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超薄高介電常數金屬閘極層之互補式金屬氧化物半導體元件對於隨機電報雜訊的分析

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(1)

The Random Telegraph Noise (RTN) Analysis

in Ultra Thin High-

κκκκ

Metal Gate CMOS Device

(2)

i

CMOS

Random Telegraph Noise(RTN)

RTN

(ET0)

(3)

ii

Abstract

As the scaling of the CMOS technology advances aggressively, the Random Telegraph Noise (RTN) becomes an important reliability issue.[1] Since RTN is a stochastic fluctuation between two levels of either the device drain current (ID) or

threshold voltage (Vt) induced by trapping/de-trapping of a single charge in a gate

trap.

In this work, we demonstrate a method to extract RTN trap position both in vertical direction (channel surface to gate electrode) and lateral direction (source to drain). Therefore, the traps in gate dielectric can be profiled.

Finally, we extract RTN trap energy at zero electric field condition (ET0) in

(4)

iii

(5)

iv

Contents

Chinese Abstract

i

English Abstract

ii

Acknowledgement

iii

Contents

iv

Figure Captions

v

Chapter 1

Introduction

1

Chapter 2

Trap Position Extraction

7

2.1 Introduction 7

2.2 RTN Trap Lateral Position Extraction 7 2.3 RTN Trap Vertical Position Extraction 8

Chapter 3

Measurement Data Analysis and Discussions

14

3.1 Introduction 14

3.2 Measurement Setup and Analysis Method 14 3.3 Percolation Effect 15

Chapter 4

Analysis of Trap Energy

25

4.1 Introduction 25

4.2 Cause of VG Dependent Difference 25

4.3 RTN Trap Energy in Flat Band Extraction 25

Chapter 5

Conclusions

37

(6)

v

Figure Captions

Chapter 1

Fig.1.1 Illustration of a channel electron capture and emission by an interface trap

in our high-κ metal-gate MOSFET. And drain current waveform resulting from electron emission and capture at an interface trap.

Fig.1.2 RTN is observable when trap of energy level ET is a few kT different from

the Fermi level EF.

Fig.1.3 A typical drain current waveform of single level RTN induced current

fluctuation @(VG=0.45V VD=0.05V).

Fig.1.4 Drain current waveform of Multi-level RTN. RTN amplitudes are different

from the same device caused by percolation effect.

Chapter 2

Fig.2.1 Illustration of lateral position extraction of RTN trap. The voltage in

channel is proportion to lateral position.

Fig.2.2 Band diagram of a trap with a vertical position (XT) and a trap energy (ET)

in SiO2 layer.

Fig.2.3 Reference values of negative (a) and positive (b) slopes using 1D Poisson

equation simulation.

Table.1 is a trap vertical position extraction in different gate dielectric layers.

Chapter 3

Fig.3.1 Illustration of measurement setup and we use Agilent 4155 to measure the

high-κ and metal gate stack CMOS devices.

(7)

vi

VD1 and VD2. Second, obtain the time constant ratio <τc>/<τe> in different

VG with VD1. Third, plot ln(τc/τe) versus VG with VD1, obtain its slope and

compare with our reference points which indicates the trap locates in either HK or IL. Therefore, we can extract the trap vertical position from Table.1. Finally, repeat the steps before with VD2. Then obtain ∆VTS and the trap

lateral position can be extracted by Eq.2.1.

Fig.3.3 A two level RTN pattern with varies gate voltage, τc becomes smaller as

gate voltage VG increases. ΔVTS is the voltage difference at same time

constant ratio.

Fig.3.4 A two level RTN pattern with varies gate voltage. Capture time constant τc

becomes larger as gate voltage VG increases.

Fig.3.5 (a) is trap distribution along vertical direction. Most of traps locate in HfO2

layer. (b) is trap distribution along lateral direction, which exhibits an uniform distribution.

Fig.3.6 Illustration of channel surface potential and current pattern.

Fig.3.7 When interface trap charge position locates on the main current path, will

induce large drain current fluctuation ∆Id.

Fig.3.8 RTN amplitude distribution with different cell width. σ becomes large as

cell width is decrease.

Chapter 4

Fig.4.1 Definitions of two different types trap. We regard negative and positive VG

dependence as Type A trap and Type B trap.

Fig.4.2 Cause of VG dependent difference. Type A traps and Type B traps are

interact with channel and gate electrode respectively.

(8)

vii

condition ET0. The gate voltage varies from flat band voltage VFB to VG0.

When VG=VG0, the trap energy ET aligns to Fermi level EF.

Fig.4.4 Window on ET0 over XT plane where the trap locates within the window can

be characterized.

Fig.4.5 Shows the traps energy distribution in common case and our case. For our

devices, we consider surface potential variation rate.

Fig.4.6 Shows the number of traps in different EOT devices. Type B traps is

observable when EOT scaling down to 7.8Å.

Fig.4.7 Type B trap is observable due to |VFB| decreases. Therefore the defect band

overlap the triangle window, Type B trap can be characterized.

Fig.4.8 The average of RTN amplitude of Type B trap is nearly equal to that of Type

A. Type B trap will induce reliability problems in modern devices.

(9)

1

Chapter 1

Introduction

Metal-Oxide-Semiconductor-Field-Effect-Transistor (MOSFETs) has been widely utilized in the past few decades. When device geometry scale down to nanotechnology, the random telegraph noise (RTN) becomes an important reliability issue. It will reduce the device performance in both analog and digital circuit.[2] RTN has been proposed in recent years. Fig.1.1 is an illustration of our MOSFETs cell structure and typical Two level RTN pattern, where (i) <τc> means not only capture

time but average of empty trap state time, (ii) <τe> means either emission time or

average of empty trap state time, and (iii) ∆Id is the current fluctuation between two

levels. Fig.1.2 shows RTN is observable when trap of energy level ET is a few kT

differences to the Fermi level EF, where k is the Boltzmann’s constant, T is

equilibrium temperature. The trap of energy level can be extracted from RTN according to the following equation [3]:

Eq.1.1

where g is degeneracy factor, <τc> and <τe> are average of capture and emission

times, k is the Boltzmann’s constant and T is temperature. If we can obtain the time constant ratio <τc>/<τe>, the trap of energy ET can be extracted. Fig.1.3 shows a

typical single level RTN and obtains the time constant ratio <τc>/<τe>. Fig.1.4 shows example of multi-level RTN. However, the RTN amplitudes are different from the same device caused by percolation effect. The percolation effect will be introduced in the chapter 3. exp( ) exp( ) c T F T F e E E E E g kT kT τ τ < > = − < >

(10)

2

There are five chapters in this thesis. Chapter 1 is a brief introduction to RTN and its most important three parameters <

τ

c>, <

τ

e> and ∆Id. In Chapter 2, we will

extract trap position both in lateral direction (source to drain) and vertical direction (channel surface to gate electrode). In Chapter 3, demonstrate the measurement process flow chart and its result discussions. The extraction of trap energy at zero electric field condition ET0 will be characterized in Chapter 4. Finally, we make

(11)

3

Fig.1.1 Illustration of a channel electron capture and emission by an interface trap in

our high-κ metal-gate MOSFET. And drain current waveform resulting from electron emission and capture at an interface trap.

HfO

2

SiO

2

Gate

S

D

Trap

Channel Electron

RTN

ττττ

c

ττττ

e

I

d

D

ra

in

C

u

rr

en

t

Time

Empty trap state

(12)

4

Fig.1.2 RTN is observable when trap of energy level ET is a few kT different from the

Fermi level EF. ★

HfO

2

TiN

Si

T

HfO2

ε

HfO2

SiO

2

E

c

E

F

E

T

T

SiO2

ε

SiO2

E

T’

(13)

5

Fig.1.3 A typical drain current waveform of single level RTN induced current

fluctuation @(VG=0.45V VD=0.05V).

I

d

(

µµµµ

A

)

Time(s)

0

1

2

3

4

5

2.100

2.125

2.150

2.175

V G=0.45V VD=0.05V

Total time of empty

trap state

N

u

m

b

er

I

d

(

µµµµ

A)

Total time

of occupied

trap state

2.100

2.125

2.150

2.175

0

1000

2000

3000

4000

(14)

6

Fig.1.4 Drain current waveform of Multi-level RTN. RTN amplitudes are different

from the same device caused by percolation effect.

I

d

(

µµµµ

A

)

Time(s)

RTN#2

Die#1

RTN#1

2.4

2.7

3.0

3.3

0.970

0.975

0.980

0.985

VG=0.5V VD=-0.05V

Time(s)

RTN#2

RTN#1

Die#2

I

d

(

µµµµ

A

)

2.6

2.8

3.0

3.2

1.77

1.80

1.83

1.86

VG=0.4V VD=0.05V

(15)

7

Chapter 2

Trap Position Extraction

2.1 Introduction

From Chapter 1, we obtained the relationship between the time constant ratio

c>/<τe> and trap energy ET. In this chapter, we will derive trap position equations

in both lateral direction (source to drain) and vertical direction (channel surface to gate electrode). In order to investigate the reference point of HK/IL interface, a 1D Poisson simulation is used to evaluate dln(τc/τe)/dVG in the end of this chatper.

2.2 RTN Trap Lateral Position Extraction

From the above discussions, we know the time constant ratio <τc>/<τe> has relationship to ET-EF according to Eq.2.1. Therefore we can manipulate

different of bias conditions to reach the same time constant ratio.

Fig.2.1 illustrates the trap lateral position extraction. Since MOSFETs operate in linear region, the voltage inside channel is proportion to length direction. Thus we can extract the trap position in lateral direction YTS according to the following equation:

Eq.2.1

where LDS is the distance from source to drain, ∆VTS is the voltage difference under

same time constant ratio and ∆VDS is drain bias difference. All we have to do is to

extract the ∆VTS from measurement data analysis, and then YTS is extracted.

TS TS DS DS V Y L V ∆ = × ∆

(16)

8

2.3 RTN Trap Vertical Position Extraction

Fig.2.2 illustrates the band diagram where a trap with trap energy ET in SiO2

layer. From the Eq.1.1, assume degeneracy factor g=1 [4][5], we get:

Eq. 2.2

where ECSiO2 is the conduction band edge of SiO2, ET is trap energy level, EC is the

conduction band edge of silicon, EF is Fermi level, Φ0 is the difference between the

electron affinities of Si and SiO2 , Ψs is the surface potential band bending, XT is the

vertical position from channel surface, TSiO2 is the thickness of SiO2, VG is gate to

source voltage, VFB is the flat band voltage, Ψp is the poly gate band-bending, q is

elementary electronic charge. The right hand side in brackets is the difference between trap energy level ET and Fermi level EF. By differentiating Eq.2.2 with VG,

Eq.2.2 becomes the following equation:

Eq.2.3

Finally, the trap in vertical position from channel is obtained by the following equation:

Eq. 2.4

But our device is shown high-κ and metal gate stack MOSFETs. Thus the equation he poly gate energy variation rate is zero and EOT substitute to SiO2. Finally, Eq.2.4

becomes: 2 2 0 ( - ) - ( - ) -1 ln( ) -( - - - ) SiO SiO C T C F c T s G FB s p e E E E E X q q V V kT T τ τ Φ +     =  Ψ + Ψ Ψ     

(

)

2 ln [ ] ( -1) SiO p c e s s T G G G G d d d d kT X T q dV dV dV dV τ τ Ψ Ψ Ψ = + +

(

)

2 ln - (1- - ) SiO p c e s T s G G G G d q X d dV kT dV T dV dV τ τ Ψ Ψ Ψ    = +    

(17)

9

Eq.2.5

In addition, similar procedure can be made as the charge exchanges with gate. A positive slope is observed in gate-exchanging case. All condition is listed in Table.1.[6]

In order to investigate the reference point of HK/IL interface, a 1D Poisson simulation is used to evaluate dln(τc/τe)/dVG in both negative and positive slope

case.[6] Fig.2.3 shows the reference value in both negative and positive conditions. For our device, the negative reference point value is about -27V-1 and is about 12V-1. If the experimental value dln(τc/τe)/dVG, for example, is over -27V-1 , the trap is

located in HfO2 layer, otherwise, is located in SiO2 layer.

2 2 -ln( ) ( 1) SiO SiO c e s s T high high G G G d d d kT X T T q dV dV dV κ κ ε τ τ ε    ΨΨ = +   +  −    

(18)

10

Fig.2.1 Illustration of lateral position extraction of RTN trap. The voltage in channel

is proportion to lateral position.

V

TS1

V

DS1

V

S

=0

V

TS

V

DS

V

G

Trap

S

D

Y

TS

L

DS

V

D

V

o

lt

a

g

e

V

TS2

V

DS2

Length

direction

(19)

11

Fig.2.2 Band diagram of a trap with a vertical position (XT) and a trap energy (ET) in

(20)

12

(a)

(b)

Fig.2.3 Reference values of negative (a) and positive (b) slopes using 1D Poisson

equation simulation.

HfO

2

SiO

2

Reference:-27

V

er

ti

ca

l

p

o

si

ti

o

n

fr

o

m

ch

a

n

n

el

(

a

.u

.)

d(ln(

ττττ

cccc

/

//

/

ττττ

e

))/dV

G

-40 -35 -30 -25 -20 -15 -10

-5

0

0.0

0.2

0.4

0.6

0.8

1.0

HfO2 Layer SiO2 Layer

HfO

2

SiO

2

Reference:12

V

er

ti

ca

l

p

os

it

ion

fr

om

c

h

a

n

n

el

(

a

.u

.)

d(ln(

ττττ

cccc

/

//

/

ττττ

e

))/dV

G

0

5

10

15

20

25

30

35

40

0.0

0.2

0.4

0.6

0.8

1.0

HfO2 Layer SiO2 Layer

(21)

13

Table.1 is a trap vertical position extraction in different gate dielectric layers.

A trap in Oxide interact with channel

A trap in High-

κκκκ

interact with channel

A Trap in Oxide interact with gate electrode

A trap in High-

κκκκ

interact with gate electrode

-ln( ) ( -1) 1- high high c e s s T high ox ox ox G G G ox d d d kT X T T T q dV dV dV κ κ κ ε ε τ τ ε ε    ΨΨ    = +   +   +          -ln( ) 1 c e 1- s ox T ox high G G high d d kT X T T q dV dV κ κ ε τ τ ε     Ψ  = −    +        -ln( ) 1 c e 1 high ox 1 s T high ox G ox high G T d d kT X T T q dV T dV κ κ κ ε τ τ ε     Ψ  = −  +   −  +      -ln( ) ( 1) ox c e s s T ox high high G G G d d d kT X T T q dV dV dV κ κ ε τ τ ε    ΨΨ = +   +  −    

(22)

14

Chapter 3

Measurement Data Analysis and Discussions

3.1 Introduction

Firstly, we extract the parameters from measurement data. Then we can obtain trap position both in lateral direction and vertical direction. Secondly, we make result discussions. Finally, we introduce percolation effect.

3.2 Measurement Setup and Analysis Method

We use Agilent 4155C to measure the high-κ and metal gate stack CMOS devices with gate length of 30 nm, width of 0.03~0.16 µm and two different EOT 7.8, 12.89Å under an appropriate sampling rate as shown in Fig.3.1.

Fig.3.2 is the flow chart of our analysis process. Fig.3.3 shows a two level RTN pattern with varies gate voltage, ln(τc/τe) becomes smaller as gate voltage increases,

that is, a negative slope can be observed. We measured nMOS with VG=0.4V,

VD=0.1V and VG,step=25mV. As VG increase, the capture time <τc> decreases and

emission time <τe> increases. In other words, the time constant ratio <τc>/<τe>

become smaller when VG increases. We can obtain the slope value, dln(τc/τe)/dVG , is

about -13.426V-1. Since the slope value was smaller than the reference value -27V-1, the vertical trap position can be calculated by Eq.2.5 is 5.79Å in the SiO2 layer and

lateral trap position can be calculated by Eq.2.1 is about 0.4422LDS from source. The

other one is shown in Fig.3.4. On the contrary, As VG increase, the capture time

constant <τc> increases and emission time constant <τe> decreases. Therefore the time

(23)

15

dln(τc/τe)/dVG, is about 3.2161V-1. It’s smaller than reference value 12V-1. The trap

positions in vertical and lateral direction are 19.8Å in the HfO2 layer and 0.1462LDS

from source. Finally, we measured 124 nMOS RTN samples and the trap distribution along vertical and lateral direction is shown in Fig.3.5. Most of RTN trap position in vertical direction locates in HfO2 layer. And RTN trap position has a

uniform distribution.

3.3 Percolation Effect

While device technology node scaling down, the number fluctuation can’t explain that RTN amplitudes are different. Therefore, the atomistic random dopant induced percolation effect is proposed. RTN amplitudes in current generation are dominated by percolation effect. Fig.3.6 is the illustration channel surface potential and current pattern at channel surface.[7] The current will percolates through valleys from source to drain. When interface trap trapping a channel carrier, it will generate local potential barrier to disturb the current percolation path. Fig.3.7 shows the current fluctuation result from an interface trap charge at varies positions. If the interface trap charge position locates on the critical current path, then RTN amplitude ∆ID is

relatively large. On the contrary, interface trap charge position locates on the minor percolation path will induce small current fluctuation ∆ID.

Moreover, RTN amplitudes obey exponential distribution and have the following equation [1] [8]: Eq.3.1 1 ( ) exp( d) d I f I σ σ ∆ ∆ = −

(24)

16

where σ is distribution standard variation and is a function of doping concentration, cell length, width and oxide thickness. Integrating Eq.3.1, we obtain:

Eq. 3.2

We measured devices with same cell length and controlled different cell width. Fig.3.8 is the RTN amplitude distribution. The distribution standard variation, σ, is increase while cell width is decrease. In other words, cell width is decrease, the interface trap position has higher probability locates on the main percolation path.

( ) exp( d) d I f I σ ∆ ∆ = −

(25)

Fig.3.1 Illustration of measurement setup and we use Agilent 4155 to measure

high-κand metal gate stack CMOS devices.

17

Illustration of measurement setup and we use Agilent 4155 to measure and metal gate stack CMOS devices.

(26)

18

Fig.3.2 First, focus on a RTN and sweep a wide range of VG with two drain bias VD1

and VD2. Second, obtain the time constant ratio <τc>/<τe> in different VG with VD1.

Third, plot ln(τc/τe) versus VG with VD1, obtain its slope and compare with our

reference points which indicates the trap locates in either HK or IL. Therefore, we can extract the trap vertical position from Table.1. Finally, repeat the steps before with VD2. Then obtain ∆VTS and the trap lateral position can be extracted by Eq.2.1.

Focus on a RTN and sweep a range of

V

G

with small V

D1

and V

D2

bias

Analyze RTN and obtain its

ττττ

c

/

ττττ

e

ratio in different V

G

Plot ln(

ττττ

c

/

ττττ

e

) versus V

G

with V

D1

and obtain its slope

vertical position

Plot ln(

ττττ

c

/

ττττ

e

) versus V

G

with V

D2

and obtain its ∆

V

TS

(27)

19

Fig.3.3 A two level RTN pattern with varies gate voltage, τc becomes smaller as gate

voltage VG increases. ΔVTS is the voltage difference at same time constant ratio.

I

d

(

µµµµ

A

)

Time(s)

V

G

=0.4V, V

D

=0.1V

0

2

4

6

8

10

2

4

6

y = -13.426x

+ 6.5565

V

D

=-0.1V

V

D

=0.1V

ln

(

ττττ

c

/

ττττ

e

)

V

G

(Volt)

V

TS

0.52

0.56

0.60

0.64

0.68

0.72

-2.0

-1.5

-1.0

-0.5

(28)

20

Fig.3.4 A two level RTN pattern with varies gate voltage. Capture time constant τc

becomes larger as gate voltage VG increases.

I

d

(

µµµµ

A

)

Time(s)

0

5

10

5

6

7

V

G

(Volt)

ln

(

ττττ

c

/

ττττ

e

)

y=3.2161x

-0.2398

V

D

=0.1V

V

D

= -0.1V

V

TS

0.08

0.12

0.16

0.20

0.24

0.0

0.2

0.4

0.6

(29)

21

(a)

(b)

Fig.3.5 (a) is trap distribution along vertical direction. Most of traps locate in HfO2

layer. (b) is trap distribution along lateral direction, which exhibits an uniform distribution.

Vertical position

from channel (X

T

/EOT)

N

um

be

rs

SiO

2

HfO

2

0.0

0.2

0.4

0.6

0.8

1.0

0

10

20

30

Total samples:124

N

um

be

rs

0.0

0.2

0.4

0.6

0.8

1.0

0

10

20

30

Total samples:124

Lateral position

(30)

Fig.3.6 Illustration of channel surface potential and current pattern.

22

(31)

Fig.3.7 When interface trap charge position locates on the main current path, induce large drain current fluctuation

23

When interface trap charge position locates on the main current path, induce large drain current fluctuation ∆Id.

(32)

24

Fig.3.8 RTN amplitude distribution with different cell width. σ becomes large as cell

width is decrease.

RTN Amplitude

C

um

ul

a

ti

v

e

P

ro

ba

bi

li

ty

0

1

2

3

4

5

0.01

0.1

1

0.16x0.03

0.08x0.03

0.03x0.03

W

/

L

0.16

/

0.03

0.08

/

0.03

0.03

/

0.03

σ

0.58

0.68

0.94

(

d

)

exp(

I

d

)

f

I

σ

=

(33)

25

Chapter 4

Analysis of Trap Energy

4.1 Introduction

In this chapter, we demonstrate the extraction of trap energy at zero electric field condition ET0. First of all, we explain that dln(τc/τe)/dVG has different dependences as

VG increases. Second, we derive the trap energy at zero electric field condition ET0; in

other words, extraction of trap energy at flat band condition. Finally, result discussions.

4.2 Cause of V

G

Dependent Difference

From chapter 3, we know that dln(τc/τe)/dVG has different VG dependences. To

simplify the explanations, we define two types of trap as shown in Fig.4.1. We regard negative and positive VG dependences as Type A trap and Type B trap. Fig.4.2 shows

the band diagram on different VG conditions. From the Fig.4.2, Type A trap exchanges

carriers with channel. Type B trap exchanges carriers with gate electrode. .

4.3 RTN Trap Energy in Flat Band Extraction

Fig.4.3 illustrates nMOS band diagram with a Type A trap in IL layer at different VG biases VFB and VG0.[9] Where XT is trap vertical position from channel, ET is trap

energy, ET0 is ET at zero electric field, Ec is bottom of conduction band, Ev is bottom

(34)

26

εSiO2 is dielectric constant of IL layer, εHfO2 is dielectric constant of high-κ layer,

TSiO2 is IL layer thickness, THfO2 is high-κ layer thickness.VG0 is defined as the value

of dln(τc/τe)/dVG is zero. It means that the condition where the trap energy aligns with

Fermi level. To simplify the equations, VSiO2 and VHfO2 are voltage crossed on IL and

high-κ layer respectively and have following equations:

Eq.4.1

Thus the trap energy at zero electric field ET0 can be extracted according to Eq.1.1 and

equation becomes:

Eq.4.2

where k is the Boltzmann’s constant and T is temperature. When VG is equal to VG0,

the Eq.4.2 becomes:

Eq.4.3

Finally, the extraction of trap energy at zero electric field in other conditions listed in Table.2.

Moreover, traps in the triangular area in the ET0 over XT plane can be extracted

by RTN measurement as shown in Fig.4.4.[10] The equipotential line sweeps within this window by varying the applied gate voltage. Fig.4.5 shows the trap energy distribution in common case and our case. The former is measured in strong inversion

2 2 0 SiO SiO 1 ln c T T F s e X E E q V q kT T τ τ     =  − − − Ψ       

(

)

2 2 2 2 2 2 2 SiO SiO 0 0

SiO SiO SiO HfO HfO

T T F G FB s s T X E E q V V q T T T ε ε ε − = − − Ψ × + Ψ +

(

)

2 2 2 2 2 2 2 SiO SiO SiO 0

SiO SiO HfO HfO G FB s T V V V T T ε ε ε = − − Ψ × +

(

)

2 2 2 2 2 2 2 HfO HfO HfO 0

SiO SiO HfO HfO G FB s T V V V T T ε ε ε = − − Ψ × +

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27

condition and surface potential variation rate is zero. But the latter was our measurement condition. Most of Type A trap locates within high-κ layer. And Type B trap located within high-κ metal gate interface surface.

It is found that Type B trap is observable when dielectric EOT scaling down as shown in Fig.4.6. Fig.4.7 demonstrates trap energy distribution in two different EOT devices. Type B trap concentrates in a defect band [10]. Thus the traps can be characterized by RTN measurement. It is found that Type B trap is observable due to |VFB| decreases. |VFB| decreases as device dielectric EOT is decrease.[11][12] When

the defect band overlaps the triangle window, the trap can be characterized by RTN measurement. Average of nMOS RTN amplitudes in different types trap as shown in Fig.4.8. The amplitude of Type B trap will induce reliability problem in modern device.

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28

Fig.4.1 Definitions of two different types trap. We regard negative and positive VG

dependence as Type A trap and Type B trap.

0.63 0.66 0.69 -1.5 -1.0 -0.5 0.10 0.15 0.20 0.25 0.2 0.4 0.6 y = -13.426x+ 6.5565 ln (ττττcccc //// ττττe ) VG(Volt) y=3.2161x-0.2398 VG(Volt) ln ( ττττcccc //// ττττe )

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29

Fig.4.2 Cause of VG dependent difference. Type A traps and Type B traps are interact

with channel and gate electrode respectively.

HfO

2

SiO

2

Metal

Substrate

-exp(

)

c T F e

E

E

g

kT

τ

τ

=

Type A

Type B

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30

Fig.4.3 Illustrates band diagram about extraction of trap energy at zero electric field

condition ET0. The gate voltage varies from flat band voltage VFB to VG0. When

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31

Table.2 is trap energy at zero electric field ET0 in different condition.

(

)

(

)

SiO2 SiO2 0

SiO2 SiO2 HfO2 HfO2 0

HfO2 HfO2 SiO2 0

SiO2 SiO2 HfO2 HfO2 HfO2 g FB s T F s T g FB s T V V T T E E q q T X T V V T T T ε ε ε ε ε ε   − − Ψ +  +    − = + Ψ − − − Ψ   +  

(

)

(

)

SiO2 SiO2 0

SiO2 SiO2 HfO2 HfO2 0

HfO2 HfO2 SiO2

0

SiO2 SiO2 HfO2 HfO2 HfO2

1 g FB s T F s T g FB s T V V T T E E q q T X T V V T T T

ε

ε

ε

ε

ε

ε

  − − Ψ −  +    − = + Ψ − − − Ψ −   +     

(

)

(

)

HfO2 HfO2 0

SiO2 SiO2 HfO2 HfO2 0

SiO2 SiO2 0

SiO2 SiO2 HfO2 HfO2 SiO2

1 g FB s T F s T g FB s T V V T T E E q q T X V V T T T ε ε ε ε ε ε   − − Ψ +  +    − = − + Ψ   − − Ψ −    +     

(

)

SiO2 SiO2 0 0

SiO2 SiO2 SiO2 HfO2 HfO2

T T F g FB s s

T

X

E

E

q

V

V

q

T

T

T

ε

ε

ε

=

− Ψ ×

+ Ψ

+

Trap in Oxide interact with channel

Trap in High-k interact with channel

Trap in Oxide interact with gate electrode

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32

Fig.4.4 Window on ET0 over XT plane where the trap locates within the window can

be characterized.

Equipotential line

at V

G

= V

GH

E

G

E

T0

HfO

2

SiO

2

Metal

Si

E

c

X

T

Equipotential line

at V

G

= V

GL

Window

(Type A traps)

Window

(Type B traps)

V

GH

/V

GL

:highest/lowest

V

G

at RTN measurement

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33

Fig.4.5 Shows the traps energy distribution in common case and our case. For our

devices, we consider surface potential variation rate.

General case

(Strong inversion)

Our case

(Not strong inversion)

ET 0 -E c (e V )

Vertical Position from Channel

ET 0 -E c (e V )

Vertical Position from Channel S/dVG=0 S/dVG≠0 0.0 0.2 0.4 0.6 0.8 1.0 -1.5 -1.2 -0.9 -0.6 -0.3 0.0 0.3 Type A Type B 0.2V(channel) 0.8V(channel) 0.2V(gate) 0.8V(gate) 0.0 0.2 0.4 0.6 0.8 1.0 -1.5 -1.2 -0.9 -0.6 -0.3 0.0 0.3 Type A Type B 0.2V(channel) 0.8V(channel) 0.2V(gate) 0.8V(gate)

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34

Fig.4.6 Shows the number of traps in different EOT devices. Type B traps is

observable when EOT scaling down to 7.8Å.

Type of

RTN traps

Type A

(trap interact

with channel)

Type B

(trap interact

with gate)

EOT=7.8Å

28

10

EOT=12.89Å

37

0

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35

Fig.4.7 Type B trap is observable due to |VFB| decreases. Therefore the defect band

overlap the triangle window, Type B trap can be characterized.

EOT=7.8Å case

EOT=12.89Å case

ET 0 -E c (e V )

Vertical Position from Channel

ET 0 -E c (e V )

Vertical Position from Channel

VFB=-0.49V VFB=-0.6V 0.0 0.2 0.4 0.6 0.8 1.0 -1.5 -1.2 -0.9 -0.6 -0.3 0.0 0.3 Type A Type B 0.2V(channel) 0.8V(channel) 0.2V(gate) 0.8V(gate) 0.0 0.2 0.4 0.6 0.8 1.0 -1.5 -1.2 -0.9 -0.6 -0.3 0.0 0.3 Type A Type B 0.2V(channel) 0.8V(channel) 0.2V(gate) 0.8V(gate)

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36

Fig.4.8 The average of RTN amplitude of Type B trap is nearly equal to that of Type

A. Type B trap will induce reliability problems in modern devices.

Type of

RTN traps

Type A

(trap interact

with channel)

Type B

(trap interact

with gate)

Average of

RTN amplitude

2.28%

2.064%

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37

Chapter 5

Conclusion

A method demonstrated in this thesis to extract trap of position along vertical direction (channel surface to gate electrode) and lateral direction (source to drain). This method can help us to extract the trap profile to device. Moreover, RTN amplitude is dominant by percolation effect. When device EOT becomes thinner, the Type B trap is observable due to |VFB| decreases. Type B trap will induce severe

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38

Reference

[1] A. Asenov, Ramesh Balasubramaniam, Andrew R. Brown, and John H. Davies,“RTS Amplitudes in Decananometer MOSFETs: 3-D Simulation Study,” IEEE Trans. Electron Devices, Vol.50, pp. 839 - 845, 2003

[2] Yun Ye, Chi-Chao Wang, Yu Cao, “Simulation of random telegraph Noise with 2-stage equivalent circuit,” in ICCAD, pp. 709 - 713, Nov. 2010.

[3] Hochu Lee, Youngchang YOON, Nonmembers, Seongjae CHO, Student Membern, and Hyungcheol SHIN, Nonmember.C., “Accurate Extraction of the Trap Depth from RTS Noise Data by Including Poly Depletion Effect and Surface Potential Variation in MOSFETs,” in IEICE TRANS. ELECTRON., VOL. E90-C, NO.5 MAY 2007.

[4] Hyungcheol Shin, Byoungchan Oh, ”Characterization of Oxide Traps by RTN Measurement in MOSFETs and Memory Devices,” in IPFA, 2010.

[5] Seungwon YANG, Hochul LEE, and Hyungcheol SHIN, “Simultaneous Extraction of Locations and Energies of Two Indeoendent Traps in Gate Oxide From Four-Level Random Telegraph Signal Noise,” in Japanese Journal of Applied Physics. Vol. 47, No. 4, pp. 2606-2609, 2008.

[6] Sanghoon LEE, Heung-Jae Cho, Younghwan Son, Dong Seup LEE, and Hyungcheol Shin, “Characterization of Oxide Traps Leading to RTN in high-k and Metal Gate MOSFETs,” IEDM Tech, 2009.

[7] Continuum percolation (http://www.ibiblio.org/e-notes/Perc/contour.htm) [8] Koichi Fukuda, Yuui Shimizu, Kazumi Amemiya, Masahiro Kamoshida, and

Chenming Hu, “Random Telegraph Noise in Flash Memories-Model andTechnology Scaling,” IEDM Tech. Dig., pp. 169 - 172, 2007

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39

“Statistical Characterization of Trap Position, Energy, Amplitude and Time Constants by RTN Measurement of Multiple Individual Traps,” IEDM Tech. Dig., pp. 628 - 631, 2010

[10] R. Degraeve, M. Cho, B. Govoreanu, B. Kaczer, M.B. Zahid, J. Van Houdt, M. Jurczak, G. Groeseneken, “Trap Spectroscopy by Charge Injection and Sensing (TSCIS): a quantitative electrical technique for studying defects in dielectric stacks,” IEDM Tech. Dig., pp. 1 - 4, 2008

[11] S. Monaghana, P. K. Hurleya, K. Cherkaouia, M. A. Negaraa, and A. Schenkb “Determination of electron effective mass and electron affinity in HfO2 using MOS and MOSFET structures,” in SOLID-STATE ELECTRONICS. Vol.53, No. 4, pp. 438-444, Apr., 2009.

[12] Changhwan Choi, Student Member, IEEE, Chang-Yong Kang, Se Jong Rhee, Student Member, IEEE, Mohammad Shahariar Akbar, Siddarth A. Krishnan, Manhong Zhang, Hyoung-Sub Kim, Tackhwi Lee, Injo Ok, Mohammad Shahariar Akbar, Siddarth A. Krishnan, Manhong Zhang, Hyoung-Sub Kim, Tackhwi Lee, Injo Ok, “Aggressively scaled ultra thin undoped HfO2 gate

dielectric (EOT<0.7 nm) with TaN gate electrode using engineered interface layer,” IEEE Electron Device Lett., vol. 26, no. 7, pp. 454–457, Jul. 2005.

數據

Illustration of measurement setup and we use Agilent 4155 to measure  and metal gate stack CMOS devices.
Illustration of channel surface potential and current pattern.

參考文獻

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