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1 Process Control of Lithography and CMP by Innovative Optical Methods 2008 International Workshop on EUV Lithography June 10-12, 2008, Wailea Beach Marriott, Maui, Hawaii, USA Lothar Pfitzner, Andreas Nutsch, Georg Roeder, Andreas Erdmann Fraunhofer IISB, Schottkystrasse 10, 91058 Erlangen, Germany

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Page 1: Process Control of Lithography and CMP by Innovative ...client.blueskybroadcast.com/SPIE/EUV08/content/pdf... · 1 Process Control of Lithography and CMP by Innovative Optical Methods

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Process Control of Lithography and CMP by Innovative Optical Methods

2008 International Workshop on EUV Lithography

June 10-12, 2008, Wailea Beach Marriott, Maui, Hawaii, USA

Lothar Pfitzner, Andreas Nutsch, Georg Roeder, Andreas Erdmann

Fraunhofer IISB, Schottkystrasse 10, 91058 Erlangen, Germany

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• Introduction and Motivation

• Advanced Resist Thickness Control

• Control of Critical Dimensions

• Surface Characterization Using Wave Front Sensing

• Determination of Flatness

• Summary and Conclusions

Content

Process Control of Litho and CMP by Innovative Optical Methods

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Introduction

Flatness on Patterned Wafers

n-well p-well

n

Via

p

ope n

p+

layer thicknesMetal 1

Metal 2

p

Interconnect

n+

polishing pad

backing filmcarrier

polishing Table

wafer

polishing pressureCMP/SSP

slurry

short

substrate

surface flatness requirements = critical dimension of technology generation (ITRS); currently 65-45 nm(!)

Chemical Mechanical Planarization

• maintain the initial surface flatness• patterned wafer (materials- metals,

dielectric) challenge for metrology• > 10 CMP steps during MPU or Logic

manufacturing

Lithography

• EUV requires extreme flat surfaces• Depth of focus ~ CD

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mirror:

- low frequency deviations from specified form produce wave aberrations

- high frequency deviations from specified form produce flare

mask requirements

- global flatness: consequences for focus control

- high frequency components introduce flare

exposed wafer surface

- global flatness: consequences for focus control

Motivation

EUV Imaging System

Optical Components of the EUV Litho Tool

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tilt

In Focus

astigmatism

coma

sherical

Simulated Impact of Aberrations on the Imaging of Contact Hole Arrays

• Example – array of contact holes• Display of different imaging

failures

no aberration

In Focus

DefocusDefocus

Defocus Defocus

Motivation

Simulations were done with Dr.LiTHO:www.drlitho.com

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• Introduction and Motivation

• Advanced Resist Thickness Control

• Control of Critical Dimensions

• Surface Characterization Using Wave Front Sensing

• Determination of Flatness

• Summary and Conclusions

Content

Process Control of Litho and CMP by Innovative Optical Methods

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Advanced litho process control based on proven concepts

Layer thickness

Coating Development

CD & Overlay

Etch

In situ resist thickness

measurement

Endpoint detection during resist development

(CD<45 nm)

Advanced integrated CD, profile, and LER

measurement

Stand-alone measurement

Integrated measurement

time> 2010

Process and Measurement Steps in the Litho-Etch Sequence

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Application of ellipsometer and reflectometer systems with adapted algorithms

Control of Layer Properties and Patterns

Ellipsometer formeasurement on blank and patterned wafers

Alternative: Reflectometer system

Layer thickness, optical properties

Ellipsometry, reflectometry

CD, layer thickness, optical properties

Scatterometry

Regression Regression

Modelling

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In situ spectroscopic reflectometer for fast resist thickness measurements

Control of Coating and Develop by Spectroscopic Reflectometry

Decoupled illumination and spectrometer unit

Compact sensor head for easy integration into track systems

Fast diode array based spectroscopic measurement

With the in situ spectroscopic reflectometer superior evaluation capabilities versus e.g., single- wavelength measurements were obtained (avoidance of diffraction effects)

MotivationFor sub-micron lithography, resist processing emerged as critical process stepOptical in situ metrology for resist thickness measurements and endpoint detection was requiredKey problemAvailability of a robust measurement system SolutionDevelopment of a novel in situ spectroscopic reflectometer system for integration into production track systems

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Control of resist thickness and endpoint detection during resist development

0

10

20

30

40

50

60

0 5 10 15

Spinning time (s)

h/h 0

(%)

3500 rpm6500 rpm9500 rpm

Spinning speedViscous resist flow (planarization)

Drying of solvent

Compensation of process deviations by adjusting the spin speed using an empirical process model

0

2

4

6

8

10

12

14

0 10 20 30 40

Development time (s)Re

flect

ance

(%

)

Endpoint threshold

Endpoint detection during resist development of contact hole structures

Resist thickness control Development endpoint detection

Control of Coating and Develop by Spectroscopic Reflectometry

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• Introduction and Motivation

• Advanced Resist Thickness Control

• Control of Critical Dimensions

• Surface Characterization Using Wave Front Sensing

• Determination of Flatness

• Summary and Conclusions

Content

Process Control of Litho and CMP by Innovative Optical Methods

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Scatterometry techniques for optical CD measurement

Advanced Techniques for Pattern Control

MotivationIn sub-100nm lithography, fast non destructive information and control on structural parameters of resist features is requiredKey problemsAvailability of fast scatterometry techniques for measurement on production wafers and regularly shaped structuresSolutionsDevelopment of the Phi- Scatterometry techniqueDevelopment of the arbitrary angle effective medium approximation (AAEM)

Measurement system for Phi-Scatterometry

Measurement principle applied in Phi-Scatterometry

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Control of patterning processes in a 300 mm DRAM production line

Advanced Techniques for Pattern Control

On-line scatterometry

measurement of current sample

Adaptive neural network

model of diffraction effects

Optional fault classification by

SEM measurements

Process fault detection

by scatterometry measurement

Initial off-line scatterometry and SEM measurements

for basic neural network training

Phi-Scatterometry signature detecting misprocessed

wafers

Well resolved and misprocessed resist patterns of a DRAM cell array structure

Evaluation algorithm for integrated line width control on production wafers applied in Phi-

Scatterometry

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AAEM algorithm for fast scatterometryMotivationFor pattern control, fast scatterometry algorithms are requiredSolutionDevelopment of a scatterometry algorithm based on the Arbitrary Angle Effective Medium approximation (AAEM )

Principle of the arbitrary angle effective medium approximation (AAEM)

Approximation of the structural parameters of a line&space

resist structure applying the AAEM scatterometry algorithm

AAEM algorithm•Approximation of structure as uniaxial crystal using standard algorithms for anisotropic materials •Algebraic formulas for effective indices are valid for any angle of incidence•Easy implementation and adaptation of regression methods•Much faster than RCWA (40x)

Advanced Techniques for Pattern Control

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• Introduction and Motivation

• Advanced Resist Thickness Control

• Control of Critical Dimensions

• Surface Characterization Using Wave Front Sensing

• Determination of Flatness

• Summary and Conclusions

Content

Process Control of Litho and CMP by Innovative Optical Methods

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« reference »wavefront

optical system characterization

wavefrontaberrations

opticalsystem

reflective surface characterization

Reflective surface

« reference »wavefront

wavefrontaberrations

Wavefront = normal surface to light rays

Surface Characterization Using Wave Front Sensing

Principles of wave front sensing

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Wave front = normal surface to light rays

Surface Characterization Using Wave Front Sensing

Detection of wave front aberrations

collimated beam

aberrated wavefront

Microlens array CCD

beam

gene

ratio

nan

d si

gnal

dete

ctio

n

light source

waferstage

camera system

• analysis of patterned wafers possible

• Shack Hartmann - detection of focus shift

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Wave front = normal surface to light rays

Surface Characterization Using Wave Front Sensing

Detection of wave front aberrations

collimated beam

aberrated wavefront

Microlens array CCD

beam

gene

ratio

nan

d si

gnal

dete

ctio

n

light source

waferstage

camera system

• analysis of patterned wafers possible

• Shack Hartmann - detection of focus shift

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• Introduction and Motivation

• Advanced Resist Thickness Control

• Control of Critical Dimensions

• Surface Characterization Using Wave Front Sensing

• Determination of Flatness

• Summary and Conclusions

Content

Process Control of Litho and CMP by Innovative Optical Methods

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Definitions for wafer geometry

Determination of Flatness

Spatial Wave Length [mm]

Am

plitu

de [

µm]

2 nm 80 µm 20 mm0.5 mm 6 mm 30 mm 15 mm 50 mm 50 mm 150 mm

[A -nm][0- 50 nm]

AFM wave front sensing on pattern wafer

roughness nano topography

flatness TIR sori/warp bow

[-35 to 35 µm][0-40 µm]

[0-3 µm][0-100 nm]

300 mm

Interferometry on bare wafercapacative distance measurement

300 mm wafer

spot measurement

local wafer geometryintegrated metrology

spot measurement for in-line control and filtering of data

global wafer geometrystand alone tools for

inspection

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21

0 20 40 60 80 100 120-30

-25

-20

-15

-10

-5

0

5

10 B Polynomielles Fitten von Data7_B

heig

ht [µ

m]

X [mm]

polynomial description of global wafer geometry

First orders : tilt, bow, warp…

Higher orders : TIR Flatness

...44

33

2210 +⋅+⋅+⋅+⋅+= xaxaxaxaay

Cross Section Analysis

Determination of Flatness

Methods for calculation of flatness

Sharp cut off

Double Gaussian Filtering(2D High-pass filter)

λc : cut off

⎟⎟

⎜⎜

⎟⎟⎠

⎞⎜⎜⎝

⋅+

⋅−−⎟⎟

⎜⎜

⎟⎟⎠

⎞⎜⎜⎝

⋅+

−⋅=222222

2expexp2),(c

yx

c

yxyx

ttttttF

λαπ

λαπ

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22

0 20 40 60 80 100 120-30

-25

-20

-15

-10

-5

0

5

10 B Polynomielles Fitten von Data7_B

heig

ht [µ

m]

X [mm]0 20 40 60 80 100 120

-0,0005

-0,0004

-0,0003

-0,0002

-0,0001

0,0000

0,0001

0,0002

0,0003

0,0004

0,0005

heig

ht [m

m]

X [mm]

polynomial description of global wafer geometry

First orders : tilt, bow, warp…

Higher orders : TIR Flatness

...44

33

2210 +⋅+⋅+⋅+⋅+= xaxaxaxaay

Cross Section Analysis

Determination of Flatness

Methods for calculation of flatness

Sharp cut off

Double Gaussian Filtering(2D High-pass filter)

λc : cut off

⎟⎟

⎜⎜

⎟⎟⎠

⎞⎜⎜⎝

⋅+

⋅−−⎟⎟

⎜⎜

⎟⎟⎠

⎞⎜⎜⎝

⋅+

−⋅=222222

2expexp2),(c

yx

c

yxyx

ttttttF

λαπ

λαπ

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23

0 20 40 60 80 100 120-30

-25

-20

-15

-10

-5

0

5

10 B Polynomielles Fitten von Data7_B

heig

ht [µ

m]

X [mm]0 20 40 60 80 100 120

-0,0005

-0,0004

-0,0003

-0,0002

-0,0001

0,0000

0,0001

0,0002

0,0003

0,0004

0,0005

heig

ht [m

m]

X [mm]

polynomial description of global wafer geometry

First orders : tilt, bow, warp…

Higher orders : TIR Flatness

...44

33

2210 +⋅+⋅+⋅+⋅+= xaxaxaxaay

Cross Section Analysis

Determination of Flatness

Methods for calculation of flatness

Sharp cut off

Double Gaussian Filtering(2D High-pass filter)

λc : cut off

⎟⎟

⎜⎜

⎟⎟⎠

⎞⎜⎜⎝

⋅+

⋅−−⎟⎟

⎜⎜

⎟⎟⎠

⎞⎜⎜⎝

⋅+

−⋅=222222

2expexp2),(c

yx

c

yxyx

ttttttF

λαπ

λαπ

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24

0 20 40 60 80 100 120-30

-25

-20

-15

-10

-5

0

5

10 B Polynomielles Fitten von Data7_B

heig

ht [µ

m]

X [mm]0 20 40 60 80 100 120

-0,0005

-0,0004

-0,0003

-0,0002

-0,0001

0,0000

0,0001

0,0002

0,0003

0,0004

0,0005

heig

ht [m

m]

X [mm]

polynomial description of global wafer geometry

First orders : tilt, bow, warp…

Higher orders : TIR Flatness

...44

33

2210 +⋅+⋅+⋅+⋅+= xaxaxaxaay

Cross Section Analysis

Determination of Flatness

Methods for calculation of flatness

Sharp cut off

Double Gaussian Filtering(2D High-pass filter)

λc : cut off

⎟⎟

⎜⎜

⎟⎟⎠

⎞⎜⎜⎝

⋅+

⋅−−⎟⎟

⎜⎜

⎟⎟⎠

⎞⎜⎜⎝

⋅+

−⋅=222222

2expexp2),(c

yx

c

yxyx

ttttttF

λαπ

λαπ

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25

Bare WaferSTI

Patterned WaferInterconnect

Patterned Wafer

Non-destructive real-time measurement

Results and Discussion

Measurements on patterned wafers: e-XploreTM

Height [µm]

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Results and Discussion

Nanotopography

• Local data correction for the missing data in the measurement of the interconnect (local 5*5 average matrix operation)

• Spatial Filtering of Data using double Gaussian filter with a cut–off of 18 mm

• Differences in the substrates

• Height resolution < 15 nm

DG Filter

-0,10

-0,05

0,00

0,05

0,10

0 10 20 30 40 50 60x[mm]

heig

ht [µ

m]

bareInterconnectSTI

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• Introduction and Motivation

• Advanced Resist Thickness Control

• Control of Critical Dimensions

• Surface Characterization Using Wave Front Sensing

• Determination of Flatness

• Summary and Conclusions

Content

Process Control of Litho and CMP by Innovative Optical Methods

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Summary and Conclusions

• Improvements in resist thickness control by in situ metrology

• Development of the Phi-Scatterometry technique

• Development of the Arbitrary Angle Effective Medium approximation (AAEM)

• Demonstration of feasibility of wave front sensing on patterned wafer surfaces

• Further developments: - Scatterometry for 32nm and 22nm/EUV

lithography- Integratable flatness and nanotopography

control

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Acknowledgement

• European Commission for funding within NanoCMOS contract No. 0507587, PULLNANO contract No. IST-026 828 and SEA- NET contract No. IST-027982.

• Thanks to all contributing partners within NanoCMOS project, PULLNANO project, ANNA project and SEA-NET project

• Thanks to the co-authors A. Nutsch, G. Roeder, A. Erdmann, all from Fraunhofer-IISB, Erlangen

Links

• www.iisb.fraunhofer.de www.fraunhofer.de• www.pullnano.eu www.anna-i3.org• www.sea-net.info www.drlitho.com• www.cordis.lu www.ims.org

Acknowledgement & Links