Title: Small%20Feature%20Reproducibility%20A%20Focus%20on%20Photolithography
1Small Feature ReproducibilityA Focus on
Photolithography
- UC-SMART Major Program Award
- Spanos, Bokor, Neureuther
- Second Annual Workshop
- 11/8/99
2Agenda
- 830 900 Introductions, Overview /
Spanos - 900 1015 Lithography / Spanos,
Neureuther, Bokor - 1015 1045 Break
- 1045 1200 Sensor Integration / Poolla,
Smith, Solgaard, Dunn - 1200 100 lunch, poster session begins
- 100 215 Plasma, TED / Graves,
Lieberman, Cheung, Aydil, Haller - 215 245 CMP / Dornfeld
- 245 330 Education / Graves, King,
Spanos - 330 345 Break
- 345 530 Steering Committee Meeting in
room 775A / Lozes - 530 730 Reception, Dinner / Heynes rm,
Mens Faculty Club
3Litho Milestones, Year 1
- Demonstrate AFM aerial image inspection on 180nm
features. - Demonstrate Specular Spectroscopic Scatterometry
CD metrology for 180nm features. - Demonstrate focus classification scheme for 180nm
features. - Complete 3D device simulations of mask errors and
LER effects in gate-level. Threshold voltage
shifts, turn-off characteristics, and saturated
drain current will be evaluated. - Complete a simulation feasibility study and
verification experiment on novel in-lens
filtering for resolution enhancement. - Evaluate the physical basis for novel effects in
interaction of light with materials and low
voltage electrons with resists. - Establish web based simulation capabilities for
DUV resists, mask topography effects and
electron-beam lithography.
4Litho Milestones, Year 2
- Demonstrate AFM aerial image inspection on 50nm
features. - Demonstrate 150nm Specular Spectroscopic
Scatterometry CD metrology. - Demonstrate focus classification scheme for 150nm
features. - Test NMOS devices with programmed mask errors and
LER, compare measured characteristics to
simulation. - Integrate scattering, imaging, resist modeling
for analyzing inspection and printabilty of mask
non-idealities in the context of use with OPC. - Establish a prototype system for process
integration including the automatic generation of
simulation-designed multi-step, short loop test
structures. - Establish web based simulation capabilities for
optical alignment and advanced electron-beam
lithography.
5Outline
- Simulation and Metrology
- Lithography Simulator Calibration
- Scatterometry
- Plans for Statistical Process Optimization
- Line Edge Roughness
- Lithography Simulation
6In-situ / On-wafer thin film Metrology
- Reflectometry / Ellipsometry / Scatterometry
- Thickness, n k, chemical composition
- Run-to-run and real-time monitoring
- Resist surface analysis for aerial image
evaluation
7Motivation for Parameter Extraction
- Current lithography simulators are parameter
limited as opposed to model limited. - Traditional optimization techniques are
unsuitable in complex, non-linear, high
dimensional problems. - Importance of predictive capabilities is
increasing with increasing development costs and
time-to-market pressures.
8Some Critical Parameters in DUV Lithography
Simulation
Amplification Rate (Pre-exp) Amplification Rate
(Activation) Acid Loss Rate (Pre-exp) Acid Loss
Rate (Activation) Dills A Parameter Dills B
Parameter Dills C Parameter Relative Quencher
Conc. PEB Diffusivity (Pre-exp) PEB Diffusivity
(Activation)
Maximum Develop Rate Minimum Develop
Rate Developer Selectivity Developer Threshold
PAC Resist Refractive Index (Real) Resist
Refractive Index (Imag.) ARC Refractive Index
(Real) ARC Refractive Index (Imag.) Relative
Focus Amplification Reaction Order
- Exact values obtained from experiments or resist
vendor - Narrow range of values available from unpatterned
experiments - Wide parameter range
9Proposed DUV-SCAPE Framework
3 user specified parameter ranges
1 unpatterned resist experiments
2 global optimization engine (SAC)
5 commercial simulation program
6 simulated profile
4 parameter interface front end
7 global optimization engine (SAC)
2 image processing front end
3 experimental profile
1 patterned resist experiments
10Salient Features
- Unpatterned Resist Models
- BCAM exposure and bake models
- Mack develop model
- Optimization Technique
- Global optimization theory (Adaptive Simulated
Annealing) - Patterned Resist Model
- Existing lithography simulators (e.g. SAMPLE,
Prolith, Solid-C, etc.)
11Experiments - Commercial DUV Resist
- Unpatterned Resist Characterization Experiments
- Process 4 wafers with flood exposed sites
- Measure ARC and Resist optical constants -
Ellipsometry - Measure exposure and PEB parameters - FTIR/DITL
- Measure develop parameters - DRM
- Patterned Resist Characterization Experiments
- Process 1 wafer with a focus-exposure matrix
- Measure profiles for sub-quarter micron lines
using AFM/cross-section CD-SEM/Specular
Spectroscopic Scatterometry
12Unpatterned Experiments
1 .5 0
135C
140C
Exposure PEB Parameters
Deprotection
120C
110C
0 1 2 3
4 5 6 7
Exposure Dose (mJ/cm2)
3000
Develop Parameters
2000
Develop Rate in A/sec
1000
0
0 0.5
1
Normalized concentration of unreacted sites
13Patterned Experiments AFM vs Simulation
mask 1 mask 2 mask 3 mask 4 mask 5
mask 6 mask 7 mask 8 mask 9 mask 10
Masks 1-10 differ in the line-space ratios
0.25 micron process technology OPC assisted
masks
-1 Focus 1
-1 Focus 1
14What is Scatterometry?
- Concept Scattering (Diffraction) of light from
features produces strong structure in reflected
optical field. - Analyze structure to obtain topography
information. - Periodic structures (gratings) can be numerically
modeled exactly.
Incident Laser Beam
Incident Polarized White Light
0th order
0th order
2-q Scatterometry
Specular Spectroscopic Scatterometry
15Specular Spectroscopic Scatterometry
- 0th order, broadband detection
- 1D gratings and 2D symmetric gratings
- Use spectroscopic ellipsometers
sinqm sinqiml/D sinqmlt1
l
Cut-Off Pitch
600 300 400 200 250 125 (in nm)
16Timbre ProfilerTM Flow
Timbre ProfilerTM
Timbre ProfilerTM Library Generation
Electromagnetic Simulation Software
Generate Profile Library
Generate Signal Library
Typical turnaround time 6-12 hours
Compiled Profiler Library
Compiled Profiler Library
Collect Reflected Signal
Timbre ProfilerTM Measurement
Reconstructed Profile
Ellipsometer / Reflectometer
Test Grating (Scribe Lane)
Total Measurement Analysis 5 seconds/site
Load Library on Ellipsometer
Ellipsometry Measurement
Analysis
17ProfilerTM Setup
- Periodic grating on mask ( 50 mm 50 mm area -
typical spot size of production spectroscopic
ellipsometers) - line/space specified
- Provide optical constants for each film in the
stack - Broadband (240-800 nm)
- Specify variability expected in process (in CD
thickness) - range around nominal in nm
- Specify spectroscopic ellipsometer /
reflectometer angle of incidence - Save broadband tan y and cos D values
- Specify accuracy requirements
- down to sub-nm (this automatically decides
library size)
18GTK Interface at http//sfr.berkeley.edu
19Matching on tan(Y) and cos(D)
Tan(Y)
Cos(D)
Simulated by GTK
20Example of 0.25mm Profile Extraction
Blue is actual (by Veeco AFM). Red is extracted
from GTK Library.
21Case I Resist on ARC on Si (0.18 mm technology)
Resist
ARC
Si
Focus-Exposure Matrix
22Profile Extraction over the entire FEM
RED is AFM. BLUE is extracted.
23Offset between CD-SEM and ProfilerTM as a
function of Sidewall Angle
D bottom CD (CDSEM - PXM) in nm
Sidewall angle in degrees
24Case II Resist on ARC on Metal (0.25 mm
technology)
Resist
ARC
TiN
Al
TiN
Ti
TEOS
Si
25Profile Extraction Resist on ARC on Metal
CD-SEM (Bottom CD)
Profiler Extraction
PXM (Bottom CD)
CD (in nm)
Correlation 0.93
Site Number
26Case III Etched Metal
TiN
Al
TiN
Ti
TEOS
Si
Focus-Exposure Matrix
27Profile Extraction Etched Metal
CD-SEM (Top CD)
Correlation 0.92
CD (in nm)
Profiler Extraction
PXM (Top CD)
Site Number
28But What Is Our Real Goal?
-- a good profile ?
-- or high yield ?
- We cannot avoid process variations
- Recipe setting drift focus ( 0.2 ?m), dose, PEB
temperature - Model and material parameter variation resist n
k, developer Rmax and Rmin, acid diffusivity - System inherent variation mask OPC feature
variation - Our goal is to maximize yield for the statistical
distribution of parameters and operating points.
29Parameter Variation Effect
Profile deviation from best setting
Operating Point Settings
30Parameter and Operating Point Variances Extraction
Parameter mean variation
Experiment data
Recipe setting drift
Lithography process
In-die spatial variation
Hierarchical process disturbance extraction
31Recipe Optimization with Variations
Parameter distributions
Spatial variation
Simulated Output distributions
Profiles within spec.
Calibrated Lithography Simulator
-
Operating Point distributions
Overlapping to get yield
RECIPE OPTIMIZER
32Recipe Optimization with Multiple Feature Types
Poly layer isolated line periodic lines with
OPC metal layer isolated line periodic lines with
OPC elbows combination of above Need to link
recipe optimization to circuit performance!
33Parameter relationship analysis
- In reality, all parameters have variations
- too many dimensions for output distribution
calculation - Parameter relations can be analyzed to attribute
the variation of some parameters to other
parameters - diffusivity ? PEB temperature
- developer temperature ? Rmin and Rmax
- What are the fundamental reasons behind the
variation? - Need a comprehensive list of disturbances, linked
to physical models, circuit performance.
34Summary
Experiment Data
Spatial variation filter
Param. op. point variance
Param. mean values
Calibrated Sim. Eng.
Target Specs. of features
In-line sensor measurement
Recipe of max. yield
Maximization of overlapping area
35What is Next?
- Extend statistical optimization to other process
steps - Plasma etching
- Metallization
- Device level
- Circuit level
- Process simulator for other steps needed
- Simulator for full process procedure Avant!,
Solid C - device model BSIM3
- Circuit simulator SPICE
- Study error budgets, linked to circuit
performance.
36Outline
- Simulation and Metrology
- Line Edge Roughness
- Lithography Simulation
37Defining LER and Defect Specifications
- SFR Workshop
- November 08, 1999
- Tho Nguyen, Shiying Xiong and J. Bokor
- Berkeley, CA
- The objective of this work is to understand and
model the impact of lithography/etch line-edge
roughness in the gate definition layer, on the
electrical behavior of short channel transistors
38Progress Since May
- Hydrodynamic Model working
- 3D interaction of Defects
- Real LER Simulation
39Effect of Gate Errors on Device Characteristics
gate
Threshold voltage Turn-off slope Drive
current Device reliability
Cross-section
n
n
Edge roughness
Layout views
DL
Single defects
DW
40Base Design
Channel Doping Selected at 0.4 Volt Halo
Implant Incorporated to Offset Vt rolloff
Threshold Swing 70-80 mV/decade _at_ Vds 2V and L
100nm DIBL 70 mV/V for Vds 0.05-2V
Vt RollOff Characteristics
500
450
Device Length 200 nm Channel Length 100
nm Channel Width 50-200 nm Buried Oxide 100
nm Si Film Thickness 250Å Gate Oxide 30 Å
400
Without Halo Implant
350
With Halo Implant
300
250
0
0.2
0.4
0.6
0.8
1
1.2
Channel Length (Microns)
41Real 3D LER Construction and Simulation
- Real 3D LER Created by Matlab and incorporated
into simulator language - LER defined by band-limited white spectrum. 2
parameters RMS roughness, correlation length - Process simulation used for self-aligned S/D
doping - Current digitized LER resolution is 0.5-1nm due
to limited memory
160
42Simulation Results
- Hydrodynamic model has been successfully turned
on in ISE simulator - With hydro on, Ion is 30 higher
- Simulations of real 3D LER has been successful
( _at_ W 50nm)
I_V Curves for Different Real 3D LER
Zoom View of Leakage Current
- 25 increase in Ioff for 5nm rms roughness
- 140 increase in Ioff for 9nm rms roughness
43Simulation Results
- Defect shows 3D interaction for channel width
less than 100nm - To study LER, we have to use 3D models
- Intel Work (T. Linton, et al. 1999)
- Simulation of square-wave modulation of LER with
Neuman boundary conditions
- Shows similar 3D interaction
- Leakage control by length adjustment with
reasonable Ion reduction
44Milestone Status
- June 1999
- Complete 3D device simulations of mask errors and
LER effects in gate-level. Threshold voltage
shifts, turn-off characteristics, and saturated
drain current will be evaluated. - Status Late. Student (Tho Nguyen) started Jan.
1999. Second student (Shiying Xiong) started
Sept. 1999. Expect completion March 2000. - June 2000
- Test NMOS devices with programmed mask errors as
well as varied LER and compare measured
characteristics with simulation results. - Status Delayed. No company fab support. Will
start Microlab run Jan. 2000 if unable to arrange
support from company fab.
45Proposal for 2000-2002
- Simulation
- Effect of LER on GIDL
- Effect of LER in isolation edge
- Device reliability
- Extend to 50 nm CD
- Experiments
- Complete gate roughness experiment for 100 nm CD
- Isolation roughness experiment
- Extend to 50 nm CD??
46Outline
- Simulation and Metrology
- Line Edge Roughness
- Lithography Simulation
47Implications of Polarization, Corner Rounding,
OPC Design and OPC Fidelity on Aerial Images
- Konstantinos Adam
- Prof. Andrew Neureuther UC Berkeley
- Use EM theory and rigorous TEMPEST simulations
to investigate photomask technology issues - Current Investigations
- scattering bars - polarization effects
- corners - interior versus exterior
- OPC features - placement and corner rounding
48Scattering Bar Simulation with TEMPEST
CDtarget130nm
Mag4X
l193nm
Ey
TE Ey polarization
Ex
TM Ex polarization
mm
mm
49SB Aerial Images
l193nm, NA0.7, s0.6, Mag4X, CDtarget130nm
Aerial Image (Best focus)
Normalized Intensity
(mm)
- Observe that the scatter bars (also the main
feature) appear wider in TM excitation than in TE
and narrower with SPLAT simulation (scalar theory)
50SB Design Graphs
Intensity dip of SB
CD Control with SB Size Control
Intensity
CD (nm)
Size of SB (l/NA)
Size of SB (l/NA)
51Corner Rounding (Clear Field Mask) - Ey Near
fields
l193nm
Mag4X
CDtarget130nm
Eincident (TE)
Eincident (TE)
52Corner Rounding Design Graph
- LES increase versus radius of curvature is
quadratic, i.e. it is proportional to the area
missing from the corner due to the roundness
53External OPC Ey Near Fields
Example 0.1l/NA Square OPC and Mouse Ear OPC
with radius0.06l/NA
Reference
Square OPC
Mouse Ear OPC
54OPC Design Graph
Data for OPC displaced along the diagonal
55Resist modeling, Simulation and Line-End
Shortening effects
- Mosong Cheng
- Prof. Andrew Neureuther, UC Berkeley
- Use experiment and simulation to investigate
photoresist performance and provide mechanism
based models, characterization methodology,
accurate profile simulation and support
models/fast algorithms for including resist in
OPC - Current investigations
- chemically amplified resist modeling - LES and
SFR K2G - electric-field-enhanced post-exposure bake
- fast imaging algorithm for 2-dimensional OPC
56Resist-model-based line-end shortening simulation
- APEX-E , UVIIHS, K2G parameter-extraction
methodology -
- Simulation flow
Problem Top to Top underestimates
diffusion Problem Micro-stepper at Berkeley has
insufficient image quality
57K2G resist DRM curves and reaction/diffusion/outg
asing model
- DRM curves, dissolution rate is lower at the top
if no TARC.
Collaboration with Jacek Tyminski Nikon
- Reaction/diffusion/outgasing model
58K2G resist modeling and simulation
Extracting dissolution parameters
Large-area exposure
Extracting reaction rate
Resist profile simulation
Fitting with DRM data
Extracting diffusivity
- Resist profile simulation
59Electric-field-enhanced post-exposure bake
- Goal shorten PEB time, improve vertical resist
profile uniformity, reduce lateral acid
diffusion. - Principle vertical electric field enhance the
vertical movement of photo-acid, hence enhance
the reaction cross-section. PEB time as well as
lateral acid diffusion can be reduced. - Experimental Setup
Al foil
wafer
Al foil
Hotplate
Resist
E
photoacid
60Electric-field-enhanced post-exposure bake status
- Experiment done in summer 1999, on UVII resist
using JEOL.
RESIST
RESIST
- UVII resist, 0.5µm L/S, dose 20µC/cm2, PEB with
100kHz, 3.3V AC, 140oC, 60sec.
- UVII resist, 0.5µm L/S, dose 20µC/cm2, nominal
PEB,140oC, 90sec.
61Fast resist imaging algorithm for 2-dimensional
OPC(submitted to SPIE99)
- Assume 2-D reaction/diffusion. Let
f(x,y,t)Cas(x,y,t), g(x,y,t)Ca(x,y,t).
Contains Spatial Laplacian and Uses 3rd Order
Splines
Based on NT Aliasing and NL Relaxation
Very Fast as only requires repeated
multiplication with fixed coefficients
- Iterative solve c2,d2, to minimize the error E.
62Fast resist imaging algorithm simulating flow
and tuning parameters
- Simulating and tuning flow
resist profile
Mask pattern
aerial image
Resist imaging
SPLAT
Resist parameter tuner
Differential
Method of Feasible Direction
SEM picture
- Extract resist parameters by tuning the image to
fit with SEM picture.
63Progress on Milestones
- Year 1
- simulate in-lens filtering (Done)
- resist exposure mechanisms (Not Started
gtDARPA/SRC) - web simulation resist and mask effects (In
Progress 70) - Year 2
- Integrate scattering, imaging and resist
(Expanded by 3X in the number of effects
characterized, In Progress 70) - process flow generator for test structures (Not
Started) - web alignment and e-beam (alignment Ongoing 30,
e-beam Not Started gt DARPA/SRC)
64Future Opportunities in Lithography
- Photomask EM effects (How to move faster?)
- impact of non-idealities
- inspection and repair
- Chemically-Amplified Resists
- models that work
- methodology to calibrate models for production
- Optical Systems
- high NA
- low k1
65Targeted Opportunities in Photomasks and Optics
- Attenuating phase-shifting masks
- high refractive index and physical height of the
attenuating material adversely influences light
in adjacent areas - Alternating phase-shifting masks
- 3D problematical structures - resonate ridges and
cross-talk between features inside the photomask - Phase-shifting mask repair
- guidelines for adequate repair - height, slope,
river bed, stain - Optics
- role of laser bandwidth in image quality
- high NA thin-film polarization effects
66Targeted Opportunities in Resists and Tools
- Complete comparison of Simulation and SEM's of
printed features in K2G resist, quantify the
accuracy of the resist model. - Complete coding of the fast but approximate image
processing like algorithm and assess speed and
accuracy against rigorous simulation in STORM. - Initiate tool-process-dependent line-end
shortening investigation by identifying key
factors contributing to line-end shortening and
suggesting approaches for control and
compensation tuning.