Noise and Reliability in Advanced Bipolar Technologies

71
UTA Noise and Reliability Laboratory 1 Md Mazhar Ul Hoque Advisor: Prof. Zeynep Celik-Butler Department of Electrical Engineering University of Texas at Arlington Noise and Reliability in Advanced Bipolar Technologies

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Noise and Reliability in Advanced Bipolar Technologies. Md Mazhar Ul Hoque Advisor: Prof. Zeynep Celik-Butler Department of Electrical Engineering University of Texas at Arlington. Outline. Introduction: Limitations in existing noise models. Importance and motivation of research. - PowerPoint PPT Presentation

Transcript of Noise and Reliability in Advanced Bipolar Technologies

Page 1: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 1

Md Mazhar Ul Hoque

Advisor: Prof. Zeynep Celik-Butler

Department of Electrical EngineeringUniversity of Texas at Arlington

Noise and Reliability in Advanced Bipolar Technologies

Page 2: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 2

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 3: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 3

Current BJT low-frequency noise models

Gummel-Poon:

VBIC – Flicker noise due to IBE, IBEP

MEXTRAM:

MODELLA:

ff

IKFI EF

AFB

BN

2

fMULTI

KFMULTI

KFNf

MULTiN BB

B

21

222

ff

IIMULTKFiN

AFLERE

AF

B

1

2

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UTA Noise and Reliability Laboratory 4

Importance and motivation

Only one single noise source in base current: SIB=KF.IBAF.

Noise in base current dominant only for higher base series resistance.

Does not include any geometry, temperature or process parameter.

Noise in collector current and internal resistances are neglected. Noise in collector current contributes at lower base series

resistance. Noise from internal resistance contributes at higher bias current.

To model all possible noise sources in advanced bipolar transistors: Noise in base current, collector current and internal resistances.

Developing physics based scalable equations for the noise sources: Incorporating geometry, temperature and process dependant

parameters. Writing computer source code for device and circuit analysis CAD

tools to incorporate all possible noise sources in BJT.

Research goal:

Limitations in existing noise models:

Page 5: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 5

Polysilicon emitter bipolar transistors: 2nd generation BiCMOS technology, Texas

Instruments Inc. NPN and PNP transistors. Variable size, variable IFO thickness.

SiGe heterojunction bipolar transistors: 1st generation BiCMOS technology, National

Semiconductor Corporation. NPN transistors. Variable size, variable design rules. Variable doping in base and collector.

Advanced bipolar technologies under investigation

Page 6: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 6

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 7: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 7

100K 100K4.8V RS

RL 12V

br

brVS

BISr

bi bi

CISor crVS

cr

LRVS

LR

2BVS

2BR

erVS

er

SRVS

SR

1BVS

1BR

CVSBVS

(a)

(b)

Collector-base measurement setup

Page 8: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 8

CBrB IIVV SwSvSuS

CBrC IIVV SzSySxS

rVS If has the dominant contribution, ux

S

S

B

C

V

V

vy

S

S

B

C

V

V BIS If has the dominant contribution,

wz

S

S

B

C

V

V CIS If has the dominant contribution,

Collector-base measurement

for unity coherence:

CB

BC

VV

V

SS

S

22

brerr VVV SSS

Page 9: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 9

Dominant noise source 0.7x100 μm2 NPN, thickest IFO,

RS=1MΩ0.7x100 μm2 PNP, thickest IFO, RS=1MΩ

100

101

102

103

104

105

106

0

1

10-8 10-7 10-6

measured at 1 HzS

IB contribution dominant

SIC

contribution dominantS

Vr contribution dominant

S VC/S

VB

Coh

eren

ce (a

t 1 H

z)

IB (A)

0.5

10-1

100

101

102

103

104

105

106

0

1

10-7 10-6 10-5

measured at 1 HzS

IB contribution dominant

SIC

contribution dominantS

Vr contribution dominant

S VC/S

VB

Coh

eren

ce (a

t 1 H

z)

IB (A)

0.5

Calculated SVC/SVB considering SIB contribution dominant closely matches experimental SVC/SVB; SIB contribution dominant.

Page 10: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 10

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 11: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 11

Area dependence of SIB in NPN transistors

10-23

10-22

10-21

10-20

1 10

IB= 0.1mA

IB= 0.2mA

IB= 0.3mA

IB= 0.4mA

IB= 0.5mA

IB= 0.6mA

S IB (A

2 /Hz)

Emitter Area (m2)

~ 1/A

Noise source homogeneously

distributed underneath the emitter.

[ Darby Lan ]

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UTA Noise and Reliability Laboratory 12

Internal emitter resistance and ideality factor of base current

1

1.1

1.2

1.3

1.4

1.5

1.6

1.0E-03 5.0E-03 9.0E-03 1.3E-02 1.7E-02

gmi (ohm-1)

m

re=27.8 ohmnb=1.07

~ m = 27.8 gmi + 1.07

0.7x100 μm2 NPN, thickest IFO, RS=1MΩ

C

B

V

V

i

LSS

rRm

imi r

g

Bi qI

kTr

bmie ngrm

m

gmi (ohm-1)

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UTA Noise and Reliability Laboratory 13

Base current dependence diffusion fluctuation in emitter.

tunneling fluctuation in IFO.

recombination fluctuation in emitter- base space charge region.

recombination fluctuation at spacer oxide interface.

Emitter perimeter dependence Noise source distributed homogeneously around the emitter. Recombination fluctuation at the spacer oxide interface.

Emitter area dependence Noise source distributed homogeneously underneath the

emitter. Diffusion fluctuation in emitter or tunneling fluctuation in IFO.

diffdiffB BI IS

2tuntunB BI IS

2recrecB BI IS

Physical origin of SIB

Page 14: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 14

recBtunBdiffBB IIII SSSS

tunBdiffBB III SSS

Unity ideality factor of negligible .

negligible .

BI

recBIS

recBI

Physical origin of SIB (cont.)

Page 15: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 15

Diffusion and tunneling fluctuation component of SIB

1.00E-17

2.10E-16

4.10E-16

6.10E-16

8.10E-16

1.E-08 2.E-07 3.E-07 5.E-07 6.E-07 8.E-07

IB(A)

S IB/I B

(A/H

z)

~ SIB/IB = 1.13x10-9 IB + 7.85x10-17

SIBT = 1.13x10-9

SIBD = 7.85x10-17

0.7x100 μm2 NPN, medium IFO, RS=1MΩ

TBDBB III SSS

2BTBD IKFIKF

BTDB

I IKFKFI

SB

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UTA Noise and Reliability Laboratory 16

Area dependence of tunneling fluctuation of SIB in PNP transistors

Tunneling-fluctuation source homogeneously distributed underneath

the emitter.

Thickest oxide

Smaller device-dimension severely affected by

lateral diffusion and mask undercut; effective

emitter area considered.10-10

10-9

10-8

10-7

10-1 100 101 102

KF T

Emitter area: AE (m2)

~1/AE

(0.847)

Thickest IFO

Page 17: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 17

Wm WpL

0 x1 x2 x3

base mono-silicon

oxide Poly-silicon

metal contact

c

arri

er c

once

ntra

tion

p(

x) sox

sm

p(x)

p(x)

αm, Dm αp, Dp

p

pmDWs

xpxp

132

1

1

1110

p

p

moxm

mDW

ssDW

xpp

232

1

11

)()(ln

)()0(ln

moxp

p

m

m

p

p

m

m

B

I

ssDW

DW

xpxp

fDq

xpp

fDq

I

SDB

Diffusion fluctuation in SIB

αm : Hooge parameter in mono-Si

αp : Hooge parameter in poly-Si

Assumption: αm = αp =α

Page 18: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 18

Tunneling fluctuation in SIB

tan

ox

oV

oxide permittivity barrier height for the minority carriers modified Planck’s constantarea of IFOloss tangent of the oxide

A

2

2

211

mn

t

p

p

m

m

mox

B

I

t

SDW

DW

ss

I

SmnTB

AfVqkTLm

t

S

oxomn

tmn

2

3*

2 3tan

mnt

mntS

*m

q

k

L

tunneling probability of minority carriers fluctuation in effective mass of minority carrierselectronic chargeBoltzmann constant IFO thickness

mnt

Page 19: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 19

Scaling effect on SIB

Relative AF

IFO thickness0.7x100( μm2 )

0.7x0.7( μm2 )

thickest 1.12 1.89medium 1.23 2.09thinnest 1.01  

Diffusion fluctuation dominant in large (0.7x100μm2) devices.

Tunneling fluctuation dominant in small (0.7x0.7μm2) devices.

AFBI IKFS

B

AF for SIB in PNP transistors

tunBdiffBB III SSS

2BTBD IKFIKF

Page 20: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 20

Scaling effect on SIB in PNP transistors with thickest IFO

Total SIB

Tunneling fluctuation component of SIB

Diffusion fluctuation component of SIB

SIB

SIBT

SIBD

10-24

10-23

10-22

10-21

10-20

10-19

S I(A2 /H

z)

A = 0.7x100m2

AF=1.12

Diffusion fluctuation dominant

10-24

10-23

10-22

10-21

10-20

10-19

10-18

A = 0.7x10m2

AF=1.79

10-24

10-23

10-22

10-21

10-20

10-19

10-8 10-7 10-6 10-5

S I(A2 /H

z)

A = 0.7x0.7m2

AF=1.89

Tunneling fluctuation dominant

10-24

10-23

10-22

10-21

10-20

10-19

10-8 10-7 10-6 10-5

IB(A)

A = 0.7x2.8m2

AF=1.66

Page 21: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 21

Poly-Si emitter

oxide dl

ds

mono-Si emitter

dl < ds

Large device small device

base

Thicker polysilicon in smaller transistors. Lower dopant concentration; shallower junction.

higher chance for minority carriers from base to reach and tunnel through the oxide interface; tunneling fluctuation dominant.

FLUORINE EFFECT: fluorine enhances oxide break-up. lower fluorine (from BF2) concentration causes less oxide breakup in smaller PNP devices; increased

tunneling: (no fluorine in the transistors studied here)

Emitter plug effect in smaller device

Page 22: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 22

Poly-Si emitter

oxide d1

d1 < d2

base

d2

mono-Si emitter

Polysilicon surface almost perpendicular to wafer surface at emitter window sidewall.

Reduced doping concentration in the perimeter region.

Shallower junction close to emitter window perimeter. An overlap of the emitter-base space charge region

with poly-mono silicon interface might occur close to perimeter.

Perimeter depletion effect

Page 23: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 23

Perimeter/area vs. emitter area

emitter area (μm2)

Peri

met

er/a

rea

For smaller transistors perimeter/area ratio increases sharply. non ideal peripheral component of base current

increases. fluctuation in non-ideal base current might become

significant.

Perimeter depletion effect in smaller transistors

1.00

2.00

3.00

4.00

5.00

0 20 40 60 80 100 120

Page 24: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 24

Effect of IFO on DC characteristics of 0.7x100μm2 NPN transistors

0

100

200

300

400

500

600thickest IFOmedium IFOthinnest IFO

0.3 0.4 0.5 0.6 0.6 0.7 0.8 0.9 110-14

10-12

10-10

10-8

10-6

10-4

10-2

100

102

IC (thickest IFO)

IB (thickest IFO)

IC (medium IFO)

IB (medium IFO)

IC (thinnest IFO)

IB (thinnest IFO)

0.3 0.4 0.5 0.6 0.6 0.7 0.8 0.9 1

IC

IB

Cur

rent

(A)

Cur

rent

gai

n

VBE

(V)

IFO increases the current gain significantly.

Page 25: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 25

Effect of IFO on DC characteristics of 0.7x100μm2

PNP transistors

10-12

10-10

10-8

10-6

10-4

10-2

100

102

0.3 0.4 0.5 0.6 0.6 0.7 0.8 0.9 1

IC (thickest IFO)

IB (thickest IFO)

IC (medium IFO)

IB (medium IFO)

IC (thinnest IFO)

IB (thinnest IFO)

IC

IB

0

40

80

120

160

0.3 0.4 0.5 0.6 0.6 0.7 0.8 0.9 1

thickest IFOmedium IFOthinnest IFO

VBE

(V)

Cur

rent

(A)

Cur

rent

gai

n

No significant improvement in current gain with increasing IFO thickness.

Page 26: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 26

Effect of interfacial oxide on SIB in NPN and PNP transistors

10-24

10-23

10-22

10-21

10-20

10-19

10-8 10-7 10-6 10-5

thickest IFOmedium IFOthinnest IFO

S IB (A

2 /Hz)

IB (A)

10-24

10-23

10-22

10-21

10-20

10-19

10-8 10-7 10-6 10-5

thickest IFOmedium IFOthinnest IFO

S IB (A

2 /Hz)

IB (A)

0.7x100 μm2 NPN 0.7x100 μm2 PNP

IFO increases SIB both in NPN and PNP transistors.

Page 27: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 27

In PNP, diffusion fluctuation in mono and poly-silicon emitter dominates; less effect of IFO.

In NPN, both diffusion fluctuation in mono and poly-silicon emitter, and tunneling fluctuation through IFO contribute.

tundiffB IBIBI SSS 2IBKFIBKF TD

AFBI IKFS

B

Difference in the effect of IFO in NPN and PNP transistors

0.7x100μm2 transistors

Device type

AF

PNP ~ 1NPN ~ 1.5

Page 28: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 28

Physics behind difference in NPN and PNP transistors

Hole barrier height larger than electron barrier height at interfacial oxide: minority carriers (holes) severely suppressed in NPN; significant

current gain improvement. minority carriers (electrons) not suppressed significantly in

PNP; little current gain improvement. Effect of fluorine:

fluorine accelerates oxide break-up. fluorine from emitter dopant BF2 in PNP creates more oxide

breakup; reduced tunneling and increased diffusion through broken oxide.

Increased oxide breakup and faster diffusion of boron makes the emitter deeper in PNP: increased recombination-base current, reduced current gain

improvement. higher diffusion fluctuation in larger monosilicon emitter region.

Different oxidation rate of the base material could create different IFO thickness for NPN and PNP transistors on the same wafer.

Page 29: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 29

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 30: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 30

10-21

10-20

10-19

10-18

10-17

10-16

10-15

10-5 10-4 10-3

thickest IFO: AFC=1.72medium IFO: AFC=1.71

S IC (A

2 /Hz)

IC (A)

10-21

10-20

10-19

10-18

10-17

10-16

10-15

10-6 10-5 10-4 10-3

thickest IFO: AFC=1.54medium IFO: AFC=1.74thinnest IFO: AFC=2.01

S IC (A

2 /Hz)

IC (A)

0.7x100 μm2 NPN 0.7x100 μm2 PNP

Effect of interfacial oxide on SIC

IFO increases SIC both in NPN and PNP transistors.

Page 31: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 31

Some researchers assign the same origin of SIB to SIC.

is merely an amplified SIB.

SIC modeling

DCNCC III SSS

CDCN IKFIKF 22L

VI

R

SS CC

Number fluctuation in SIC requires further investigation.

carrier transport determined by electric field in base collector

junction.

Hooge type fluctuation at the collector side of base-

collector junction.

)12( KCI IS

C

KCIh 22

1K

1.E-07

1.E-06

1.E-05

1.E-05 1.E-04 1.E-03IC (A)

outp

ut c

ondu

ctan

ce h 22

(ohm

-1)

~ IC(0.98)

K=0.98

0.7x100μm2 PNP, thickest IFO

Page 32: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 32

n(x)

α, D

Diffusion fluctuation in SIC

)()0(ln2 BBC

I

Wnn

fWqD

I

SDC B

Bs

B WDWD

Wnn

//

)()0(

s saturated drift velocity

WB

collector

0

base mono-silicon

oxide Poly-silicon

metal contact

c

arri

er c

once

ntra

tion

n(

x)

Page 33: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 33

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 34: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 34

Effect of bias on coherence in NPN and PNP transistors

0

0.2

0.4

0.6

0.8

1

1.2

100 101 102 103 104 105C

oher

ence

Frequency (Hz)

a: IB= 301 nA

b: IB=493 nA

c: IB=1.09

d: IB=1.48

e: IB=1.99

0.7x100 μm2 NPN, thickest IFO, RS=1MΩ 0.7x100 μm2 PNP, thickest IFO, RS=1MΩ

0

0.2

0.4

0.6

0.8

1

100 101 102 103 104 105

Coh

eren

ce

Frequency (Hz)

a: IB= 72 nA

b: IB=264 nA

c: IB=384 nA

d: IB=546 nA

e: IB=760 nA

'a' to 'e'(increasing bias current)

Coherence decreases with increasing bias in NPN transistor.

Page 35: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 35

10-17

10-16

10-15

10-14

10-13

10-12

100 101 102 103 104 105

RS=1MRS=100KRS=50KRS=10KBackground noise

S VB (V

2 /Hz)

Frequency (Hz)

decreasing RS

10-15

10-14

10-13

10-12

10-11

10-10

10-9

100 101 102 103 104 105

RS=1MRS=100KRS=50KRS=10KRS=1KRS=120

S VC (V

2 /Hz)

Frequency (Hz)

decreasing RS

Effect of varying base bias resistance (RS) on SV

0.7x100 μm2 NPN, thickest IFO, IB=384nA

SVC does not decrease any more for RS smaller than 1 kΩ. SVB becomes comparable to system background noise for

RS smaller than 10 kΩ.

Page 36: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 36

4.8V 12V

1K100K

RS

RL

SVE SVC

RE

Collector-emitter measurement setup

Page 37: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 37

0.7x100 μm2 NPN, thickest IFO, RS=100Ω

Dominant noise source in collector-emitter measurement

Unity coherence.One single

dominant noise source:

SIC or SVr?

101

102

103

104

105

10-7 10-6 10-5

measured

SIC

contribution dominant

SIB

contribution dominant

SVr

contribution dominant

S VC/S

VE

cohe

renc

e at

1 H

z

IB (A)

0.5

1

0

Page 38: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 38

10-18

10-17

10-16

10-15

10-14

10-4 10-3 10-2

thickest IFO : AFC=3.21

medium IFO : AFC=3.58

S IC (A

2 /Hz)

IC (A)

SIC in collector-emitter measurement

0.7x100 μm2 NPN, RS=100Ω

no physical explanation for

such high current dependence:SPURIOUS?

AFCCI IKFCS

C

58.3~05.3AFC

Page 39: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 39

10-15

10-14

10-13

10-12

10-11

10-4 10-3 10-2

thickest IFO

medium IFO

S Vr (V

2 /Hz)

IE (A)

~ IE

2

err VV SS

erE SI 2

brerr VVV SSS

0.7x100 μm2 NPN, RS=100Ω

Effect of interfacial oxide on SVr

Page 40: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 40

Effect of internal resistance in collector-emitter measurement

0.7x100 μm2 NPN, thickest IFO

Collector-base measurement, RS=1MΩ

Collector-emitter measurement, RS=100Ω

1.E-12

1.E-11

1.E-10

1.E-09

1.E-08

1.E-07

1.E-06

1.E-05

1.E-04

1.E-03

0.4 0.5 0.6 0.7 0.8 0.9 1VBE (V)

Bas

e cu

rren

t (A

)

noise measurement

region

exponential fitted line( η=1.12 )

1.E-12

1.E-11

1.E-10

1.E-09

1.E-08

1.E-07

1.E-06

1.E-05

1.E-04

1.E-03

0.4 0.5 0.6 0.7 0.8 0.9 1VBE (V)

Bas

e cu

rren

t (A

)

noise measurement

region

exponential fitted line( η=1.1 )

Page 41: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 41

Tunneling fluctuation through interfacial oxide

AfVqkTLm

t

S

r

S

oxomj

t

e

r mje

2

3*

22 3tan

mjt tunneling probability of the majority carriers through IFO

mjtS fluctuation in mjt

base mono-silicon

oxide Poly-silicon

metal contact

fluctuation in minority carrier tunneling

fluctuation in majority carrier tunneling erS

TBIS

Page 42: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 42

Interfacial oxide thickness

Relative Emitter area interfacial oxide thickness (Å) fromIFO thickness (μm2) minority carrier majority carrier

    fluctuation (SIBT) fluctuation (SVre)

    PNP NPN NPN  0.7x100 14.50   4.08

thickest 0.7x10 16.90    

  0.7x2.8 14.50    

  0.7x0.7 11.00    

medium 0.7x100 4.13 11.30 2.26

  0.7x0.7 8.78    

thinnest 0.7x100   2.70  

  0.7x0.7   2.81  

VVh 363.0 VVe 097.0

oh mm 81.0* oe mm 08.1*

tan

Inconsistency:uncertainty in loss tangent, mass and potential barrier of the carriers at oxide interface.

obtained

from Kleinpenning et. al, IEEE Trans. on Elec. Dev., vol. 42, 1995.

as high as 1.8V and as high 1 V found in literature.

unique for each sample.tanhV eV

Page 43: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 43

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 44: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 44

Experimental and Simulated data

Simulated Noise vs Lab

0.1

1.0

10.0

100.0

1000.0

1.E+01 1.E+02 1.E+03 1.E+04 1.E+05 1.E+06 1.E+07

Freq (Hz)

Nois

e (V

/sqr

t(Hz)

AU)

Production Models THS4271 Lab Spot Models

Noise data measured at TI

Simulation results vs. Measured

Experimental data

Simulated with existing model

Simulated with modified model

Page 45: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 45

Computer source code

Existing BERKELEY SPICE source code has been modified. Source code written at Texas Instruments Inc. by

Douglas Weiser. and have been added to the

existing noise model in addition to . An area scaling factor has been added to the

equations to make the noise models scalable.

The modified BERKELEY SPICE source code is available to the SRC (Semiconductor Research Corporation) member companies (TI, Intel, IBM, Motorola, National Semiconductor Corporation, AMD, etc.)

CIS rVS

BIS

Page 46: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 46

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 47: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 47

xyz

shallow trench shallow trench

n+ poly Si emitter SiGe epi-SiGe poly interface dielectric isolation

n+ Si emitter

p+ SiGe poly p+ SiGe poly

DTI(deep trench

isolation)

p+ SiGe epi

p+ SiGe epi

DTI(deep Trench

isolation)

p SiGe epi

DTI(deep trench

isolation)

Device structure under investigation

x = emitter-poly overlapy = composite enclosure of polyz = DTI enclosure of composite

Selectively implanted

collector

Transistors described as x-y-z; e.g. SIC:25-10-25.

Page 48: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 48

100

101

102

103

104

105

10-6 10-5 10-4

experimentalS

IB contribution dominant

SIC

contribution dominantS

Vr contribution dominant

S VC/S

VB

IB (A)

SIC:20-20-40

103

104

105

106

0

0.2

0.4

0.6

0.8

1

10-6 10-5 10-4

base series resistanceinput resistancecoherence at 10 Hz

Res

ista

nce

(

Coh

eren

ce a

t 10

Hz

IB (A)

SIC:20-20-40

Dominant noise source

Calculated SVC/SVB with SIB contribution dominant closely matches experimental SVC/SVB ; SIB contribution dominant.

IB increases rπ decreases coherence increases.

Page 49: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 49

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 50: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 50

Selectively implanted collector (SIC)

Higher collector doping

Higher collector-base capacitance

Lower maxf

Retarded Kirk-effect Higher Tf

Selectively implanted collector

Higher and reduced degradation of

Reduced base-width by compensation of boron tail

Tf

maxf

Page 51: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 51

Effect of selectively implanted collector

10-14

10-12

10-10

10-8

10-6

10-4

10-2

0

50

100

150

200

250

300

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

SIC:25-10-2525-10-25

noise measurementregion

I B, I

C (A

)

curr

ent g

ain:

VBE

(V)

IC

IB

10-21

10-20

10-19

10-18

10-7 10-6 10-5

SIC:25-10-2525-10-25

S IB.f

(A2 ) a

t 10

Hz

IB (A)

~ IB

2

SIC retards Kirk-effect higher β for wider range of bias.

No degradation in noise.

Page 52: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 52

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 53: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 53

Higher extrinsic base implant (HEBI)

High dose implantation in extrinsic base

Smaller base resistance

Higher maxf

Lower RF noise figure

Page 54: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 54

Effect of higher extrinsic base implant

10-14

10-12

10-10

10-8

10-6

10-4

10-2

0

100

200

300

400

500

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

SIC:25-10-25HEBI,SIC:25-10-25

noise measurementregion

I B, I

C (A

)

curr

ent g

ain:

V

BE (V)

IC I

B

10-21

10-20

10-19

10-18

10-7 10-6 10-5

SIC:25-10-25HEBI,SIC:25-10-25

S IB.f

(A2 ) a

t 10

Hz

IB (A)

~ IB

2

Higher gain for higher extrinsic base implant is possibly due to relative changes in Ge profile.

No degradation in noise.

Page 55: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 55

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 56: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 56

SiGe epi-SiGe poly interface

Non-selective epitaxial growth of SiGe base

SiGe epi on top of exposed Si

SiGe poly on top of shallow trench

Interface of epitaxial and polycrystalline SiGe

smaller distance between SiGe epi-SiGe poly interface & intrinsic base

Smaller base-collector capacitance

Higher maxf

TfHigher

Page 57: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 57

Effect of SiGe epi-SiGe poly interface

10-14

10-12

10-10

10-8

10-6

10-4

10-2

0

50

100

150

200

250

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

SIC:20-10-25SIC:20-20-40

noise measurement region

I B, I

C (A

)

curr

ent g

ain:

V

BE (V)

IC

IB

10-22

10-21

10-20

10-19

10-18

10-17

10-7 10-6 10-5 10-4

SIC:20-20-40SIC:20-10-25

S IB.f

(A2 ) a

t 10

Hz

IB (A)

~ IB

2

No significant impact on DC characteristics. No degradation in noise; boron implantation in

extrinsic base passivates the interface-defects.

Page 58: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 58

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 59: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 59

Effect of emitter-poly overlap

10-15

10-14

10-13

10-12

10-11

10-10

IB = 0.5 A

IB = 1 A

IB = 4 A

100 101 102 103

~ 1/f

S VC (V

2 /Hz)

SIC:20-10-25

Frequency (Hz)

10-15

10-14

10-13

10-12

10-11

10-10

100 101 102 103

IB = 0.5uA

IB = 1uA

IB = 4uA

IB = 10uA

S VC (V

2 /Hz)

Frequency (Hz)

SIC:10-10-25~ 1/f

Significant g-r noise for smaller emitter-poly overlap. g-r noise diminished at higher currents in comparison

to increased 1/f noise.

Page 60: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 60

Effect of emitter-poly overlap (cont.)

10-22

10-21

10-20

10-19

10-18

10-17

10-7 10-6 10-5 10-4

SIC:25-10-25SIC:20-10-25SIC:10-10-25

S IB .f

at 1

0 H

z (A

2 )IB(A)

~ IB

2

10-14

10-12

10-10

10-8

10-6

10-4

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

SIC:25-10-25SIC:20-10-25SIC:10-10-25

I B (A

)

VBE

(V)

r = 3.08

Higher non-ideal base current for smaller emitter-poly overlap.

SIB deviates from ~IB2 dependence for smaller emitter-

poly overlap.

Page 61: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 61

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 62: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 62

10-22

10-21

10-20

10-19

10-18

10-17

10-7 10-6 10-5 10-4

20-20-40SIC:20-20-4010-20-40SIC:10-20-4025-10-25

SIC:25-10-25SIC:20-10-25SIC:10-10-25HEBI:25-10-25HEBI,SIC:25-10-25

S IB .f

at 1

0 H

z (A

2 )

IB(A)

~ IB

2

1

1.2

1.4

1.6

1.8

2

1 1.5 2 2.5 3 3.5 4

AF

r

smaller emitter-poly overlap (x = 0.1 m)

Physical origin of SIB

All except smaller emitter-poly overlap ηr≤1.6, AF≈2.

Smaller emitter-poly overlap ηr>3, AF≈1.

Page 63: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 63

SIB model

21 BI IKFS B

22

1)2(1

1

i

iN

iB

fIKF

1N i

2AF

Total number of traps in emitter- base junction.

Characteristics time constant of ith trap.

SRH g-r centers in E-B depletion region

Capture and emission of carriers

Perturbation in free carrier density

Continuous distribution of time constants

1/f noiseSuperpositionof Lorentzians

: :

Page 64: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 64

Noise from Surface recombination current

Smaller emitter-poly overlap

Extrinsic base moves closer to emitter perimeter

Two parallel BJTs

n+ emitter, p SiGe intrinsic base, collector

n+ emitter, p+ SiGe extrinsic base, collector

Thin depletion region & high electric field

Recombination through trap assisted tunneling

n+ emitter - p+ extrinsic base diode

n+ poly Si emitter

p SiGe epi(intrinsic base)

p+ SiGe epi(extrinsic base)

n+ Si emitter

dielectric isolation

Page 65: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 65

SIB model for smaller emitter-poly overlap

1AF

fKTAC

NqKF

sc22

42

2N

A scC

Oxide slow state volume density.

Attenuation tunneling distance.

Area of surface region.

Surface capacitance per unit area.

: :

: :

AFBI IKFS B

From intrinsic E-B junction

From surface of E-B junction

22

21 svB BBI IKFIKFS

Page 66: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 66

1.E-15

1.E-14

1.E-13

1.E-12

1.E-11

1.E-10

1.E-09

1.E-08

1.E-07

1.E-06

1.E-05

1.E-04

1.E-03

0 0.2 0.4 0.6 0.8 1

ηi = 1.09

ηr = 1.47 IBs

IBv = IB - IBs

I B(A

)

VBE(V)

22

2

12KF

I

IKF

I

S

s

v

s

B

B

B

B

I

2N = 9.65x1015 ~ 3.08x1016 /eV/cm3.

Published values = 1017 ~ 1018 /ev/cm3.

Uncertainties in and . scC)exp(KT

qVII

r

BEBB sos

22

21 svB BBI IKFIKFS

Separation of SIB components

Page 67: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 67

Outline Introduction:

Limitations in existing noise models. Importance and motivation of research.

Noise in polysilicon emitter bipolar transistors: Experimental setup. SIB modeling:

noise mechanisms, effect of bias, geometry and IFO. SIC modeling:

noise mechanisms, effect of bias and IFO. SVr modeling:

Collector-emitter measurement setup, effect of bias and IFO. Computer codes.

Noise in SiGe heterojunction bipolar transistors: Dominant noise source. Effect of selective collector implant. Effect of higher extrinsic base implant. Effect of SiGe epi-SiGe poly interface. Effect of emitter-poly overlap. Physical origin and modeling of SIB.

Conclusion

Page 68: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 68

Conclusion

The base current fluctuations dominate at relatively high external base resistance values.

Collector current fluctuations contribute when the external base resistance becomes comparable to or less than the input resistance.

Fluctuations caused by the internal emitter resistance take over for high currents with small base resistance.

From the dependence of noise magnitude on the geometry and temperature, fluctuations in the non-ideal base current was neglected.

Polysilicon emitter bipolar transistors:

Page 69: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 69

Conclusion (cont.)

SIB originates from diffusion fluctuations of minority carriers in poly and monosilicon emitter, and tunneling fluctuations of minority carriers at IFO; SIC from diffusion and number fluctuations of minority carriers in base, and SVre from tunneling fluctuations of majority carrier at IFO.

Diffusion fluctuations dominate over the tunneling fluctuations for larger devices; tunneling fluctuations dominate over diffusion fluctuations for the smaller ones.

IFO increases the current gain significantly in NPN; both tunneling and diffusion fluctuations contribute.

No significant improvement with increasing IFO thickness in PNP; diffusion fluctuations dominant.

Page 70: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 70

Conclusion (cont.)

Selectively implanted collector causes higher current gain for wider range of bias; no noise degradation.

No significant effect of SiGe epi-SiGe poly interface and higher extrinsic base implant.

Severe impact of smaller emitter-poly overlap: increases non-ideality of the base current;

trap assisted tunneling current due to parasitic BJT.

g-r noise at lower bias currents. At higher bias currents, fluctuations from trap

assisted tunneling current contribute. For all transistors except smaller emitter poly

overlap, noise originates from intrinsic E-B junction.

SiGe heterojunction bipolar transistors:

Page 71: Noise and Reliability in Advanced Bipolar Technologies

UTA Noise and Reliability Laboratory 71

Acknowledgements

Zeynep Celik-ButlerSupervising Professor:

UTA Noise & Microsensor Group:

Semiconductor Research Corporation:

Texas Higher Education Board, Advanced Technology Prog.

Texas Instruments Inc. National Semiconductor Corporation

Bigang Min, Siva P. Devireddy, Shadi Dayeh, Enhai Zhao