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Defect/Yield Analysis
& Metrology
Characterizing
and monitoring copper CMP using nondestructive optoacoustic metrology
Michael Gostein, Philips Analytical;
and Paul Lefevre, Fujimi (formerly of International Sematech)
A joint study reveals that optoacoustic
metrology can be used to optimize chemical-mechanical planarization
processes and track film-thickness variations during production.
With
the IC industry rapidly switching to copper for circuit interconnects,
the lack of etching techniques to remove copper has led manufacturers
to adopt damascene processes, using chemical-mechanical planarization
(CMP) to remove excess copper and associated barrier metals. The challenge
is to optimize CMP process uniformity, which means minimizing copper
dishing and dielectric erosion and ensuring that structures with widely
varying feature densities are polished evenly.
Nondestructive
optoacoustic film-thickness measurement has emerged as a promising tool
for characterizing metal deposition as well as for monitoring production
results in-line. Optoacoustic measurements taken on blanket and patterned
films are especially valuable for CMP process development and control.1,
2 The optoacoustic technique generates and detects ultrasonic
waves using laser light, and, in contrast to profilometry, which measures
surface topography, it measures metal thickness directly.3
For CMP applications, commercially available optoacoustic metrology
instruments can be used to characterize all process stages: the technique
can measure film-thickness uniformity before polishing, removal rates
at intermediate stages, and the final thickness after polishing. The
technology is also suitable for integrated measurement within the CMP
equipment itself.
This
article describes a joint project conducted by Philips Analytical (Natick,
MA) and International Sematech (Austin, TX) that investigated the use
of optoacoustics for CMP process characterization. The ability of the
technique to provide unique process data that complements information
gathered by other techniques is highlighted. The article also defines
planarization length (a key CMP parameter), discusses the film measurements
that can be taken between polishing stages, and outlines post-CMP thickness
measurements of submicron arrays for process monitoring.
Experimental
Details
To
create test samples for the evaluation of optoacoustic metrology capabilities,
40005000-Å-thick SiO2 layers were
thermally grown on 200-mm silicon wafer substrates. For unpatterned
films, the metal was deposited directly onto the oxide. For patterned
films, a silicon nitride layer approximately 1000 Å thick was
first deposited on the thermal oxide, and ~5000 Å of additional
oxide (TEOS) was deposited using chemical vapor deposition. The oxide
was then patterned using deep-ultraviolet (DUV) lithography. To open
windows for the metal pattern, the oxide was selectively etched back
to the nitride, after which an ~250-Å tantalum liner and 1000-Å
copper seed were deposited using physical vapor deposition. The copper
was then electroplated to a thickness of ~1 µm. Various CMP processing
conditions, some detailed below, were used to polish the copper-covered
wafers.
Thickness
measurements were taken using Philips Analytical's Impulse 300 in-line
tool, which uses the impulsive stimulated thermal scattering optoacoustic
technique.1,2 The instrument measured large solid areas as
well as arrays of submicron features using a 25 x
90-µm spot size. Measurement times were typically between 1 and
3 seconds per site to permit rapid wafer mapping. Reference measurements
of film-step heights were taken using a high-resolution profilometer,
and, where required, field oxide thickness on polished wafers was checked
using reflectometry.
CMP
Uniformity
Figure
1 presents an example of how optoacoustic instruments can be used to
optimize the CMP process by analyzing polishing uniformity across a
wafer. The technique's high spatial resolution enables thickness to
be measured all the way to the wafer edge. The two copper-thickness
diameter profiles shown were measured on blanket films before and after
a CMP step. Comparing the two profiles reveals the polish rate uniformity
across the wafer.
 |
| Figure 1: Copper-thickness profile
across a wafer diameter, pre- and post-CMP, measured with an optoacoustic
tool. |
To
avoid local underpolishing or overpolishing and ensure that the copper
film-thickness profile becomes flatter during CMP, the CMP uniformity
must match the incoming copper deposition uniformity profile. In the
case of the wafer shown in Figure 1, for example, the CMP within-wafer
uniformity was not sufficient for the thickness profile of the copper
layer and the film topography was not flattened by the polishing. That
is, the polishing was conformal rather than planarizing.
Planarization
Length
A
key CMP parameter is planarization length (PL), which is the lateral
distance below which polishing tends to remove the wafer topography
and above which it merely tends to reproduce the topography. To ensure
maximum planarity across the wafer, the planarization length should
be as large as possible. Determining and optimizing this parameter over
a range of process conditions greatly assists in the optimization of
a CMP process.
For
this study, a special large-area test pattern, designated Sematech 862,
was designed by International Sematech and the Massachusetts Institute
of Technology (Cambridge) to investigate planarization length.4
To create this pattern, square windows with widths L that varied
between 125 µm and 25 mm were etched into the oxide. Optoacoustic
measurements were then taken from the top and bottom of a range of such
features on different wafers and at various polishing stages to determine
planarization efficiency for each feature length. Planarization efficiency,
PE, can be defined mathematically as
where
RRtop
and RRbot
are the copper removal rates at the top and bottom of the trench, respectively,
as shown schematically in Figure
2a. An efficiency of 1 indicates that the process is removing no
material from the bottom of the trench, only from the top; an efficiency
of 0 means that the process is removing as much from the bottom of the
trench as from the top. Figure
2b is a plot of the optoacoustic measurements taken to determine
planarization efficiency for a 4-mm-wide square trench. In that exercise,
six Sematech 862 wafers were polished to varying degrees to achieve
the targeted bulk-copper removal amounts listed.
Planarization
efficiency is a function of trench width, L. For narrow trenches, little
material is removed from the trench bottom by the CMP process, giving
a high planarization efficiency. For very wide trenches (where the width
is very large compared with the depth), CMP begins to remove material
equally from the top and bottom of the trench, giving a low planarization
efficiency. An example of this relationship is given in Figure 3, which
plots planarization efficiency as a function of trench width for the
six Sematech 862 wafers discussed above. As the figure shows, planarization
efficiency was high for feature widths ≤1000 µm, then began
to decrease at the point marked MIN. PL, and finally reached a near-zero
level at the point marked MAX. PL, where features were >10,000 µm.
The average planarization length is considered to be the geometric average
of the MIN. PL and MAX. PL points, corresponding roughly to the crossover
point between low and high planarization efficiency.4 In
the example in Figure 3, therefore, the average planarization length
is ~5000 µm.
 |
| Figure 3: Planarization efficiency
versus trench width for six wafers with increasing targeted bulk-copper
removal amounts. Minimum and maximum planarization lengths (MIN.
PL and MAX. PL) are the feature lengths at the end points of the
line drawn through the decreasing part of the curves. |
Using
the technique described above and the special 862 test pattern, the
researchers utilized the optoacoustic tool to determine planarization
length for a variety of process conditions on a rotary polisher with
the objective of determining which conditions yield the optimum (longest)
length. The parameters that were varied included down force, carrier
speed, table speed, slurry type, and pad type. Table I lists a few examples
of the test results to illustrate the range of planarization lengths
that corresponded to the differing process variables. Additional data
have been presented elsewhere.4 Optoacoustic measurements
are more suitable than profilometry for this type of process characterization
because of the very long profiles that are needed (tens of millimeters).
As the scan length increases, drift in the profiler's base level decreases
the accuracy of profilometry. The optoacoustic tool also scans large
distances on the wafer surface much more rapidly than profilometers
can.
|
Down
Force
(psi)
|
Carrier
Speed
(rpm) |
Table
Speed
(rpm) |
Slurry
Type |
Pad
Type |
Average
Planarization
Length (µm) |
|
4
|
75
|
75
|
A
|
Stacked
|
3,354
|
|
4
|
75
|
75
|
B
|
Solo
|
7,044
|
|
3
|
100
|
100
|
C
|
Stacked
|
5,000
|
|
1
|
30
|
30
|
C
|
Stacked
|
9,922
|
|
1
|
100
|
100
|
C
|
Stacked
|
10,869
|
|
| Table I: Average planarization
length determined for various representative process conditions
using optoacoustics. |
Measuring
Film Thickness after Initial Polish Step
Copper
CMP is often performed in two steps. In the first step, most of the
soft copper is cleared from the wafer using a copper-selective process.
The remaining copper and harder barrier film (tantalum, for example)
is then removed using an unselective process. It is important to optimize
film-thickness uniformity during the initial step; doing so minimizes
the amount of polishing needed in the second step, which, in turn, reduces
final dishing and erosion.
Figure
4 shows a typical example of how optoacoustic metrology can characterize
film thickness between these two polishing steps. Ideally, no copper
would remain after the first step. In the example shown, the initial
polishing of a blanket wafer did not completely remove the copper, as
is evident in the photo inset as well as the optoacoustic scan data
from across the diameter of the wafer. The remaining metal would have
to be cleared in the second polishing step. Intermediate optoacoustic
measurements such as this can be used to monitor the effectiveness of
the initial polish and optimize the second-step process conditions based
on those measurements.
|
|
| Figure 4: Diameter profile of the
remaining metal after the initial step of a two-step polish sequence
measured with an optoacoustic tool. Inset photo shows the wafer
with this diameter profile. |
The
optoacoustic technique can provide accurate film-thickness measurements
between polish steps. While reflectometry or ellipsometry can be used
to detect very thin residual layers at the completion of the CMP process,
they cannot be used on the thicker opaque metal layers remaining at
intermediate stages. Electrical measurements could be taken on blanket
wafers, but the presence of two surface metals (copper and tantalum)
with vastly different resistivities would present a challenge. Also,
as discussed earlier, profilometry provides useful data in some situations
but has a limited ability to show very gradual thickness variations
in long scans across the full wafer diameter. Therefore, optoacoustics
provides an effective complement to these other techniques for CMP process
optimization.
Measuring
Arrays of Metal Lines
The
uniformity of polish rates for different feature sizes and densities
is critical to the performance of copper CMP. This uniformity is usually
measured on arrays of copper lines of various sizes, from the smallest
interconnects to the largest. Both profilometry and optoacoustics are
capable of measuring the dishing and erosion of these structures that
are caused by overpolishing. For process development applications, where
speed is not an issue, both techniques can be used in a complementary
fashion. Profilometry can be used to characterize step heights and wafer
planarity over small regions with very high spatial resolution, while
optoacoustic metrology can provide average film-thickness measurements
across the wafer.
To
demonstrate the capability of optoacoustics to measure a variety of
feature sizes on patterned wafers, the researchers in this study performed
optoacoustic measurements on a range of structures with varying feature
width and density using the Sematech 854 wafer pattern. Results were
checked with profilometry. As shown in Figure 5, optoacoustics was used
to directly measure the thickness of the metal film or metal/oxide array,
while profilometry measured the step height between the field oxide
and the copper surface. It was assumed that the initial etching of the
oxide (to open the windows for metal deposition) stopped cleanly at
the etch-stop layer, so that the difference between the field oxide
thickness, measured with a reflectometer, and the profilometer step
height would equal the optoacoustic measurement (i.e., R P =
OA).
|
|
| Figure 5: Thickness dimensions
measured by optoacoustic (OA), reflectometer (R), and profilometer
(P) instruments in experiments on arrays of metal lines. |
Comparisons
of post-CMP measurements for two copper linewidths are shown in Figures
6 and 7. Figure 6 plots the measurements across a 1.25-mm-long array
of 0.25-µm-wide copper lines with 0.25-µm-wide oxide spaces
between them, and Figure 7 plots the measurements of a single 100-µm-wide
copper line. To determine the 0.25-µm line thickness, the optoacoustic
measurement was averaged over all the lines within the 25-µm probe
laser spot. The results were analyzed using a model that averages the
acoustic properties of the copper/oxide combination. As the figures
indicate, optoacoustic results for both line sizes correlated well with
the corresponding profilometry data.
|
|
Figure 6: Optoacoustic and profilometry
thickness measurements for a 1.25-mm-long array of 0.25-µm-wide
copper lines and oxide spaces.
|
|
|
| Figure 7: Optoacoustic and profilometry
thickness measurements for a 100-µm-wide copper line. |
Figure
8 shows an extension of this correlation for a range of other features
on the Sematech 854 pattern. The wafer samples contained linewidths
from 0.25 to 100 µm and included a range of pitches yielding different
densities. (The 854 pattern has a minimum linewidth of 0.18 µm,
but linewidths <0.25 µm could not yet be printed by the lithography
equipment on-line during these experiments.) Eleven representative structures
with densities from 25 to 90% were measured with both profilometry and
optoacoustics on each of two samplesone polished normally and
the other overpolished significantly. The resulting data are shown on
the figure as two points for each type of structure. As the line through
these points indicates, the correlation between the two measurement
methods was very close, with a standard deviation of only 112 Å
for the range of features, which demonstrates that optoacoustics can
characterize CMP performance on structures having the feature sizes
and densities commonly found on product wafers.
|
|
| Figure 8: Correlation of optoacoustic
thickness measurements (OA) with profilometry results (R
P) for 11 structures of varying linewidth, pitch, and density. Each
structure was measured on two wafers, one polished normally and
the other overpolished. The standard deviation was 112 Å. |
Figure
9 shows an example of the type of dishing/erosion process characterization
information that can be obtained with optoacoustic measurement. Four
structures with varying linewidths and line spaces were monitored with
the in-line tool over a wafer run consisting of two lots. Film loss
was determined for the center die of each wafer by measuring film thickness
and subtracting the result from the targeted initial trench depth. The
average film loss was lowest for the 0.25-µm features, larger for
the easily dished 50- and 100-µm lines, and greatest for the 9-µm-wide
copper lines with 1-µm spaces. The results shown in the figure
are typical for a variety of process conditions.
|
|
| Figure 9: Film loss at center die
on four different line arrays averaged over a wafer run of two lots. |
Verification
of the optoacoustic measurements was performed by correlating the measurements
with electrical test measurements on the line arrays. Like electrical
test results, optoacoustic measurements on line arrays are sensitive
to the total metal cross-sectional area. A change in either thickness
or linewidth is registered as a change in "effective" thickness. Figure
10 shows the correlation between the effective array film thickness
for a 0.25-µm 50% line/space array, measured with the optoacoustic
tool, and the inverse of the line resistance measured electrically.
Standard error of the correlation was only 0.9%. Investigation with
CD SEM on these samples showed that for the 0.25-µm-linewidth arrays
(the critical linewidth for the lithography system used), the edge die
had linewidths ~10% smaller than the center die, which explains why
these die appear at ~10% lower effective thickness in the correlation
plot.
|
|
| Figure 10: Correlation of optoacoustic
film-thickness measurements with electrical results for 0.25-µm-wide
lines in a 50% density array. |
The
use of optoacoustics can be easily extended to measuring arrays with
smaller linewidths than the example discussed here. Because the technique
measures the thickness of line arrays by treating the arrays as composite
copper/dielectric films, such analyses are valid whenever the instrument's
acoustic wavelength (410 µm for current-generation tools)
is longer than the linewidth. Thus far, optoacoustic tools have been
used on linewidths as small as 0.07 µm in proprietary studies.
In-Line
Process Control
Once
a CMP process has been optimized and implemented, process engineers
can use optoacoustics to track wafer-to-wafer thickness variations during
production. For example, Figure 11 shows wafer-to-wafer post-CMP copper-thickness
measurements performed by optoacoustics, profilometry, and electrical
resistance tests on a 100-µm-wide line in the Sematech 854 test
pattern. Despite the fact that all of the wafers measured had been subject
to the same deposition and CMP processes, the resulting data revealed
significant wafer-to-wafer thickness variations of ~10% of target. The
figure also shows that the optoacoustic and electrical resistance measurements
were in good agreement with each other, with a correlation standard
error of only 0.9%. Profilometry results correlated less well with the
other two techniques, perhaps because such measurements are much more
localized along a particular cross section of the metal lines.
|
|
| Figure 11: Post-CMP thickness trend
data for a run of ~45 wafers, comparing optoacoustic, electrical,
and profilometry results measured on a 100-µm-wide copper line.
The standard error in correlating optoacoustic to electrical results
was 0.9%. |
Conclusion
CMP
must be optimized to minimize both under- and overpolishing at various
process steps and variability in dishing and erosion for various feature
dimensions. Achieving good results requires careful process characterization.
This study showed that optoacoustics can provide process characterization
capabilities that complement those of such established methods as profilometry
and electrical testing. It can measure film thickness directly and rapidly,
with high spatial resolution, across long scans on either patterned
or blanket wafers. The technique enables process engineers to easily
characterize within-wafer polish uniformity, film profiles at intermediate
polish steps, and CMP planarization length. Because it can be used for
both solid pads and arrays of submicron lines and correlates well with
profilometry and electrical tests, optoacoustics also can be used to
monitor wafer-to-wafer post-CMP thickness trends during production.
Acknowledgments
The
authors would like to thank Josh Tower and Chris Moore of Philips Analytical
and Tamba Tugbawa of the Massachusetts Institute of Technology, all
of whom made valuable contributions to the joint research project. This
article is partially based on presentations made at the spring 2001
meeting of the Materials Research Society.
References
1. M
Gostein et al., "Thin Film Metrology Using Impulsive Stimulated Thermal
Scattering (ISTS)," in Handbook of Silicon Semiconductor Metrology,
ed. AC Diebold (New York: Marcel Dekker, 2001), 167196.
2. M
Gostein et al., "Non-Contact Metal Film Metrology Using Impulsive
Stimulated Thermal Scattering," in Characterization and Metrology
for ULSI Technology, ed. DG Seiler et al., American Institute
of Physics Conference Proceedings vol. 550 (Melville, NY: American
Institute of Physics, 2000), 478488.
3. R
DeJule, "Advances in Thin Film Measurement," Semiconductor International
21, no. 5 (1998): 5258.
4. P
Lefevre et al., "Direct Measurement of Planarization Length for Copper
Chemical Mechanical Planarization Polishing (CMP) Processes Using
a Large Pattern Test Mask," in Chemical-Mechanical Polishing Advances
and Future Challenges, Materials Research Society Symposium Proceedings
vol. 671 (Warrendale, PA: Materials Research Society, 2001), M4.4.1M4.4.6.
Michael
Gostein, PhD, is technology development manager at Philips Analytical's
optoacoustic metrology division in Natick, MA. He has used laser
diagnostics in the fields of semiconductor thin-film metrology and
the chemical physics of metal surfaces. Gostein is a member of the
American Physical Society and the Materials Research Society, and
has coauthored nearly 30 technical publications. He received a PhD
in physics from the University of Texas (Austin) in 1997. (Gostein
can be reached at 508/647-1100 or michael. gostein@philips.com.)
Paul
Lefevre is CMP business development manager for Fujimi in Elmhurst,
IL. Previously, he served as project manager for copper CMP at International
Sematech as an assignee from IBM. Lefevre is a member of the Materials
Research Society and has contributed regularly to technical conferences
on copper CMP. He received a BS in industrial engineering from the
Ecole Nationale Superieure des Arts et Metiers in Paris in 1990.
(Lefevre can be reached at 630/941-1400 or plefevre@fujimico.com.)

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