Upload
others
View
3
Download
0
Embed Size (px)
Citation preview
Lithographically Generated Line Edge Roughness in
Photoresist
Adam R. Pawloski, Alden Acheta, Bruno La Fontaine, Scott Bell, Harry J. Levinson
Advanced Micro Devices
January 13, 2005 2Adam R. Pawloski et al.– Advanced Micro Devices
• A few remarks why LER is bad
• At least 5 major factors contributing to LER in photoresist – The quality of the aerial image– The edge roughness of the photomask absorber– Photon statistics– Chemical transformations that occur during image formation– The physical chemistry of the resist surface
• Outlook – What solutions to the LER problem are available? – What role do etch engineers play?
Outline
January 13, 2005 3Adam R. Pawloski et al.– Advanced Micro Devices
Why LER is Bad, Bad, Bad
• CD Control and Device Performance→ Across chip linewidth variation (ACLV)!
• LER is CD control at relevant frequencies (we have the tendency to think of LER with respect toward the limit as
, but CD control as )
→ The industry has more than 20 years of data that tells us leakage is reduced by making gate dimensions more uniform across the chip and yield goes up when reducing variations across the wafer
→ Simulation data (and some limited experimental data) show that device fluctuations get much, much worse when LER is large
→ Better CD control = less leakage = low power = $$$
0→y ∞→yx
y
January 13, 2005 4Adam R. Pawloski et al.– Advanced Micro Devices
avgy1avgy2
x
)(1 xy )(2 xy
avgavg yyCD 21 −=
CD
{ }2
)()(33
221
−
∑ −−=
N
CDxyxyLWR i
ii σ
( )1
)(33
211
−
∑ −=
N
yxyLER i
avgi
σ
∫×= dffLER PSD LER )(233σ
0
2)(2xx
fY
f −=LERPSD
( )∫ −= −fx
x
ifxavg dteyxyfY0
211 )()( π
Line Edge Roughness Measurement
0.00001
0.00010
0.00100
0.01000
0.10000
1.00000
0.1 1 10 100 1000Frequency (um-1)
Po
wer
Sp
ectr
al D
ensi
ty (n
m2/
um
-1)
EUV 22.2 mJ/cm2EUV 23.1 mJ/cm2EUV 24.0 mJ/cm2EUV 25.0 mJ/cm2EUV 26.0 mJ/cm2EUV 27.0 mJ/cm2EUV 28.1 mJ/cm2EUV 29.2 mJ/cm2EUV 30.4 mJ/cm2EUV 31.6 mJ/cm2EUV 32.8 mJ/cm2193nm Resist at Min LER (ILS>18um-1)
January 13, 2005 5Adam R. Pawloski et al.– Advanced Micro Devices
Quality of the Aerial Image
• The aerial image is the intensity distribution of light from the exposure tool incident upon the wafer
→ It defines the theoretical locations of exposed and unexposed material
0 50 100 150 200 250 3000
0.2
0.4
0.6
0.8
1
X coordinate (nm)
Rel
ativ
e In
ten
sity
• Think of an aerial image as modulation
→ Very little in the exposure is completely dark or completely bright
→ It becomes more difficult to generate high contrast aerial images as features get smaller (decreasing pitch)
Mask
January 13, 2005 6Adam R. Pawloski et al.– Advanced Micro Devices
Quality of the Aerial Image
• The “steepness” of the aerial image at the edge of the patterned feature plays a large role on resist pattern quality
• The closer an aerial image is to a step function in intensity, the better
→ CD control improves with increasing “steepness” of the aerial image because the resist CD at the pattern edge is less sensitive to local fluctuations in dose
Examples of aerial images for different linewidths at 300nm pitch
-150 -100 -50 0 50 100 1500
0.2
0.4
0.6
0.8
1
x coordinate (nm)
Rel
ativ
e In
ten
sity
100nm125nm150nm175nm200nmideal 100nm
( )
∂∂=
0
)(1
0 xxxI
xIILS
• The aerial image parameter that quantifies profile “steepness” is the image-log-slope (ILS)
January 13, 2005 7Adam R. Pawloski et al.– Advanced Micro Devices
Quality of the Aerial Image
• The most significant contributor to LER is the quality of the aerial image
→ Pitch, illumination, line width, flare, fading, etc.
• LER is a minimum as the image-log-slope (ILS) of the aerial image is a maximum
• As the ILS approaches infinity, the magnitude of LER reaches a non-zeroconstant
→ In this regime we begin to see the effects of polymer physics
Further improvements in aerial image quality do not reduce LER further
*A.R Pawloski et al., Proc. SPIE, vol. 5376, 2004
January 13, 2005 8Adam R. Pawloski et al.– Advanced Micro Devices
Mask Absorber Roughness
• Since the photomask is made using lithography and photoresists, it also has some magnitude of LER
• Can mask absorber roughness transfer to the wafer as resist LER?
CD SEM images illustrating typical line quality for absorber lines from binary mask fabrication
January 13, 2005 9Adam R. Pawloski et al.– Advanced Micro Devices
Mask Absorber Roughness
0
0.2
0.4
0.6
0.8
1
1 10 100Spatial Frequency (µm-1)
LE
R T
ran
sfer
Fu
nct
ion
KrF 0.85NAArF 0.85NAArF 1.1NAEUV 0.1NAEUV 0.25NA
• The LER transfer function from the mask absorber to the resist was derived by Naulleau and Gallatin (Appl Opt, vol. 42, pp. 3390-7, 2003) for EUV imaging
• Following these procedures, the LER transfer function was calculated for a variety of exposure tools from KrF through EUV
• As the resolving power of the optical system improves (moving to higher NA and shorter wavelength) more mask LER is transferred to the wafer leading to resist LER
→ Low frequency roughness in resist
• Negligible contributions for most optical lithography processes and masks
January 13, 2005 10Adam R. Pawloski et al.– Advanced Micro Devices
Photon Statistics
• Decreasing the exposure wavelength, the exposure dose, or the quality of the aerial image increases the probability that photon statistics (shot noise) contribute to LER
• At EUV, shot noise could contribute to increasing the magnitude of LER for fast resists (fewer, higher energy photons at EUV)
• For optical lithography, shot noise effects are small, if at all present, and likely are overshadowed by other contributions to resist LER
→ However, photon statistics beget photoacid molecule statistics!
0
1
2
3
4
5
6
7
8
9
10
0 5 10 15 20 25 30 35
Resist sensitivity (mJ/cm2)
LER
3 (n
m)
EUV - ILS=15 um-1
EUV - ILS=20 um-1
EUV - ILS=25 um-1
EUV - ILS=30 um-1
193 - ILS=15 um-1
193 - ILS=20 um-1
Results from stochastic simulation assuming Poisson statistics to describe the arrival of photons at the resist.
The resist contribution is simulated using a 40nm gaussian blur to describe photoacid diffusion
January 13, 2005 11Adam R. Pawloski et al.– Advanced Micro Devices
The Chemical Composition of Resist
• The resist film is made up mostly of polymer
• A photo-acid generator produces photoacid catalyst upon exposure
• A quencher (base) provides profile control, environmental stability and lower LER
• Other additives, like dissolution inhibitors and surfactants are added to improve dissolution behavior and contrast
OH
O
O
X Y Z
S+ S
O
CF2CF2CF2CF3
O
O-
NH3C(CH2)7 (CH2)7CH3
(CH2)7CH3
Phenolic polymers typical of
248nm resists
Methacrylate polymers typical of
193nm resists
O
O
O
O
OO
X Y
Triphenylsulfonium 1-perfluorobutane
sulfonate PAG
Trioctylamine base
Uncle Joe’s secret sauce, wing of bat, pixie dust, etc.???
January 13, 2005 12Adam R. Pawloski et al.– Advanced Micro Devices
Latent Image Formation at the Pattern Edge
• Photogenerated acid catalyzes the removal of blocking groups from the polymer backbone, converting to hydrophilic, base soluble functional groups (acids and alcohols)
• Reaction catalysis is coupled with thermal diffusion during the post-exposure bake (PEB)
Nominally unexposed
Nominally exposed
Extent of polymer
deprotection
Transition region
Photoacid diffusion
and reaction catalysis
• Photoacid statistics and gradients are important
• The final distribution of reaction products at the end of the PEB defines latent roughness prior to development
→ Which polymer chains dissolve and which remain
January 13, 2005 13Adam R. Pawloski et al.– Advanced Micro Devices
Remaining resist
Resist developed
away
Extent of polymer
deprotection
Transition region
Aqueous base developer
• During development, polymer chains dissolve into solution
• The dissolution mechanism for resist is also based on chemical reaction (acidic functional groups are converted to ions allowing solubil ity in aqueous base while remaining insoluble in water)
Resist Dissolution at the Pattern Edge
• Do polymer chains dissolve individually, or do they come out at aggregates, possibly contributing to roughness?
• How do the thermodynamics of the resist-developer interface contribute to roughness formation?
• Are these chemical mechanisms limited to high frequency roughness, or are there cooperative, low frequency effects?
January 13, 2005 14Adam R. Pawloski et al.– Advanced Micro Devices
The Photoacid Gradient at the Pattern Edge
Increasing base concentration
Increasing base
concentration
Adding base to the resist
formulation increases the
gradient in photoacid
concentration at the edge of the
resist
Ex: The action of adding base to
reduce LER
*A.R. Pawloski et al., Arch Interface Conf. Proceedings, Tempe, AZ 2004
January 13, 2005 15Adam R. Pawloski et al.– Advanced Micro Devices
Physical Chemistry of the Resist Surface
• LER can be altered by the physical chemistry of the surface of the resist in contact with developer or a rinse liquid
Resist after DI water
rinse
Resist after surface
conditioning rinse (Air Products)
Increased Fading (decreasing aerial image quality) à
• Polymer molecules at the surface of the resist adapt conformations to minimize the energy of interaction across the resist/developer or resist/rinse liquid interface
• If methods are found to control this thermodynamic interaction, it may be possible to reduce mid and high frequency roughness
1.00E-05
1.00E-04
1.00E-03
1.00E-02
1.00E-01
1.00E+00
1.00E+01
0.1 1 10 100 1000Frequency (µm-1)
PS
D (
nm
2/µm
-1)
Control, 10s, AL00333 s04
J09, 10s, ARP01 s09
0ppm AMag
0 ppm 3 ppm 6 ppm 9 ppm 11 ppm
Reduction in LER!1.00E-05
1.00E-04
1.00E-03
1.00E-02
1.00E-01
1.00E+00
1.00E+01
0.1 1 10 100 1000Frequency (µm -1)
PS
D (
nm
2/µm
-1)
Control, 10s, AL00333 s04
J09, 10s, ARP01 s09
11ppm AMag
January 13, 2005 16Adam R. Pawloski et al.– Advanced Micro Devices
Strategies for LER Reduction
• Minimization of LER requires a holistic approach
• Critical performance needed from suppliers, designers, and process
Minimum Impact of LER
on Device Performance
Design Devices with Increased
Tolerance to LER
Minimize LER Transfer
Through Etch
Minimum Impact of LER
on Device Performance
Design Devices with Increased
Tolerance to LER
Minimize LER Transfer
Through Etch
Minimize Generation of Lithographic LER in Resist
Use Litho-FriendlyLayouts
Optimize Aerial Image
Quality
Minimize Mask Absorber
Roughness
Expose Resist Above Shot Noise Limits
Optimize Resist
Process
Design and Formulation of Resist Materials with
Reduced LER
Reduced photospeed
Large ILSFocus control
Low aberrations
Minimumvibrations
Dose control
Optimum illumination
Optimum mask lithography
Optimum pattern transfer into absorber
Single pitch
Full OPC
Large photoacidconcentration gradients
Favorable thermodynamicsPAB, PEB, and development
RinseTransparency
New polymer designsPAG and base loading
Environmental stability
Accurate and Precise Metrology
Quantification methods
Standards
Film stack
Resist thickness
Low flare
January 13, 2005 17Adam R. Pawloski et al.– Advanced Micro Devices
Pre- and Post- Etch LER14
mJ/
cm2
16 m
J/cm
218
mJ/
cm2
20 m
J/cm
222
mJ/
cm2
Resist Poly
Resist Poly
January 13, 2005 18Adam R. Pawloski et al.– Advanced Micro Devices
0.001
0.01
0.1
1
0.1 1 10 100 1000
Frequency (um-1)
LE
R P
SD
(nm
2/u
m-1
)
Post Litho - Resist
Post Etch - Poly
14mJ/cm2
0.001
0.01
0.1
1
0.1 1 10 100 1000
Frequency (um-1)L
ER
PS
D (n
m2/
um
-1)
Post Litho - Resist
Post Etch - Poly
16mJ/cm2
0.001
0.01
0.1
1
0.1 1 10 100 1000
Frequency (um-1)
LE
R P
SD
(nm
2/u
m-1
)
Post Litho - ResistPost Etch - Poly
18mJ/cm2
0.001
0.01
0.1
1
0.1 1 10 100 1000
Frequency (um-1)
LE
R P
SD
(nm
2/u
m-1
)
Post Litho - Resist
Post Etch - Poly
20mJ/cm2
Post-Etch LER
After etch, LER in poly can be reduced from the LER of the
resist mask
Smoothing by good etch
processes may be able to affect more than just
the high frequency
components
January 13, 2005 19Adam R. Pawloski et al.– Advanced Micro Devices
Acknowledgements
Sincere appreciation is expressed to the following individuals for their assistance in many facets of this work:
• Karen Turnquest, Uzo Okoroanyanwu, Dave Kyser,Jongwook Kye, Jeff Schefske, Bryan Choo, Cyrus Tabery, Rex Ugalde, Cal Gabriel (AMD)
• Prof. Grant Willson, Andrew Jamieson, Tim Michaelson(Univ. Texas, Austin)
• Patrick Naulleau (CXRO, LBNL)
• Chuck Masud (ASML)
• Koji Toyoda (Canon)
• Manny Jaramillo, Peng Zhang, Maud Rao, Leslie Barber(Air Products)
January 13, 2005 20Adam R. Pawloski et al.– Advanced Micro Devices
Trademark Attribution
AMD, the AMD Arrow Logo and combinations thereof are trademarks of Advanced Micro Devices, Inc. Other product names used in this presentation are for identification purposes only and may be trademarks of their respective companies.