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LI, WENMEI. Characterization of High-

κ

Gate Stacks in Metal-Oxide-Semiconductor

Capacitors. (Under the direction of Dr. Dennis M. Maher)

The purpose of this research has been to use off-line characterization techniques to

establish material-specific properties of gate-stack constituents (i.e., high-κ dielectric stacks

and electrodes) and complete gate-stack structures. Hence, the characterization

methodologies were established to evaluate high-κ dielectrics at various processing levels,

which, in part, determine the final characteristics of an advanced gate-stack device. Material

systems that were investigated include: Al-O, Hf-Si-O, Zr-Si-O, Ti-O, Ta-O and Sr-Ti-O.

Various physical and electrical characterization techniques were used to establish

fundamental understandings of the materials selected, thin-film growth/deposition processes,

and gate-stack structures. General conclusions for stable and unstable gate-dielectric

materials have been established regarding the presence of a problematic interfacial layer at

the Si/dielectric interface, graded dielectric layers, and the stability of gate electrodes on

high-κ dielectrics.

The nanometer-scale chemistry of a gate-stack capacitor whose expected structure is

Si/SiOXNY/Ta2O5/TiN/Al was studied by high-resolution electron-energy-loss spectroscopy

in a scanning transmission electron microscope. Elemental profiles with near-atomic-level

resolution for Si, Ti, N, Al, and O demonstrate that the device structure deviates drastically

from the expectation and is chemically complex. It is concluded that the graded distribution

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model that assumes abrupt interfaces and chemically discrete layers. This study impacted on

subsequent interpretations of flatband voltage extractions and electrical degradation

following backside metallization/postmetallization annealing for capacitors whose

dielectric-stack was based on Ta-O.

Detailed and extensive electrical characterizations of Pt/SiOx/Sr-Ti-O/SiMOS capacitors

were carried out to investigate reliability issues in a bi-layer gate dielectric. Based on these

studies, models are proposed to describe the carrier transport and dielectric degradation for a

Sr-Ti-O capacitor. It is concluded that conduction is dominated by Frenkel-Poole emission

from mid-gap trap levels. The trap barrier height is estimated to be 1.51eV. A model based

on the atomic and electronic structure of oxygen vacancies can account for the reported

leakage-current characteristics. In addition, it is tentatively proposed that anode-hole

injection and hole trapping control the dielectric degradation under gate injection.

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CHARACTERIZATION OF HIGH-

κκ

GATE STACKS IN

METAL-OXIDE-SEMICONDUCTOR CAPACITORS

by

WENMEI LI

A dissertation submitted to the Graduate Faculty of North Carolina State University

in partial fulfillment of the requirements for the Degree of

Doctor of Philosophy

MATERIALS SCIENCE AND ENGINEERING

Raleigh

December 15, 2000

APPROVED BY:

Chair of Advisory Committee – D. M. Maher G. Lucovsky

J. J. Hren

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To my parents, Li, Zhenfu and Ge, Ronghuai

and

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iii

Wenmei Li was born to Zhenfu Li and Ronghuai Ge in Baotou, Inner-Mongolia, China.

Upon completion of high school at her hometown in 1984, she entered Xi’an Jiaotong

University, Xi’an, China, where she majored in Materials Science and Engineering. She

spent seven years there and received her Bachelor and Master degrees in 1988 and 1991,

respectively. Her research project for the Master’s degree focused on surface modification of

metallic materials by thin-film deposition (CVD, PVD, etc.). She then joined Yangzhou

University as an assistant professor in the College of Engineering, where she lectured

“Physical Metallurgy”, “Engineering Materials”, and “Professional English for Mechanical

Engineers”. The research projects she worked on were “plasma and laser co-assisted CVD

silicon nitride”, “properties and technologies of electroless-plated nickel-composite

coatings”.

Motivated to pursue a Ph. D. degree, she applied to graduate schools in the United State.

In the fall of 1997, she was awarded a research assistantship in Dr. Narayan’s group,

Materials Science and Engineering Department at North Carolina State University (NCSU).

The second semester, she worked for the department as a TA of an undergraduate course

“Electronic Properties Laboratory” and started taking courses in semiconductor physics and

fabrication, where she found what her interests really were. In May of 1998, she was awarded

a research assistantship by Dr. Dennis M. Maher in the SRC/SEMATECH Research Center

for Front End Processes, working on a gate-stack study for advanced MOS technology. Her

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Upon finishing her Ph. D. in December of 2000, she will join the Advanced Micro

Devices, Inc., working in a non-volatile memory technology development group at

Sunnyvale, California.

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v

I am deeply indebted to my teacher, Dr. Dennis M. Maher, for providing me an opportunity

to be his student, for leading me to this active research area, and making possible a life that

could not have been imagined just three years ago. Thanks for his support, guidance, wisdom

and kindness in teaching and encouraging me, not only professionally, but also personally,

during my graduate studies at NCSU. I also would like to acknowledge Dr. John J. Hren, Dr.

Gerald Lucovsky, and Dr. Veena Misra for the many useful technical discussions and the

educational courses they taught. Special thanks should go to my SRC mentors: Dr. Kurt

Eisenbeiser, Dr. David Muller, and Dr. Malcolm Bevan, for their help in many respects. I

would like to thank Dr. Jagdish Narayan for initially providing me with the opportunity for

graduate study at NCSU.

It has been a very pleasant experience to work in a large research center. I would like to

thank all the staff of NCSU’s microelectronics laboratory for their assistance during device

experiments. Many thanks to my former and current colleagues in Dr. Maher’s group,

including Meimei Xu, Shengqiang Wang, Dr. David Venables, Dr. Ranju Venables, Chadwin

D. Young, and Dr. Wei Liu. I also would like to extend my appreciation to individuals of

other groups in the SRC/SEMATECH Research Center for Front End Processes, including

Dr. Zhigang Wang, Dong Niu, Dr. Tonya Klein, Manoj Kulkarni, and Greg Heuss, for their

help and valuable discussions. I also like to thank Alex Kvit for his help in TEM.

Special thanks go to many of my friends who have cared about me for years. Their

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Love to my parents, family, and sweet kisses to my daughter, the best gift from God. My

parents, Zhengfu Li and Ronghuai Ge, have always been with me in my life, and they

deserve my deepest gratitude. I want to thank my siblings for always being close to me.

Many thanks go to my in-laws for their love and unconditional support. Finally, my deepest

love and gratitude go to my husband, Guobin, for his love, patience, and enduring support.

Financial support for this research was provided by the SRC/SEMATECH Research

Center for Front End Processes at North Carolina State University. The Sr-Ti-O research was

conducted, in part, during a summer internship at Motorola Physical Sciences Research

Laboratories at Tempe, Arizona. I really appreciate the help from Jeffrey Finder, Dr. Kurt

Eisenbeiser, Dr. Alex Demkov, Dr. Peter Fejes, Dr. Ran Liu, and Dr. Shifeng Liu. Their

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vii

Table of Contents

List of Tables ... ix

List of Figures ... x

1 Introduction... 1

1.1 A Bit of History ... 1

1.2 MOSFET Scaling – Approaches... 1

1.3 Challenges of Device Scaling in Front-end Processes... 2

1.3.1 Alternative Gate Dielectrics – Where are we going?...3

1.3.2 Gate Electrodes – Where are we going? ...5

1.3.3 Characterization of Material Systems...5

1.4 How to Meet These Challenges? ... 6

1.4.1 Selection Rules for Alternative Gate Dielectrics ...7

1.4.2 Proposed Gate-stack Structures ...9

1.4.3 Choosing an Engineered Interfacial Layer ...9

1.5 Interface Properties – Constraint Theory ... 10

1.6 Scope of the Present Research ... 12

1.7 Thesis Outline ... 14

2 Experimental and Characterization Methodologies... 19

2.1 MOS Device – Fabrication ... 19

2.2 Physical and Chemical Characterization Techniques ... 20

2.2.1 TEM, STEM, and EELS Analysis ...20

2.2.2 TEM Specimen Preparation Techniques – Wedge versus Conventional Dimpling...22

2.2.3 X-ray Photoelectron Spectroscopy ...23

2.2.4 Narrow Resonance Nuclear Reaction Profiling...23

2.3 Electrical Characterization Techniques ... 24

2.3.1 C-V Measurement...24

2.3.1.1 C-V Modeling and Simulations ... 24

2.3.1.2 C-V Data Acquisition and Analysis... 26

2.3.2 I-V Measurement ...28

2.3.3 Oxide Integrity Measurements...28

2.3.4 Interface State Characterization...29

2.3.4.1 Extraction of Dit from a Conductance Measurement ... 30

3 Characterizations of High-

κ

Gate Stacks ... 47

3.1 Thermodynamically Stable Systems... 47

3.1.1 The Al-O System ...47

3.1.2 The Hf-Si-O and Zr-Si-O Systems ...48

3.1.3 Discussion ...50

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3.2 Thermodynamically Unstable Systems... 53

3.2.1 The Ti-O System...53

3.2.2 The Ta-O System ...55

3.2.2.1 Process Optimization and Thermal Stability ... 55

3.2.2.2 Electrical Characterizations ... 56

3.2.2.3 Nano-scale Chemistry Study... 58

3.2.2.4 Discussion ... 60

3.3 Summary ... 62

4 Studies of Ultrahigh-

κ

Gate Stacks – Epitaxial SrTiO3... 79

4.1 Carrier Transport Mechanism in STO ... 79

4.2 Characterization of Oxide Charges... 106

4.3 Reliability Issue – Dielectric Degradation Under Stress ... 108

4.3.1 TZDB Characteristics ...108

4.3.2 TDDB Characteristics...110

4.4 Discussion ... 111

4.5 Conclusions... 113

5 Summary and Future Work... 124

5.1 Concluding Remarks... 124

5.2 Future Work ... 127

Appendix A. Mass-thickness Contrast for Amorphous Materials ... 129

A.1 General Approach for Single Atomic Species ... 129

A.2 General Approach for Compounds ... 130

A.3 Elastic Cross-section... 131

A.4 Inelastic Cross-section ... 131

A.5 Contrast Calculations ... 132

A.6 Resolution Considerations ... 133

A.7 Imaging Conditions... 135

A.8 Conclusion ... 136

Appendix B. Calculation of Silicon Surface Potential as a Function of Gate Bias ... 140

B.1 General Equations... 140

B.2 Accumulation Region ... 141

B.3 Inversion Region... 141

B.4 Example ... 143

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ix

List of Tables

Table 1.1 Scaling of MOSFET at device and circuit level ... 15

Table 1.2 Technology generations predicted by The International Technology

Roadmap for Semiconductors: 1999... 15

Table 1.3 Front End Process Difficult Challenges – Issues related to gate

stacks... 16

Table 1.4 Nav and Cav for various gate dielectrics based on constraint theory... 16

Table 2.1 Basic conduction mechanisms and their temperature and voltage

dependence characteristics, according to [45] ... 35

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x

List of Figures

Figure 1.1 (a) device dimensions before scaling, and (b) device dimensions

after constant-field scaling by a factor αα. ...17

Figure 1.2 Conduction and valence band offsets for metal oxides and silicates,

based on J. Robertson’s data...17

Figure 1.3 Schematic illustration of proposed gate stack structures with and

without an engineered interfacial layer...18

Figure 1.4 Interface-defects-generation probability in gate-stack structures with

and without an engineered interface layer ...18

Figure 2.1 Schematic representations of the MOS capacitors fabricated for this study; (a) field-oxide isolated capacitor and (b) blanket gate dielectric with the gate electrode defined by a shadow mask or

lithography. ...37

Figure 2.2a System configuration: the system is calibrated so the spindle is perpendicular to the platen and provides a real-time measurement of the amount of material removed in 1µµm increments via a digital dial indicator. The platen rotation speed, the sense of the rotation and the

load are variables. ...38

Figure 2.3b System configuration: the wedge angle is adjustable in increments of 0.02° using the micrometers located at the base of the spindle. Only the specimen makes contact with the abrasive during the polishing, ensuring that the angle remains approximately constant throughout

the polishing process...38

Figure 2.4c The schematics depict the angle adjustment plates and the orientation of the pivot points used to define the angles. Points B and C are micrometers that are oriented 90° from a fixed pivot point A. The line AC is parallel to the edge of the specimen. This design allows for true pitch and roll adjustments. The micrometers are used to adjust the angle of the lower specimen mounting plate. Axial (front-to-back) adjustments are made using micrometer B. Radial

(left-to-right) adjustments are made using micrometer C. ...39

Figure 2.5d Optical micrographs comparing TEM specimens in transmitted light. The color gradient in (a) is due to a gradual increase in thickness. The light orange color at the edge of the crystal indicates a thickness of ~1 µm. Wedge polishing shows much larger area of electron transparency along the edge of the specimen compared to dimple

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Figure 2.6e Two-types of wedge specimens are shown schematically: (a) a razor-blade style specimen, where the interface of interest is parallel to the edge of the specimen, a cover slip is used for surface protection; and (b) door-wedge style specimen, where a sandwich is made by gluing two wafer pieces of interest facing each other and the interface of

interest is perpendicular to the edge of the specimen. ...40

Figure 2.7f Illustration of site-specific sampling from device wafers. Photomicrograph shows the desired site to be sampled and the direction through which cross sectioning must be achieved. These devices are capacitors terminated by a field oxide. The features of interest are a field-oxide at the bird’s beak and the gate-stack dielectric/electrode. A razor-blade style specimen is made in this

case...40

Figure 2.8 Wedge polishing: illustration of site-specific data. Low-magnification image showing a portion of a fully fabricated capacitor including the bird’s beak (FOX) isolation (in a); a high-resolution image showing the stacked-gate dielectric (in b); and the scaling factor for metric extractions as well as the extracted metrics

(right). ...41

Figure 2.9 Wedge polishing: illustration of a long uniformly thinned region of a poly-gate capacitor – a low-magnification micrograph (BF) (in a) and a high-resolution field-of-view showing the advanced gate dielectric (N/O) and poly-silicon gate electrode (in b). The ion

milling time was ~ 10 minutes...41

Figure 2.10 Schematic illustration of the quantum mechanical effect in NMOS at the inversion region. The discrete energy levels are formed inside the potential well at the interface. The lowest subband energy level is above from the conduction band edge. As a result of subband formation, the peak of the carrier concentration in QM case is shifted away from the interface as compared to the classical case, leading to a decreased capacitive contribution from the substrate, and hence, a capacitance equivalent oxide thickness higher than the physical

thickness...42

Figure 2.11 NCSU CVC simulations showing theoretical C-V plots in the ideal case as well as with quantum and/or poly-depletion effects. The NMOS capacitor parameters used for simulations are: tox = 2 nm,

VFB = -1.03 V, Nsub = 2 ×× 1017 cm-3, Npoly = 1 ×× 1020 cm-3, Area = 1 ××

10-4 cm2. The QM effect contributes 2.5 Å to CET. CET increases 3 Å when both quantum and poly-depletion effects are present at the

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Figure 2.12 Equivalent circuits for a capacitance – voltage measurement; (a) 3-element model, (b) parallel equivalent circuit, and (c) series

equivalent circuit for MOS capacitor...44

Figure 2.13 Data refinement (correction) for C-V and G-V measurements; Refined (corrected) and measured capacitance and conductance at 1 MHz on capacitors with area = 5.24 ×× 10-4

cm2, rs = 200 ΩΩ. ...44

Figure 2.14 Equivalent circuits for conductance measurements; (a) MOS capacitor with interface trap time constant ττit = RitCit, (b) simplified

circuit of (a), (c) simplified circuit of (b), (d) measured circuit. ...45

Figure 2.15 Equivalent circuits for conductance measurements with tunneling oxide; (a) MOS capacitor with interface trap and DC leakage Gdc, (b)

simplified circuit of (a), and (c) measured circuit. ...45

Figure 2.16 Measured and refined (corrected) GP/ωω versus frequency at Vg = -1.1

V for a capacitor with high series resistance. ...46

Figure 2.17 Interface traps determined by conductance method; (a) corrected GP/ωω versus frequency at different gate bias, (b) interface trap level

density and interface trap time constant as a function of silicon

bandgap energy with respect to the valence band edge. ...46

Figure 3.1 Deposition condition, and expected versus realized structures of an Al-O thin film. HRTEM indicates that the film thickness is approximately 18 nm. Two distinct amorphous layers are observed with approximately equal thickness. The second layer has higher

atomic number/density compared to the first layer. ...64

Figure 3.2 (a) Narrow resonance nuclear reaction profile (NRP) of a thick 18 nm Al2O3 on Si. Model of results (shown in inset) shows two layers

with the top layer having an Al concentration corresponding to Al2O3. Auger depth profile of the same film (in c) showing the

appearance of Si at approximately 10 nm. (b) NRP data for a thin 3.5 nm Al2O3 film and (d) XPS spectrum from the same film showing

evidence for Al-O-Si silicate bonding. ...65

Figure 3.3 (a) Process flow of forming a gate stack with Hf-Si-O gate dielectric, and (b) the realized triple layer amorphous gate dielectric with Al electrode. (c) XPS spectrum of as deposit film with various sputtering time shows the silicate bonding state. (d) A double layer

amorphous gate dielectric with Pt gate electrode. ...66

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an problematic interfacial layer between the Si substrate and high-κκ

layer. ...67

Figure 3.5 HRTEM images of Hf-O sample show the discontinuity of the problematic interfacial layer. Part of the field-of-view there is no obvious interfacial layer. Si lattice fringes terminate at the nominal

high-κκ layer...68

Figure 3.6 Phase-separation and crystallization for an RPCVD 10% ZrO2-SiO2

films after 900°°C, 30 seconds RTA in Ar...69

Figure 3.7 Process flow and physical structure of a Si/SiOxNy/TiO2/Al gate

stacks. The interfacial layer is of high quality. TiO2 layer is graded

and the interface with Al electrode is not smooth. ...70

Figure 3.8 HRTEM image shows the presence of crystallized region in the Ti-O

film and the crystallization seems start at the TiO2/SiOxNy interface. ...70

Figure 3.9 Al and Pt electrodes on TiO2 gate dielectrics with JVD nitride

interfacial layers. TEM images indicate a well-defined Al/TiO2

interface vs. a diffused Pt/TiO2 interface. C-V data show the

stretch-out caused by e-beam Pt deposition process (C-V raw data from Dr.

Ma’s group)...71

Figure 3.10 Process flow chart and HRTEM analysis for a Si/SiOxNy/Ta-O/Al

gate stack with NO interface process...71

Figure 3.11 Process flow chart and HRTEM analysis for a Si/SiOxNy

/Ta-O/TiN/Al gate stack with NO interface process. ...72

Figure 3.12 Process flow chart and HRTEM analysis for a Si/SiOxNy

/Ta-O/TiN/Al gate stack with NH3 interface process...72

Figure 3.13 TEM studies of thermal stability for optimized Ta-O gate stacks. ...73

Figure 3.14 Capacitance – voltage and current density – voltage characteristic of Ta-O gate stacks with different interface processes and gate

electrodes. ...74

Figure 3.15 Hysteresis measured at 1MHz after four cycles is 59 mV in flatband shift. The capacitor area is 5 ×× 10-5

cm2...75 Figure 3.16 Average values of the accumulation capacitance at -2.5 eV and the

current at –1.5 eV versus capacitor area and the linear least-squares

fit for Si/SiOxNy/TaxOy/TiN/Al capacitors. ...75

Figure 3.17 Comparison of measured C-V and I-V characteristics for capacitors

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Figure 3.18 An ADF cross-sectional image of the gate-stack capacitor that was analyzed in this study is shown in (a). The Si (001) substrate is on the far left and the polycrystalline Al electrode is on the far right of the image. A normalized intensity profile from the ADF image and the normalized elemental profiles for Si, Ti, N, Al, and O are shown in (b). The six vertical lines are elemental-specific interfaces that bound five chemical-specific layers: (Si, Ti) OxNY , (Ta, Ti) OxNY ,

(Ti, Ta, Al) OxNY , (Al, Ti) OxNY , and Al2O3 plus metallic Al...77

Figure 3.19 Typical deconvoluted low-loss spectra from polycrystalline Al and

the forth as well as the fifth chemical-specific layers ...78

Figure 4.1 Schematic illustration of various oxide charges and their possible

locations in bilayer gate stacks. ...115

Figure 4.2 STO interface state density and time constant as a function of silicon

bandgap energy with respect to the valence band edge. ...115

Figure 4.3 Results for bias temperature stress at 200°C for 10 min with (a) +5 V and then –5 V bias stress, and (b) –5 V and then +5 V bias stress. The measured data were corrected for series resistance effects using

Eq. (2.4). ...116

Figure 4.4 Jg – Vg measurement for STO capacitors, showing that there is no

abrupt increase in leakage current at high gate bias. ...117

Figure 4.5 Comparison of time-zero characteristics of STO and SiO2 gate stacks

in accumulation. The plots show Jg – Vg characteristics during and

after a time-zero measurement...117

Figure 4.6 Comparison of time-zero characteristics of STO and SiO2 gate stacks

at the inversion region. The plots show Jg – Vg characteristics during

and after time-zero measurements. ...118

Figure 4.7 Curve fitting result to the linear region of the time-zero I-V

characteristic for a SiO2 capacitor. ...118

Figure 4.8 Time-dependent characteristics of SiO2 gate stacks at –6 V gate bias

for different stressing times. ...119

Figure 4.9 (a) Gate current density – time and gate voltage – time characteristics of STO at 50 °°C. Gate injection was used for these measurements. (b) C-V and I-V characteristics before and after a

TDBD measurement. ...120

Figure 4.10 Time-dependent characteristics of STO capacitors with constant gate bias. Gate injection was used with various stress bias. The

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Figure 4.11 Time-dependent characteristics of STO capacitors with constant gate bias at various temperature. Gate injection was used with –4 V stress bias. The measurements were done at elevated temperature to

accelerate the process...122

Figure 4.12 Schematic energy-band diagram showing Frenkel-Poole electron

emission and hole injection in an MOS structure under negative bias...123

Figure A.1 Mass thickness contrast obtained from oxide/nitride stack as a function of foil thickness, (a) effect of objective aperture size at a fixed accelerating voltage (200 KV), (b) effect of accelerating

voltage at a fixed objective aperture size (5 mrd)...137

Figure A.2 Demonstration of mass-thickness contrast from an O/N and an N/O stack by TEM micrographs. It is evident that the dual-layer structure can be differentiated and the contrast is reversed for O/N and N/O

stack as expected from theoretical calculation. ...138

Figure A.3 Resolution achievable with different objective aperture sizes for the 200 KV Topcon 002B with a UHR polepiece at NCSU (Cs = 0.4

mm)...139

Figure B.1 Si surface potential as a function of gate bias for a capacitor with STO gate dielectric. The capacitor parameters are: CET = 2.0 nm,

NA = 2.4 ×× 1015 cm-3, capacitor area = 5.24 ×× 104cm2, VFB = -1.28 V...144

Figure B.2 Electric field in oxide as a function of gate bias for a MOS capacitor

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1

1 Introduction

1.1 A Bit of History

Since the invention of the first three-terminal device (i.e., the bipolar junction transistor) by

John Bardeen and Walter Brittain in 1948, the solid-state electronic industry has experienced

rapid growth over four decades [1]. Metal-Oxide-Semiconductor Field-Effect-Transistor

(MOSFET) devices were first proposed in 1960 and attracted considerable attention due to

their simplicity [2, 3]. Soon after the perfection of the Si-SiO2 interface and the development

of integrated technologies, MOSFETs became the workhorse devices in the silicon-based

semiconductor industry [2, 3].

Historically, device scaling, quantified by Moore’s Law, has driven MOS

integrated-circuit technologies [4]. Decreases in device feature size have provided improved

functionality at a reduced cost. Device line features have decreased at the rate of about 70%

every three years for most of the industry’s history. Cost per function has simultaneously

decreased at an average rate of about 25-30%/year/function [5].

1.2 MOSFET Scaling – Approaches

One fundamental restriction to the scaling of MOS structures has been photolithography,

which defines the smallest feature size, i.e., the channel length (L) [5]. For devices of channel

length comparable to the depletion regions around the source and drain, short-channel effects

associated with charge-sharing and punchthrough are intolerable. Thus, to make L small, the

depletion region widths have to be reduced by a heavily doped substrate and a lower supply

voltage. At the same time, silicon oxide thickness needs to be reduced to balance the

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There are different sets of rules aimed at reducing the device size while keeping device

function [6-11]. One is constant-field scaling (CFS), according to which the resulting device

along with its depletion region is a scaled version of a larger device [6]. In Fig. 1.1, a MOS

transistor obtained by scaling all geometrical dimensions by the same factor, α, is illustrated.

The idea behind this scaling is to keep the electric field unchanged in a short-channel device

in order to maintain comparable characteristics and reliability relative to a long channel

device. However, the requirement of scaling the voltage by the same factor in CFS is difficult

to meet since the threshold voltage, VT, and sub-threshold slope, S, are not easily scaleable

[12]. If VT scales slower than other factors, drive current is reduced. Thus, a voltage higher

than desired has to be used, leading to constant voltage scaling (CVS), where the voltages

remain unchanged while device dimensions are scaled as CFS. However, CVS will result in

an extremely high electric field, which causes unacceptable leakage current, power

consumption, and dielectric breakdown as well as hot-carrier effects [8, 9]. To avoid the

extreme cases of CFS and CVS, a generalized scaling approach has been proposed where the

electric field is scaled by a factor of κ while the device dimensions are scaled by a factor of α

[7]. In Table 1.1, the scaling parameters for CFS, CVS and generalized scaling schemes are

tabulated.

1.3 Challenges of Device Scaling in Front-end Processes

Since 1992, the Semiconductor Industry Association (SIA) has coordinated the efforts of

producing what was originally the National Technology Roadmap for Semiconductors

(NTRS) and now the International Technology Roadmap for Semiconductors (ITRS), which

provides a 15-year outlook on the major trends of the semiconductor industry [5]. The future

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number and the difficulties of the technical challenges continue to increase as the device

dimensions shrink, as is partially shown in Table 1.3. Traditional scaling, which has been at

the basis of the semiconductor industry for the last 30 years, is indeed approaching the

fundamental limits of the materials constituting the building blocks of the planar CMOS

process [5, 13-15]. Therefore, new materials have to be introduced into the basic CMOS

structure to replace and/or augment the existing ones to further extend device scaling.

1.3.1 Alternative Gate Dielectrics – Where are we going?

Among all the materials for MOS devices, the gate oxide remains one of the most critical,

since it plays a fundamental role in the concept of “field effect” control. Thermally grown

oxide (SiO2) has been used as a gate dielectric since MOSFET devices were first introduced

due to its process simplicity, nearly perfect insulator properties, and compatibility with the

silicon substrate. However, the phase-out of SiO2 is needed as early as the 100nm node

(circa 2005) due to a number of issues including high leakage currents and inadequate

reliability for a SiO2 dielectric layer less than 1.5 nm thick [5]. It has been well documented

that it will be difficult, if not impossible, to use SiO2 in this thickness regime [15, 16].

Extensive research is under way to meet the challenge of moving beyond the SiO2 era, i.e., to

replace the traditional silicon dioxide /dual-doped polysilicon gate stack process with high-κ

gate dielectrics and new gate electrode materials [17-32].

The capacitance, C, of a MOS capacitor is given as

eq

ox o SiO ox

o

t A t

A

c κε κ ε

2 =

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where κ is gate oxide dielectric constant, εo the permittivity of vacuum, A the capacitor area,

and tox gate oxide physical thickness. By assuming the same capacitance is achieved using

SiO2 as the dielectric, the equivalent oxide thickness, toxeq, is given by

κ κSiO2 ox eq ox t

t = (1.2)

which means a thicker gate oxide of high permittivity (which will keep the leakage current

low) can hold the same gate capacitance as a thinner SiO2 dielectric. The near-term gate

dielectric solution has been chosen as ultra-thin silicon dioxide with a nitrided interface or

oxynitrided films based on years of research and a thorough understanding of their materials

characteristics [32-36]. A dielectric constant greater than 10 is suggested for intermediate

term and κ > 20 for the long-term solution. Much attention is being paid to the so-called

alternative high-κ gate dielectric materials such as Al2O3, Ta2O5, TiO2, HfO2, ZrO2, HfSiO4,

ZrSiO4, Y2O3, (Ba, Sr)TiO3 (BST), and SrTiO3 (STO). Unfortunately, a myriad of problems

are associated with these materials, including thermal instability on silicon, instability with

gate-electrode materials, small bandgap, undesired band alignment, large leakage current,

low channel mobility, and lower than expected dielectric constants of the as-deposited films

[37-41]. No suitable alternative high-dielectric-constant material and interfacial layer have

been identified with the stability and interface characteristics comparable to SiO2. It should

be mentioned that although oxynitride, SiOxNy, and silicon nitride, Si3N4, have higher

dielectric constants than SiO2, traditionally they are not grouped among alternative

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1.3.2 Gate Electrodes – Where are we going?

Along with the replacement of SiO2, the replacement of dual-doped polysilicon is desired due

to limited active doping density and the polysilicon depletion effect which will cause the loss

of drive voltage in polysilicon [42, 43]. Dopant activation and penetration may also be major

problems with high-κ dielectrics, which generally require a low thermal budget to avoid

phase separation in dielectrics and/or reaction with the silicon substrate. For CMOS

technology, dual metals are required as replacements to achieve low threshold voltages, i.e.,

high work function (Fermi level near the silicon valence band edge) for PMOS and low work

function (Fermi level near the silicon conduction band edge) for NMOS. Chemical stability is

also a problem since many elemental metals form silicides if the dielectric has a SiO2

component [40]. Any reaction or intermixing at the electrode/dielectric interface will make

the issue very complicated due to the un-predictable modification of the work function and

resistivity. For compatibility with CMOS technology, the preferred solution to the integration

of two gate electrode metals is the use of a metal and compound of the same metal, such as

W and WN, so that a simple reaction might locally convert the metal into its compound [5].

The research that addresses the gate-electrode concerns has to be coupled with the alternative

gate dielectric. Therefore, the gate electrode research area has not been as active as that for

alternative gate dielectrics. Nevertheless, this research issue is starting to draw the attention

of the front-end processing society.

1.3.3 Characterization of Material Systems

As the push to find alternative dielectrics has grown in strength, a number of new concerns

dealing with physical, electrical and chemical characterizations of alternative gate

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techniques, including capacitance-voltage (C-V) and current-voltage (I-V), are performed on

MOS capacitors and transistors to obtain parameters such as flatband voltage (VFB), threshold

voltage (VT), mobility (µ), substhreshold slope (s), average interface trap density (Dit), as

well as reliability parameters such as charge-to-breakdown (QBD), and time-to-breakdown

(tBD) [44, 45]. These parameters are directly impacted by the dielectric and gate electrode,

and are therefore used to evaluate the quality of the gate stack. Since SiO2 and polysilicon

have been used for nearly forty years, these characterization techniques have been refined to

a point that the extraction of parameters from MOS devices with SiO2 dielectric/poly-Si

electrodes is extremely accurate [46-48]. This is not the case, however, with the alternative

dielectrics that are being evaluated today [49]. Not only do the materials themselves make

electrical characterization difficult, but the use of stacked dielectric structures also adds to the

complexity of the problem. Thus, along with the search for an alternative dielectric comes the

need for a re-evaluation of traditional electrical characterization techniques. Meanwhile, the

nano-scale dimensions of the stacked structure is a big challenge to the physical and chemical

characterizations of gate stacks, high-resolution analytical techniques will be essential to

understand the near-atomic-level chemistries of these new materials systems and device

structures.

1.4 How to Meet These Challenges?

As is discussed in Section 1.3, the first consideration will be materials selections for both

gate dielectrics and gate electrodes, and the selection criteria are discussed in the following

sections. The appropriate gate-stack structure must be based on the materials systems that

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1.4.1 Selection Rules for Alternative Gate Dielectrics

MOSFETs, while simple, depend critically on a reliable silicon/silicon oxide interface and it

took many years of intense research to understand how to obtain this interface reliably with

very low trap states [50, 51]. MOSFETs fabricated with alternative dielectrics exhibit

low-mobility values as a result of the low-quality interfaces between the dielectrics and silicon

[52, 53]. Hence, one of the major problems with a material other than SiO2 is the probability

that a very-thin SiO2 layer will still be required at the channel and/or gate electrode interface to preserve interface-state characteristics and channel mobility [54]. This interfacial layer

would severely degrade any benefits that accrue from the use of a high-κ dielectric. Even the

presence of only a single molecular layer of Si-O bonding to bridge between the silicon

substrate and a high-κ material is expected to present a physical limit to the scaling of

effective dielectric thickness below 0.3 nm [54].

To fully achieve the advantage of high-κ dielectrics, it is preferred that it sits directly on

silicon without any buffer layer. As a result, the possible reaction, mixing, or interlayer

formation between a dielectric and silicon during deposition or subsequent processing at

elevated temperatures has to be addressed. The initial consideration is the thermodynamic

stability of oxides in direct contact with silicon, where the thermodynamic calculations for

possible reactions between oxide and silicon need to be carried out. In the most

comprehensive study for the model system of a single component oxide in contact with

silicon at 1000K, Hubbard and Schlom evaluated the free energies of reactions for producing

known oxide or silicide products. Metal oxides were characterized as thermodynamically

stable or unstable in contact with silicon [40]. All binary oxides are thermodynamically

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earth oxides (BeO, MgO, CaO, and SrO), the column IIIB oxide (Sc2O3, Y2O3, and La2O3), ThO2, UO2, ZrO2, HfO2, and Al2O3. Among these materials, BeO, MgO, CaO, SrO, Y2O3, Pr2O3, Nd2O3, ThO2, ZrO2, and Al2O3 have been studied and appear to be free of reaction layers on silicon. There are sufficient data to conclude that BeO, MgO, and ZrO2 are stable, but insufficient data for the others. It is also possible to have ternary or higher

multi-component oxides for direct integration with silicon, i.e., combinations of binary oxides that

are all thermodynamically compatible with silicon, e.g. ZrSiO4, LaAlO3, Y2O3-ZrO2,

MgAl2O4, etc. However, for those high-κ dielectrics that are unstable in direct contact with

silicon, an engineered interfacial layer will be required in order to take advantage of their

potential dielectric characteristics.

When it comes to the control of leakage current, which is crucial to MOS devices, the

band gap of the dielectric and band alignment at electrode/dielectric and dielectric/silicon

interfaces have to be considered as high barrier height favors low leakage current. Bandgaps

of 4-5 eV with a barrier height of > 1 eV is necessary to limit thermionic emission and

Fowler-Nordheim tunneling [5, 45]. Furthermore, negligible trap densities in dielectric layers

are required to suppress Frenkle-Poole tunneling [55, 56]. As a rule-of-thumb, for a high-κ

dielectric, the bandgap is usually small and hence has lower barrier height, which means a

leaky gate stack. In John Robertson’s work, he treated oxides as wide-band-gap

semiconductors and calculated their band alignments with silicon, as shown in Fig. 1.2 [39,

57]. Those high-κ dielectrics such as Ta2O5 have much lower gaps than silicon dioxide and

could have a different class of leakage problems due to Schottky emission of carriers into

band states. Furthermore, the band offsets for most transition metal oxides are quite

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an engineered interfacial layer with high barrier height would be a feasible solution for those

high-κ/low-barrier-height dielectrics. According to Fig. 1.2, ZrO2, HfO2, Al2O3, Y2O3 have

suitable barrier height, however, these materials are fast ionic conductors with significant

oxygen ion diffusivity. From a band-alignment point of view, ZrSiO4 and HfSiO4 also would be promising choices, but their κ values are not very high.

Along with the high permittivity, chemical stability, and suitable band alignment, the

alternative gate dielectrics need to serve as an excellent diffusion barrier as well to prevent

gate electrode material or gate electrode dopant contamination of the transistor channel.

1.4.2 Proposed Gate-stack Structures

Based on the understanding of the chemical stability of the alternative gate dielectrics, as

well as the band alignment at the dielectric/silicon interface, the proposed gate stack

structures are shown in Fig. 1.3. For alternative gate dielectrics that are incompatible with

silicon and/or have inadequate barrier heights when they are in direct contact with silicon, an

engineered interfacial layer is mandated between the silicon substrate and the selected

alternative gate dielectrics. For so-called stable alternative gate dielectrics, no engineered

interfacial layer is required to fully achieve the potential of high permittivity.

1.4.3 Choosing an Engineered Interfacial Layer

As has been discussed so far, although the replacement of SiO2 with a single high-κ material

would be the ideal solution, it appears the transition from SiO2 to alternative dielectrics will

inevitably involve a stacked dielectric structure with an engineered interfacial layer. As to the

candidates for the interfacial layer, numerous studies have been conducted in this area [32,

(27)

silicon substrate and the alternative dielectric. Oxynitrides or nitrides have been the materials

of interest, since they have been used in industry for many years and the process step can be

easily integrated into the CMOS process flow. The deposition techniques involved are

furnace chemical vapor deposition (CVD), Jet vapor deposition (JVD) or remote plasma

enhanced CVD (RPCVD), and the growth can be controlled on the scale of an atomic layer,

which is crucial in achieving a thin equivalent oxide thickness (EOT). Recent results on this

topic indicate that nitride/silicon interface produces poor electrical interfaces due to interface

states and fixed charges [53]. However, a thin oxide interface (~ 0.6nm) is sufficient to

recover good electrical interface properties, which can be explained in terms of bonding

constraint theory (see Section 1.5) [33-35]. Also a monolayer of nitrogen at the

oxygen-silicon interface reduces tunneling current as shown in ref. [58]. Either an ultra-thin

oxynitride layer or an oxide layer with a nitrided interface would be the best choice for an

engineered interfacial layer [42]. An excellent summary on this topic can be found in ref.

[33].

1.5 Interface Properties – Constraint Theory

From an electrical characteristic point of view, the main concerns for an alternative gate

dielectric are the fixed charge and trap densities in bulk films and the silicon/dielectric

interfaces, which should be comparable to SiO2 and the Si/SiO2 interface, respectively [5]. Constraint theory can be used to evaluate qualitatively the interface properties. It was first

developed by Jim Phillips at Bell Labs to evaluate the formation of ideal glasses and

non-crystalline thin films with a random covalent network structure [37, 38, 54, 59]. It shows that

fully bonded, strain-free, three-dimensional, continuous-random networks can be formed at

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with the applicable valence-force fields, Cav, and then matching constraint to the dimensionality of the network structure. Lucovsky and Philips extended the theory to

evaluate the interface qualities of gate-stack structures [37, 38, 54, 59]. Two metrics are used

to predict whether the differences between the bonding at the silicon/dielectric interfaces and

internal dielectric interfaces will result in increased densities of electrically active defects at

the interfaces, thereby limiting targeted levels of performance and reliability. The average

coordination of number of bonds per atom, Nav, is determined by the local network

coordination, and Cav (the average number of bond constrains per atom) is in turn determined by valence forces. The general relationship between the two parameters is given as Cav =

2.5Nav - 3. For the ideal network structure, Cav = 3, Nav* = 2.4. Interface defect creation at

the silicon/dielectric interface is proportional to (Nav-Nav*) 2

, where Nav* is the ideal average

coordination. Interface defect creation at an internal dielectric interface is proportional to

(∆Nav) 2

= (Nav - Nav)

2, where ∆N

av is the change in the average coordination of the number

of bonds at the internal dielectric interfaces.

In Table 1.4, the calculated values of Nav and Cav are tabulated for different gate

dielectrics. Interface defects creation probabilities, which are taken as (Nav-Nav*)2 and (∆Nav)

2

for gate stacks with and without engineered interface layers, respectively, are shown

in Fig. 1.4. Based on these results, defects at a silicon/dielectric interface and a

SiO2/dielectric internal interface follow the same trend, i.e., the higher the number of bonds

per atom for the dielectric, the worse the interface properties. As predicted by constraint

theory, Si3N4 has a rigid network structure and hence a higher number of bonds per atom.

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or SiO2. Engineered interfacial layer candidates would be SiO2, oxynitride, (ZrO2)x(SiO2)1-x,

or Al2O3. Pseudo-binary alloys of high-κ oxide and SiO2 would improve interface properties

at the expense of lowering the dielectric constant. One thing that needs to be kept in mind is

that the above methodology is only useful for a general comparison among different

dielectrics. It can’t predict the defect type, defect energy level in the band gap, etc.

1.6 Scope of the Present Research

As discussed in previous sections, there are many critical issues related to the replacement of

SiO2. These issues must be systematically researched in order to further understand the viability of alternative gate dielectrics for future generations of devices. This thesis work has

focused on the study of high-κ gate stacks using physical and electrical characterization

techniques, to gain a better understanding of some important factors associated with

alternative gate dielectrics from both a theoretical and experimental points of view. Based on

the consideration of the main criteria for alternative gate dielectrics, i.e. thermal stability,

bandgap and band alignment as well as interface bonding properties, two kinds of gate-stack

structures, as proposed in Section1.4.2, were studied. One kind was an unstable material with

engineered interfacial layers, which included the Ti-O system with a JVD nitride interfacial

layer and the Ta-O system with an oxynitride interfacial layers that were produced by a NO

or NH3 processes. The second kind was stable materials deposited directly onto silicon,

which included the Al-O, Hf-Si-O and Zr-Si-O systems. For all the so-called stable material

systems, materials analyses indicate an uncontrollable interfacial layer formation at the initial

stage of deposition, which precludes the advantages of these materials; hence no further

detailed studies were performed on them. Many materials were only studied at the early stage

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systems, namely Ta-O and Sr-Ti-O. Ta-O with different engineered interfacial layers was

chosen as an example of a system which is chemically unstable on silicon. As the only

perovskite material whose epitaxial growth on (001) Si has been realized to build functional

MOSFETs, single crystalline SrTiO3 is drawing much research attention as a potential gate

dielectric [23, 60-62]. Detailed electrical characterization study is performed on capacitors

with SrTiO3 as the gate dielectric. The material characterization focused on understanding

the physical and chemical properties of the gate stacks on an atomic or near-atomic scale.

The interfaces between dielectric/silicon, dielectric/electrode, internal interface between

stacked dielectrics, inter-diffusion and/or intermixing of layered structures, and thermal

stabilities of the gate stacks are the focus of the research.

With respect to electrical characterization, the first concern was to implement the

appropriate data extraction methods to eliminate effects from series resistance and/or gate

leakage. The conductance method was implemented to evaluate the interface states directly

from capacitors. Since the testing in the frequency domain couldn’t be realized at NC State at

the time this research was performed, the method was only applied to Sr-Ti-O work at

Motorola. The conduction mechanism, dielectric degradation mechanism and its reliability

were studied for Sr-Ti-O, given the gate stack structure is relatively simple so that the

assumption of abrupt interfaces and discrete band diagram for gate stacks are good

approximations. A capacitor was the main test structure due to its simplicity as well as

facilitating a fast learning and screening curve. Also, at the time this research was performed,

alternative dielectrics were not developed to the point where a sufficient number of

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around the study of alternative gate dielectrics and interface characterization using both

theoretical and experimental approaches.

1.7 Thesis Outline

The experiments involved in and the characterization methods developed for this research are

presented in Chapter 2. Physical characterization is mainly concentrated on various

techniques that are available in transmission electron microscopes. For electrical

characterization, data refinement and a conductance method for Dit extraction are the focus.

The results for high-κ gate stacks with stable and unstable materials as gate dielectrics are

presented in Chapter 3. The highlight of this chapter is near-atomic-level chemistry for one

of the gate stacks studied, which demonstrates the complexity of the realized gate stack

structure as well as the necessity of establishing a fundamental understanding of the gate

stack chemistry.

The results from gate stacks with ultrahigh-κ single crystalline STO as gate dielectric are

presented in Chapter 4. As the only simple structure available for an in-depth electrical

characterization, studies addressing oxide charges, conduction mechanism, dielectric

breakdown and degradation behavior are included in this research.

The results and discussion that are concerned with the directions for future work are

given in Chapter 5. For a better understanding of gate-stack metrics and interface state

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Table 1.1: Scaling of MOSFET at device and circuit level

Table 1.2: Technology generations predicted by The International Technology Roadmap for

Semiconductors: 1999

Year (Production) 1999 2002 2005 2008 2011 2014 Technology Node (nm) 180 130 100 70 50 35 MPU Gate Length (nm)140 85 65 45 32 22 Power Supply 2.5-1.8V 1.5-1.2V 1.5-1.2 V 1.2-0.9V 0.9-0.6V 0.6-0.5 EOT(nm) 1.9-2.5 1.5-1.9 1.0-1.5 0.8-1.2 0.6-0.8 0.5-0.6

EOT - equivalent silicon dioxide physical thickness

Constant E Constant V Generalized

Feature Size ÷ α ÷ α ÷ α

Voltage ÷ α 1 ÷ κ

Current Density x α x α3 x α3/ κ2

Circuit Delay ÷ α ÷ α2 ÷ α2/ κ

Power per Circuit ÷ α2 x α ÷ κ3/α

Power Density 1 x α3 x α3/ κ3

Power Delay ÷ α3 ÷ α ÷ a κ2

Channel Length ÷ α ÷ α ÷ α

Channel Doping x α ÷ α2 ÷ α2/ κ

Parameter MOSFET’s

α= Dimensional Scaling Factor; κ= Voltage Scaling Factor

Constant E Constant V Generalized

Feature Size ÷ α ÷ α ÷ α

Voltage ÷ α 1 ÷ κ

Current Density x α x α3 x α3/ κ2

Circuit Delay ÷ α ÷ α2 ÷ α2/ κ

Power per Circuit ÷ α2 x α ÷ κ3/α

Power Density 1 x α3 x α3/ κ3

Power Delay ÷ α3 ÷ α ÷ a κ2

Channel Length ÷ α ÷ α ÷ α

Channel Doping x α ÷ α2 ÷ α2/ κ

Parameter MOSFET’s

α= Dimensional Scaling Factor; κ= Voltage Scaling Factor

Parameter MOSFET’s

α= Dimensional Scaling Factor; κ= Voltage Scaling Factor

Parameter MOSFET’s

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Table 1.3: Front End Process Difficult Challenges – Issues related to gate stacks

Table 1.4: Nav and Cav for various gate dielectrics based on constraint theory

Before 2005

Logic Gate Length > 65nm

2005 And After Logic Gate Length ≤≤ 65nm

Nitride Derivatives and High k Gate Stacks Ultra High k Gate Stack • Effective oxide thickness ≥≥1.2nm for

nitride derivatives, ≤≤ 1.2nm for high k • Achieve optimal channel mobility > 95%

of SiO2

• Minimize gate leakage mechanisms to achieve ≤≤ 1A/cm2

for high-performance logic and ≤≤0.001 A/cm2 for system LSI • Control boron penetration

• Minimize gate electrode depletion, e.g., polysilicon depletion

• Chemical compatibility of dual metal with appropriate work functions

• Effective oxide < 0.9nm • Chemical compatibility of dual

metal with appropriate work functions

• Acceptable channel mobility • Thermal budget and dielectric

stability

• CD (critical dimension) control • Gate leakage ≤≤ 1A/cm2

for high-performance logic and ≤≤ 0.001 A/cm2 for system LSI

• Cost-effective CMOS integration

Metrology Challenge

Optical, physical, electrical and chemical characterizations of gate dielectrics / electrodes

Dielectric Materials Nav Cav

SiO2 2.67 3

Ta2O5 2.86 4.14

Al2O3 3.0 4.5

Si3N4 3.43 5

TiO2 4 7

ZrSiO4 2.67 3

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(a) (b)

Figure 1.1: (a) device dimensions before scaling, and (b) device dimensions after constant-field scaling by a factor α.

Figure 1.2: Conduction and valence band offsets for metal oxides and silicates, based on J.

Robertson’s data. E n e rg y ( e v ) - 6 - 4 - 2 0 2 4 6

Ta2O5

SiO2

Si3N4 BaTiO3

BaZrO3

ZrO2

HfO2 Al2O3

Y2O3ZrSiO4 1.1 Si 4.4 3.5 1.8 2.4 3.0 0.3 2.3 -0.1 3.4 0.8 3.3 1.4 3.4 1.5 4.9 2.8 3.6 1.3 3.4 1.5 E n e rg y ( e v ) - 6 - 4 - 2 0 2 4 6

Ta2O5

SiO2

Si3N4 BaTiO3

BaZrO3

ZrO2

HfO2 Al2O3

(35)

Figure 1.3: Schematic illustration of proposed gate stack structures with and without an

engineered interfacial layer

Figure 1.4: Interface-defects-generation probability in gate-stack structures with and without

an engineered interface layer

Si substrate

Gate electrode

Engineered interfacial layer Deposited alternative

gate dielectric internal dielectric

interface Si-dielectric

interface gate electrode -dielectric interface

Si substrate

Gate electrode

Deposited alternative gate dielectric

Si substrate

Gate electrode

Engineered interfacial layer Deposited alternative

gate dielectric internal dielectric

interface Si-dielectric

interface gate electrode -dielectric interface

Si substrate

Gate electrode

Deposited alternative gate dielectric 0 10 20 30 40 50

2.6 2.8 3 3.2 3.4 3.6 3.8 4 4.2

S i/d ielectric interface

S iO2/dielectric interface

N av (N av -N av *)

2 value

(normalized to Si/SiO

2 interface value) Zr(Hf)SiO 4 Zr(Hf)O 2 T iO 2 Si

3N4

Al

2O3

T a

2O5

SiO

(36)

19

2 Experimental and Characterization Methodologies

2.1 MOS Device – Fabrication

The main test structures used in this research were MOS capacitors as shown schematically

in Fig. 2.1. Some capacitors were field-oxide isolated with active regions defined by

lithography. Other capacitors were fabricated using a process flow that included a

blanket-dielectric film and active areas defined by a shadow mask or lithography. Detailed device

fabrication processes can be found in references [50, 63, 64].

Various gate dielectrics were grown on Si (001) wafers. The thin-film growth techniques

were rapid-thermal chemical vapor deposition (TaxOy, HfSixOy, and ZrSixOy from Dr.

Kwong’s group at UT-Austin [17, 18]), plasma-enhanced chemical vapor deposition (AlxOy

from Dr. Parsons’ group at NCSU [20]), remote-plasma-enhanced chemical vapor deposition

(ZrSixOy from Dr. Lucovsky’s group at NCSU [65]), jet-vapor deposition (TiOx from Dr.

Ma’s group at Yale [25, 66]), reactive sputtering (HfSixOy from Dr. Misra’s group at NCSU

[67]), and molecular beam epitaxy (SrTiO3 from the Physical Sciences Research Laboratories

(PSRL) at Motorola Labs [24]). Some gate stacks had an engineered interfacial layer

deposited by jet-vapor deposition or chemical-vapor deposition. Detailed conditions for each

process can be found in the references given above. The principles involved in each growth

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2.2 Physical and Chemical Characterization Techniques

To study the physical structures and the chemical characteristics of the gate stacks,

microstructural and microanalytical analyses were performed. High-resolution transmission

electron microscopy (TEM), electron-energy-loss spectroscopy (EELS) in a scanning

transmission electron microscope (STEM), X-ray photoelectron spectroscopy (XPS), and

narrow resonance nuclear reaction profiling (NRP) were the main techniques.

2.2.1 TEM, STEM, and EELS Analysis

Transmission electron microscopy is a very powerful materials and thin-film analysis

technique, which has the ability to provide structural and chemical information at very high

resolution (2 Å is now common). Many books have been written regarding its configuration

and theories of image contrast formation, which need not be repeated here [71-76]. The

conventional TEM is capable of imaging a specimen and returning selected-area-diffraction

patterns (SADP’s). High-resolution TEM (HRTEM) is a specialized TEM technique which

uses phase contrast to generate images which reflect the periodicity of the specimen and in

some cases can reveal atomic-level information. Interpretation of high-resolution images in

terms of atomic position is complex. The text by Spence is an excellent review of the theories

and practical applications of HRTEM [71]. For this research, HRTEM has been used to study

the dielectric/Si and dielectric/electrode interfaces. Most of the gate dielectrics are

amorphous films, and so-called mass-thickness contrast is the primary source to differentiate

dielectric layers in conventional TEM. The physics background for mass-thickness contrast

interpretation can be found in Reimer’s book [72]. Based on that theory, the contrast between

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It is concluded from the results of those calculations that the conventional TEM can be used

to study the physical structures of gate stacks. However, it will be difficult to differentiate

amorphous layers of similar effective atomic number, Zeff, and density when the specimen is

thin. If high angle, incoherently scattered electrons are used to form the image, the contrast

will be enhanced. The intensity of these scattered electrons depends on Zeff only, thus

forming a so-called contrast image which contains elemental information with a

Z-dependence as high as Z2 [77]. With a very fine-probe size, images with atomic resolution can be achieved [13, 78], and they are called annular-dark-field images since the electron

beams are collected in a STEM using an annular-dark-field (ADF) detector.

Annular-dark-field images in STEM mode can be used to obtain first-order chemical information from

stacked-gate dielectrics. Detailed chemical and electronic studies of gate stacks at nanometer

or sub-nanometer scale can be achieved with electron-energy-loss spectroscopy. By

analyzing the energy distribution of electrons inelastically scattered with the specimen, the

local electronic structures can be inferred which in turn reveal details of the nature of these

atoms, their bonding and nearest-neighbor distributions, and their dielectric responses [72,

75, 76].

In this research, general analysis was done on a Topcon 002B ultra-high-resolution

transmission electron microscope with a high-resolution objective polepiece (Cs = 0.4 mm).

High performance analysis is achieved on a JEM-2010F filed-emission electron microscope

with an annular-dark-field detector as well as Gatan Imaging Filter (GIF) for EELS. The

probe size is ~ 0.2 nm in diameter. A study of the Ta-O system was completed using a

VG-HB501 STEM at the Cornell Center for Materials Research. The microscope was operated at

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electron-energy-loss spectrometer. The incident electron-probe size was typically about 0.2

nm in diameter and the energy-loss spectra were recorded step-by-step at 0.2 to 0.3nm

intervals using a computer controlled scan generator [80], permitting analysis at 150 sites

across a typical structure. The ADF signal was recorded with a 10 mrad objective aperture

(for optimum probe size) and a 12.5mrad spectrometer entrance aperture. The ADF signal

and energy-loss spectra were acquired simultaneously. The spatial drift and high-voltage

stability were less than 0.05 nm/min and 0.2 eV/min, respectively. The energy resolution of

the spectrometer was 0.7 eV.

2.2.2 TEM Specimen Preparation Techniques – Wedge versus

Conventional Dimpling

A uniformly thinned TEM specimen with low contamination is crucial for microanalysis.

There are many ways to prepare specimens for the TEM, and some books are devoted to this

topic [81]. For cross-sectional TEM studies, two types of specimen preparation methods were

used: conventional dimple-polishing and the so-called “wedge-polishing” techniques. The

method of choice depends on both the type of material and the desired information. For the

wedge technique, a semiautomatic MultiPrepTM polishing system was used instead of a Tripod, where the physical layout of the MultiPrepTM polish tool enables precise alignment, accurate angle and pressure adjustment, and the alignment can be maintained during the

polishing process [82, 83]. It is possible to produce a wedge specimen with a long and

uniform sub-micron thickness at the tapered end. A wedge technique was used for

site-specific analyses and EELS where the specimen thickness and its uniformity are the primary

concerns. The tool layout, a comparison of the specimens made by dimple polishing and

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A site-specific bird’s beak region of a capacitor and a long uniformly thinned region of a

poly-gate capacitor are shown in Fig. 2.3 and Fig. 2.4, respectively, demonstrating the

capability of the wedge technique.

2.2.3 X-ray Photoelectron Spectroscopy

X-ray photoelectron spectroscopy (XPS), also known as electron spectroscopy for chemical

analysis (ESCA), uses the interaction of X-ray photons with core-level electrons to identify

the chemical species at the sample surface. Electrons can be emitted from an orbital with

photoemission occurring for X-ray energies exceeding the binding energy. It is a surface

analysis technique and only sensitive to the upper 6 ~ 10 nm of the sample. The major

strength of XPS is that it allows chemical, not only elemental, identification. X-ray

photoelectron spectroscopy was used in this study to determine the elemental ratios in certain

films as well as their chemical states. More information about the technique can be found in

[84].

2.2.4 Narrow Resonance Nuclear Reaction Profiling

Narrow resonance nuclear reaction profiling (NRP) is a technique where a sample is

bombarded with an accelerated ion or proton beam of a particular energy so that a specific

nuclear reaction occurs. The nuclear reaction will lead to the emission of radiation at a

particular energy that is detected to determine the concentration of the atom of interest. The

maximum depth resolution is ~ 0.5nm. In this research, the depth distribution of 27Al concentration was obtained for thin AlxOy [20]. The narrow and isolated resonance in the

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2.3 Electrical Characterization Techniques

A number of electrical measurements were performed to extract the electrical parameters

from various gate dielectrics. These measurements included capacitance-voltage (C-V),

current-voltage (I-V), and conductance in the frequency domain (G-f). From these

measurements, parameters such as equivalent oxide thickness (EOT), capacitance equivalent

oxide thickness (CET), interface trap density (Dit), oxide charge, and the current density at a

given bias voltage (J) were extracted. In this section, a brief review of the electrical

characterization techniques is given.

2.3.1 C-V Measurement

2.3.1.1 C-V Modeling and Simulations

Capacitance–voltage data provide a rapid means of determining important gate-stack and

dielectric parameters. The classical theory of C-V is well established [44, 85], but the

classical ideal theory must be modified for thin oxides because of substrate quantum

mechanical effects and polysilicon gate-electrode depletion effects [86]. Both of these effects

become more important factors in influencing the C-V characteristics for thin dielectrics (< 2

nm). Because of the sharp potential well for electrons (or holes) under strong inversion or

accumulation, the carriers are confined to a small spatial region and from quantum

mechanical considerations have localized energies above the traditional edge of the

conduction band. Additional semiconductor band bending is needed to achieve a given

surface-change density, and the carriers are located further from the surface than classically

predicted, as shown in Fig. 2.5. This phenomenon results in an apparent increase in the

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the order of 0.25 to 0.3 nm. The polysilicon depletion effect arises because a finite

polysilicon doping density requires a finite depleted thickness of polysilicon to accommodate

the surface field, which again causes the electrically determined thickness to be larger than

the actual dielectric thickness. The polysilicon effect is asymmetrical with voltage, being

much larger when the polysilicon is depleted than when the polysilicon is under

accumulation. Reference [86] gives a thorough review of the topic, and related references can

be found there. Theoretical C-V plots predicted by NCSU’s CVC simulation in the classical

case as well as with quantum and/or poly-depletion effects are shown in Fig. 2.6. The QM

effect contributes 2.5 Å to CET, which increases ~ 3 Å when both quantum and

poly-depletion effects are present at the same time.

In order to use C-V measurements to extract oxide parameters, the effects discussed

above must be included in the conventional C-V modeling. Different modeling programs

have been developed and are used for simulation and/or oxide thickness extraction from

experimental data: NCSU's CVC [47], UC Berkeley's QMCV [87], UT Austin's UT QUANT

modeling programs [88], IBM's TQM [89, 90] (so-called one-point) to name a few.

Comparison studies on these models have been conducted and the preliminary results can be

found in [91]. North Carolina State University's CVC was used in this research since it has

been proved accurate, robust and very fast. The analysis program provides first-order models

for polysilicon depletion and quantum mechanical effects with a non-linear least-squares data

analysis approach [47]. With an accurate C-V theoretical model, C-V characteristics are

considered as a function of four variables:

(a) flatband voltage (or effective interface charge density);

Figure

Table 1.1: Scaling of MOSFET at device and circuit level
Figure 3.6: Phase-separation and crystallization for an RPCVD 10% ZrO2-SiO2 films after
Figure 3.9: Al and Pt electrodes on TiO2 gate dielectrics with JVD nitride interfacial layers
Figure 3.11: Process flow chart and HRTEM analysis for a Si/SiOxNy/Ta-O/TiN/Al gate
+7

References

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