Silicon Detector Laboratory - Ionizing Radiation Effects on...

72
Ionizing Radiation Effects on Advanced CMOS Technologies Simone Gerardin [email protected] htt // td i i d it http://rreact.dei.unipd.it Reliability and Radiation Effects on Advanced CMOS Technologies

Transcript of Silicon Detector Laboratory - Ionizing Radiation Effects on...

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Ionizing Radiation Effects on Advanced CMOS Technologies

Simone [email protected]

htt // t d i i d ithttp://rreact.dei.unipd.it

Reliability and Radiation Effects on Advanced CMOS Technologies

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Theme

What is the impact of CMOS technologyWhat is the impact of CMOS technology evolution on the radiation sensitivity of modern digital integrated circuits?digital integrated circuits?

As we explore this issue we will investigate inAs we explore this issue, we will investigate in more details the basic mechanisms underlying the radiation response of CMOS circuits

S. Gerardin, Legnaro 23/4/2009 2

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CMOS S li

Outline

CMOS ScalingFeature SizeNe Materials and Architect resNew Materials and ArchitecturesFrequency

Total Ionizing DoseTotal Ionizing DoseBasic MechanismsImpact of ScalingImpact of ScalingNew Phenomena

Single Event EffectsgSingle Event UpsetsSingle Event Transients

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The MOSFET

How to make it faster?faster?Until early 2000’s

Scaling!Scaling!Afterwards

Scaling and…Scaling and…New materialsNew device architectures

Intel 4004 featuring 10-μm MOSFETs

S. Gerardin, Legnaro 23/4/2009 4

www.intel.com/museum

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The MOSFET

How to make it faster?faster?Until early 2000’s

Scaling!Scaling!Afterwards

Scaling and…Scaling and…New materialsNew device Core 2 Duo transistorarchitectures

M Bohr ISSCC 2009

Core 2 Duo transistorIntel 45-nm node, featuring strained silicon, high-k gate oxide, and metal gate

S. Gerardin, Legnaro 23/4/2009 5

M. Bohr, ISSCC 2009

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Classic Scaling

Parameter Scaling FactorFeature Size tox, L, W 1/kDoping kVoltage 1/kCurrent 1/kCurrent 1/kCapacitance 1/kDelay Time 1/kP Di i i 1/k2Power Dissipation 1/k2

Power Density 1

Scaling of operating voltage has actually been slower than feature size reduction

S. Gerardin, Legnaro 23/4/2009 6

feature size reduction

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Moore’s Law

Exponential decrease of the feature size with time

Exponential increase in transistor count

M. Bohr, ISSCC 2009

count

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Materials

TransistorsTransistorsHigh-k gate oxide ⇒

• ↑ channel control • ↓ leakage

Strained Silicon ⇒• ↑ drive current

Silicides ↓ i i t• ↓ series resistance

Back-endLow k inter metal layersLow-k inter-metal layers

• ↓ stray capacitanceCopper vs Aluminum

S. Gerardin, Legnaro 23/4/2009 8

Copper vs Aluminum• ↓ series resistance

www.intel.com/research

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Materials < 1990s

H He

Li Be B C N O F Ne

Na Mg Al Si P S Cl Ar

K Ca Sc Ti V Cr Mn Fe Co Ni Cu Zn Ga Ge As Se Br Kr

Rb Sr Y Zr Nb Mo Tc Ru Rh Pd Ag Cd In Sn Sb Te I Xe

Cs Ba La Hf Ta W Re Os Ir Pt Au Hg Tl Pb Bi Po At Rng

Fr Ra Ac Rf Db Sg Bh Hs Mt Ds

Ce Pr Nd Pm Sm Eu Gd Tb Dy Ho Er Tm Yb Lu

Th Pa U Np Pu Am Cm Bk Cf Es Fm Md No Lr

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CMOS Materials > 1990s

H He

Li Be B C N O F Ne

Na Mg Al Si P S Cl Ar

K Ca Sc Ti V Cr Mn Fe Co Ni Cu Zn Ga Ge As Se Br Kr

Rb Sr Y Zr Nb Mo Tc Ru Rh Pd Ag Cd In Sn Sb Te I Xe

Cs Ba La Hf Ta W Re Os Ir Pt Au Hg Tl Pb Bi Po At Rng

Fr Ra Ac Rf Db Sg Bh Hs Mt Ds

Ce Pr Nd Pm Sm Eu Gd Tb Dy Ho Er Tm Yb Lu

Th Pa U Np Pu Am Cm Bk Cf Es Fm Md No Lr

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CMOS Materials today

H He

Li Be B C N O F Ne

Na Mg Al Si P S Cl Ar

K Ca Sc Ti V Cr Mn Fe Co Ni Cu Zn Ga Ge As Se Br Kr

Rb Sr Y Zr Nb Mo Tc Ru Rh Pd Ag Cd In Sn Sb Te I Xe

Cs Ba La Hf Ta W Re Os Ir Pt Au Hg Tl Pb Bi Po At Rng

Fr Ra Ac Rf Db Sg Bh Hs Mt Ds

Ce Pr Nd Pm Sm Eu Gd Tb Dy Ho Er Tm Yb Lu

Th Pa U Np Pu Am Cm Bk Cf Es Fm Md No Lr

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Device Architecture

Silicon On InsulatorSilicon On Insulator (SOI)

Partially DepletedPartially DepletedFully DepletedDouble Gate

Gate

FinFETsSeveral Advantages

Drain Source

Reduced CapacitanceImproved Electrostatics

B tt Sh t Ch l

Substrate

⇒ Better Short Channel Effects

S. Gerardin, Legnaro 23/4/2009 12

Bulk MOSFET

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Device Architecture

Silicon On InsulatorSilicon On Insulator (SOI)

Partially DepletedGate

Partially DepletedFully DepletedDouble Gate

Drain Source

Buried OxideFinFETs

Several Advantages

SubstrateReduced CapacitanceImproved Electrostatics

B tt Sh t Ch l

Partially Depleted SOI MOSFET

⇒ Better Short Channel Effects

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Partially Depleted SOI MOSFET

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Device Architecture

Silicon On InsulatorSilicon On Insulator (SOI)

Partially DepletedGate

Drain Source

Partially DepletedFully DepletedDouble Gate

Buried OxideFinFETs

Several Advantages

SubstrateReduced CapacitanceImproved Electrostatics

B tt Sh t Ch l

Fully Depleted SOI MOSFET

⇒ Better Short Channel Effects

S. Gerardin, Legnaro 23/4/2009 14

Fully Depleted SOI MOSFET

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Device Architecture

Silicon On InsulatorSilicon On Insulator (SOI)

Partially DepletedGate1

Drain Source

Partially DepletedFully DepletedDouble Gate

Gate2FinFETs

Several Advantages

SubstrateReduced CapacitanceImproved Electrostatics

B tt Sh t Ch l

Double Gate SOI MOSFET

⇒ Better Short Channel Effects

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Double Gate SOI MOSFET

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Device Architecture

Silicon On Insulator

WFIN

Silicon On Insulator (SOI)

Partially Depleted

L GATE

D L GATE

D L GATE

D L Gate

Drain Partially DepletedFully DepletedDouble Gate

HFIN

GateS S

(100)

(110)

S

Source

(100)

(110)

FinFETsSeveral Advantages

Oxide

BOX BOX BOX

Source

Buried Oxide

Reduced CapacitanceImproved Electrostatics

B tt Sh t Ch l

FinFET

⇒ Better Short Channel Effects

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Frequency and Parallelism

Until a few years ago, increasing g , gfrequency was the focusN d tNow, due to power dissipation constraints, parallelism (multi-core CPU) has become the majorbecome the major front

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Total Ionizing Dose

Parametric shifts in transistors parameters dueParametric shifts in transistors parameters due to the build-up of trapped positive charge and interface states caused by several low-LETinterface states caused by several low LET particles striking a chip

Total Ionizing Dose affects dielectric layers (e.g., gate oxide, isolation oxides)

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Basic Mechanisms – Part 1

Radiation strikes generating e-h pairsRadiation strikes generating e-h pairsA large part of the e-h pairs recombineSurviving electrons are quickly swept out of the oxide

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g q y pSurviving holes slowly transport in the opposite direction

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Basic Mechanisms – Part 2

Holes hop through shallow defects and release HydrogenHoles get trapped close to the interfaceH d t i t f t

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Hydrogen generates interface traps

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Charge Yield

A large part of the initial e-h pairs recombinerecombine immediately after generation

↑Electric field ↑⇒Charge Yield ↑LET ↑⇒ ChargeLET ↑⇒ Charge Yield ↓

F. B. McLean, et al., Tech. Rep. HDL-TR-2129, 1987.

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M. R. Shaneyfelt, et al., IEEE Trans. Nucl. Sci., Dec. 1991.

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Hole Trapping vs Field

Cross section of oxide traps depends on the electric fieldon the electric fieldWorst-case bias conditions depend on charge yield and oxide-trap dependence on pelectric field

M. R. Shaneyfelt, et al., IEEE Trans. Nucl. Sci., 1990

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y

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Interface States vs Time

Interface trap pgeneration occurs over time, after radiation exposureradiation exposure, due to holes and Hydrogen transport t th i t fto the interfaceBias conditions play a fundamental rolea fundamental role

M R Shaneyfelt et al IEEE Trans Nucl Sci 1992

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M. R. Shaneyfelt, et al., IEEE Trans. Nucl. Sci., 1992.

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Interface-States vs Dose Rate

No true dose-rate dependenceGiven equal time from the irradiationfrom the irradiation, the same amount of interface state and t d h illtrapped charge will occur, regardless of dose rate

D M Fleetwood et al IEEE Trans Nucl 1988

S. Gerardin, Legnaro 23/4/2009 24

D. M. Fleetwood, et al., IEEE Trans. Nucl.1988.

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Hole Trapping vs Time

T d hTrapped charge changes over time

No dose-rate effects

D. M. Fleetwood, et al., IEEE Trans. Nucl.1988.

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Annealing Mechanisms

Neutralization of t d h ltrapped holes due

Tunneling Thermal Emission

Annealing ofAnnealing of interface traps does not occur

P. J. McWhorter, et al., IEEE Trans. Nucl. Sci., 1990.

does o occuat room temperature

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Oxide Thickness Scaling

Si l d l f h i d dSimple model for charge trapping dependence on oxide thickness:

ΔVt = Qot/Cox = k ⋅ tox2

The thinner the oxide, the smaller the degradation

Actually, things go even better for ultra-thin oxides (< 10 nm)…

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Oxide Thickness

Rapidly decreasing charge trapping andSaks and Ancona, 1986

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Rapidly decreasing charge trapping and interface state formation in ultra-thin oxides

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Gate Leakage Current

100

10-21.2 nm

1 5

Fowler-Nordheim

2 ]

10

10-4

1.5 nm

1.8 nm2.1 nm 2 8 4.0 nm

tunnelingDirect tunneling

J g[A

/cm

2

10-6

10 8

2.8 nm

3.5 nm

tunnelingLeakage is a limit to

10-8

10-105.2 nm

scaling

10-12

0 1 2 3 4 5 6D.J. Frank et al., Proc. IEEE, 2001

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Vg [V]

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Fowler-Nordheim Tunneling

φ

Electron tunneling through a triangular barrier

2 expFN oxBJ A EE

⎛ ⎞= ⋅ ⋅ −⎜ ⎟⎝ ⎠Cathode

φS

oxE⎝ ⎠SiO2 Anode

3

2

oq mA ⋅=

324 2 ox SmB φ⋅ ⋅ ⋅

=216 ox Smπ φ⋅⋅ ⋅h 3 q⋅ ⋅h

S. Gerardin, Legnaro 23/4/2009 30

R. Fowler and L. Nordheim, Proc. Roy. Soc. A, 1928

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Direct Tunneling

Electron tunneling through a trapezoidal barrier

324 2

3ox SmBqφ⋅ ⋅ ⋅

=⋅ ⋅h

Cathode

φS

3

216o

ox S

q mAmπ φ⋅

⋅=

⋅ ⋅h

SiO2

Cathode

Anode

( )33

2 22

2 32

expS S ox oxox

Dox SS

q E tA E BJEq E t

φ φ

φφ

⎡ ⎤− − ⋅ ⋅⋅ ⎢ ⎥= ⋅ − ⋅⎢ ⎥⎛ ⎞⋅ ⋅ ⎣ ⎦1

SS ox ox

S

q E t φφφ

⎢ ⎥⎛ ⎞− ⋅ ⋅ ⎣ ⎦−⎜ ⎟⎝ ⎠

S. Gerardin, Legnaro 23/4/2009 31

Wentzel-Kramers-Brillouin (WKB) approximation

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Radiation Induced Leakage Current

10-4

58-MeV e, tox=6nm • When tox<7 nm

i di ti i d

²)

10-5

10-650

Dose (Mrad(Si))

irradiation induces leakage current at low fields

J g(A

/cm

²

10-7

10-8 4

50• Radiation Induced

Leakage Current (RILC)J

10-9

10-10

fresh(RILC)

• True DC conduction2 3 4 5 6 7 8

Eox (MV/cm)

10• Not depending on

radiation LET

S. Gerardin, Legnaro 23/4/2009 32

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Model

Radiation induced defects: electron neutral traps

C

φ

Conduction mechanism: inelastic electron Trap Assisted Tunneling (TAT)

ΔUModeled by WKB or other methods

O id fi ld d d ttox

Oxide field dependent

Most effective RILC defects at ≈ tox/2at tox/2

Generation mechanism correlated to the trapped

iti h

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positive charge

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Fitting RILC

10-7

8

measured8 MeV electrons

Defectcharacteristics:

10-8

10-9

8 MeV electrons1.3 eV below oxide Ec

D it10

10-10

negative

positive

Density proportional to dose

10-11

positive

i l t d

Independent of radiation

10-12

1 2 3 4 5 |Vgate| (V)

simulated LET (for low LET)

S. Gerardin, Legnaro 23/4/2009 34

L. Larcher et al., IEEE-TNS, 1999

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Floating Gate Memories

El t t d iElectrons stored in the FG

VTH grows(CG)

VTH grows

Writing (Flash):Channel Hot

(FG)

Channel Hot Electron tunnelling

Tunnel Oxide

Erasing (Flash): Fowler-NordheimM i li bilit i Nordheim tunnelling

Main reliability issues:- Endurance (W/R/E cycles)- Data retention

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Long-term Effects

L t il ft

ity

93.4%

99.99%

2x107ions/cm2

Large tails after heavy ions irradiation

e pr

obab

ili

0 67%

4.8%

30.7% 2x10 ions/cmNumber of bits in tail does not d d i

umul

ativ

e0 012%

0.09%

0.67%

Fresh

I depend on ion LET (only on fluence)

3 4 5 6 7 8

Cu

0.002%

0.012% FreshNi Ag fluence)ΔVTH strongly depends on ion 3 4 5 6 7 8

VTH (V)LET

Only hit cells are considered in next experiments

S. Gerardin, Legnaro 23/4/2009 36

Cellere et al, T-NS, 2003, 2004, and APL, 2005

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Long-term Effects

99 99%Only hit FGs were

obab

ility

30.7%93.4%

99.99%After 20 days

programmed

After only ulat

ive

pro

0 09%0.67%4.8%

y30min a clear tail appears… C

umu

0.002%0.012%

0.09%

…which increases

d

3 4 5 6 7 8

VTH (V)After program

After 30 imore and

more with time RILC (R di ti I d d L k C t)

programminCellere et al, T-NS, 2003, 2004, and APL, 2005

S. Gerardin, Legnaro 23/4/2009 37

time RILC (Radiation Induced Leakage Current)

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Long-term Effects

What’s going on?Floating gate(electrons stored)

What’s going on?Ion generates a plasma of electrons and holes

Oxi

de

(electrons stored)

Ion track

electrons and holes

unne

l O holeselectrons

TuSubstrate

Larcher et al T-NS 2003

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Larcher et al, T NS, 2003Cellere et al, T-NS, 2005

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Long-term Effects

What’s going on?Floating gate(electrons stored)

What’s going on?Ion generates a plasma of electrons and holes

Oxi

de

(electrons stored)electrons and holesPrompt columnar recombination

unne

l O holeselectrons

TuSubstrate

Larcher et al T-NS 2003

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Larcher et al, T NS, 2003Cellere et al, T-NS, 2005

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Long-term Effects

What’s going on?Floating gate(electrons stored)

What’s going on?Ion generates a plasma of electrons and holes

Oxi

de

(electrons stored)electrons and holesPrompt columnar recombination

unne

l O holeselectrons

Followed/accompanied by generation of oxide defects

Tu Oxide defects

Substrate

Larcher et al T-NS 2003

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Larcher et al, T NS, 2003Cellere et al, T-NS, 2005

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Long-term Effects

What’s going on?Floating gate(electrons stored)

What’s going on?Ion generates a plasma of electrons and holes

Oxi

de

(electrons stored)electrons and holesPrompt columnar recombination

unne

l O

Electron tunnelingFollowed/accompanied by generation of oxide defects

Oxide defects are used Tu Oxide defectsOxide defects are used by electrons to escape the FG

Substratethe FG

multi-Trap Assisted Tunneling (m-TAT)

Larcher et al T-NS 2003

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Larcher et al, T NS, 2003Cellere et al, T-NS, 2005

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Long-term Effects

How can we evaluate the current along this path?Floating gate( )C id th i t k

Oxi

de

(electrons stored)

Randomly generate a G i di ib i

Consider the ion track

unne

l OGaussian distribution of defects I=ΣIn

TuEvaluate the current through each possible path (phonon assisted) Substrate

σ=8nm

path (phonon-assisted)

Then sum all the t Larcher et al T NS 2003

S. Gerardin, Legnaro 23/4/2009 42

currents Larcher et al, T-NS, 2003Cellere et al, T-NS, 2005, 2006

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Long-term Effects

1818

Symbols average

10-18

10-19

10-20

10-18

10-19

10-20average, experimental dataBars variance IG

(A) 10-21

10-22

10-23I G (A

) 10-21

10-22

10-23Bars variance (spread) of experimental data Experimental

Si l t d

10 23

10-24

10-25 ExperimentalSi l t d

10 23

10-24

10-25

Lines calculations FOX (MV/cm)

Simulated0.8 1 1.2 1.4 1.6 1.8

10-26

FOX (MV/cm)

Simulated0.8 1 1.2 1.4 1.6 1.8

10-26

Current as low as 10-24A 1n(fA)

S. Gerardin, Legnaro 23/4/2009 43

Larcher et al, T-NS, 2003

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(Long-term Effects)

O l d ith d l f th FG ll th l kOnce coupled with a model of the FG cell, the leakage model can be used to derive the VTH evolution over time

1

0.1

1

obab

ility

164h

Symbols = exp.Lines = sim.After Iodine

(LET=640.01

ativ

e pr

o1.5h

164h

96h

(LET=64 MeVcm2/mg)irradiation

0 0001

0.001

Cum

ula

0.00014 6 8 10

VTH (V)

S. Gerardin, Legnaro 23/4/2009 44

Cellere et al, T-NS, 2005

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Nitrided Gate Oxides

Wh Ni id d O id ?Why Nitrided Oxides?Improve dielectric constantRed ce leakage c rrentReduce leakage currentPrevent boron penetrationBetter hot carrier reliabilityBetter hot carrier reliability

Radiation HardnessRadiation HardnessSuppression of interface states, Nitrogen layer acts as a barrier for Hydrogen diffusionComparable density of oxide charge-traps in SiON and SiO2

S. Gerardin, Legnaro 23/4/2009 45

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High-k Gate Oxides

R h di tiResearch on radiation effects in high-k oxides far less advanced than in

SiO2

far less advanced than in SiO2

Different Band StructureSmaller bandgap ⇒ less energy for e-h pair generation

HfO2 SiMetalGate generation

Recombination, Charge Yield?P i i d f

Gate

Pre-existing defectsDifferent barriers ⇒different carrier tunneling

S. Gerardin, Legnaro 23/4/2009 46

gprobabilities

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Thick High-k Gate Oxides

Thi k idThicker oxides, a return to charge trapping?trapping?Significant number ofnumber of electron traps in HfO2 in addition to 2 hole trapsMinimal charge trapping for thin HfO2 with buffer SiO l

Gate oxide:1nm SiO2 + 7.5nm HfO2 EOT = 2.3nm

S. Gerardin, Legnaro 23/4/2009 47

SiO2 layerS. K. Dixit, et al., IEEE Trans. Nucl. 2007.

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Thin High-k Gate Oxides

Thi k idThicker oxides, a return to charge trapping?trapping?Significant number ofnumber of electron traps in HfO2 in addition to 2 hole trapsMinimal charge

Gate oxide:1nm SiO2 + 3.0nm HfO2 EOT = 1.5nmtrapping for thin HfO2 with buffer SiO l

S. Gerardin, Legnaro 23/4/2009 48

S. K. Dixit, et al., IEEE Trans. Nucl. 2007 SiO2 layer

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SOI: Partially Depleted Devices

Thi k b i d id

Gate

Thick buried oxide sensitive to radiationA t f hGate

Drain Source

Amount of charge trapping depends on SOI waferDrain Source

Buried Oxide (SiO )

SOI wafer technology (SIMOX vs wafer-bonding)

+++++++++++++++++++++++

Substrate

Buried Oxide (SiO2)g)

Parasitic Source-Drain leakage

Substrate develops in partially depleted devices

S. Gerardin, Legnaro 23/4/2009 49

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SOI: Partially Depleted Devices (2)

J.R. Schwank, et al., IEEE Trans. Nucl. 2008

Threshold voltage shift in the parasitic back gate transistor leads to drain-source leakage

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SOI: Fully Depleted Devices

Thi k b i d id

Gate

Thick buried oxide sensitive to radiationA t f hGate

Drain SourceAmount of charge trapping depends on SOI wafer

Buried Oxide (SiO2)

SOI wafer technology (SIMOX vs wafer-bonding)

+++++++++++++++++++++++

Substrate

g)Coupling with the back gate leads to

Substrate changes in the front gate t i t

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transistor

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SOI: Fully Depleted Devices (2)

J.R. Schwank, et al., IEEE Trans. Nucl. 2003

Coupling means back gate Vth shift leads to changes

S. Gerardin, Legnaro 23/4/2009 52

in front-gate Vth

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Single Event Effects

S h i ff d i l i l hi iStochastic effects due to a single particle hitting the sensitive area of a device

SRAMSi l E t U t (SEU)Single Event Upsets (SEU)Single Bit Upsets (SBU)Multiple Cell Upsets (MCU)Multiple Cell Upsets (MCU)Muliple Bit Upsets (MBU)

Combinational LogicSingle Event Transients (SET)

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g ( )

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Simulated heavy ion e-h track in Si

Fe ions 275 MeVLET=24 MeVcm2/mgLET=24 MeVcm /mg

LET metrics in Si:

1 MeVcm2/mg

6.4.104 e-h pairs/μm

10 fC/

Electron-Hole density (cm-3)

10 fC/μm

S. Gerardin, Legnaro 23/4/2009 54

Electron Hole density (cm )P. Foulliat, EWRHE 2004

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Heavy ion e-h track in Si vs. CMOS minimum size

CMOS generationg

0.35 μm

0 250.25 μm

0.18 μm

0.13 μm

9090 nm

S. Gerardin, Legnaro 23/4/2009 55

32 nm

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SEU vs MBU

Two generations after

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Two generations after…

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Single Bit Upsets, Neutrons

SEU/bit constant or even decreasing!

N. Seifert, et al., IRPS 2008 High-k gate

id

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Area effect wins over reduction in capacitance oxide

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Multiple Bit Upsets, Neutrons

Percentage of Multiple Bit Upsets increases (even

N. Seifert, et al., IRPS 2008

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more for other vendors)

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Multiple Bit Upsets, Neutrons (2)

MCU lMCU cluster size almost independentindependent of technology nodeodeThe number of affected bits grows with each generation

S. Gerardin, Legnaro 23/4/2009 59

N. Seifert, et al., IRPS 2008

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Multiple Bit Upsets, Heavy Ions

Strong dependence on LETN. Seifert, et al., IRPS 2008

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MCU’s dominate at high LET

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SOI & Single Event Upset

R d i f

GateHeavy ion

Reduction of sensitive volume (less chargeGate

Drain Source+-+

(less charge collection)BipolarDrain

(n)Source

(n)-++-+--+

Bipolar amplification may increase sensitivity

Substrate

Buried Oxide (SiO2)y

Bipolar amplification

Substrate important also on bulk devices

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MCU: Bulk vs SOI

MCU i b lkMCUs in some bulk technologies

occur preferentially yalong bitlines (inside p-wells)increase with increasing supply voltage (contrary to SBU)due to bipolar amplification (“battery” effect), i i ll

G. Gasiot, et al., IRPS 2008increase in well potential due to particle strike affects many devices

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many devices

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MCU: Bulk vs SOI

MCU i SOIMCUs in SOI due to geometrical effectseffectsdevices are separate (no common well)

G. Gasiot, et al., IRPS 2008

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Single Event Transients

M l ’ h lMemory elements aren’t the only resource sensitive to ionizing radiation, also combinatorial logic can be affectedlogic can be affected

Single Event Transients (SET) can originate fromSingle Event Transients (SET) can originate from particle strikes in reverse-biased pn junctionsbelonging to the combinatorial part of a circuitbelonging to the combinatorial part of a circuit

SETs can eventually propagate to memorySETs can eventually propagate to memory elements and be latched

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SET: clock frequency

SET

Combinational Logic D QLogic Q

Logical masking can block SET’sClock

The higher the frequency, the larger the probability of catching a transient (temporal masking)

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Electrical masking…

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SET: attenuated propagation

Low LET below

iti l LETcritical LET, attenuated propagationpropagation

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P. Dodd et al., IEEE-TNS 2004

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SET: non-attenuated propagation

High LET above

iti l LETcritical LET, non-attenuatedattenuated propagation

S. Gerardin, Legnaro 23/4/2009 67

P. Dodd et al., IEEE-TNS 2004

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SET: width and scaling

The higher the LET, the l thlonger the pulseC lComplex dependence onon technology

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P. Dodd et al., IEEE-TNS 2004

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SET: critical LET

C iti l LETCritical LET for non-attenuated propagation decreases with featurewith feature sizeSOI lessSOI less sensitivethan bulk CMOS

P Dodd et al IEEE TNS 2004

CMOS (shorter transients)

S. Gerardin, Legnaro 23/4/2009 69

P. Dodd et al., IEEE-TNS 2004 )

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SET vs SEU

SETs are expected to d i t thdominate the radiation sensitivity insensitivity in future technologies, g ,for high performance applications

S. Gerardin, Legnaro 23/4/2009 70

R. Baumann, IEEE-TDMR 2003

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Conclusions

Simple scaling is no longer enough to sustain the pace of Moore’s law, new materials and device architectures have been/will have to be introduced that may affect radiation responseGate oxide sensitivity to TID Effects has improvedthanks to scaling with no major issue from high kthanks to scaling, with no major issue from high-k layers. Isolation oxide may be still a problemRadiation Induced Leakage Current can be an gissue for the reliability of Flash Memories and DRAMsThe presence of the buried oxide in SOI may be detrimental to TID sensitivity but help with SEEdetrimental to TID sensitivity but help with SEEMultiple Cell/Bit Upsets and Single Event Transients are a growing concern for digital circuits

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g g g

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Acknoledgment

M h kMany thanks to :

Alessandro Paccagnella, Padova UniversityGiorgio Cellere, Padova UniversityJim Schwank, SANDIA National LabsAll the referenced authors

For providing useful suggestions and/or part of the material this presentation is based upon

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