General/CD Uniformity Overview
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Transcript General/CD Uniformity Overview
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CD Uniformity Overview
Origin:
Terrence E. Zavecz
[email protected]
ITRS Lithography Roadmap “A” (2005)
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ITRS 2005 Methods B Lithography
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Technology Requirements
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Optical Mask Requirements
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Exposure Tool Solutions
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Lithography Wafer Metrology Precision
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CD Metrology Technology
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Overlay Technology
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IntraWafer Critical Feature Uniformity
Approach to APC
BlueControl etch APC
Blue Control web site
http://www.bluecontroltech.com
Cypress Installation
MIMO Gate control etch in production
Lot-to-Lot controller (2004)
Future
W2W
WIW
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Simulation Addressed Signatures
Reticle
Scanner
Track & Process
Transmission
Exposure Dose
BARC Uniformity
Uniformity
Slit Uniformity
Resist Film Uniform
Flatness
Focus Stability
PEB Temp & Time
Feature CD
Chuck Flatness
Develop
Up-Down Scan
Soft Metrology Error
Substrate
Wafer flatness
Device topography
Scan Linearity
Effective Focus
Effective Dose
CDU
Primary disturbances causing CD Uniformity (CDU) variations grouped
upon their sources.
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Reticle Enhancement Techniques
“What you See” is not “What you get”
Design for Manufacture (DFM) Problems
Simulation
Neglect of most Process & Optic-stack signatures
Optical Proximity Correction
High-Frequency Limitations of Optical System
Inverse Lithography
Luminescent
Phase Shift Masks
Etch depth bias
Phase-Element Uniformity
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What Effect on Wafer?
MoSiON Fingerprint on Reticle
Nanometrics Atlas M Scatterometry
TEA Systems Weir PW Data Analysis
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Photoresist & BCD due to Moly Signature
Raw Photoresist Thickness
Modeled BCD
MoSiON Signature
Photoresist
Modeled BCD
1:1 90 nm features
BCD Full-Field Symmetric Model
BCD component due to MoSiON
Piston & high-order removed
4.5 nm Range
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Modeling Wafer Bias
CDsem
Reticle
Wafer
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All Dimensions scaled to wafer final size
Scatter
Reticle
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Bias Modeled FEM
Full-field systematic
response
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Feed Forward lithograph controls
Process A
Measurement A
Process B
Models, Simulation and a
database are needed
Add in process dependencies.
Objective:
Process N
Anticipate corrections to new
lots BEFORE exposure.
Measurement N
Feed-Forward
Litho
Process
(one tool)
Rework
CD &
Overlay
Process
Dependencies
Modeled
Analysis
Feed-Back
Next Process
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Feed Forward Techniques
EWMA
Exponentially Weighted Moving Average
Assumes a stable, continuous process
Enhanced EWMA
Include separate estimates and trend charts for:
Exposure Tool combinations
Process steps
Problems
ASIC or Logic fabs with many processes and devices
Each process-stream must maintain separate tracking and trends for each
process and reticle set.
Short Lifetime devices
Long device start intervals
Model Enhanced Signatures
Include systematic modeling of tools and process
Compensate by adding systematic signatures prior to exposure.
Signatures for processes and tools used in lot history.
Signatures for target tools of next process step.
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TRANSLATION
EWMA Feed-Forward
Tool # 3
Translation as recorded
0.1
0.05
0.3
X+ 3 s = 0.0847
0.25
0
0.2
-0.05
0.15
-0.1
-0.15
0.1
X+ 3 s = 0.0736
0.05
-0.2
0
-0.25
-0.05
-0.3
-0.1
EWMA improved by 10 nm
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Modeled Systematic Error Tracking
0.1
0.08
0.06
0.04
X Translation
0.02
0
-0.02
-0.04
-0.06
-0.08
Y Translation
-0.1
31 10 20 30 09 19 01 11 21 31 10 20 30 10 20 30
/D /J
/J
/J
/F /F /M /M /M /M /A /A /A /M /M /M
p
p
p
ec an an an eb eb ar ar a
a
a
a
a
/9
/9
/9
/9
/9
/9 r/9 r/9 r/9 r/9 r/9 y/9 y/9 y/9
/9
/9
9
9
9
9
9
9
9
9
9
9
9
9
8
0:
0: 9 .. 9 .. 9 ..
0:
0:
0:
0:
0: 0:
0: 0:
0:
0: 0:
.
.
0
0
0
0
0
0
00
0
0 00 .
0 00 00 00 00
0
0
0 00
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Seeing the Forest . . .
1.
1.
2.
3.
A single tool
aberration
signature.
2.
Identical
signatures
with varying
frequency and
amplitude.
“Random”
noise in daily
Trend Charts
3.
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Process and Tool offsets
Modeled Translation between two tools
0.06
0.05
0.04
0.03
0.02
0.01
0.00
-0.01
-0.02
-0.03
-0.04
Tool 2
Tool 2
Met3
Via3
M3
Via2
M2
Via1
M1
Contact
Poly
Tool 2
0.20
0.19
0.18
0.17
0.16
0.15
0.14
0.13
0.12
0.11
0.1
0.09
Production variations, and tool setup, are a function of:
• Reticle
• Film Stress
• Residual Matching
• Film Alignment Sensitivity
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Differentiate Tool Match & Reticle Errors
0.1
0.05
Tool_3
Reticle 1
Tool_3
Reticle 6
Metal Level
Tool_4
Reticle 1
0.2
0.0276
0.15
-0.0288
0
0.1
-0.0422
0.0244
-0.05
0.05
-0.0259
-0.0288
-0.1
0
-0.15
-0.05
-0.2
-0.1
Equipment
Tool 4 - Tool3
Ret 06 - Ret 01
X_shift
-9.1
56.4
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Y_shift
-10.4 nm
50.3 nm
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Statistical Tools
0.100
0.075
Translation
0.050
Bad InterField Stage
Precision.
0.025
CMP Mark
“SMEAR”
0.000
-0.025
-0.050
-0.075
-0.100
CMP Mark
“SMEAR”
-0.125
Model based statistics -- Global Alignment, Precision – are used to:
Qualify tool process capability
Provide data set quality values for Advanced Process Control
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Implementing the Feed-Forward model
Aberration signatures add as vectors
Coef feed-forward as: Pr ocess
Apply
Tlevel n A B * (T level n ) C * (T
Re ticle
level n
Tool
) D * (T level n )
Where “T” is the ith vector coefficient ( Translation, dose, mag etc.) of the
process model that is similarly implemented as:
k
i
i
A,B,C,D are derived dependency ori weighting
factors
0
Tlevel-n values are the vector-coefficients of the process, reticle and tools sets for
level “n” with the reference layer “m” coefficients subtracted, or
dP T * p
T leveln T coefficient _ level"n" T coefficient _ referenceto"n"
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Putting it together - Tool & Reticle!
Reticle Used
Before Corrections
0.15
0.1
0.05
0
-0.05
-0.1
-0.15
-0.2
Lot Overlay
0.15
0.1
0.05
0
-0.05
-0.1
-0.15
-0.2
Exposure Tool
Improvement: (Mean +3Sigma)
Before:
After:
X axis
0.150
0.073
Y axis
0.108
0.084
um
um
0.15
0.1
0.05
0
-0.05
-0.1
-0.15
-0.2
Data includes multiple
Exposure Tools and reticles
in a single layer.
Corrections added included
only:
reticle &
Tool Match Residual
After Corrections
Trans X
0.15
0.1
0.05
0
-0.05
-0.1
-0.15
-0.2
Trans Y
Exposure Tool
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