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Multi-physics SEE modeling with MUSCA SEP 3 RADPRED2010 1st workshop 14-15 January Toulouse

Multi-physics SEE modeling with MUSCA SEP · Multi-physics SEE modeling with MUSCA SEP 3 RADPRED2010 1st workshop 14-15 January Toulouse. Outline ... Example : the ICARE equipment

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Multi-physics SEE modeling

with MUSCA SEP3

RADPRED2010 1st workshop 14-15 January Toulouse

Outline

• Physical bases of MUSCA SEP3

� Global approach, sequential modeling� Levels description

• Operational rate calculations� Operational calculation� Emerging effects� Anomaly expertise

• Synthesis and perspective

RADPRED2010 1st workshop 14-15 January Toulouse

Introduction

→→→→ MUSCA SEP3

� Pragmatic & global approach based on physical mechanisms & sequential modeling

Why developing a new SEE predictive method ?� Operational rate: SEE sensitivity of the device considered in its material, radiation and operational environments� SEE anomaly analysis and dynamic operational rate

→ “space weather” problematic and forecasting rate� New and relevant methodologies for modern devices

� To investigate the rate trends induced by technological roadmap� To prevent the emerging effects

RADPRED2010 1st workshop 14-15 January Toulouse

Outline: physical bases of MUSCA SEP3

• Physical bases of MUSCA SEP3

� Global approach, sequential modeling� Levels description

• Operational rate calculations� Operational calculation� Emerging effects� Anomaly expertise

• Synthesis and perspective

RADPRED2010 1st workshop 14-15 January Toulouse

Global approach, sequential modeling

Environment

Transport in materials

Interaction in device,e/h generations

e/h transport in SC, collection mechanisms

Circuit effects

SEE sensitivity modeling

Monte-Carlo simulation of radiation events

Electron hole pairs generationTransport carriers and charge collectionCircuit effect

Device and material environment (structure, shielding, package)

System modeling

σσσσ, SER Post processing

RADPRED2010 1st workshop 14-15 January Toulouse

Layer 1: system modeling

Example : 6T SRAM bulk

Translation and symmetry rules

Elementary cell topology Memory (several Mbits)

Full description of the device on its material environment

Structure, shielding and package

Passivation-Metallization

S.C

Wafer

RADPRED2010 1st workshop 14-15 January Toulouse

Layer 2: environment modeling

Cosmic, radiation belt, sporadic event (solar flare), neutron

Neutron (fast and thermal), proton, muons, pions

alpha emitter contamination

Heavy ion, proton, neutron, pion …

Space environment Atmospheric and ground environment

Intrinsic environment

Accelerated (test)environments

Need to model:

Radiationfield

� Isotropic, unidirectional or anisotropic� Ion species, proton, neutron� Mono-energetic or spectrum� Dynamic: sporadic events (solar flare)

RADPRED2010 1st workshop 14-15 January Toulouse

Layer 3 & 4: interaction, transport and e/h generati on

GEANT4 SRIM −+−+−+−+−

+−+−

Particle/system interactions:� Energy loss during transport in structure, shielding and package� Secondary ions induced by nuclear reaction in S.C.� Energy loss in semiconductor by coulombic interaction

−+−+−+−+−

+−+−

+−−

++−−+−+

Radiationfield

Secondary ions induced by a nuclear interaction

Energy loss in matter, e/h pairs created in S.C.

Coulombic database:ion (1 → 92) in Si, Cu, Al, O, Si02, W, Ta (...)

Nuclear databases:Neutron - proton with Si, O, Cu and W (1MeV to 2 GeV)∑

ion

v A, Z,E,r

N Nucl. reac. E, range, LET

RADPRED2010 1st workshop 14-15 January Toulouse

Layer 4: carrier generation in semiconductor

Objective of this layer: To model and quantify the carrier density deposited in the device (active semiconductor)for a given configuration issued from radiation events

n(x,y,z) : e/h pairs density in active semiconductor

−+

−+−+−+−+−

+−+−

+− +−−+−+

∑ion

v A, Z,E,r

Location in S.C. (MC process)

Database from SRIM Database from GEANT4

Nuclear reaction characteristics (MC process)

Next layers: Environment and transport in materials

+ −− ++ −− ++ −− +

heavy ion

RADPRED2010 1st workshop 14-15 January Toulouse

Layer 5: carrier transport and charge collection (1 /3)

OffOn

Off On

Two ways: transient pulse OR charge collection→ SEE sensitivity model adapted for Monte-Carlo approaches

� Ambipolar and drift diffusions� Potential/impedance variations� Charge injection processes� Parasitic structure activation� …

Physical mechanisms

I(t) or Qcoll

simplified model

I

−+

−+−+−+−+−

+−+−

+− +−−+−+

I(t) or Qcoll

I(t) or Qcoll

I(t) or Qcoll

I(t) or Qcoll

Circuit model (layer 6)

Injection in Spice

TCAD & SPICE

I(t) or Qcoll

Multi-cell and multi collection

RADPRED2010 1st workshop 14-15 January Toulouse

Layer 5: carrier transport and charge collection (2 /3)

Qi

Drain

Qcoll = Σ ηi . Qi

� Ion track: series of local charges Qi along the target� Collection efficiency ηηηη: decreases with the distance to the collected zone

SEU charge model� Classical approach: RPP

� MUSCA SEP3 approach: collection efficiency concept

−+−+−+−+−

+−+−

+−−

++−−+−+

Collected charge by eachsensitive zone→ Multi-collection effects

Qcoll

Qcoll Qcoll

Qcoll

RADPRED2010 1st workshop 14-15 January Toulouse

Layer 5: carrier transport and charge collection (3 /3)

Qi

Drain � Ion track: series of local charges Qi along the target� Spherical ambipolar diffusion � Impact on potential variation� Dynamic properties: D(t) and v(t)

Transient model: ADDICT→ Advanced Dynamic DIffusion-Collection Transient model

)v ,E A, Z,,V ,S,N D(t), v(t),fct(t, (t)I ioniondddrainsubdrain

r=

Ion characteristicsStructure/device characteristics

MUSCA SEP3 ADDICTSEU I(t) model (criteria)SET in digital electronics (SPICE)SET in APS

Dynamic Model

RADPRED2010 1st workshop 14-15 January Toulouse

Layer 6: Circuit effects

Objective of this calculation layer: To propose a simplified model accounting for the impact induced by the circuit level

Vdd Masse

I on

NMOS ON PMOS Off

I coll

Vnoeud 1���� Vnoeud 2����

Diff./Coll

nm

µm

Coupling effect

Multi collection

Injection in Spice

∑=zone collected :i

).state on/off type,n/p( icollcell QCQ

Examples: SRAM cell memory

OffOn

Off OnI(t)

I(t)

I(t)

I(t)

Simplified model

RADPRED2010 1st workshop 14-15 January Toulouse

Outline: operational rate calculations

• Physical bases of MUSCA SEP3

� Global approach, sequential modeling� Levels description

• Operational rate calculations� Operational calculation� Emerging effects� Anomaly expertise� Sporadic event analysis

• Synthesis and perspective

RADPRED2010 1st workshop 14-15 January Toulouse

Operational calculation (1/3)

Example : the ICARE equipment on-board SAC-CHitachi 628512 4T SRAM bulk

1E-10

1E-09

1E-08

1E-07

1E-06

0 20 40 60

LET in MeV.cm²/mg

SE

U c

ross

set

ion

in c

m²/

bit

MUSCA SEP3

Experiment

1E-15

1E-14

1E-13

1E-12

0 50 100

Proton energy in MeV

SE

U c

ross

sec

tion

in c

m²/

bit

MUSCA SEP3

Experiment

Structure analysis Technological analysis SEU ground test results

Low (3 mm)

High (3 cm)4Mbit

Technological SEU sensitivity

model

RADPRED2010 1st workshop 14-15 January Toulouse

Operational calculation (2/3)

Thin (3 mm)

Thick (3 cm) 4Mbit

Technological SEU sensitivity model

In-flight rate (#/dev./day)

SEU /day/dev

SAC-C experiment

MUSCA SEP3

Total 1.1 1.24Heavy ion 0.16 0.19

Proton 0.94 1.05

Good agreement between on-board experiment and MUSCA SEP3 calculations� for both heavy ion and proton contributions !

Example : the ICARE equipment on-board SAC-CHitachi 628512 4T SRAM bulk

RADPRED2010 1st workshop 14-15 January Toulouse

1E-15

1E-14

1E-13

1E-12

0 50 100 150 200

Proton energie (MeV)

Cro

ss s

ectio

n cm

²/bi

t

waferwafer + packagewafer + package + 3mmwafer + package + 3cm

Operational calculations (3/3)

Structure (shileding) and environments characteristics (angular distribution) with protons & a 90nm techno

1E-15

1E-14

1E-13

1E-12

0 50 100 150 200

Proton energy (MeV)

Cro

ss s

ectio

n cm

²/bi

t

no shielding

no uniform shielding

uniform shielding (3cm)

uniform shielding (1cm)

Uni-directional flux Isotropic flux

• Very important impact on threshold • Need to describe the non-uniform structure/shielding• Impact induced by the directional properties (threshold and amplitude)

� Factor of 4 on predicted rates between classical and MUSCA approaches (SAC-C orbit considering resp. w/o and w MBU)

RADPRED2010 1st workshop 14-15 January Toulouse

Operational calculation: emerging effect analysis

Direct ionization of proton impacts on SER…. and on the requirements for evaluating the SEU sensitivity

Various material environments

Emerging effect for nanometrictechnologies: the trend

The material environment is the key parameter→ Define the sensitive proton spectrum energy range

1

10

100

Device Dev. + 3mm Dev. + 1cm Dev. + 3cm Dev. + 6cmS

ingl

e E

vent

Rat

e in

SE

U /d

ay/M

bit

AP8-min (nuclear process) + Cosmic

AP8-min (direct ionization process)

Total SER

88% to total SER

58%

Heavy ion

Nuclear proton

Ionizing proton

130nm 25 % 75 % 0 %

90nm 23 % 59 % 18 %

65 nm 1 % 19 % 75 % Classical approach: cosmic + nuclear proton

wafer

Structure/shielding

package

65nm

RADPRED2010 1st workshop 14-15 January Toulouse

1E-17

1E-16

1E-15

1E-14

1E-13

0 200 400 600 800 1000

Proton energy

SE

U c

ross

sec

tion

cm²/b

it

With Plug W

Without Plug W

Operational calculation: anomaly expertise

Example: “hard” devices� Ground tests: heavy ion low SEU sensitivity

→ very low SEU sensitivity to proton

� Operational data: no SEU induced by cosmics but by protons (heavy recoils)

6T SRAM SOI - Qcrit = 100 fC

High energy proton test

requirements !!!

Needs for describing the “system-device” with multi material approach

RADPRED2010 1st workshop 14-15 January Toulouse

Outline: synthesis and perspective

• Physical bases of MUSCA SEP3

� Global approach, sequential modeling� Levels description

• Operational rate calculations� Operational calculation� Emerging effects� Anomaly expertise

• Synthesis and perspective

RADPRED2010 1st workshop 14-15 January Toulouse

Synthesis

Needs for taking into account• An adapted and realistic environment model

� Isotropic/mono-directional, spectrum/mono-energy

� Dynamic and/or static,

• A 3-dimentional structure and device description� Shielding, structure and device (uniform and non uniform)

� Multi-material (Si, SiO2, W, Cu, Al …)

• Nuclear and coulombic interactions� Do not forget the new problematics! (ex: direct ionization of proton)

• Adapted SEE sensitivity models� Specific for each effect and/or device type

� Dynamic and/or static effect

� Thermal effect

• Circuit effect model

RADPRED2010 1st workshop 14-15 January Toulouse

Perspective: post processing and effect calculation s

VHDL⇒

Research activities

Charge or I(t) histogram

Post processing

System modeling

Able to investigate:► Operational conditions► Ground conditions

Output databases

Environment

SER

B Env.cal.

A Env.exp. σσ ⇒

Transport in materials

Interaction in device,e/h generations

e/h transport in SC, collection mechanisms

MUSCA SEP3

SEE sensitivity model from ground test

Proton

Neutron

Heavy ion14 8 2 5 818 6 3 2 962 3 963 8 9 2628363256 325693256 9832561482581863 2962396389 2 6 2 836 3 2 5632 56932 5698 32561 4825 8186329623 96389 2628 36 32563 25 6932 569 83 25 61482 5818632962396 3892628363256325 693 25 69 83 2514 825 8186 3 62396 389 26 2 3632 56 32 5 69 32 61 482581 863 96 2396 389 262 83632563 25 69 32 569 832 561 482 581 8632 962396 3892628 36325 632 69 32 5 69 83 56 14825 818 6329623 96 8926 28 3256 32 56 9 32 5

Multi-physic model

Static and dynamic

SPICE⇒

SEEσ

RADPRED2010 1st worshop 14-15 January Toulouse