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1 Reliability Experience Bill Roesch (Rush) TriQuint Fellow, Reliability Science (503) 615-9292 [email protected]

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1

Reliability

Experience

Bill Roesch (Rush) TriQuint Fellow, Reliability Science

(503) 615-9292

[email protected]

2

Purposes:

Increase Your Reliability Knowledge Base. (Share Experience)

Answer Questions

About Reliability.

2

Outline

3

Basics

• A little about Compound Semiconductors

• Vocabulary

• A new era for reliability

• Arrhenius methodology review

Beyond the Basics . . . • Learning from customers: it’s a Natural

• Breaking the cycle of learning curves

• Tipping your cap

• The Black magic of current density

• Amped up on defects

• The new PC

4

Why GaAs Reliability?

• Volume drives reliability.

• GaAs is different than silicon.

• New compounds (GaN) have more to go.

“Reliability counts.

In almost every case integrated electronics

has demonstrated high reliability.”

Gordon Moore, Electronics Magazine, 1965.

Cramming more components onto integrated circuits

4 of 50

5

I II III IV V VI VII VIII

T r a n s i t i o n M e t a l s

Semiconductors and Compounds

6

Contrasting Improvement Methods 1. No significant historical improvement in lifetimes.

Performance Reliability Yield Focus

Si Shrink Physical

Size New Materials Defects

C.S. New

Materials Don’t Shrink (Good Enough)

Parametric

See for yourself – Check out the International

Technology Roadmap for Semiconductors.

There is an RF for wireless communications chapter!

2. Moore’s Law doesn’t exactly apply to Compound Semiconductors.

6 of 50

7

Choosing Materials

“Silicon is likely to remain the basic material, although

others will be of use in specific applications. For

example, gallium arsenide will be important in

integrated microwave functions.”

Gordon Moore, Electronics Magazine, 1965.

Cramming more components onto integrated circuits

8

What’s so great about GaAs?

Direct Gap, Low Electron Effective Mass

Perfect for LEDs & Solar Cells

High Speed Electrons

9

Motivation – What indicates we’ve made it?

$58.6B$53.7B

$128.3B

Wireless

Computers

Everything Else

2011 Spending on Microchips Computerworld, February 1, 2012

Wireless Computers

Everything Else

9 of 50

Vocabulary – What is an RF Product?

11

There’s no enigma like six sigma

47 Cell phones are being produced every second.

5.6

4 Births per second worldwide.

1.3 1.5 1.2 1.1 1.0 1.7

3.2 5.6

1

3

5

7

Cars

PC

s

iPO

D,G

adg

ets

Wired

Ph

on

es

Cre

dit C

ard

s

TV

s

Radio

s

Mobile

Phon

es

Pe

op

le

Bill

ions

7.02

12

Reliability Vocabulary – Goals

Data: Measure degradation

Finding the “Flux Capacitor”

• In search of the “special lot”

• Edges produce data

• Goal 1: to predict future fallout

• Goal 2: to improve reliability

• Goal 3: to ensure reliability

• Wearout and Defects

Reliability Engineer: obsessed with time • Measure Rates of Failure

• Acceleration Factors: Ea, n, g

• Probability and Confidence Levels

• Learning cycles and screening

13

Success

Testing

Categories of Reliability Test

1. Capability Testing

– When does it fail?

Time

Wearout

Extrinsic

Region

Intrinsic Region

Fa

llou

t (

Un-r

elia

bili

ty)

Early or Infant

Extrinsic

Region

1 3

2. Success Testing

– Is it good enough?

3. Defect Characterization

– Measure & reduce the minority failure populations.

2

14

Courtesy of Dr. Hans Stork

CTO Texas Instruments

14

15

Historical Eras of Reliability

Era Definition VLSI Silicon Example Compound Semi

1 Materials 1975 Materials: Si, Al, SiO2 1980 GaAs, Au, SixNx

2 Mechanisms (Major Reliability

Problems)

1980 Mobile-ions, E-M,

S-M, TDDB, Corrosion,

Cracked-Die, ESD, Soft-

Errors

1985 Sinking Gates,

Ohmic Contacts

3 Physics

(Major Reliability

Physics Effort)

1985 Models… EM, Mobile-Ions, SM, TDDB,

Corrosion, Temp-Cycling,

Alpha Particles, EOS/ESD

1990 Models… Thermal Diffusion,

JEP118, Hydrogen

4 Engineering (Major Reliability

Engineering Effort)

1990 Building-In Reliability, with

Emphasis on WLR & DIR

1995 WLR, Passives, BIR

5 Defects

(Major Defect-

Reduction Effort)

1995 SPC & 6 Sigma Outliers

2000 Capacitors,

Interconnects

16

Outline

Basics

• A little about Compound Semiconductors

• Vocabulary

• A new era for reliability

• Arrhenius methodology review

Beyond the Basics . . .

• Learning from customers: it’s a Natural

• Breaking the cycle of learning curves

• Tipping your cap

• The Black magic of current density

• Amped up on defects

• The new PC

17

How to Accelerate?

Temperature Current Humidity Voltage

Mech. Stress Contaminants

Radiation Electric Fields

Force Power

Pressure Light

How long does reliability qualification really take?

These

are the

reliability

engineer’s

tools

18

Arrhenius: Godfather of Reliability

Time To Fail = exp[Ea/k(1/Temp)] Ea = Activation Energy (in eV = “Electron Volts”), k = Boltzman’s Constant

Graphical analysis using log time and 1/temperature

grid to reveal thermal acceleration factor.

19

FET Technology Primary Wearout Mechanism

• No Gate Oxide.

• Reliable, Recessed, Schottky Gate. Not MOS!

• Less Susceptible to Surface Effects.

• No Ionic Contamination.

• Relatively Short Process Flow.

20

FET Degradation Distribution

12 Samples out of 24 FETs

Actual Data: notice time to reach 20%

reduction in channel current.

21

245ºC FET Distribution

These are individual FET times to

failure plotted on a lognormal grid.

22

FET Distributions

Distributions for the same population

aged at five different temperatures.

23

FET Activation Energy

Median Lifetimes for wearout distributions measured at

245ºC, 260ºC, 275ºC, 290ºC, and 310ºC

Slope / Boltzmann’s Constant = Activation Energy

24

FET Degradation

Reference Device (time = 0 hours) Extreme Wearout after 26 week Lifetest.

(4380 hours)

25 25

26 26

27

Element AE Summary

M1-M2

Activation Energy shown for various circuit

elements used in integrated components.

28

Long Term Trend for pHEMT

Basics Review Basics

• Vocabulary: Reliability is the duration of quality – We’re headed the same direction, just different words for it.

• A new era for reliability: Improvement follows a progression – The path to improvement is well travelled.

– Compound Semiconductors don’t obey Moore’s law.

– One man’s trash is a reliability man’s treasure.

• Arrhenius methodology review: Time to move beyond temperature

High

Temperature

WEAROUT

VOLUME

QUALITY

YIELD

DEFECTS

“I think I dropped my car

keys over there, but let’s look

here because the light is

much better.” 29

– We have to stop looking where the light seems to better.

• Are we doomed to repeat history? We know where we’ve been.

30

Outline

Basics

• A little about Compound Semiconductors

• Vocabulary

• A new era for reliability

• Arrhenius methodology review

Beyond the Basics . . .

• Learning from customers: it’s a Natural

• Breaking the cycle of learning curves

• Tipping your cap

• The Black magic of current density

• Amped up on defects

• The new PC

31

Natural

Field Returns

Artificial

Accelerated

Qualification

“Standard”

Definition of “Natural” Failure Mechanisms

32

Correct a previous misconception. –Customer Abuse Our parts would be fine if customers would just stop

abusing them.

–Compound Semiconductors are “Special” ESD Sensitivity – High Frequency circuits are touchy

Defects don’t matter – it’s all about parametric stuff

The material is brittle and not thermally conductive

What happens

in the real world?

56,640

Delamination : 655 Cap Short : 410

Metal Shorts : 337 Die Crack : 317

ESD : 219 Design Errors : 191 Test Coverage : 156

Interconnect Open : 142 Overstress : 139

Assembly Errors : 97 Subcomponent Fails : 64

6σ &

1 Billion

Widgets

Motivation Behind Natural Mechanisms

33

Scenarios

34

Customer

Category

RF Product

Type Volume

Claimed

Trigger Actual Trigger

Automotive PA Low > zero Every Failure

Standard

Product Various Large 100 DPM 100-2000 DPM

Cell Phone PA High 100 DPM 200-2000 DPM

Cell Phone RF High 100 DPM 20,000 DPM

Long Haul Digital Medium 100 DPM 20,000 DPM

PC/LAN LNA High 200 DPM 20,000 DPM

Cell Phone PA High 40 DPM 50,000 DPM

Levels Triggering Returns

35

Failure Analysis Technique Frequency of Use

1% 2 Dimensional FIB Cross-section

1% Backside Infrared Microscopy (through wafer)

1% Energy Dispersive Analysis of X-Ray (EDAX)

2% Scanning Transmission Electron Microscopy (STEM)

2% Focused Ion Beam (FIB) Cross Section

2% Scanning Electron Microscope (SEM)

3% Package Bake (Dry) & Desolder

3% Liquid Crystal Hot Spot Detection

4% Mechanical Polish Cross Section

4% Light Emission Fault Detection

5% Bench Test (Engineering Test)

5% Chemical Layer-by-layer deprocessing

15% Internal Electrical Bias

23% Scanning Acoustic Microscopy

32% Production Electrical Measurement Test

57% Internal Visual Inspection

57% Package Decapsulation

63% Real-time Magnified X-Ray

93% Pin-to-Pin Curve Trace

95% External Visual Inspection

Frequency Analytical Method

Return

Received

Datalog

Tracking

External Visual

& Marking

Pin-to-Pin

Curve

Tracer

X-Ray

Acoustic

Microscope

Package

Decapsulation

Internal

Visual

Internal

Electrical

Bias

Analysis

Report

Customer

Communication

Fault

Isolation

Pro

du

ctio

n T

est

Failure Analysis

• Snapshot of 100 Analyses • 600 individual “Failures” • 32 Customers • 2% were from “Field”

36

►Electrical Overstress

►Thermal Overstress

►Mechanical Overstress

►Assembly & Packaging

►No Fault Found

►Design

►Test

►Others

►Defects

Natural Mechanism Examples

36

37

De

sig

n 3%

Test Issue

9%No Fault

Found

33%

Assembly/

Packaging

Issues

13%

Fab

Process

Defect

18%

EOS/ESD

24%

Design

Issue

4%Fab

Process

Defect

32%

Assembly/

Packaging

Issues

19%

No Fault

Found

19%

Test Issue

7%

EOS/ESD

19%

Test

Issue

3%

Design

Issue 4%

Untestable 3%

No Fault

Found

20%

Application

42%

EOS/ESD

28%

1985-1992

1999-2004

2005-2006

Evolution of Natural Failure Mechanisms

38

Era

Approximate Rate

of Field Returns

(Raw Fallout Returned)

Total Number

of Devices

Analyzed

1985 - 1992 ~ 0.5% 228

1999 – 2004 ~ 0.15% - 0.05%

(500ppm) 6,213

2005 - 2006 ~ 0.05% - 0.01%

(100ppm) 2,941

2007 - 2009 5.4 ppm 3,535

*Raw Returns Results – History & Trend

*Returns are based upon chance and should be used for entertainment only.

39

TriQuint Qualification Requirements

Reliability Methods: (REL.024 & REL.021) – Element Tests, One Wafer Per Stress, 3 Lots.

• 275ºC Bake, 168 hours.

• 500 Temperature Cycles, -40ºC to +125ºC.

• Autoclave, 121ºC, Saturated Steam, 96 hours.

– Lead Product Qualification, 3 Lots, 45 or 77. • Moisture Sensitivity Level Testing.

• 150ºC HighTemperature Operating Life, 1000 hours.

• Environmental: Preconditioning, Temp. Cycles ( 1K -40ºto125ºC). Autoclave (121ºC, 100%RH, 96 hrs). HAST (135ºC, 85%RH, 96 hrs).

• Mechanical/Package: Thermal Shock, Physical Dimensions, Mark Permanency, Lead Integrity, Bond Pull, Bond Shear, Die Shear

• ESD: HBM & CDM.

40

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Quarter

Re

lati

ve

Ab

ilit

y t

o C

au

se

Fa

llo

ut

HAST

Autoclave

High Temp.

Lifetest

IR

Reflow

Temp. Cycle85/85 Preconditioning

IR

Reflow

Temp. Cycle

HAST

Data on 1,109,453

Samples aged.

Sources of Accelerated Failures

Thermal Shock

41

Cap Short

15%

Metal Short

12%

Die Crack

12%

ESD

8%

Design Error

7%

Test Coverage

5%

Inteconnect

Open

5%

Overstress

5%

Assembly Error

5%

Subcomponent

Fails

2%

Delamination

24%

Natural

Accelerated

Comparisons – A snapshot

42

Natural

Accelerated

COMMON

Delamination Cap Short Metal Short

Design Error Interconnect Open

Assembly Error

Bin Mix Corrosion

Die Crack ESD

Test Coverage Overstress Subpart Fails

Analyzing the Snapshot

The larger the data set, the more likely common sets will dominate.

(Since the snapshot, all accelerated mechanisms have shown up naturally)

43

• Customer data is the best we can get, but it’s not perfect

– Lack of returns should not be interpreted as a lack of failures

• Findings are not static, they change over time

• Focus on exclusive mechanisms (both sides)

• Natural is a sanity check on accelerated

• Natural is reactive, but only if you react

• Breaking through the improvement cycle

Value of Investigating Natural FMs

44

Outline

Basics

• A little about Compound Semiconductors

• Vocabulary

• A new era for reliability

• Arrhenius methodology review

Beyond the Basics . . .

• Learning from customers: it’s a Natural

• Breaking the cycle of learning curves

• Tipping your cap

• The Black magic of current density

• Amped up on defects

• The new PC

45

C.I. = Early RF Product Fallout Data

W.Roesch, “Getting to Zero, Methods of Reducing Defects,”

GaAs REL Workshop, pp. 37-46, 2001

1

10

100

1000

10000

100000

99Q1 99Q2 99Q3 99Q4 00Q1 00Q2 00Q3 00Q4 01Q1 01Q2

Fiscal Quarter

De

fec

ts P

er

Milli

on

Customer-Measured Defects (DPM)

Outgoing Sample Defects (DPM)

Volume ramp on MESFET phone receivers.

2 Years

46

Working With a Customer

• We send a million parts.

Fix Process Defect.

Redesign & improve ESD Performance.

Customer finds ESD Source.

Fix Another Process Defect.

Beware of the desk drawer syndrome.

• They return 19.

• We re-test, and 13 pass.

• We perform FA on 6.

• Find 3 process defects.

• Result ~ 3 DPM.

• Corrective Action.

• Start Over.

47

Historical Product/Reliability Cycle

2000 WorkWeek 2008 1

10

100

1000

10000

Defe

cts

P

er

Mill

ion

Integrated

RF Receiver 1st Gen

PA Module

2st Gen

PA Module

Transmit

Module

PA Switch Filter Module

Supplier outgoing quality sample Customer Factory Data

48

Improvement with shrinking node sizes

Intel Quality System Handbook, September, 2008

Months (Period of initial development)

Lo

g

(Die

Yie

ld F

allo

ut)

0.5um (3 Fabs)

0.35um (3 Fabs) 0.25um

(3 Fabs)

130nm (6 Fabs)

180nm (5 Fabs)

90nm (3 Fabs)

49

RF Outrunning

the Bear

50

Outline

Basics

• A little about Compound Semiconductors

• Vocabulary

• A new era for reliability

• Arrhenius methodology review

Beyond the Basics . . .

• Learning from customers: it’s a Natural

• Breaking the cycle of learning curves

• Tipping your cap

• The Black magic of current density

• Amped up on defects

• The new PC

51

0%

5%

10%

15%

20%

25%

30%

35%

40%

ESD Capacitor

Short

Transistor

Anomaly

Cracked

Die

Test

Issue

Open

Flip Chip

Bump

Module

Delam

2006 = 1511 returns analyzed

2007 = 1176 returns w/FA 8,029 PPB 2008 = 1299 returns w/FA 7,401 PPB

2009 = 1060 returns w/FA 3,224 PPB 2010 = 1306 returns w/FA 2,584 PPB

2011 = 784 returns w/FA 1,002 PPB

1373

1179

874

517 499 482 478

19.2%

16.5%

12.3% 7.2% 6.9%

6.7% 6.7%

Overall, 76% of causes represented

Customer Experience Identification of Customer Returns by Individual Cause

Analysis of top seven causes of returns for the past 6 years

Perc

enta

ge o

f FA

retu

rns b

y Y

ear

52

Planarizing dielectric (BCB)

Overlaying Dielectric

Capacitor Dielectric

Capacitor Construction – Sources of Variation

All defects underneath and coincident with the Metal Zero layer

can affect the integrity of the capacitor. These “defects” and

anomalies in the dielectric layer can be considered as a variation

in the dielectric thickness.

Underlying dielectric layers

Capacitor Bottom Plate (Metal 0)

Capacitor Top Plate (MIM Metal)

Plated Gold Interconnect

Metal 1

Via 1

Wafer Substrate

Capacitors

53 1300pF/mm2

Capacitor Test Structures

10K

μm2

5K

μm2

1K

μm2

800K μm2

400K μm2 200K μm2

100Kμm2 50K

μm2

25K

μm2

54

Ord

ere

d C

ap

acito

r D

ata

0

10

20

30

40

50

60

70

80

90

100

110

Voltage Ramp: Destructive Test

Intrinsic capacitor

population

(Good Capacitors)

Extrinsic capacitor

population

(Defect-driven)

25KCap Capacitor Fail Voltage

0 5 10 15 20 25 30 35 40 45 50 55 60

Process Variation

Defect Density

55

Measuring Capacitor Defectivity

6 0 5 4 4 8 4 2 3 6 3 0 2 4 1 8 1 2 6 0

9 9 . 9

9 9

9 5

9 0

8 0

7 0

6 0 5 0 4 0

3 0

2 0

1 0

5

1

0 . 1

Voltage

P e

r c e

n t

2 5 K C a p

1 0 0 K C a p

2 0 0 K C a p

4 0 0 K C a p

S i z e

5 0 K C a p

8 0 0 K C a p

Capacitor Breakdown By Area

56

Example of a Capacitor Short due to a Defect The capacitor is cross-

sectioned at the solid red line

MET0 – Capacitor Bottom Plate

MIM – Top Plate

Defect

The defect is a metal filament lying on top of the capacitor bottom plate

Capacitor

Dielectric

PR

LA BD

GaAs

57

Relative Resolution of Electrical Detection Methods

Full population

characteristics determined

. by ramp-to-breakdown

testing. (Black is unstressed)

This is a 99% defective population!

3-6V Module FT (100%)

20V Die Sort (100%)

Duration

Duration

Module Litmus Sample 20- 80

10-3% LTPD

Wafer Litmus Sample 8- 22

30-10% LTPD

1-12hr

8.5min

Breakdown Voltage (Volts) 500Å Dielectric Cap

Not Detectible by Low Voltage Stress

Not Detectible by Moderate Voltage

Sam

ple

Siz

e R

eso

luti

on

.

Voltage Resolution

58

Outline

Basics

• A little about Compound Semiconductors

• Vocabulary

• A new era for reliability

• Arrhenius methodology review

Beyond the Basics . . .

• Learning from customers: it’s a Natural

• Breaking the cycle of learning curves

• Tipping your cap

• The Black magic of current density

• Amped up on defects

• The new PC

59

Current Induced Acceleration

Time To Fail = J-n

exp[Ea/k(1/Temp)] J = current density, n = current density exponent

Slope = n = J exponent

60

How to get > 1 Million Amps?

Interpreting these conditions

is problematic because the “standard” user environment is not easily predictable . . .

and because the factors of Stress, Current, and Voltage are almost always confounded with Temperature.

60

61

Summary of current density acceleration

factors for various circuit elements.

M0

M1-M2

J Exponent Summary

62

Plated Gold Activation Energy

63

Outline

Basics

• A little about Compound Semiconductors

• Vocabulary

• A new era for reliability

• Arrhenius methodology review

Beyond the Basics . . .

• Learning from customers: it’s a Natural

• Breaking the cycle of learning curves

• Tipping your cap

• The Black magic of current density

• Amped up on defects

• The new PC

64

In Q1 2004,

process

defects

became the

leading

cause of

failure for

field returns

at TriQuint

Oregon.

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

01Q1 01Q2 01Q3 01Q4 02q1 02q2 02q3 02q4 03Q1 03Q2 03Q3 03Q4 04q1 04q2

Pe

rce

nt

of

Fa

ilu

res

An

aly

ze

d

Design or Application Issues

Process Defect

EOS/ESD Test

Issue

No Fault Found (Good)

Yearly Reporting Quarter

Root Causes of Field Returns

65

Non-thermal Acceleration Example

Early Wearout

Time (arbitrary units)

Failu

re R

ate

(a

rbitra

ry u

nits)

Finding Early or Infant Failure

Mechanisms is a challenge for

the Reliability Engineer.

Leakage

Voltage

Spacing

Defects Amp

Defect Amplification

66

Lift-Off Metallization

Emitter, Base, Collector, Ohmic, Gate, NiCr, Metal 0, MIM

66

Sputtered

Evaporated

67

Evaporated Metal Original Sputtered Metal

Original Sputtered Metal

New Sputtered Metal

New Sputtered Metal

Lift-Off Metallization Evolution

Gap

Interdigitated Fingers.

1880um Periphery.

One leakage across.

Comb

Pair of folded traces “meandering”. . .

diagonally, horizontally, & vertically.

30mm Periphery.

Leakage between traces.

Resistance of each trace.

Meander

Gap in solid

rectangle.

1350um

Periphery.

One leakage

across.

68 68

69

How to “amplify” low level defects:

Comb Style Structure.

Unknown?

Testable Electrically: Apply Voltage, Measure Leakage

Quality Concerns

(Always Shorted)

Yield Loss

Reliability

Concerns

(Near Shorts)

70

0

10

20

30

40

50

60

70

80

90

100

Spacing Between Metals ( Approximate 100 nm Units)

Test

Str

uctu

re Q

uality

Level (%

)

Approach

Guardband

Layout

Limit

DEFECT AMPLIFICATION

70

71

Yield as a Function of Spacing

y = 3.4886x + 95.088

R2 = 0.9983

84

86

88

90

92

94

96

98

100

0.5 1 1.5 2 2.5

Space Between Adjacent Metals (micron)

Yie

ld a

t Z

ero

Ag

e (

% p

er

cm

)

1.408 um

72

Site 74, 2.0 um Gap

0.E+00

2.E-06

4.E-06

6.E-06

8.E-06

1.E-05

1.E-05

1.E-05

2.E-05

2.E-05

0 1 2 3 4 5 6 7 8 9 10 11 12

Sweep Voltage (Volts)

Leakag

e C

urr

en

t (A

mp

s)

750 Kohms

2.2M ohms

Site 74, 2.0um Gap Space

0.E+00

5.E-04

1.E-03

2.E-03

2.E-03

3.E-03

0 1 2 3 4 5 6 7 8 9 10 11 12Voltage Sweep (volts)

Leakag

e C

urr

en

t (A

mp

s)

932 ohms

~50K ohms

What

Voltage?

72

73

Looking for Voltage… found acceleration

74

Voltage Acceleration + Physical Amplification

65

70

75

80

85

90

95

100

0 10 20 30 40 50 60 70 80 90 100

Age (Volts)

Te

st

Str

uc

ture

Qu

ali

ty (

% p

er

cm

)

1.2μmGap

1.1μmGap

1μmGap

0.9μmGap

0.8μmGap0.7μmGap

0.6μmGap

75

y = 427901e-6.1166x

R2 = 0.9977

0.1

1

10

100

1000

10000

100000

0.5 1 1.5 2 2.5Space Between Adjacent Metals (microns)

Fallo

ut

per

Ap

plied

Vo

lt (

pp

m.c

m)

Layo

ut

Ru

le

Benefit of “robustness”

Reliability as a Function of Spacing

76

Voltage Aging Effects – Narrow Gap Defect Distribution Vs. Voltage with

3600 second, 2V lifetest inserted

Voltage and time relationships are similar between

capacitors and amplified interconnect.

1 h

r L

ifete

st

0.1

0.2

0.3

0.4

0.5

0.6

1 2 3 4 5 6 7 8 9 10

Voltage (Volts)

Qu

ali

ty L

evel

(%

)

Defect Distribution (with interruption)

2V Lifetest Fallout (12s, 15s, 39s, 50s, 3460s)

Reference Distribution (w/o interruption)

Layout of the 1.0um cell. Each of the 3 overlaps are 25um wide.

Original SCALE Structure

Desire a compact PCM-style

structure to measure liftoff

quality at a single voltage

10K 9K 8K 7K 6K 5K 4K 3K 2K 1K

(Series resistors in Ohms)

(Spacing between interdigitated fingers in Microns)

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

77

78

Scale Sensitivity Over Time (Single V Measurement)

A116505A

A118104A

A119302A

A221401A

A224904A

A228006A

A233702A

A234105A

A301104A

A304003A

A306717A

A313803A

A321505A

A329106A

Run Number

600

800

1000

1200

1400

1600

1800

2000

2200

2400

2600

2800

3000

3200

3400

GA

P_M

0(1316)

L EG END

G AP_ M 0 ( 1 3 1 6 )

M e ta l0 Ba s e line : M e ta l0 Lift-Off Struc ture

2001 2002 2003

78

724 Ω=0.8μ

10.KΩ=0.1μ

4.8KΩ=0.2μ

3.0KΩ=0.3μ

2.1KΩ=0.4μ

1.6KΩ=0.5μ

1.2KΩ=0.6μ

936 Ω=0.7μ

547 Ω=0.9μ

385 Ω=1.0μ

2,671 Reliability Wafers Evaluated

79 79

Applicability of Amplification

●Sampled meter-sized periphery to estimate for centimeters and below.

●Verified layout rules and applicability of periphery amplification.

●Found lower limits of gap amplification, not upper limits. (need more periphery)

●Relationships between Yield & Reliability were demonstrated.

79

80

Outline

Basics

• A little about Compound Semiconductors

• Vocabulary

• A new era for reliability

• Arrhenius methodology review

Beyond the Basics . . . What’s manufacturability got to do with it?

• Learning from customers: it’s a Natural

• Breaking the cycle of learning curves

• Tipping your cap

• The Black magic of current density

• Amped up on defects

• The new PC

81

Finding the “right” stress

• Acceleration Factors known for

Temperature, Voltage, Current.

• Experience from the field does not

match wearout mechanisms.

• Causes of reliability test and field

failures indicate “excursions.”

• Samples: special lot available.

82

Thermal Excursions - Background

• “Special” Lot

• 13,000 samples per wafer

• 14 wafer lot (5 anomalous)

• 200 additional lots screened

(representing 2.6 million)

• >130,500 tested for one mechanism

83

Excursions: Methods - Tests

Test Type JEDEC Range Cycles

1 Infrared Reflow JESD22-A113-B +25ºC to +240ºC <20

2 Thermal Shock JESD22-A106-A Condition D -65ºC to +150ºC <20

3 Thermal Shock JESD26A Condition C-1 -40ºC to +125ºC <100

4 Temperature Cycle JESD22-A104-A Condition G -40ºC to +125ºC <500

5 Thermal Shock JESD22-A106-A Condition B 0ºC to +100ºC <2500

Maximum Minimum Maximum

Test Type Transfer Dwell Time Time to

Time Time Temperature

1 Infrared Reflow ~140 seconds 20 seconds 6 minutes

2 Thermal Shock 10 seconds 2 minutes 5 minutes

3 Thermal Shock 10 seconds 2 minutes 5 minutes

4 Temperature Cycle 1 minute 10 minutes 15 minutes

5 Thermal Shock 10 seconds 2 minutes 5 minutes

84

0

20

40

60

80

100

120

0 0.5 1 1.5 2 2.5 3 3.5

Log Cycles

Perc

en

t F

allo

ut

#2. T/S -65ºC to +150ºC

#3. T/S & #4. T/C -40ºC to +125ºC

#1. IR Reflow +25ºC to +240ºC

#5. T/S 0ºC to +100ºC

T/S = Thermal Shock

T/C = Temperature Cycle

Thermal Excursion Aging Results

Absolute temperature range is significant compared to various rates of change for thermal shock and temperature cycle.

85

Thermal Excursions: Acceleration

1 Solder Reflow =

8 Thermal Shocks

-65ºC to +150ºC

or

144 Cycles

-40ºC to +125ºC

or

4.99 Million Cycles

0ºC to +100ºC

86

Why Excursions Work?

Coefficient of Thermal Expansion.

Gold 14.2 ppm

BCB

42 ppm

86 86

87

Excursions: Building on the Tool

Structures

Rel Mask Sets PCMs

Products PDQs

Stresses

Bake

Autoclave

Temp. Cycle

IR Reflow

HAST

Power Cycle Constraints

Faster

Time to Fail

Idea!

88

Investigation: Via Chains & Power Cycling

Four Via Chain

Arrays. Up to

6,500 links each.

Each Array

Surrounded by

NiCr “heater”

Resistors.

89

Investigation: Preliminary Results

10 100 1,000 10,000 100,000

Heater Power Cycles

Via

Ch

ain

Resis

tan

ce (

oh

ms)

90

Ramp Cycle to Failure Plot (“TDDB” for power cycling)

Ord

ere

d V

ia C

ha

in F

ailu

res

10 100 1,000 10,000

Power Cycles to Failure

91

Thermal Excursions - Summary

1. Log Distribution.

2. Shock = Cycle. (-40ºC to +125ºC)

3. Rate decrease with delta.

4. Solder reflow: most severe stress.

5. Failures are not random.

92

Summary

Basics

• A little about Compound Semiconductors

• Vocabulary

• A new era for reliability

• Arrhenius methodology review

Beyond the Basics . . .

• Learning from customers: it’s a Natural Natural Failure Mechanisms

• Breaking the cycle of learning curves Manufacturability

• Tipping your cap Using Capacitor Voltage Example for FETs

• The Black magic of current density Black’s Equation for HBTs

• Amped up on defects Amplification of Defects with spacing & V

• The new PC Power Cycling is a new acceleration option

93

User Perspective

WEAROUT

MTBF

DISTRIBUTIONS ACCELERATION FACTORS

MECHANISMS

SYSTEM

93

94

Acronym List 2DEG: Two Dimensional Electron Gas

AB: Airbridge

A/C: Autoclave

BCB: Benzocyclobutene, Cyclotene

BD: Base Dielectric

BFET: Interdigitated FET layout approximately 300um Gate

BIR: Building-In Reliability or Built-In Reliability

CS: Compound Semiconductor

CSs: Compound Semiconductors

DFET: Depletion Mode FET

DPM: Defects Per Million

Ea: Activation Energy

EFET: Enhancement Mode FET

ELFR: Early Life Failure Rate

EOS: Electrical OverStress

ESD: ElectroStatic Discharge

FET: Field Effect Transistor (MESFET or pHEMT)

FIB: Focused Ion Beam

GaAs: Gallium Arsenide

HAST: Highly Accelerated Stress Test

HBT: Heterojunction Bipolar Transistor

HP: Hair Pin (emitter shape layout for HBTs)

ILD: InterLayer Dielectric

IR: InfraRed or sometimes Infrared Reflow

IRPS: International Reliability Physics Symposium

LA: Liftoff Assist, a layer to aid liftoff patterning

M1: Metal One, first layer global interconnect, plated-up Gold

M2: Metal Two, Second layer global interconnect, plated-up Gold

MESFET: MEtal Semiconductor Field Effect Transistor

M0 or MET0: Metal Zero, the local interconnect liftoff layer

MIM: Metal Insulator Metal capacitor, top plate liftoff metal of capacitors

MMIC: Monolithic Microwave Integrated Circuit

MTBF: Median Time Between Failures

NiCr: Nickel Chromium thin film resistor

P/C: Preconditioning

PECVD: Plasma Enhanced Chemical Vapor Deposition

pHEMT: pseudomorphic High Electron Mobility Transistor

PR: PhotoResist

PIN: Diode with an intrinsic region.

PPM: Parts Per Million

RF: Radio Frequency

RH: Relative Humidity

REDC: Recombination Enhanced Defect Reaction

ROCS: Reliability Of Compound Semiconductors Workshop.

Formerly known as the GaAs REL Workshop from 1985-2003.

SBC: Standard Bipolar Cell

SEM: Scanning Electron Microscope

SixNix: Silicon Nitride

SIP: System In Package (module)

SOC: System On Chip (integrated solution)

STEM: Scanning Transmission Electron Microscope

SPC: Statistical Process Control

Svia: Substrate via, interconnect through the wafer

T/C: Temperature Cycle

TDDB: Time Dependent Dielectric Breakdown

TFR: Thin Film Resistor

TQS: TriQuint Semiconductor

WLR: Wafer Level Reliability

WSR: Wafer Scale Reliability

General References Implied Throughout W. Roesch and D. Stunkard, “Proving GaAs Reliability with IC Element Testing,”

US Conference on GaAs Manufacturing Technology, pp. 91-95, 1988.

W. Roesch, T. Rubalcava, and C. Hanson, “Lifetesting GaAs MMICs Under RF Stimulus,” IEEE Transactions on Microwave Theory and Techniques, Vol.40, No. 12, pp. 2452-2460, December 1992.

W. Roesch, R. Winters, T. Rubalcava, and B Ingle, “Humidity Resistance of GaAs ICs,” IEEE GaAs IC Symposium, pp.251-254, 1994.

T. Henderson, “A Physics-Based Model for Excess Leakage Current in GaAs/AlGaAs HBTs After Bias Stress,” GaAs REL Workshop, pp.2-10, 1999.

W. Roesch, “Thermal Excursion Accelerating Factors,” GaAs REL Workshop, pp.119-126, 1999.

W. Roesch, “Reliability Basics,” International Conference on Compound Semiconductor Manufacturing Technology Workshop, pp.1-60, 1999.

W. Roesch, “Assessing Circuit Hermeticity by Electrolysis,” GaAs Mantech Conference, pp.121-124, 2000.

A. Poe, S. Brockett, and T. Rubalcava, “Failure Analysis of CDM ESD Damage in a GaAs RFIC,” International Symposium for Testing and Failure Analysis, Bellevue, WA, November 2000.

W. Roesch, Volume & Quality Impacts on Reliability: A New Game for GaAs, GaAs IC Reliability Workshop, pp. 137-146, 2000

W. Roesch, Volume Impacts on GaAs Reliability Improvements,” Microelectronics Reliability,” Volume 41, Number 8, pgs 1123-1127, August 2001.

W. Roesch, “Getting to Zero – Methods of Reducing Defects,” GaAs IC Reliability Workshop, pp. 37-46, 2001

W. Roesch, “Benchmarking Reliability Tests for Plastic Laminate Modules,” GaAs IC Reliability Workshop, pp. 69-78, 2002

W. Roesch, “Investigating Thermal Excursion Failure Mechanisms for Flip Chip,” GaAs IC Reliability Workshop, pp. 107-116, 2003

W. Roesch and D. Hamada, “Studying Yield and Reliability Relationships for Metal Defects,” ROCS Workshop, pp. 121-133, 2004.

W. Roesch, “MMIC Manufacturing & Packaging Reliability Issues,” IRPS Tutorial #232, pp.232.1-232.36, 2004

W. Roesch, “Outstanding Issues in Compound Semiconductor Reliability, International Conference on Compound Semiconductor Manufacturing Technology, pp.49-52 , 2005.

W. Roesch, “Reliability Of Compound Semiconductor Workshop Historical Review,” ROCS Workshop, pp. 1-16, 2005.

W. Roesch, “Compound Semiconductor Activation Energy in Humidity,” Microelectronics Reliability,” Volume 46, pgs 1238-1246, May 2006.

W. Roesch, “Reliability: Beyond the Basics,” International Conference on Compound Semiconductor Manufacturing Technology Workshop, pp.1-60, 2006.

W. Roesch & S. Brockett, “Field returns, a source of natural failure mechanisms,” Microelectronics Reliability,” Volume 47, pgs 1156-1165, March 2007.

D. Hamada & W. Roesch, “Wafer-Level Accelerated Lifetesting of Individual Devices,” ROCS Workshop, pp.21-30, 2007

W. Roesch and D. Hamada, “Measuring Liftoff Quality and Reliability with Special Test Structures,” International Conference on Compound Semiconductor Manufacturing Technology Workshop, pp.199-202, 2008.

W. Roesch, “RF Product Reliability,” IRPS Tutorial #133, pp.133.1-133.41, 2008 95