ (Fig. 3.26) for
the growth of a second strained Si(1-x)Ge(x) layer, which is lattice matched to the
Si(1-y)Ge(y) layer.
From the experiment discussed in [3.20-3.21], Fig. 3.27 shows two grown Ge graded
buffers. (Fig 3(a) and 3(b))Fig. 3.27(a) and (b) are at 600oC while the second is grown
61
Fig. 3.23. SiGe alloy under large compressive stress leads to surface roughness, which reduces the elastic energy at the expense of an increased surface energy.
Fig. 3.24. Defect-free, ultra-thin (2nm) 100% strained-Ge on Si, using germane as the source gas, grown in the ASM reactor at Stanford.
Fig. 3.25. Schematic cross-section of the graded SiGe layer technique to create a defect-free, relaxed SiGe virtual substrate. [3.19]
62
at about 800oC Fig. 3.27(c) and (d). It is clear from both cross-sectional TEMs, Figs.
3.27(a) and (c) show that there is a high density of dislocations in the Ge graded parts
of the structures but the thick constant composition Si(1-y)Ge(y) layers grown above
the graded regions are defect free. Many of the dislocations also thread down into the
Si substrate rather than up towards the surface. The high temperature during growth
produces faster growth rates, which allows a lower Ge gradient and also increases the
velocity of dislocations threading through the sample. Comparing the surface
morphology using scanning optical microscopy, Figs. 3.27(b) and 3(d) clearly
demonstrate the difference in surface roughness from the different grown
temperatures. Both wafers show the typical cross-hatch pattern along (110) shown by
all virtual substrates. The virtual substrates grown at higher temperature (800oC) were
of much better quality than those deposited at 600oC.
3.2.3 Forming SiGe-On-Insulator Substrates By The Ge
Condensation Technique
The combination of the high mobility Ge channel and ultra-thin GOI structure is
expected to improve device performance. Fig. 3.28 shows the process of Ge
condensation technique. A Si(1-x)Ge(x) with a low Ge fraction of 0.15 is grown on an
SOI substrate. Thermal oxidation is performed at a temperature lower than the melting
point of the SiGe alloy that is formed subsequently. During oxidation, Si is consumed
to form SiO2, but the Ge atoms are rejected into the substrate. By proper oxidation, the
63
Fig. 3.26. Typical cross-section of a relaxed-SiGe virtual substrate grown on a Si substrate using graded SiGe as the transition layer. [3.22]
Fig. 3.27. Graded SiGe buffer layers grown at 6000C (a) and (b), and 8000C (c) and (d). The high temperature buffer is better quality and has lower surface roughness. [3.20-3.21]
Fig. 3.28. Schematic illustrating the Ge condensation technique. [3.23]
64
total Ge in the layer is preserved. The Si and SiGe layer merge together as a result of
thermal diffusion, which results in an increase in the Ge fraction during oxidation as
the SGOI layer gets thinner. Local condensation can partially preserve the strain in the
resulting SiGe layer. The resulting GOI obtained in [3.23] was single crystal with the
same orientation as the original SOI substrate and a smooth interface (Fig. 3.29(a)).
The surface roughness was evaluated to be 0.4nm by AFM (Fig. 3.29(b)). The residual
Si fraction was found to be lower than the detection limit of Raman spectroscopy
(0.5%) and EELS (3%). The layer is still slightly defective and the strain is partially
relaxed by misfit dislocations and the plastic flow of the buried oxide. The GOI was
compressively strained with a strain of 1.1% estimated by Raman spectroscopy.
3.3 Current State-Of-The-Art Research On Strained-Ge p-
MOSFETs
3.3.1 Experimental Results
In this section, we will discuss some of the state-of-the-art-research research on high
mobility transistors fabricated on strained-SiGe alloys with very high Ge fractions.
SiGe based p-MOSFETs were fabricated on layers grown by low-energy PECVD
[3.24]. The heterostructure stack consisted of a strained SiGe (Ge=83%) alloy channel
grown on a graded relaxed SiGe(Ge=48%) buffer (Fig. 3.30). The Strained SiGe layer
65
Fig. 3.29. (a) Cross-sectional TEM of GOI by condensation technique and
(b) AFM image of the GOI layer with rms roughness of ~0.42nm. [3.23]
Fig. 3.30. Cross-section of the Si0.17Ge0.83 channel MOSFET. [3.24]
Fig. 3.31. Effective carrier mobility in the Si0.17Ge0.83 channel p-MOSFET as a function of E-field compared to Si universal curves. [3.24]
66
was 12.5 nm thick with a 5nm Si cap. The peak mobility at low field (0.1V/cm) was
~770cm2/V-s at 300K (Fig. 3.31). The mobility enhancement reduces at higher E-
fields due to conduction through the parasitic low mobility Si surface channel. The
effective hole mobility in the transistors was found to be ~4X enhanced compared to
the Si universal curve.
Strained-Ge p-MOSFETs, fabricated using a local condensation technique [3.25, 3.26]
applied to SiGe layer (with a low Ge fraction) grown on SOI, exhibited very high peak
mobility enhancement of ~10X over conventional bulk Si p-MOSFETs (Fig. 3.32).
The final GOI substrate had a Ge thickness of 25nm, a Ge fraction of 93% and a strain
of 1.3% . At higher E-fields, the mobility decreases to ~5X (Fig. 3.33). This was
attributed to significant roughness at the SGOI/oxide interface due to partial relaxation
of the strain. Further, the SiGe-oxide interface has a high density of interface states
and fixed charges and needs to be replaced by a better technology.
p-MOSFETs were fabricated on pseudomorphic Si/Si0.64Ge0.36 layers grown on Si
substrates [3.27] and the Si capping thickness was varied. The devices with thicker Si
capping layer exhibited high peak mobilities (~2.44X increase over Si control) but
lower mobility enhancements at high E-fields than those with a thinner Si cap (Fig.
3.34). The higher peak mobility in the devices with thicker Si cap was attributed to the
increased coulomb scattering due to interface states (Fig. 3.35(a)) and increased
surface roughness (Fig. 3.35(b)) in transistors with thinner Si caps. The decreased
mobility at higher fields was mainly because of higher conduction through the
parasitic Si surface channel.
67
Fig. 3.32. Fabrication procedure for strained SGOI MOSFETs by a local condensation technique. [3.26]
Fig. 3.33. Efective mobility as a function of E-field for the SGOI p-MOSFETs compared to universal mobility in Si nMOS and pMOS. [3.26]
Fig. 3.34. Effective mobility vs NS for the SiGe devices. The onset of conduction at the SiO2/Si interface is marked by a cross (+). [3.27]
68
Ge channel MOSFETs with biaxial compressive strain were fabricated [3.28] on
SixGe(1-x) (0.5<x<1) buffers grown on a Si substrate (Fig. 3.36). To avoid the
problem associated with the dielectric-germanium interface, a thin Si cap was grown.
The hole mobility measured on this device was found to be upto 10X higher compared
to bulk Si devices (Fig. 3.37(a)). The mobility dropped sharply to a 5X enhancement
as the thickness of the strained-Ge layer was decreased (Fig. 3.37(b)). Strained-Ge p-
MOSFETs fabricated on Si0.3Ge0.7 buffers [3.29] with a HfO2 dielectric exhibited a
hole mobility enhancement of 2X compared to bulk Si control devices (Fig. 3.38(a))
and also show encouraging sub-threshold behavior of 90mV/dec (Fig. 3.38(b)).
Starting from a SGOI wafer with 30% Ge concentration, strained-Ge channel p-
MOSFETs were fabricated [3.30] using two techniques – high temperature oxidation
to locally enrich the Ge concentration and UHVCVD growth of a strained-Ge layer
with a Si cap. The thermally mixed enriched Ge device had a Ge concentration of 67%
with 1.47% strain. Plasma SiO2 was used for the UHVCVD grown strained-Ge device
and nitridation followed by HfO2 was used as the gate dielectric for the TM strained-
Ge device. The devices showed reasonably good performance (~2.5-3X
transconductance improvement over the Si control) (Fig. 3.39(a) and (b)) but had very
poor sub-threshold characteristics and off-state leakage (Fig. 3.40(a) and (b)). This
was mainly attributed to defects in the strained-Ge layer for the UHVCVD Ge device
and the poor high-k dielectric interface for the TM Ge device.
Thus, the extremely high mobility of strained-SiGe (with very high germanium
fraction) combined with its ease of integration onto a Si substrate technology a very
69
Fig. 3.35 (a). Interface trapped charge density distributions vs energy measured from the valence band edge of silicon, for the SiGe device with a 2nm Si cap and the epitaxial Si control. [3.27]
Fig. 3.35 (b). Calculated rms interface roughness scattering potential at the SiO2/Si interface and at the Si/SiGe interface for different Si capping layer thickness. [3.27]
Fig. 3.36. Schematic of the strained-Ge MOSFET. [3.28]
70
Fig. 3.37 (a). Hole effective mobility vs Ninv of the strained-Si/strained-Ge dual-channel heterostructures grown on SiGe. [3.28]
Fig. 3.37 (b). The hole effective mobility for the dual-channel heterostructures as a function of the Ge layer thickness. [3.28]
Fig. 3.38 (a). Comparison of extracted mobility for strained-Ge, bulk Ge and Si control p-MOSFETs. [3.28]
71
Fig. 3.38 (b). Typical Is-Vg characteristics for the strained-Ge p-MOSFETs. [3.29]
Fig. 3.39 (a). Transconductance of the PMOS with HfO2 gate oxide on 60% SiGe channel formed by local thermal mixing compared to Si-HfO2 control. [3.30]
Fig. 3.39 (b). Transconductance of the PMOS with remote plasma oxide on 100% Ge channel formed by selective UHVCVD compared to Si-control with the same oxide. [3.30]
72
Fig. 3.40 (a). Sub-threshold of the PMOS with HfO2 gate oxide on 60% SiGe channel formed by local thermal mixing compared to Si-HfO2 control. [3.30]
Fig. 3.40 (b). Sub-threshold of the PMOS with remote plasma oxide on 100% Ge channel formed by selective UHVCVD compared to Si-control with the same oxide. [3.30]
73
attractive material, compared to even relaxed Ge, for future high-peformance p-
MOSFETs.
3.3.2 High-Mobility / Narrow-Bandgap Tradeoffs
Most of the previous research on Ge and strained-Ge MOSFETs has focused on
obtaining high mobility. However, as we shall see in the next chapter, merely
obtaining high carrier mobility is not enough for future nanoscale MOSFETs.
Eventually, we need a good trade-off between Ion/Ioff, or more accurately, high
performance demands a good tradeoff between low power dissipation and fast
switching speeds.
In achieving this goal, we find there are several fundamental and practical problems
associated with Ge based devices:
1) The smaller bandgap in Ge leads to exponentially higher leakage currents, much
lower breakdown fields and greatly reduced operating temperature.
2) The higher dielectric constant makes it easier for the electric-field from the drain to
penetrate to the source, thus making its short channel effects and sub-threshold slope
worse.
3) The lack of a native grown insulator and adequate surface passivation techniques
with high-k dielectrics on Ge, leads to very poor quality and defective interfaces,
which then significantly degrade the device performance in terms of transport, gate
control and leakage.
74
We will now introduce the heterostructure device concept, which addresses several of
these issues associated with novel high mobility / small bandgap materials. In
particular, we will study, through detailed experiments and simulations, a very high
performance Si/strained-SiGe/Si heterostructure p-MOSFET, which solves several of
the problems in strained-Ge devices.
75
Chapter 4
High Mobility, Low Band To Band Tunneling
(BTBT), Strained Germanium, Double Gate (DG),
Heterostructure FETs : Simulations
Large Band-To-Band Tunneling (BTBT) leakage currents can ultimately limit the
scalability of high mobility (small bandgap) materials. In this chapter, we present a
novel Heterostructure DGFET, which can significantly reduce the BTBT leakage
currents, while retaining its high mobility, making it suitable for scaling into the sub-
20nm regime. In particular, through 1-D Poisson-Schrodinger, full-band Monte-Carlo
and detailed BTBT simulations, we thoroughly analyze the tradeoffs between carrier
transport, electrostatics and BTBT leakage in high mobility, sub-20nm, Si - strained
SiGe - Si (high germanium concentration), heterostructure, PMOS DGFETs. Our
results show a dramatic (>100X) reduction in BTBT and excellent electrostatic control
of the channel, while maintaining very high drive currents and switching frequencies,
in these nano-scale transistors.
76
4.1 Introduction
As we continue to aggressively scale transistors in accordance with Moore’s Law to
sub-20nm dimensions, it becomes increasingly difficult to maintain the required
device performance. Currently, the increase in drive currents for faster switching
speeds at lower supply voltages is largely at the expense of an exponentially growing
leakage current, which leads to a large standby power dissipation. There is an
important need to explore novel channel materials and device structures, which would
provide us with high performance nano-scale MOSFETs. Due to their significant
transport advantage, high mobility materials are very actively being researched as
channel materials for future highly scaled CMOS [4.1-4.8, 4.16, 4.20]. However, most
high mobility materials also have a significantly smaller bandgap compared to Si
leading to very high BTBT leakage currents, which may ultimately limit their
scalability. In this chapter, we present novel heterostructure DGMOSFETs, which can
significantly reduce the BTBT tunneling leakage and fully exploit the advantage
offered by high mobility channel materials, while retaining excellent electrostatic
control of the channel. In Sec. 4.2, we discuss various scaling issues related to high
mobility materials and introduce the general working and device structure of the
heterostructure DGMOS device. From Sec. 4.3 - Sec. 4.6, we look at a particular
heterostructure DGMOS with a high mobility, strained-Si(1-x)Ge(x) center channel (CC)
flanked by two Si caps on either side. In ultra-thin (UT) quantum wells formed by
heterojunction band offsets, quantum mechanical effects become very important due
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to strong carrier confinement. Through 1-D Poisson-Schodinger [4.12] and k.p
Luttinger-Kohn density gradient [4.13] simulations, the device working and quantum
effects in the heterostructure DGFET device are discussed in Sec. 4.3. In Sec. 4.4, we
address the important issue of BTBT leakage in high mobility materials and analyze
the heterostructure DG MOSFET through detailed simulations. The BTBT simulations
take into account the strain effects on the effective mass and bandgap, (direct-indirect)
tunneling between the different valleys and quantum mechanical effects in the DGFET
[4.9-4.11]. The electrostatics and Short Channel Effects (SCE) of the DG
heterostructure MOSFET are benchmarked against control Si and control Ge surface
channel DGFETs in Sec. 4.5. For nanoscale channel length devices, Full-Band Monte-
Carlo simulations [4.14-4.16] are the most insightful in capturing the transport
properties of the device. In Sec. 4.6, through Full-Band Monte-Carlo simulations, we
look at the eventual performance of the heterostructure DGMOS in terms of drive
current and cut-off frequencies for low power or high performance applications.
4.2 Double Gate Heterostructure FETs
In order to maintain and enhance conventional Si-based CMOS device performance,
new high mobility channel materials are actively being researched [4.1-4.8, 4.15, 4.16,
4.20]. One of the biggest concerns as we continue to scale MOS devices into the sub-
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20nm regime is the exponential growth in the leakage current. The different significant
components of channel leakage are shown in Fig. 4.1. (Assuming an ideal high-k gate
dielectric technology - gate leakage has not been addressed in the present study).
Conventionally, the exponentially rising diffusion (or sub-threshold) current, due to
lowered threshold voltages has been the dominant leakage mechanism in Si
MOSFETs. However, with continued device scaling into the nanometer regime and
the increasing E-fields in the channel, there is also an exponential growth in the
tunneling components (BTBT and direct S-D tunneling) of leakage. Fig. 4.2(a) and
4.2(b) show the material parameters of low effective mass (high mobility)
semiconducting channel materials. A universal trend is observed with respect to the
bandgap and the dielectric constant of low effective mass semiconductors. As we push
towards lower effective mass (high mobility) channel materials, the bandgap rapidly
drops and the dielectric constant increases. As seen in Table 4.1, most high mobility
materials like Ge, InAs, InSb have a significantly lower bandgap compared to Si. Due
to the increasing E-fields in the channel and the smaller bandgap in these high
mobility materials, the BTBT leakage current can become excessive and will
ultimately limit the scalability of high mobility channel materials. Another point to
note is that since most high mobility materials also typically have a higher permittivity
(κs), they also suffer from worse short channel effects. In an attempt to understand this
from the perspective of the electrical characteristics of a MOSFET, Fig. 4.3 shows a
schematic of an Id-Vg semilog plot for three hypothetical devices A, B, C. Device A is
the control device with a wide bandgap, low κs , low mobility channel. Device B and
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Table 4.1. Carrier mobility and bandgap of some commonly used semiconductors
Fig. 4.1. Dominant leakage paths in nanoscale high-mobility CMOS devices. High-mobility (low-bandgap) materials suffer from excessive BTBT leakage.
Fig. 4.2 (a)
Fig. 4.2. Tradeoffs between effective mass (m*), bandgap (EG) and dielectric constant (κS) in semiconducting materials.
Fig. 4.2 (b)
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C are high mobility devices with smaller bandgaps and higher κs. Since both B and C
have worse short channel effects compared to devices A, we find that for a matched
IOFF, depending on the strength of the electrostatic control to the mobility advantage, a
high mobility device with worse short channel effects can either perform significantly
better (B) or significantly worse (C) than the control (A). Further, depending on the
magnitude of the IOFF specification, the device may meet (B) or fail to meet (C) even
the minimum off-state leakage (IOFF, MIN) requirements due to significant BTBT
leakage in the narrow bandgap semiconductors. In other words, we require a
combination of good electrostatic control, excellent transport and low BTBT leakage
in order to enhance device performance.
The schematic of the heterostructure DG MOSFET, introduced in this work, is shown
in Fig. 4.4. It consists of a high mobility - narrow bandgap material sandwiched
between two layers of a lower mobility - wider bandgap material. The goal is to make
the device conduct through the high mobility - narrow bandgap region in the center in
the ON state and leak through the low mobility - higher bandgap region at the surface
in the OFF state. This combines the advantage of the transport properties of the high
mobility material with the leakage immunity of the larger bandgap material. In the
remaining sections, we will specifically analyze this device structure implemented in a
Si / strained-Ge / Si DG PMOS configuration.
4.3 Device Working And Quantum Mechanical Effects
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Fig. 4.3. Tradeoffs between BTBT leakage, transport properties, and electrostatic control in nanoscale high-mobility MOSFETs. High mobility (high permittivity) has worse electrostatics and BTBT leakage but better transport properties
Fig. 4.4. Schematic of the heterostructure DG FET compared to surface channel FETs. Heterostructure FETs can combine the superior transport of a high mobility material with the better electrostatics and leakage of a large bandgap material.
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The device structure, cross-section and band diagram of the Si / strained-SiGe / Si DG
heterostructure PMOSFET is shown in Fig. 4.5(a), (b) and (c). The band offsets used
in this study are illustrated in Fig. 4.5(c) and the effective masses are taken from [4.9,
4.10, 4.17]. The device consists of a high hole mobility, strained-SiGe layer
sandwiched between two Si caps. The large valence band offset between strained-
SiGe and Si creates a quantum well, which confines the holes in the center of the
device away from the dielectric interface. As the Ge concentration (X) in the Si(1-x)Gex
layer is increased, the valence band offset becomes larger and the effective mass
drops, leading to stronger carrier confinement and a higher mobility channel. The most
critical parameters, which determine the device performance in the heterostructure
DGFET, are the Si cap thickness (TSi), the percentage (X) of the Ge in the strained
SiGe and its thickness (TGe). The total semiconductor thickness is denoted as TS (=
TSi1 + TGe + TSi2). Quantum mechanical simulations were performed using a Luttinger-
Kohn (6x6 k.p) Schrodinger solver [13] to understand the basic device working and to
illustrate the role of each of these parameters (TGe, TSi and X). Fig. 4.6 shows the
cross-sectional valence band profiles for three different DG heterostructure FETs, with
varying TGe, TSi and percentage X, in the ON state (Ninv=2x1013 cm-2) compared with a
control, surface channel Si and surface channel strained Si(1-x)Ge(x) with X=100%. The
highest point in the strained SiGe valence bands are all nearly aligned to the Si due to
the fact that most of the charge is supplied by the Ge layer. In the case of the ultra-thin
(UT) TGe = 1nm layer, the valence band is higher than the others due to strong
quantum confinement, which raises the lowest allowed energy level from the bottom
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Fig. 4.5. (a) Structure of the Si-strained Ge-Si heterostructure DGFET. (b) Device cross-section for the Si-strained Ge-Si heterostructure DGFET. (c) Band structure and offsets for the Si-strained Ge-Si heterostructure DGFET.
Fig. 4.6. Cross-section valence band profile for the Si-strained Ge-Si heterostructure DGFET for different Ge percentage (X), TSi and TGe
(Luttinger-Kohn 6x6 k.p Schrodinger).
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of the valence band. The hole density in the ON state (Ninv=2x1013 cm-2) is shown in
Fig. 4.7. As seen from the figure, because of quantum mechanical effects in the thin
body (TS=5nm) and lower E-fields, even in the surface channel DG FET most of the
carriers are confined towards the center of the device. However, in the case of the
heterostructure, the confinement is stronger. The effect increases as the Ge percentage
in the SiGe in increased and as the TGe is decreased. The E-field through the
perpendicular cross section of the device is shown in Fig. 4.8. Due to the symmetry of
the DG structure, the E-field rapidly falls-off to zero in the center of the channel. As
the Ge concentration is increased and TGe is decreased, the carriers are strongly
confined in the center of the channel where the E-field is close to zero.
4.4 Band-To-Band Tunneling (BTBT) Leakage
As we switch a MOSFET off, at high drain bias the E-field from the drain to the gate
becomes very high causing a large band bending, which leads to BTBT leakage.
Typically, in DGFETs, due to the undoped body, the BTBT leakage can be lower than
for bulk Si MOSFETs. However, with the introduction of high mobility (small
bandgap) materials, due to the thinner tunneling barrier and lower tunneling mass, the
BTBT becomes severe and can ultimately limit the device scalability. BTBT
simulations were performed for the various DG MOSFET devices, taking into account
the effect of strain (on the effective mass and the bandgap), quantum mechanical
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effects in the ultra-thin body and the (direct-indirect) transitions between the different
valleys. In highly quantized Si crystallites, zero phonon transitions can be observed.
However, for the geometries that are being considered in this study, this effect is at
least an order of magnitude weaker than the phonon assisted transitions [4.19]. In the
case of strained Si0.4Ge0.6 the band gap reduces to ~0.65eV, while for 100% fully
strained-Ge grown on relaxed Si, the band gap drops to ~0.45eV [4.10, 4.15]. This
small bandgap (compared to 1.1eV for Si) is very highly susceptible to BTBT leakage.
The surface channel strained-Ge DG MOSFET leaks nearly 4 orders of magnitude
higher than the corresponding Si device. As shown in Fig. 4.9, the heterostructure
DGFET can effectively suppress the BTBT leakage by >2 orders of magnitude (for
TGe<2nm) compared to the surface channel device. This is because, of two main
reasons, the E-field distribution relative to the device geometry and the quantum
mechanical band gap increase.
Fig. 4.10(a), (b) and (c) show the 2-D E-field distribution for a strained Si0.4Ge 0.6
device with TGe=1.2nm, TS=6nm. As seen in the figure, the maximum E-field point is
always at the edge of the Gate-Drain region. In the case of the surface channel strained
Si0.4Ge0.6 DG MOSFET, this large E-field occurs in the small bandgap region leading
to very high BTBT leakage current. However, in the case of the heterostructure
DGFET, this maximum E-field still occurs in the Si just as in the case of the surface
channel Si DGFET. Thus, the BTBT is efficiently suppressed. The effectiveness of the
Si cap in reducing the BTBT is shown in Fig. 4.11.
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Fig. 4.7. Cross-section hole density for the Si-strained Ge-Si heterostructure DGFET for different Ge percentage (X), TSi and TGe (Luttinger-Kohn 6x6 k.p Schrodinger).
Fig. 4.8. Cross-section E-field profile for the Si-strained Ge-Si heterostructure DGFET for different Ge percentage (X), TSi and TGe (Luttinger-Kohn 6x6 k.p Schrodinger).
Fig. 4.9. Minimum OFF-state leakage (IOFF,min) for the DG heterostructure FET compared to surface channel Si and Ge DGFETs. The reduction in BTBT leakage (IOFF,min) is nearly 2 orders of magnitude for TGe<2nm.
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As the TGe is reduced, due to quantum mechanical confinement, the lowest allowed
energy level rises and the spacing between successive ladders increases. This quantum
mechanical confinement appears as an apparent bandgap (Eg) increase and a reduction
in available density of states from 3-D to 2-D. The apparent bandgap increase, due to
confinement in the channel as TGe is decreased, in a 100% strained-Ge quantum well
confined between 1nm silicon capping layers, is shown in Fig. 4.12. This apparent
increase in the bandgap can help in exponentially reducing the tunneling currents as it
increases the tunneling distance and lowers the density of states. The effect of TGe in
reducing the BTBT leakage is shown in Fig. 4.13. As seen in the figure, the reduction
of the leakage is substantial (>~2 orders of magnitude).
The combined effect of both TSi and TGe is shown in Fig. 4.14. In this device, the TS is
kept fixed at 8nm, while the TGe is varied all the way from 0nm (surface channel Si) to
8nm (surface channel SiGe). The effect of increasing the Si thickness and the
decreasing Ge thickness can significantly reduce the BTBT currents by several orders
of magnitude. Further, we also find that, as expected, a lower Ge percentage gives
lower BTBT leakage due to the larger bandgap and heavier tunneling mass. In
conclusion, the heterostructure DGFET allows us to use TGe, the Ge percentage and
TSi as effective tools to control the BTBT leakage current.
4.5 Electrostatic Channel Control
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Fig. 4.10. 2-D E-field profile near the drain end for the surface channel Si and Ge DGFETs compared to the DG heterostructure FET. The E-field is maximum at the gate-drain edge.
Fig. 4.11. Effect of TSi,Cap on BTBT leakage. Increasing TSi
significantly lowers the BTBT leakage due to lower E-fields in the Ge.
Fig. 4.12. Quantum mechanical increase in the apparent bandgap for 100% strained-Ge quantum well confined between 1nm silicon capping layers. Quantum mechanical effects become very significant for TGe<3nm.
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The primary concern with heterostructure FETs is the reduced electrostatic control due
to the channel being further away from the gate insulator interface. Short channel
effects are very important in eventually determining the device performance and must
be evaluated accurately. In order to accurately capture and benchmark the short
channel effects for the heterostructure DG FET, simulations were performed by
varying TSi, TGe, LG and TS. The simulation space can be easily understood from Fig.
4.15. As shown in the figure, for a given TS and LG, several sets of simulations were
performed, where TGe/TS goes from 0% (surface channel Si) to 100% (surface channel
Ge). Then, using TS and LG as parameters, the Drain Induced Barrier Lowering
(DIBL) is plotted in Fig. 4.16(a) and (b) and Sub-threshold Slope (SS) is plotted in
Fig. 4.17(a) and (b).
As seen from Fig. 4.16(a) and (b), the DIBL is the best for the surface channel Si
(TGe/TS = 0%). The surface channel Ge (TGe/TS = 100%) shows slightly worse DIBL
due to its higher dielectric constant and the worst DIBL occurs in the device where
TGe/TS = 25%, as the channel is the farthest from the gate for this device. However, the
overall DIBL values for all the devices are excellent and quite comparable. Around the
nominal operating point of LG=TS/2 to TS/3, the DIBL is <20mV/V higher than the
surface channel Si and <10mV/V compared to the surface channel Ge. The DIBL is
around ~5% worse for the worst-case (TGe=25%) device, meaning that its LG would
have to be ~5% longer or TS ~5% thinner to achieve the same electrostatic control as
compared to the Ge surface channel (and 10% compared to the Si surface channel).
From Fig. 4.17(a) and (b), we find that the subthreshold slopes (SS) are also excellent.
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Fig. 4.13. Effect of TGe on BTBT leakage. Decreasing TGe
significantly lowers the BTBT leakage due to quantum-mechanical increase in the apparent bandgap and the lower density of states.
Fig. 4.14. Effect of varying both TSi and TGe for the same total thickness (TS=TSi+TGe) on the BTBT as a function of the Ge percentage in the strained-SiGe layers.
Fig. 4.15. Different heterostructure DGFET structures simulated to benchmark the SCE as a function of TSi, TGe, TS and LG. Y (=TGe/TSi%) was varied from 0% (surface channel Si) to 100% (surface channel Ge).
91
Fig. 4.16. DIBL as a function of LG and TS for different heterostructure DGFET structures. A 5% increase in LG or 10% decrease in TS allows a 25% heterostructure DGFET (worst SCE) to have the same DIBL as a surface channel Ge and Si DGFET, respectively.
Fig. 4.17. SS as a function of LG and TS
for different heterostructure DGFET structures. A 5% increase in LG or 10% decrease in TS allows a 25% heterostructure DGFET (worst SCE) to have the same SS as a surface channel Ge and Si DGFET, respectively.
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Around the operating point, for the worst case (TGe=25%) device, the SS is
<15mV/dec higher than the Si surface channel and <10mV/dec compared to the Ge
surface channel. Again the SS looks ~10% worse compared to the Si surface channel
and only ~5% worse compared to the Ge surface channel.
From the above discussion, we can conclude that the electrostatic control in the
heterostructure, double-gate FET is very good and nearly comparable to its surface
channel counterpart. The main reason for this is easily attributed to the excellent
electrostatic properties of a fully depleted DG MOSFET where the entire body is
tightly coupled to the gate potential.
4.6 High Mobility – Transport
Unlike long channel devices, in extremely scaled nano-devices, the effectiveness of
mobility in boosting the drive current reduces. Full-Band Monte-Carlo simulations
were used to accurately evaluate the transport properties of the heterostructure,
strained-SiGe(60%) FET [4.14 - 4.16]. The device structures used in the simulations
are shown in Fig. 4.18 (a), (b) and (c). Two types of heterostructure FETs were
simulated - one with an undoped Si cap and the other with a cap doping of 5x1019 cm-
3. The workfunction of the gate electrode for all the devices was adjusted to match the
off-state leakage current. Doping the Si cap makes the device function similar to a
MOS-gated MODFET (HEMT) [4.16], where the dopants in the Si cap now supply
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the inversion carriers. This ensures that the band bending in the Si cap is small and
helps to confine the carriers into the high mobility Ge channel. One problem with the
undoped FET is the possibility of the carriers spilling into the Si cap at high gate bias.
To verify that the undoped FET does not suffer significantly from this potential
problem, this device was compared with the heterostructure FET with the doped Si
cap. Fig. 4.19 shows the cross-sectional valence band profile of the device in the off-
state and the on-state. As seen from the figure, the confinement due to the valence
band offset is still stronger than the confining effect of the surface-field caused by the
gate. As a result, most of the carriers remain in the high mobility strained-SiGe layer.
As shown in Fig. 4.20, due to the fact that the carriers are further away from the
interface, the carrier density is lower in the DG heterostructure FETs than in the case
of the surface channel FET. This leads to a ~15% lower capacitance in the DG
heterostructure FETs compared to the surface channel FET. The two important
parameters in determining the drive current in nanoscale MOSFETs are the injection
velocity (the average velocity of the carriers injected into the channel) and the
backscattering coefficient (the ratio of the carriers reflected back to the source to the
total number of carriers) at the charge control point (source barrier). Fig. 4.21 shows
the reflection coefficient or backscattering coefficient (RBACK) for the carriers. As seen
in the figure, due to its lower mobility and higher effective mass, the backscattering
coefficient is 40% higher for the Si DGFET compared to the DG heterostructure
FETs. Fig. 4.22 shows that the injection velocity for the heterostructure DGFETs is
~50% higher compared to the Si DGFET. Putting all this together, we find that the
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Fig. 4.18. Device structures used in the full-band Monte-Carlo simulations. The doped Si-cap DG heterostructure FET (b) operates like a MOS-gated HEMT.
Fig. 4.19. Valence band profiles for the three devices shown in Fig. 4.18 in OFF and ON state. The holes are still strongly confined to the center of the channel.
Fig. 4.20. Monte-Carlo simulations of the carrier density though the channel for the three devices shown in Fig. 4.18. CC heterostructure DG FETs have a 15% lower capacitance than the Si surface channel DGFET.
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Fig. 4.22. Monte-Carlo simulations of the carrier velocity through the channel for the three devices shown in Fig. 4.18. The injectionvelocity at the source for the CC heterostructure DG FETs is 50% higher than the Si surface channel DGFET.
Fig. 4.23. Monte-Carlo simulations of the drive current for the three devices shown in Fig. 4.18. The drive current for the CC heterostructure DG FETs is 50% higher than the Si surface channel DGFET.
Fig. 4.21. Monte-Carlo simulations of the reflection coefficient though the channel for the three devices shown in Fig. 4.18. The backscattering coefficient at the source for the Si surface channel DGFET is 40% higher than the CC heterostructure DG FET.
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drive currents are nearly 50% higher for the strained-SiGe (60%) heterostructure FETs
than in the case of the conventional Si DGFET (Fig. 4.23) at lower capacitance. The
lower capacitance and high drive currents results in lower dynamic power dissipation
and higher switching speeds (τ = CV/I). Further, the higher transconductance
combined with the lower capacitance leads to a significantly higher cut-off frequency
(fT = gm/Cg) of nearly 1000GHz compared to the Si device (Fig. 4.24). In summary,
due to its excellent transport properties, the Full-Band Monte-Carlo simulations show
a significant performance enhancement in the double-gate strained SiGe
heterostructure FET compared to a conventional Si DG FET.
4.7 Conclusion
In conclusion, we have introduced novel Heterostructure DGFETs, which can
significantly reduce the BTBT leakage currents, while retaining their high current
drivability and excellent electrostatic control. In particular, through 1-D Poisson-
Schrodinger, Full-band Monte-Carlo and detailed BTBT simulations, we have
thoroughly analyzed high mobility, sub-20nm, Si-strained SiGe-Si, heterostructure
PMOS DGFETs with very high Ge concentration. Our results show a dramatic
(>100X) reduction in BTBT and excellent electrostatic control (<10%), while
maintaining very high drive currents (~50%), cut-off frequencies (1000GHz) and
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lower power dissipation (compared to conventional Si devices), making them suitable
for scaling into the sub-20nm regime.
Fig. 4.24. Monte-Carlo simulations of the cut-off frequency for the three devices shown in Fig. 4.18. The cut-off frequency for CC heterostructure DG FETs is nearly 2X higher (1000GHz) than the Si surface channel DGFET.
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Chapter 5
High Mobility, Ultra Thin (UT), Strained Ge
MOSFETs On Bulk And SOI With Low Band-To-
Band Tunneling (BTBT) Leakage : Experiments
For the first time, the tradeoffs between higher mobility (smaller bandgap) channel
and lower Band-To-Band-Tunneling (BTBT) leakage have been investigated. In
particular, through detailed experiments and simulations we examine the transport and
leakage in ultra-thin, strained-Ge MOSFETs on bulk and SOI.
In the case of strained-Ge MOSFETs on bulk Si the resulting optimal structure
obtained was an ultra-thin, low defect, 2nm fully strained Ge epi channel on relaxed
Si, with a 4nm Si cap layer. The fabricated device shows very high mobility
enhancements >3.5X over bulk Si devices, 2X mobility enhancement and >10X BTBT
reduction over 4nm strained Ge and surface channel 50% strained SiGe devices.
Strained-SiGe MOSFETs having ultra-thin (UT) (TGe<3nm), very high germanium
fraction (~80%) channel and Si cap (TSi cap<3nm) have also been successfully
fabricated on thin relaxed SOI substrates (TSOI=9nm). The tradeoffs in obtaining a
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high mobility (smaller bandgap) channel with low tunneling leakage, on UT-SOI,
have been investigated in detail. The fabricated device shows very high mobility
enhancements of >4X over bulk Si devices, >2.5X over SSDOI (strained to 20%
relaxed SiGe) devices and >1.5X over 60% strained SiGe (on relaxed bulk Si) devices.
5.1 Introduction
High mobility channel materials like strained-Ge, Ge and strained SixGe1-x are very
promising as future channel materials. However, most high mobility materials also
have a significantly smaller bandgap compared to Si and suffer from higher BTBT
leakage, which may ultimately limit their scalability. Previous work [5.1-5.5] has
demonstrated very high mobility in Ge rich channels or strained-Ge channels on
relaxed SiGe. However, there has been little work addressing the problem of BTBT in
these devices. Previously, through simulations, we’ve examined the transport and
leakage mechanisms in strained-Ge, double-gate, heterostructure MOSFETs [5.12]. In
this work, the results of detailed experiments performed on strained-Ge,
heterostructure MOSFETs grown on bulk and UT-SOI substrates are discussed.
In Sec. 5.2, for the first time, the device design space for inserting a high mobility
strained Ge layer into relaxed bulk Si, while keeping the BTBT leakage and defect
density low, has been thoroughly examined through detailed simulations and
experiments [5.6]. Part 5.2.1 briefly discusses the basic device structure, fabrication
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and describes the various device splits. Part 5.2.2 attempts to explain the various
results of the mobility and band-to-band tunneling obtained from the various splits
through detailed experimental analysis and simulations. Part 5.2.3 covers the tradeoffs
involved in designing a high mobility MOSFET with low tunneling leakage.
Combining the transport advantage of this high mobility material with the electrostatic
advantage of a fully-depleted SOI structure makes it very attractive for scaled
PMOSFETs [5.7-5.9]. In Sec. 5.3, the device design space for inserting a high
mobility strained-SiGe layer into an ultra-thin SOI substrate, while keeping the BTBT
leakage and defect density low has been thoroughly examined. In part 5.3.1, we
discuss the device structure and fabrication. Part 5.3.2 begins by briefly describing the
device working through detailed Poisson-Schrodinger simulations [5.13] with
experimental confirmation. It then attempts to explain the mobility enhancements and
the BTBT leakage obtained from the different splits through experimental analysis and
detailed simulations. Part 5.3.3 discusses the tradeoffs involved in designing a high
mobility strained-SiGe-on-SOI transistor with low tunneling leakage.
5.2 High Mobility, Low BTBT, Ultra-thin, Strained Ge On
Bulk Si
5.2.1 Device Structure And Fabrication
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Fig. 5.1(a) and (b) show the schematic of the device structure that was fabricated
along with the band structure. Strained Ge was epitaxially grown on lightly doped n-
type bulk Si substrate and capped with a thin Si layer. Care was taken to prevent the
defect formation or islanding during the epitaxial growth of high concentration
strained-Ge layers directly on Si (Fig. 5.2(a)). The Si cap was then oxidized at a
relatively lower temperature (8000C) to prevent relaxation of the strained Ge film. The
cross-sectional TEM in Fig. 5.2(b) shows the different defect-free layers. Fig. 5.3
shows SIMS data taken on a stack of Si/SiGe layers with varying Ge % in the SiGe
layers. The effect of thermal oxidation, on the out-diffusion of the germanium from
the strained-SiGe layers was studied by annealing the sample at various time-
temperatures (700OC-1hr, 800OC-1hr and 850OC-0.5hr). As seen in Fig. 5.3, Ge can
rapidly diffuse from the high Ge % regions into the Si, lowering the Ge%, increasing
the Ge pile up at the SiO2 interface and creating defects due to relaxation of the film
[5.10]. The Ge out-diffusion is much faster from the high Ge % region than from the
low Ge % region. The effects of the Ge pile up on the interface state density (Dit) and
C-Vs measured on MOS capacitors are shown in Figs. 5.4 (a)-(c). The interface state
density (Dit) created by the Ge diffusion to the interface is a strong function of TSi cap
and can adversely affect the mobility and the trap-assisted-tunneling (TAT).
In order to study the design space for strained-Ge MOSFETs thoroughly, several splits
by varying the Si capping layer thickness, Ge percentage in channel and the strained
Ge thickness were fabricated. The different design splits are shown in Table. 5.1. The
Si capping layer thickness (TSi cap) was varied from 0nm-8nm, the Ge thickness (TGe)
102
Fig. 5.1. Device structure and band diagrams.
Fig. 5.2 (a). Islanding and defect formation in epitaxial films with high Ge concentration.
Fig. 5.2 (b). Cross-sectional TEM of device.
103
Fig. 5.3. SIMS profile of an Si/SiGe superlattice annealed at 7500C (1h), 8000C (1h) and 8500C (0.5h). Ge diffuses and piles up at the gate interface during thermal oxidation.
(a)
(b)
Fig. 5.4. (a)-(c) Interface states and defects generated as a result of Ge diffusion toward the surface are a strong function of the TSi, cap
for a given gate oxidation condition.
(c)
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was varied from 6nm-2nm and two types of devices with different Ge fractions, 50%
and 100%, were fabricated.
5.2.2 Mobility Enhancements And Low Tunneling Leakage
From the C-Vs of some of the typical MOSFETs (Fig. 5.5) we can clearly observe a
decrease in the Vth due to the band offset between control Si and strained-Ge. Further,
we also observe the characteristic hump in the C-V curve showing the onset of
inversion in the Si cap (4nm). Since the 4nm strained Ge layer is close to the critical
thickness, it partially relaxes during the gate oxidation leading to defect formation in
the Ge channel and Si cap. As seen in Fig. 5.6, due to the larger out-diffusion to the
interface and strain-relaxation, the sub-threshold slope for the 4nm strained Ge device
is slightly higher (~90mV/dec) compared to the 2nm strained Ge (~68mV/dec) and the
Si control (~65mV/dec). The 2nm strained Ge device shows excellent sub-threshold
slope due to the ultra-thin channel, which remains fully strained and defect-free. Due
to the lower thermal budget, there is also very little Ge pile up at the interface leading
to very low Dit. To study the effect of the TSi cap on the mobility, we compare devices
#1, #2, #3 and #4 where TSi cap is varied from 0nm (surface channel) to 8nm on a
6nm, 50%, strained-SiGe epi layer. The mobility enhancement for these devices is
around 65% compared to the control Si (Fig. 5.7). Decreasing TSi cap leads to lower
mobility at low Ninv because of Coulombic scattering by the increased interface states.
As we make the cap thicker, we find that the overall mobility reduces due to a greater
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Fig. 5.5. C-V for the strained Ge (on bulk Si) channel devices.
Fig. 5.6. Is-Vg for the strained Ge (on bulk) devices.
Table 5.1. Splits for the devices fabricated on bulk substrates.
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fraction of the hole populating the Si surface compared to the Ge buried channel.
Looking at the BTBT in these devices, we find that increasing the TSi cap beyond 4nm
reduces the BTBT by >10X (Fig. 5.8). Simulations show that this is because the E-
field in the smaller bandgap, strained-Ge, is decreased by over 50% compared to the
surface channel device. The E-field in the Si cap is also slightly lower than the bulk Si
control (Fig. 5.9). Thus, as shown in Fig. 5.10, there exists an optimum TSi cap of
around 4-6nm, which trades off mobility for BTBT.
To see the effect of TGe and Ge fraction on the mobility and BTBT, we compare
devices #2, #5 and #6. We find that the mobility for the 2nm Ge is much higher (~2X)
than the 4nm and 6nm cases. This is because the thicker layers tend to partially relax
easily, which releases the strain and causes defects in the channel. The peak mobility
for the 2nm case is >3.5X compared to the bulk Si control (Fig. 5.11). Also, the BTBT
for the ultra-thin, 2nm, strained Ge is ~10X lower than the thicker Ge case (Fig. 5.12).
The reason for this is two-fold (Fig. 5.13). The first effect is the increase in the
effective bandgap of the strained-Ge as we reduce TGe, due to quantum mechanical
confinement between the two Si barriers. This higher effective bandgap decreases the
probability for BTBT to occur and reduces the leakage. The second effect is the
stronger immunity to partial relaxation of the strain in the film as TGe is decreased.
This relaxation produces defects, which allow trap-assisted tunneling to increase
significantly. Thus, from Fig. 5.14, we find that using ultra-thin (2nm), fully strained
Ge can help to significantly reduce the BTBT while retaining higher mobility (>3.5X).
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Fig. 5.7. Mobility versus Ninv with varying TSi, cap
Fig. 5.8. BTBT (gate induced drain leakage, GIDL) with varying TSi, cap
Fig. 5.9. Maximum E-field in the Si cap and Ge channel
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Fig. 5.10. Mobility and BTBT versus TSi, cap
Fig. 5.11. Mobility versus Ninv with varying TGe channel
Fig. 5.12. BTBT (GIDL) with varying TGe channel
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5.2.3 High Mobility And Low Tunneling Leakage Design Tradeoffs
To design an optimal structure using high mobility (smaller bandgap) channels, we
need to examine the tradeoffs in terms of lower BTBT leakage and higher mobility.
Fig. 5.15 and 5.16 together show the parameters involved in designing a high mobility
device with low BTBT. A combination of a thicker Si cap and an ultra-thin high
mobility channel material is a very effective way to lower the BTBT leakage. The
thicker cap lowers the E-field in the high mobility channel; the ultra-thin channel has a
lower defect density and a larger effective bandgap. By increasing the TSi cap, we
reduce the scattering of the channel carriers by interface states but also reduce the
population of the carriers in the higher mobility channel. These two effects are in
opposite directions and lead to an optimum cap thickness in terms of mobility.
Further, as we go to ultra-thin high mobility channels, the defects in the channel due to
strain-relaxation are reduced but the population of carriers in the high mobility region
also reduces. These two effects lead to an optimal channel thickness for higher
mobility.
5.3 High Mobility, Low BTBT, Ultra-thin, Strained
Si0.2Ge0.8-On-SOI
5.3.1 Device Structure And Fabrication
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Fig. 5.13. Factors affecting BTBT and TAT
Fig. 5.14. Mobility and BTBT versus TGe channel showing that 2nm is optimum for 100% strained Ge on bulk Si.
Fig. 5.15. Lower E-field and quantization effects in the UT Ge channel reduce the BTBT leakage in the heterostructure field-effect transistor (E(max) is around the depletion layer near the surface at the Drain/Gate edge).
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Fig. 5.17(a) and (b) show the schematic of the strained-SiGe on SOI device structure
that was fabricated, along with the band structure. Highly strained SiGe (80%) was
epitaxially grown on SOI wafers with 9nm thick Si and capped with a thin (3nm) Si
layer. In our experiment, care was taken to keep the thermal budget low. The Si cap
was initially oxidized at a low temperature to prevent relaxation/diffusion of the
strained SiGe film while maintaining a good gate dielectric interface. The device was
then capped with 35nm of LTO at 4000C to eliminate any gate leakage component
from the measurements. The cross-sectional TEM of the fully processed device, in
Fig. 5.18, shows the different defect-free layers. In order to study the design space
thoroughly, several splits by varying the TSi cap, Ge % and the TGe were fabricated. The
different design splits are shown in Table. 5.2. The TSi cap was varied from 0nm to
3nm, the TGe was varied from 6nm to 3nm and two types of devices with 60% and
80% Ge fractions were fabricated. The devices were benchmarked against bulk Si,
SOI and 20% SSDOI controls.
5.3.2 Mobility Enhancements And Reduced Tunneling Leakage
Simulations, using a Luttinger-Kohn (6x6 k.p) Schrodinger solver [5.13], illustrate the
effect of the TSi Cap, TGe and the X % strain in the SiGe on the C-V characteristics (Fig.
5.19). The characteristic hump in the C-V curve in Fig. 5.19(a) is cause by the sub-
surface SiGe channel inverting before the top Si cap. From Fig. 5.19(b), due to the
larger band offset, increasing the strain decreases the threshold voltage (Vth).
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Fig. 5.16. Designing optimal Si cap and Ge channel thickness under mobility constraints.
Fig. 5.17. (a) and (b) Device structure and band diagrams for the strained SiGe on SOI device structure.
Fig. 5.18. Cross-sectional TEM of device showing TSicap=3nm, TGe=3nm and TSOI=9nm.
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Table 5.2. Splits for the devices fabricated on SOI, SSDOI and bulk substrates
Fig. 5.19. Simulations using Luttinger-Kohn (6x6 k.p) Schrodinger solver showing the effect of varying the TSicap, the TGe and the % Ge on the C-V.
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However, as the strained SiGe thickness decreases, due to quantum confinement, the
Vth increases. The effect of the TSi cap on the confining band potential and
consequently, the carrier distribution between the strained SiGe and the Si cap are
shown in Figs. 5.20(a) and (b). The mobility advantage is retained for the strained-
SiGe device even at high Ninv because even for TSi cap=5nm, the valence band offset
between the strained-SiGe and Si causes most of the carriers to populate and flow in
the high mobility strained-SiGe layer. Fig. 5.21(a) and (b) show simulations of the
band profile and carrier population as we change TGe and Ge %. Increasing Ge%
creates a stronger confining field for the holes and decreasing the TGe squeezes the
wavefunction, raising the lowest energy level. In Fig. 5.22, assuming a strained-Ge
quantum well with 1nm Si capping layers and taking parameters from [5.11, 5.13,
5.15], we have calculated the change in the ‘effective bandgap (Eg,eff)’ energy due to
quantum confinement of the holes as we reduce TGe. Most of the energy change occurs
in the valence band. Our results show that having a larger Eg,eff significantly reduces
the BTBT probability and the available density of states, leading to lower leakage. A
thin TGe (lower than the critical thickness) also leads to a defect-free layer, which
further reduces the Trap Assisted Tunneling (TAT) and Generation-Recombination
(G-R) currents.
The hole mobilities for the different devices are shown in Fig. 5.23. The 3nm, 80%
strained SiGe on SOI device exhibits a very high mobility of >4X compared to the Si
controls and >2.5X higher than the control 20% SSDOI wafer. The SSDOI itself
exhibits 40% higher mobility compared to the Si controls, but only at low E-field. The
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Fig. 5.20. Simulations using Luttinger-Kohn (6x6 k.p) Schrodinger solver showing the effect of varying TSicap on the valence band profile and carrier distribution in the Si and Ge layers at an Ninv=1013cm-2. Even for TSi,cap= 5nm, most of the carriers are quantum confined in the strained SiGe layer.
Fig. 5.21. Simulations using Luttinger-Kohn (6x6 k.p) showing the effect of varying the TGe and the %Ge on the band profile and carrier distribution in the Si and Ge layers at an Ninv=1013cm-2. Due to the large band offset, even a 60% SiGe layer has a strong confining potential for the carriers.
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60% strained-SiGe on bulk devices also show high mobility enhancements (~2X) even
at high Ninv. By going to thinner TSi cap, the mobility in the 60% bulk devices shows a
reduction at low E-fields, due to the increasing number of Dit. However, at higher E-
fields, there is a cross over in the mobility because the coulombic scattering sites are
screened and more carriers populate the high mobility strained-SiGe layer for a thin
TSi cap. Since the 60%, 6nm strained-SiGe layer is close to the critical thickness, it may
partially relax during thermal processing, leading to lower mobility and defect
formation in the Ge channel.
The Id-Vg and Id-Vd characteristics for the strained-SiGe on SOI device are in Fig.
5.24 and Fig. 5.25. The currents are significantly enhanced (~7X) higher compared to
the bulk SOI control due to the higher mobility and reduced Vth caused by the valence
band offsets. In order to improve the device performance it is essential to understand
the different leakage mechanisms in the Strained-SiGe on SOI device. As discussed in
[5.12], a thicker TSi cap reduces the peak vertical E-field in the strained-SiGe (smaller
Eg) region at the expense of a marginal increase in the E-field at the Si surface (larger
Eg) (Fig. 5.9). This enables us to effectively, use TSi cap as a knob to lower the BTBT
leakage. However, the effect of the lateral field is also very important in the case of
SOI or Double-Gate FETs. Going to ultra-thin SOI decreases the vertical E-field (Ez)
at the expense of a growing lateral field (Ex) (Fig. 5.26). The total field remains
roughly the same. Thus, the E-field vector rotates from a dominant vertical vector in
thicker SOI or bulk, to a dominant lateral vector for UT-SOI (Fig. 5.27), which may
lead to increased susceptibility to tunneling leakage through the narrow Eg strained-
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Fig. 5.22. Calculated ‘effective bandgap’ increase as a function of TGe, due to energy level quantization, for a 100% strained Ge well confined between two 1nm Si capping layers.
Fig. 5.23. Experimental mobility vs Ninv. Peak mobility enhancement was 4X for the strained SiGe on SOI device.
Fig. 5.24. Experimental Id-Vg characteristics of the strained SiGe on SOI PMOS. The device has a degraded SS due to the thicker oxide (~35nm) and the Ge-related defects at the interfacel, but exhibits good electrostatic control and low tunneling leakage (<0.3nA).
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Fig. 5.25. Id-Vd characteristics of the SiGe SOI device. The drive currents are very high (>7X) compared to the SOI control due to the higher mobility and the reduced Vth.
Fig. 5.26. Electric field components in UT-SOI devices. Thinning down the SOI thickness decreases the vertical E-field [E(z)] at the expense of the lateral E-field [E(x)]. The lateral field plays an important role in the tunneling leakage of the SiGe on SOI device.
Fig. 5.27. Schematic showing the importance of the lateral E-field on tunneling currents in Ultra-Thin strained SiGe on SOI devices.
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SiGe channel. The leakage, sub-threshold slope (SS) and electrostatic control for the
ultra-thin (3nm) strained-SiGe on SOI device are significantly better than the bulk
strained-SiGe FETs but are still worse than the control Si FETs. This may be due to
the interface states caused by some Ge diffusion to the SiO2 interface during thermal
processing.
5.4 Conclusion
The device design space to realize high mobility channels with low Band-To-Band-
Tunneling (BTBT) has been examined through detailed experiments and simulations.
Our results suggest that a defect free, ultra-thin (2nm), fully strained, 100% Ge
channel (on relaxed Si) with a thin (4nm) Si cap is very effective in reducing the
leakage by ~10X and still retaining a very high carrier mobility >3.5X.
The fabricated strained-SiGe on 9nm SOI MOSFET, utilizing an ultra-thin (<3nm),
high Ge fraction (>80%) layer, exhibits very high mobility enhancements (>4X),
which is sustained even at high Ninv. For the first time, the tradeoffs in obtaining a
high mobility (smaller bandgap) channel with low tunneling leakage, on UT-SOI,
have been investigated. Our results show that an ultra-thin, defect-free channel can
significantly alleviate the tunneling leakage problems of the strained-SiGe due to
quantum mechanical bandgap widening. This effect, combined with the strong
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electrostatics of ultra-thin SOI and a high mobility channel, makes the device a
promising candidate for future high performance devices.
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Chapter 6
Future Nanoscale p-MOSFETs
In this chapter, the tradeoffs between drive current (ION), intrinsic delay (τ), band-to-
band tunneling (BTBT) leakage and short channel effects (SCE) have been
systematically compared in futuristic high mobility channel materials, like strained-Si
(0-100%), strained-SiGe (0-100%) and Ge. All possible combinations of strained Si(1-
x)Ge(x) alloys grown on relaxed Si(1-y)Ge(y) virtual substrates have been evaluated.
The optimal channel materials and device structures for nanoscale p-MOSFETs are
discussed through detailed BTBT (including band structure and quantum effects), 1-D
Poisson-Schrodinger and Full-Band Monte-Carlo simulations on ultra-thin, nanoscale
Double-Gate FETs.
6.1 Introduction
High mobility channel materials like strained-Si, Ge and strained Si(1-x)Ge(x) are
very promising as future channel materials [6.1]-[6.8]. Currently, strained-Si is the
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dominant technology for high performance p-MOSFETs and increasing the strain
provides a viable solution to scaling. However, looking into future nanoscale p-
MOSFETs, it becomes important to look at novel higher mobility channel materials,
like Ge, strained-SiGe or strained-Ge, which may perform better than even very highly
strained-Si. Most high mobility materials have a significantly smaller bandgap
compared to Si and suffer from higher BTBT leakage, which can ultimately limit their
scalability. Further, as we scale MOSFETs down to very short channel lengths, the
relation between the long-channel mobility and short-channel drive current is neither
direct nor obvious. In this work, through detailed BTBT (including band structure and
quantum effects), Full-Band Monte-Carlo and 1-D Poisson-Schrodinger simulations on
ultra-thin, nanoscale DG FETs, we systematically compare different double-gate
geometries and high mobility channel materials in terms of the drive current, intrinsic
delay and off-state leakage.
6.2 Benchmarking High Mobility Materials
6.2.1 Channel Materials Investigated
A common terminology used in this chapter is a channel material (x,y) where, x
denotes the Ge content in the channel material and y denotes the Ge content in an
imaginary relaxed (r) substrate to which the channel is strained (s). E.g. (0.3,0) is a s-
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SiGe (with 30% Ge content) channel strained to an underlying Si substrate. (0,0.6) is a
s-Si channel strained to a r-SiGe (60% Ge content) substrate. In this work, we have
looked at all possible strained Si(1-x)Ge(x) alloys grown on relaxed Si(1-y)G(y)
substrates. Four extreme cases are considered:
1) Biaxial tensile strained-Si on relaxed SiGe was varied from (0,0) r-Si to (0,1) s-
Si.
2) Compressive strained-SiGe on relaxed Si was varied from (0,0) r-Si to (1,0) s-
Ge.
3) Tensile strained-SiGe on relaxed Ge was varied from (0,1) s-Si to (1,1) r-Ge.
4) Compressive strained-Ge on relaxed SiGe was varied from (1,0) s-Ge to (1,1)
r-Ge.
Fig. 1 shows the schematic of the device structure, device dimensions and channel
materials that are investigated. The bandgaps (EG), ladders and effective masses used
in this work are taken from [6.9]-[6.10] and are tabulated in Table 6.1.
6.2.2 Transport: Long Channel Mobility vs. ION In Nanoscale FETs
Fig. 6.2 shows the calculated in-plane mobility for the different materials as function
of strain due to the increasing Ge concentration in the SiGe layer. The mobility
dramatically increases with increasing strain and increasing Ge concentration in the
layer because of a reduction in the conductivity mass and the band splitting due to
strain. Since the drive current is determined by a combination of low-field mobility at
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Fig. 6.1. DG FET, with different channel materials, simulated in this study (Lg=15nm, Ts=5nm, Vdd=0.7V).
Table. 6.1. Material parameters for (0,1) s-Si, (1,0) s-Ge, (0,0) r-Si and (1,1) r-Ge, used in this study.
Fig. 6.2. In-plane mobility for the various channel materials. Mobility dramatically increases with increasing strain and Ge concentration.
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the source and the high-field transport near the drain, in extremely scaled MOSFETs,
the relation between the short-channel drive current (ION) and the long-channel
mobility (µ) is not direct or obvious. In order to accurately capture and understand the
transport in nanoscale devices, Full-Band Monte-Carlo simulations were performed.
The results for the drive current enhancement of the different high-mobility materials
are plotted in Fig. 6.3. It is important to note that even though the in-plane mobility
enhancement is predicted to be ~8X higher for tensile strained Si and ~25X higher for
compressive strained Ge (compared to bulk relaxed Si), the enhancements in ION are
only ~1.8X and ~2.5X, respectively. The highest drive currents are obtained from the
compressive s-Ge on r-SiGe substrates, and for s-SiGe channels with very high (>0.8)
germanium content grown on r-Si substrates.
6.2.3 Performance: Intrinsic Delay
Due to its higher dielectric constant (κS), Ge shows worse sub-threshold slope
compared to Si. Further, the lower effective mass in high mobility channel materials
leads to a lower Density Of States (DOS) capacitance. Since the quantum capacitance
comes in series with the oxide capacitance, the magnitude of the quantum capacitance
relative to the oxide capacitance is important. The lower quantum capacitance may
lead to a reduction in the drive current but may not adversely affect the intrinsic delay
of the device, which is determined by CV/ I. Fig. 6.4 shows the intrinsic delay of the
different devices. The lowest delays are obtained from the compressive s-Ge on r-SiGe
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substrates (~1.7X lower than r-Si) and for s-SiGe channels with very high (>0.8)
germanium content grown on r-Si substrates. (~2.2X lower than r-Si) Further, for s-Ge
grown on r-SiGe, the intrinsic delay remains very low (<2X lower than r-Si) and does
not change significantly even as we increase the strain.
6.2.4 Off-state Leakage: Band-To-Band Tunneling (BTBT)
Fig. 6.5 shows a typical Id-Vg characteristic of a p-MOSFET. The minimum
achievable standby leakage (IOFF,MIN) is at the intersection of the BTBT leakage with
the sub-threshold leakage. Most high-mobility materials have a small bandgap and
suffer from excessive BTBT leakage, which can ultimately limit their scalability. To
accurately estimate IOFF,MIN for different materials, we performed detailed BTBT
simulations, which take into account bandstructure information, quantum mechanical
(QM) effects and the direct-indirect valley transitions. Fig. 6.6, plots the IOFF,MIN for
the different (s/r)-SiGe alloys. The leakage currents for s-Si on r-SiGe and s-SiGe on r-
Si increase monotonically with increasing strain and increasing Ge content due to the
rapid reduction in the bandgap and the transport effective mass. The dependence of the
off-state leakage for s-Ge on r-SiGe and s-SiGe on r-Ge is not monotonic and reveals
an optimum point of minimum leakage. This is because of the change in the dominant
BTBT leakage from the direct Γ-valley to the small bandgap X-valley. As we go from
either (1,0) s-Ge or (0,1) s-Si to (1,1) r-Ge, the bandgap increases, due to the decrease
in the splitting of the indirect X-valley. However, (1,1) r-Ge eventually shows a higher
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Fig. 6.3. Full-band Monte Carlo Drive current for the various channel materials. s-Ge on r-SiGe and s-SiGe on r-Si (for x>0.8) exhibit the highest drive currents.
Fig. 6.4. Intrinsic delay for the various channel materials. s-Ge on r-SiGe and s-SiGe on r-Si (for x>0.8) exhibit the highest performance.
Fig. 6.5. I(OFF, min) is the minimum achievable leakage current in a MOSFET.
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leakage than (1,0) s-Ge due to the dominant leakage coming from the low-lying Γ-
valley, which allows for a large direct BTBT leakage component. (0,1) s-Si has the
highest IOFF,MIN because of an extremely small EG. The change in the dominant BTBT
leakage from the decreasing indirect X-valley bandgap to the low-lying direct Γ-valley
leads to an optimum minimum off-state leakage point. This optimal point allows us to
decrease the BTBT off-state leakage by over an order of magnitude by straining the
material.
6.2.5 Benchmarking The Different Materials: Power-Performance
A plot of the switching frequency (fT) vs. the minimum standby leakage (IOFF,MIN)
achievable is a good benchmark to compare different device structures and channel
materials. Fig. 6.7 benchmarks the performance of the different (s/r)-SiGe alloys. The
x-axis (IOFF,MIN) determines if a given material can meet an off-state leakage
specification, while the y-axis (fT) compares the performance of the materials that can
meet the leakage requirements. This is a combination of the Fig. 6.5 and Fig. 6.6. We
find that for higher Ge content (>60%), s-SiGe on r-Si performs much better than s-Si
on r-SiGe, in terms of both, lower off-state leakage and higher switching frequency.
The highest switching frequency is obtained in s-Ge (>2X enhancement compared to
r-Si) on r-SiGe, or s-SiGe with high Ge content (>0.8) on r-Si MOSFETs. We find that
applying biaxial compressive strain to Ge increases its switching frequency while
simultaneously lowering the leakage. The optimum leakage point is obtained for
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Fig. 6.6. IOFF,MIN for the various channel materials. s-Geshows a dramatic reduction in off-state leakage compared to r-Ge because of the lower leakage from the Γ-valley.
Fig. 6.7. fT vs IOFF,MIN for the various channel materials. (1,0.6) s-Ge shows an optimum reduction (>10X) in off-state leakage compared to (1,1) r-Ge and simultaneously achieving higher switching frequencies.
Fig. 6.8. Comparing the relative performance (with r-Si as reference) of compressive biaxially strained (1,0.6) s-Ge to (0,0) r-Si, (0,1) s-Si, (1,1) r-Ge and (1,0) s-Ge.
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(1,0.6) s-Ge (>10X reduction compared to r-Ge), which has a ~2.2X enhancement in
switching frequency (compared to r-Si). Fig. 6.8 shows the relative performance of
(1,0.6) s-Ge compared to (0,0) r-Si, (0,1) s-Si, (1,1) r-Ge, (1,0) s-Ge. We find that
among the high mobility materials, (1,0.6) s-Ge has the lowest off-state leakage, while
exhibiting an extremely low intrinsic delay (only marginally worse than (1,0) s-Ge).
This result has interesting implications from a device fabrication and integration point
of view, (1,0.6) s-Ge is a far easier material to work with than (1,0) s-Ge because of
the reduced strain in the layer, increased robustness to high temperature processes and
reduced possibility of defects or strain relaxation.
6.3 Benchmarking High Mobility Device Structures
6.3.1 Double-Gate Geometries Investigated
Fig. 6.9(a)-(c) show the schematic of the device structures and materials that are
investigated. 1(c) is a heterostructure device with a strained-SiGe channel that is
sandwiched between two thin Si caps. The bandstructure for a (1,0) s-Ge
heterostructure is shown in Fig. 6.10. In this work, the s-Si was varied from (0,0) r-Si
to (0,1) s-Si (100%) and the s-SiGe was varied from (1,1) r-Ge to (1,0) s-Ge (100%).
6.3.2 Off-state Leakage: Band-To-Band Tunneling (BTBT)
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As seen in Fig. 6.11, the IOFF,MIN increases monotonically with increasing strain due to
the rapid reduction in the bandgap. (1,1) r-Ge shows higher leakage than (1,0) s-Ge
due to the low lying Γ-valley, which allows for a large direct BTBT leakage
component. (0,1) s-Si has the highest IOFF,MIN because of an extremely small bandgap.
Fig. 6.12 shows that we can further reduce the leakage component in (1,0) s-Ge
MOSFETs by using a heterostructure DG MOSFET. For a Ge thickness (TGe) <~2nm,
the IOFF,MIN rapidly drops by over an order of magnitude due to the large quantization,
which increases the effective bandgap (Fig. 6.13). Thus, by varying the Si capping
layer thickness (TSi cap) and the Ge thickness (TGe) we can effectively use the
heterostructure double-gate geometry to control the device off-state leakage.
6.3.3 Scalability: Short Channel Effects (SCE)
Due to its higher dielectric constant (κS), Ge shows worse SCE compared to Si. The
main concern with heterostructure FETs is the reduced electrostatic control due to the
channel being further away from the gate insulator interface. As shown in the Fig.
6.14, for a given TS and LG, several sets of simulations were performed, where TGe/TS
goes from 0% (surface channel Si) to 100% (surface channel Ge). Then, using TS and
LG as parameters, the Drain Induced Barrier Lowering (DIBL) is plotted in Fig. 6.15
(a)-(b) and Sub-threshold Slope (SS) is plotted in Fig. 6.16 (a)-(b). The surface
channel Ge (TGe/TS= 100%) shows slightly worse SCE due to its higher κS and the
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Fig. 6.9. Device structures – surface channel and heterostructures with different channel materials.
Fig. 6.10. Band structure for the r-Si/s-Ge/r-Si heterostructure.
Fig. 6.11. I(OFF,min) for different materials. (0,1) s-Si shows the highest leakage.
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Fig. 6.12. I(OFF,min) for the different materials compared to the heterostructure.
Fig. 6.13. Bandgap increases due to quantization.
Fig. 6.14. To benchmark the short channel effects, the ratio of TGe/Ts was varied from 0% (surface channel Si) to 100% (surface channel Ge).
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worst SCE occurs in the device where TGe/TS = 25%, where the channel is the
farthest from the gate. The SCE is around ~5-10% worse for the worst-case (25%)
device, meaning that its LG would have to be ~5-10% longer or TS ~5-10% thinner to
achieve the same electrostatic control compared to the surface channel. However, due
to the strong gate coupling to the channel in the double-gate geometry, the overall
SCE values for all the DG FETs are excellent and quite comparable.
6.3.4 Performance: Drive Current (ION) And Intrisic Delay (ττττ)
In order to accurately estimate the transport in highly scaled MOSFETs, Full-Band
Monte-Carlo simulations need to be performed. As shown in Fig. 6.17, (1,0) s-Ge
exhibits the highest drive current (ION) due to its dramatically reduced transport mass.
The drive currents for the (1,0) s-Ge heterostructures are shown in Fig. 6.18. Due to
their lower capacitance and worse sub-threshold slope, the heterostructures show a
slightly lower drive compared to the surface channel MOSFET. However, the
reduction in the drive current due to lower capacitance may not adversely affect the
intrinsic delay of the device (CV/ I). The lower capacitance could also lead to a
reduction in the active power dissipation (CV2f). As seen in Fig. 6.19, due to its lower
capacitance and high drive current, the optimal delay is obtained in a heterostructure
FET with TGe ~2nm.
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Fig. 6.15 (a) and (b). Subthreshold Slope as a function of total channel thickness and channel length.
Fig. 6.16 (a) and (b). DIBL as a function of total channel thickness and channel length.
Fig. 6.17. I(ON) for different materials. (1,0) s-Ge shows the highest leakage.
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6.3.5 Benchmarking The Different Device Structures: Power-
Performance
A plot of the switching frequency vs. the minimum standby leakage achievable is a
good benchmark to compare different device structures and channel materials. In Fig.
6.20, we find the performance of (0,0.6) s-Si and (0.6,0) s-SiGe p-MOSFETs are very
comparable. However, as we scale to higher mobility materials, s-SiGe rapidly
outperforms s-Si. Further, by using (1,0) s-Ge heterostructure p-MOSFET, the
switching frequency can be increased (>4X compared to surface channel r-Si control)
and simultaneously, the standby leakage can be further sharply reduced (<10X
compared to surface channel s-Ge).
6.4 Conclusion
The optimal channel materials and device structures for future nanoscale p-MOSFETs
are obtained through detailed BTBT (including band structure and quantum effects),
Full-Band Monte-Carlo and 1-D Poisson-Schrodinger Simulations on ultra-thin (5nm),
nano-scale (15nm) DG MOSFETs. The tradeoffs between drive current (ION), intrinsic
delay (τ), band-to-band tunneling (BTBT) leakage, short channel effects (SCE) and
long-channel mobility (µ), have been systematically compared in futuristic high
mobility channel materials, like strained-Si (0-100%), strained-SiGe (0-100%) and
137
Fig. 6.18. Effect of Ts variation on the I(ON)
of the heterostructure.
Fig. 6.19. Intrinsic delay of different materials. ~2nm heterostructure is optimal.
Fig. 6.20. Switching frequency vs leakage current to benchmark the different materials and structures.
138
relaxed-Ge. Our results show that (x,0) strained-SiGe becomes the material of choice
compared to (0,x) strained-Si for x>0.6. The highest performance is obtained in
compressively strained-Ge MOSFETs (>2X enhancement compared to r-Si). Applying
biaxial compressive strain to Ge increases its performance while simultaneously
lowering the leakage. The optimum leakage point is obtained for (1,0.6) s-Ge (<10X
compared to r-Ge). The heterostructure DG MOSFET geometry can further increase
the switching frequency (>2X) and reduce the off-state leakage (<~10X) compared to
a surface channel FET from the same material. The best channel material and device
structure for optimal performance can be obtained in a sub-20nm, (1,0) s-Ge
heterostructure p-MOSFET with an ultra-thin (~2nm) strained-Ge channel.
139
Chapter 7
Future Research Directions
The following is a list of different suggestions, in which the current work may be
extended in future research directions:
7.1 Materials And Device Structures For High Mobility n-MOSFETs
Due to their small �
-valley electron mass, Ge and III-V materials like GaAs, InAs and
InSb are being investigated as high mobility channel materials for high performance
NMOS. The performance limits of ultra-thin body DG MOSFETs using III-V
materials, like GaAs, InAs and InSb, have been compared to Si and Ge [7.1]. An
analytical ballistic model, including all the valleys (�
-, X- and L-), was used to simulate
the source to drain current. The band-to-band tunneling (BTBT) limited off currents,
including both the direct and the indirect components, were simulated using TAURUSTM
(Fig. 1). The results show that at significantly high gate fields, the current in the III-V
materials is largely carried in the heavier L-valleys than the lighter �
- valleys, due to the
140
low density of states (DOS) in the �
, similar to current conduction in Ge (Fig.2). Further,
the high-mobility / small-bandgap materials, like InAs, In Sb and Ge suffer from
excessive Band To Band Tunneling (BTBT) (Fig.3) leakage and Short Channel Effects
(SCE) (Fig. 4), which limits their scalability. GaAs has a significantly higher ION and
lower intrinsic delay at a reduced IOFF, when compared to Si, making it a very promising
candidate for future scaled n-MOSFETs (Fig. 5).
Further material optimization can be made by considering quaternary (or ternary) alloys,
such as InGaSbAs, which allows for a tradeoff between the mobility and bandgap.
Device optimization can be explored by using heterostructures in the channel [7.2],
which allow a tradeoff between the channel control and bandgap.
7.2 Center Channel (CC), Depletion-Mode (DM) Double-Gate (DG)
FETs For Ge NMOS
We have presented a novel Depletion-Mode Double-Gate (DMDG) MOSFET, which
shows enhanced performance by exploiting new transport ideas. The carriers in the
DMDG FET are confined to the center of the silicon body (Fig. 6) and do not suffer
from mobility degradation due to the vertical field because of the zero vertical E-field
in the center of a double gate device (Fig. 7). Process, device and circuit simulations
verify that the DMDG FET exhibits excellent short channel control, low threshold
voltage variation with the body thickness and high Ion/Ioff ratios. The device has a very
141
Fig. 7.1. Schematic of the device structure and the models used to calculate ballistic transport.
Fig. 7.2 (a). Electron sub-band energies and occupancies for Si and Ge.
Fig. 7.2 (b). Electron sub-band energies and occupancies for GaAs, InAs and InSb.
142
Fig. 7.3. Band-To-Band-Tunneling limited Off current in the different materials.
Fig. 7.4. Short Channel Effects in the different materials, (a) as a function of variations in TS and (b) as a function of variations in LG.
Fig. 7.5. Intrinsic gate delay vs. off-state leakage for all the different materials considered.
143
good circuit performance in terms of FO4 power-delays and shows great potential in
scaling devices down to sub-20nm dimensions [7.3]. As shown in Fig. 8 and Fig. 9,
since the carriers are pushed away from the interface, they are not significantly
affected by scattering at the semiconductor-insulator interface. This allows for easier
integration of novel high mobility channel materials with high-k dielectric materials.
However, due to the doped body, the carriers suffer some mobility degradation,
primarily due to ionized impurity scattering.
As shown in Fig. 10, even at the large doping levels required for the depletion-mode
of operation, the ionized impurity scattering for carriers in Ge is still relatively weak
and leads to high mobility values.
The poor performance obtained experimentally for Ge NMOS is often attributed to a
poor Ge/high-k interface. In the case of Ge, it is worth investigating the performance
of a DMDG n-MOSFET because it allows us to effectively decouple the electrons
from the interface.
7.3 Germanium And Heterostructure Nanowire MOSFETs
Recently, chemically derived nanotube and nanowire materials have attracted much
attention as candidates for future electronics components including field effect
transistors. Currently, for further device scaling and miniaturization, germanium is of
renewed interest as an electronic material to potentially compliment silicon due to its
144
Fig. 7.6. Working of the DM DG FET compared to a conventional DG FET, with the channel in the center as opposed to the channel at the surface.
Fig. 7.7. (left) Conventional DG FET with the peak carrier concentrations in regions of high E-field at the surface and (right) the DMDG FET with the peak carrier concentration in the center, where the E-field is zero.
Fig. 7.8. Potential profile showing change from conventional DG FET to DM DG FET operation as we increase the channel doping.
145
Fig. 7.9. Lowest energy wavefunction for the conventional DG and the DMDG device in the ON state.
Fig. 7.10. The predicted E-field dependent mobility and the concentration dependent mobility for Si and Ge.
146
higher carrier mobility and the trend in gate dielectrics evolution. We have
demonstrated controlled synthesis of single crystalline Ge nanowires and the
fabrication of Ge nanowire field effect transistors [7.4], with a focus on exploring the
potential advantages or unique features promised by bottom up chemical routes,
namely, the ability of size control, flexibility of substrates and high performance of
device prototypes. Single crystalline Ge nanowires with diameters controlled at ~ 20
nm, 6 nm and 3 nm are readily obtained at synthesis temperatures below 300 ºC by
VLS growth (Fig. 11). Growth of high quality Ge nanowires on soft plastic and
polymer substrates was achieved. Ge nanowire field effect transistors operating in the
depletion-mode, with SiO2 and high dielectric constant HfO2 gate insulators exhibit
high hole-mobility (estimated to be ~ 600 cm2/V-s) (Fig. 12). An important feature of
the Ge nanowire transistors is that the processing temperature for the synthesis and
every fabrication step is �
400 ºC, opening a possibility of three-dimensional
integrated circuits comprised of chemically derived Ge nanowires.
Opertaing similar to the Double-Gate heterostructures or Depletion-Mode FETs that
we have studied [7.5-7.6], nanowire surround-gate FETs with hetero-shells comprising
of layers of strained or relaxed-Si, Ge or SiGe can be envisioned. These devices, can
fabricated by a bottom-up technique and would offer the best properties of high-
mobility transport combined with the superior electrostatic control of surround-gate
FETs.
147
Fig. 7.11. (top) TEM image of a 4nm nanowire growing from a 3nm particle and (bottom) HR TEM showing the lattice structure of a 3nm nanowire.
Fig. 7.12. (a) Tope view SEM of the device showing S/D regions, the nanowire bridge on the SiO2 dielectric. (b) Schematic side view of the device. (c) Id-Vg curves for the device at different drain biases. (d) Id-Vd curves for the device at different gate biases. (e) The estimated mobility for the device as a function of gate bias.
148
7.4 Effect Of Process Induced Variation (PIV) On Device
Performance In High Mobility MOSFETs
We have developed a self-consistent, analytical simulator that captures all the physical
phenomena in DGFETs accurately [7.7]. The simulator includes models to capture
carrier quantization in thin bodies, short channel effects and ballistic currents (Fig. 13).
Using this new tool to compare the effect of variations on Si and Ge NMOS DGFETs,
we find that Ge devices are very strongly affected by Process Induced Variations (Fig.
14). In the case of DGFETs designed to meet the ITRS High Performance (HP)
requirements, Ge outperforms Si. However, due to its lower immunity to PIV, in the
case of DGFETs designed to meet the ITRS Low Standby Power (LSTP)
requirements, Ge performs worse than Si (Fig. 15). This effect is further exacerbated
as we scale the technology node to smaller dimensions.
The effect of Process Induced Variation (PIV) is becoming increasingly important in
device design. The above methodology compares the ballistic performance of different
high mobility channel materials and device structures under the influence of PIV and
can easily be employed to benchmark different materials, like carbon nanotubes, III-V
compounds, strained-Ge/Si etc. and device structures, like heterostructure, double-
gate, tri-gate, surround-gate nanowire FETs etc.
149
Fig. 7.13. Flowchart showing the simulation methodology used.
Fig. 7.14. Comparison of the Id-Vg for the worst-case ON device to the nominal for Si and Ge.
Fig. 7.15. Effect of the worst-case Process Induced Variation (PIV) for Si and Ge devices, as we scale down from 25nm to 14nm.
150
7.5 Modeling Schottky-Barrier Carbon Nanotube MOSFETs In The
Ballistic Regime
The theoretical performance of Carbon Nanotube Field Effect Transistors (CNFETs)
with Schottky barriers (Fig. 16) was examined by means of a ballistic model [7.8]. A
novel approach was used to treat the Schottky barriers at the metal-nanotube contacts
as mesoscopic scatterers (Fig. 17). Evanescent-mode analysis was used to derive a
length-scale and potential profile for the device. Using this model, we observed that
despite the very short scale lengths of these devices the current is still suppressed
noticeably by Schottky barriers (Fig. 18). The upper limit of the current is still an order
of magnitude higher than the best experimental data, which hints that most of the
fabricated devices may still suffer from contact issues. Carrier scattering due to
excitation of optical phonons at higher biases, will also degrade channel transmission
and the ON current. We have successfully developed a model, suitable for
implementation in SPICE®, which captures the effects of the SB in CNFETs and its
consequences on degradation of the drain current and the quantum conductance. We
have also derived a length-scale for CNFET devices based on evanescent-mode
analysis and explored various device design parameters such as oxide thickness (Fig.
19), tube diameter, chirality (Fig. 20) and SB height.
The model developed to simulate CNFETs can now be used to carry out a systematic
comparison between SB CNFETs with other high mobility FETs in the ballistic regime
to evaluate their ultimate circuit performance. The above model was developed for a
151
Fig. 7.16. (a) Device geometry cross-sections along the channel direction and normal to the nanotube. (b) Energy in the radial direction with the superimposed E-k diagram.
Fig. 7.17. Energy distribution of the carriers and the chemical potential, in the presence of a scattering center before the ballistic channel.
152
Fig. 7.18. Id-Vd plots for a (10,0) nanotube with d=0.8nm, tox=4nm, εox=20, EG =1eV and L=100nm, with varying Schottky barrier heights.
Fig. 7.19. Id-Vd plots for a (19,0) nanotube with mid-gap schottky barrier and varying oxide thicknesses.
Fig. 7.20. Id-Vd for a (19,0) nanotube (zigzag, dash-dotted line), (18,2) nanotube (chiral,dashed line) and (16,5) nanotube (solid line).
153
carbon nanotube SB FET but can be extended to analyze and compare future high-
mobility MOSFETs using SB and doped S-D junctions for their contacts. The tradeoffs
are mainly between the tunneling resistance component of the schottky barrier and the
parasitic series resistance of a doped S-D junction.
7.6 Band-To-Band-Tunneling Modeling, Device Structures And
Experiments
We have developed a Band-to-Band Tunneling model, which captures band structure
information, all possible transitions between bands (Full Band) (Fig. 21), energy
quantization and quantized density of states (Fig. 22) [7.9]. This new model is
implemented to study 15nm DGFETs with various futuristic high-mobility channel
materials, like GaAs, InAs, Ge and strained Si/Ge. The possibility of adopting these
new materials, in terms of BTBT leakage current, is examined. We suggest a new
design rule (Fig. 23), which constrains the maximum allowable VDD at a given body
thickness, to meet the Off-state specifications in DGFET with various high-mobility /
small bandgap channel materials.
Modeling and understanding BTBT for different device structures and novel high
mobility channel materials is an extremely important study. As seen from some of our
earlier discussion [7.5-7.6], this work will allow us to evaluate novel high mobility
materials in terms of their scalability and to come up with innovative structures and
154
Fig. 7.21. All possible (direct and indirect) tunneling paths, Γ-Γ, Γ-X and Γ-L are captured by the model.
Fig. 7.22. Ultra-thin body and larger quantization increases the effective bandgap and lowers the tunneling rate.
Fig. 7.23. Iso-leakage (Ioff,min) contours. The curves determine the maximum allowable Vdd to meet the ITRS off-current requirement for a LG=15nm device at a given body thickness. s-Si cannot be used for >0.5V operation, Ge and InAs can be used for 0.9V operation when TBody <5nm. For TBody <7nm s-Ge can be used for >1V operation. Si and GaAs comfortably meet the ITRS off-current specification because of their large bandgap.
155
physics, which can allow us to reduce the BTBT leakage component in small bandgap
materials.
On the other hand, we would like to investigate novel BTBT FETs, which utilize the
tunneling mechanism, to obtain extremely steep sub-threshold slopes (faster than
‘kT/q’) and high drive currents [7.10]. This requires the development and use of very
accurate BTBT models to capture all the essential physical mechanisms. Simulations
and experiments to understand these device structures will also be extremely useful.
156
Chapter 8
Conclusions
Due to several fundamental and manufacturing limits, it is becoming clear that
new materials and/or structures will be needed to supplement or even replace the
conventional bulk MOSFET in future technology generations. In this thesis, we have
introduced novel, strained germanium, heterostructure, Double Gate (DG) MOSFETs,
which can significantly reduce the off-state leakage currents, while retaining their high
current drivability and excellent electrostatic control.
We have looked at the various challenges encountered in improving the
performance of nanoscale MOSFETs. Some of the current approaches to engineering
the device structure and the channel material to improve the overall device
performance have been discussed. The very high channel mobility in strained-SiGe
combined with its ease of integration into a conventional Si substrate technology,
makes it a very attractive material for future nanoscale MOSFETs. We have presented
the electrical and material properties, the growth technologies, and some of the recent
experimental results obtained on strained-SiGe MOSFETs. The electrical properties,
like bandstructure, effective mass and carrier mobility, of Si(1-x)Gex alloys going
157
from Si(x=0) all the way to Ge(x=1) and the effect of strain on their bandstructure,
have been examined. Some of the key material properties and growth technologies,
which are currently being researched, to enable the use of strained-SiGe alloys as high
mobility channel materials in nanoscale MOSFETs, have been discussed. Finally, we
have looked at some of the state-of-the-art experimental research results on p-
MOSFETs utilizing strained-SiGe layers with high Ge fraction (>0.5) for hole
mobility enhancement.
Large Band-To-Band Tunneling (BTBT) leakage currents can ultimately limit
the scalability of high mobility (small bandgap) materials. We have introduced novel
Heterostructure DGFETs, which can significantly reduce the BTBT leakage currents,
while retaining their high current drivability and excellent electrostatic control. In
particular, through 1-D Poisson-Schrodinger, Full-band Monte-Carlo and detailed
BTBT simulations, we have thoroughly analyzed high mobility, sub-20nm, Si-strained
SiGe-Si, heterostructure PMOS DGFETs with very high Ge concentration. Our results
show a dramatic (>100X) reduction in BTBT and excellent electrostatic control
(<10%), while maintaining very high drive currents (~50%), cut-off frequencies
(1000GHz) and lower power dissipation (compared to conventional Si devices),
making them suitable for scaling into the sub-20nm regime.
For the first time, the tradeoffs between higher mobility (smaller bandgap)
channel and lower Band-To-Band-Tunneling (BTBT) leakage have been investigated.
In particular, through detailed experiments and simulations we examine the transport
and leakage in ultra-thin, strained-Ge MOSFETs on bulk and SOI. In the case of
158
strained-Ge MOSFETs on bulk Si the resulting optimal structure obtained was an
ultra-thin, low defect, 2nm fully strained Ge epi channel on relaxed Si, with a 4nm Si
cap layer. The fabricated device shows very high mobility enhancements >3.5X over
bulk Si devices, 2X mobility enhancement and >10X BTBT reduction over 4nm
strained Ge and surface channel strained SiGe (50%) devices. Strained-SiGe
MOSFETs having ultra-thin (UT) (TGe<3nm), very high germanium fraction (~80%)
channel and Si cap (TSi cap<3nm) have also been successfully fabricated on thin
relaxed SOI substrates (TSOI=9nm). The tradeoffs in obtaining a high mobility
(smaller bandgap) channel with low tunneling leakage, on UT-SOI, have been
investigated in detail. The fabricated device shows very high mobility enhancements
of >4X over bulk Si devices, >2.5X over SSDOI (strained to 20% relaxed SiGe)
devices and >1.5X over 60% strained SiGe (on relaxed bulk Si) devices.
The optimal channel materials and device structures for future nanoscale p-
MOSFETs are obtained through detailed BTBT (including band structure and
quantum effects), Full-Band Monte-Carlo and 1-D Poisson-Schrodinger Simulations
on ultra-thin (5nm), nano-scale (15nm) DG MOSFETs. The tradeoffs between drive
current (ION), intrinsic delay (τ), band-to-band tunneling (BTBT) leakage, short
channel effects (SCE) and long-channel mobility (µ), have been systematically
compared in futuristic high mobility channel materials, like strained-Si (0-100%),
strained-SiGe (0-100%) and relaxed-Ge. Our results show that (x,0) strained-SiGe
becomes the material of choice compared to (0,x) strained-Si for x>0.6. The highest
performance is obtained in compressively strained, Ge MOSFETs (>2X enhancement
159
compared to r-Si). Applying biaxial compressive strain to Ge increases its
performance while simultaneously lowering the leakage. The optimum leakage point
is obtained for (1,0.6) s-Ge (<10X compared to r-Ge). The heterostructure DG
MOSFET geometry can further increase the switching frequency (>2X) and reduce the
off-state leakage (<~10X) compared to a surface channel FET from the same material.
A good combination of channel material and device structure for optimal performance
can be obtained in a sub-20nm, (1,0) s-Ge heterostructure p-MOSFET with an ultra-
thin (~2-3nm) strained-Ge channel.
160
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