The process of deep texturization of the crystalline silicon surface is intimately related to its promising diverse applications, such as bactericidal surfaces for integrated lab-on-chip devices and absorptive optical layers (black silicon-BSi). Surface structuring by a maskless texturization appeals as a cost-effective approach, which is up-scalable for large-area production. In the case of silicon, it occurs by means of reactive plasma processes (RIE-reactive-ion etching) using fluorocarbon CF4 and H2 as reaction gases, leading to self-assembled cylindrical and pyramidal nanopillars. The mechanism of silicon erosion has been widely studied and described as it is for the masked RIE process. However, the onset of the erosion and the reaction kinetics leading to defined maskless patterning have not been unraveled to date. In this work, we specifically tackle this issue by analyzing the results of three different RIE recipes, specifically designed for the purpose. The mechanism of surface self-nanopatterning is revealed by deeply investigating the physical chemistry of the etching process at the nanoscale and the evolution of surface morphology. We monitored the progress in surface patterning and the composition of the etching plasma at different times during the RIE process. We confirm that nanopattering issues from a net erosion, as contributed by chemical etching, physical sputtering, and by the synergistic plasma effect. We propose a qualitative model to explain the onset, the evolution, and the stopping of the process. As the RIE process is started, a high density of surface defects is initially created at the free silicon surface by energetic ion sputtering. Contextually, a polymeric overlayer is synthesized on the Si surface, as thick as 5 nm on average, and self-aggregates into nanoclusters. The latter phenomenon can be explained by considering that the initial creation of surface defects increases the activation energy for surface diffusion of deposited CF and CF2 species and prevents them from aggregating into a continuous Volmer-Weber polymeric film. The clusterization of the polymer provides the self-masking effect since the beginning, which eventually triggers surface patterning. Once started, the maskless texturing proceeds in analogy with the masked case, that is, by combined chemical etching and ion sputtering, and ceases because of the loss of ion energy. In the case of CF4/H2 RIE processes at 10% of H2 and by supplying 200 W of RF power for 20 min, nanopillars of 200 nm in height and 100 nm in width were formed. We therefore propose that a precise assessment of surface defect formation and density in dependence on the initial RIE process parameters can be the key to open a full control of outcomes of maskless patterning.
The process of deep texturization of the crystalline silicon surface is intimately related to its promising diverse applications, such as bactericidal surfaces for integrated lab-on-chip devices and absorptive optical layers (black silicon-BSi). Surface structuring by a maskless texturization appeals as a cost-effective approach, which is up-scalable for large-area production. In the case of silicon, it occurs by means of reactive plasma processes (RIE-reactive-ion etching) using fluorocarbon CF4 and H2 as reaction gases, leading to self-assembled cylindrical and pyramidal nanopillars. The mechanism of silicon erosion has been widely studied and described as it is for the masked RIE process. However, the onset of the erosion and the reaction kinetics leading to defined maskless patterning have not been unraveled to date. In this work, we specifically tackle this issue by analyzing the results of three different RIE recipes, specifically designed for the purpose. The mechanism of surface self-nanopatterning is revealed by deeply investigating the physical chemistry of the etching process at the nanoscale and the evolution of surface morphology. We monitored the progress in surface patterning and the composition of the etching plasma at different times during the RIE process. We confirm that nanopattering issues from a net erosion, as contributed by chemical etching, physical sputtering, and by the synergistic plasma effect. We propose a qualitative model to explain the onset, the evolution, and the stopping of the process. As the RIE process is started, a high density of surface defects is initially created at the free silicon surface by energetic ion sputtering. Contextually, a polymeric overlayer is synthesized on the Si surface, as thick as 5 nm on average, and self-aggregates into nanoclusters. The latter phenomenon can be explained by considering that the initial creation of surface defects increases the activation energy for surface diffusion of deposited CF and CF2 species and prevents them from aggregating into a continuous Volmer-Weber polymeric film. The clusterization of the polymer provides the self-masking effect since the beginning, which eventually triggers surface patterning. Once started, the maskless texturing proceeds in analogy with the masked case, that is, by combined chemical etching and ion sputtering, and ceases because of the loss of ion energy. In the case of CF4/H2 RIE processes at 10% of H2 and by supplying 200 W of RF power for 20 min, nanopillars of 200 nm in height and 100 nm in width were formed. We therefore propose that a precise assessment of surface defect formation and density in dependence on the initial RIE process parameters can be the key to open a full control of outcomes of maskless patterning.
The concept of black silicon
(BSi) refers to the silicon surface
being patterned into high-aspect ratio nanopillars, conferring excellent
optical absorption and antireflection properties (black appearance)
due to efficient light trapping.[1−3] This quality may strongly contribute
to the overall efficiency of Si-based optoelectronic detectors and
photovoltaic cells.[4−6] In totally diverse application fields, the BSi morphology
results in antibacterial properties that make it appealing also for
biological and medical applications.[7,8] Surface nanopatterning
of silicon can be obtained with the aid of several techniques, namely,
laser ablation,[9] metal-assisted chemical
etching,[10] electrochemical wet etching,[11] and—last but not least—dry plasma
reactive-ion etching (RIE).[12−14] Fabrication by wet chemical etching
is simple and economical, but the increasing costs of waste treatment
disposal and environmental concerns made it less attractive over recent
years. Furthermore, since wet etchants are active preferentially along
a specific crystal orientation,[15] they
are not adequate to pattern the surface of multicrystalline silicon
(mc-Si), as it is typically the case, for example, for photovoltaic
mc-Si solar cells. Such a limitation can be overcome by surface laser
ablation via laser scanning, which however is a rather slow technique
and not very well suitable for large-scale production. Besides, laser
patterning can lead to material damage and defects that can affect
electronic transport properties.[16] In this
context, maskless dry RIE has emerged as a sustainable and cost-effective
method to fabricate BSi on a wafer scale. Typically, a fluorine-based
RIE process is used, which employs SF6 and O2 gases to generate fluoride and oxygen radicals (F* and O*) in the
plasma phase, with a mean lifetime longer than the bed residence time
so that ions reach the substrate while still being reactive. Successful
ultrablack silicon has been already obtained in a maskless RIE process
by using SF6 and O2 gases.[17,18] As F* radicals react with Si, the volatile compound SiF4 is formed and removed, resulting in surface etching. At the same
time, aggregates of the SiOF polymeric film are also formed and randomly deposited
over the surface. The polymeric film acts as a thin protection layer
from etching, thereby generating an automasking effect. However, the
passivation layer is then partly removed and perforated by the simultaneous,
biased ion bombardment. The trade-off between the formation of the
passivation layer and its removal typically limits its thickness to
around 2.5 nm, a value at which the chemical etching of the Si surface
with F* can still proceed.[19] The competition
between deposition of the passivation layer and its removal by energetic
ion bombardment also causes local variations in the etching rate of
the Si surface ending in random nanostructuring. The BSi morphology
can be adjusted by changing the RIE parameters, such as gas mixture
composition, flow rates, temperature, reaction time, substrate bias,
and RF power.[20] Different fluorine-based
RIE processes are also successful in obtaining BSi, provided that
they are still able to generate F* and passivation layers. Different
RIE recipes can also be used to fabricate BSi surfaces, which make
use of a CF4/H2 gas mixture, as described in
a previous work by some of the authors.[21] In the case being considered, while F* remains the etching agent,
O2 is replaced with H2 that acts as the passivating
agent and a scavenger for F*, so that volatile HF is formed and the
formation of a CF passivation layer is
promoted.However, although it is possible to form nanostructures
on the
Si surface with different gases and to control their growth by adjusting
plasma parameters, the detailed mechanism of the BSi maskless formation
by RIE in a CF4/H2 mixture has not yet been
identified. Thus, in this work, we present an experimental investigation
on the growth of nanostructures as a function of the process time,
focusing mainly on the initial steps of the process. We aim at unravelling
the key role of surface and interface chemistry in setting the initial
conditions for developing nanostructured morphology with a CF4/H2 gas mixture without a masking step. The study
was carried out by using the already optimized process parameters
as described in ref (19), that is, 200 W RF power, a reactive atmosphere at 10% H2, and 9 Pa as the working pressure.To prove our rationale,
we carried out three different experimental
procedures. By the first one, we investigated the evolution in nanopatterning
by analyzing samples obtained at different process times. In the second
one, we run a RIE process 20 min long but in a “start-and-stop”way,
by stopping it every 1 min to exhaust the plasma created during the
single time step before turning on the process again. In this way,
we could monitor the evolution in the composition of the plasma via
optical emission spectroscopy (OES), and we confirmed that the nanostructurization
is due to pure surface reactions and that the compositional evolution
of plasma plays no role. Accordingly, we focused our characterization
on the surface only. The third procedure consisted in placing the
Si specimen on the non-powered electrode and revealed the key role
of ion sputtering in the formation of the nanostructures since no
structurization occurred in the specimen positioned on the powerless
electrode.Based on the results of the experimental characterizations
of samples
as they will be described in the next session, namely, scanning electron
microscopy (SEM), atomic force microscopy (AFM), surface profilometry,
X-ray photoelectron spectroscopy (XPS), and time-of-flight secondary
mass spectrometry (ToF-SIMS), it was possible to infer the physical
chemistry of the maskless RIE process.In addition, UV–visible
reflectance spectroscopy was used
to test the optical properties of the final BSi morphology, and this
was correlated to the simulation results from a simple model, by taking
into account the shape of nanostructures.
Experimental
and Results
RIE Procedure no. 1
We name here
as the first procedure the study of the evolution
in the outcomes of the RIE process as its duration is varied while
keeping the same settings for the parameters. In this way, we investigated
the evolution in maskless nanopatterning by performing experimental
characterizations of samples obtained at different process times.
The experimental characterizations not only include morphological
and chemical–physical analysis of the etched Si surface but
also the assessment of the chemical composition of the reactive plasma.
Optical Emission Spectroscopy
The
evolution in the chemical composition of the reactive plasma has been
monitored along the etching procedure by OES, focusing on the content
in polymerizing precursor species (CF2) and in etching precursor species (F atoms). Results are shown
in Figure . Figure a shows a spectrum
in the 246–272 nm range, from which it is evident that the
main features belong to the CF2 (A1B1-X1A1) difluorocarbene band system, while the
continuum emission band underlying the CF2 bands is assigned
to the CF2+ (4b2-6a1)
electronic transition.[22] The presence of
CF2+ continuum emission suggests that a significant
population of energetic electrons (16.4 eV) is responsible for the
ionization of CF2 radicals by direct electronic impact
from the ground state. In addition to CF2 and CF2+ bands, F emission was observed in the 662–678
nm range, and the results are shown in Figure b. The CF2 and CF2+ bands and the atomic F lines were monitored continuously
in the second procedure process case. Their intensities were almost
constant (±12%).
Figure 1
OES signals from the reactive plasma (integration time
= 10 s),
(a) emission spectrum in the 248–272 nm range, and (b) emission
spectrum in the 703–705 nm range.
OES signals from the reactive plasma (integration time
= 10 s),
(a) emission spectrum in the 248–272 nm range, and (b) emission
spectrum in the 703–705 nm range.
Profilometry of the Etched Area
The etching
rate was evaluated by measuring an average value of etching
depth using a stylus profilometer. With this aim, the thickness value
on the etched area was compared to a reference value taken in correspondence
to a shielded portion of the specimen where the RIE was not effective. Figure is a schematic cross-sectional
representation of the status of the sample at any process time, although
reported values are relative to the case of 20 min etching. The smooth
and thick dark gray area represents the shielded portion of the sample,
and the rough and light gray part is the cross-section of the RIE-treated
area. An averaged etching depth of about 1.5 μm is reported,
with a peak-to-valley height of the pillars in the 250 nm range. Therefore,
the net process of structurization is an etching process, resulting
in a reduction of the overall thickness of the Si wafer. The average
etching rate is then computed as the amplitude of the step measured
using a profilometer across the treated–non-treated zone, divided
by the process time. As the process time increases, the etching rate
is not constant, as shown in Figure . Higher etching rate values are measured at short
process times (from 30 s to 1–2 min), and values decrease monotonically
as the process time increases, halving in 20 min.
Figure 2
Schematic representation
of treated and non-treated parts of the
Si surface after 20 min of plasma processing. An averaged etching
depth of about 1.5 μm is reported, with a peak-to-valley height
of the pillars in the 250 nm range.
Figure 3
Etching
rate and pillar growth rate vs time (error bars over five
measurements). The red lines are the values of the sum of the chemical
etching rate and physical sputtering estimated at the beginning and
at the end of the process (20 min) (see Section , Discussion). The blue horizontal line is
the contribution of the etching rate at the beginning obtained by
applying the Flamm formula (see the text).
Schematic representation
of treated and non-treated parts of the
Si surface after 20 min of plasma processing. An averaged etching
depth of about 1.5 μm is reported, with a peak-to-valley height
of the pillars in the 250 nm range.Etching
rate and pillar growth rate vs time (error bars over five
measurements). The red lines are the values of the sum of the chemical
etching rate and physical sputtering estimated at the beginning and
at the end of the process (20 min) (see Section , Discussion). The blue horizontal line is
the contribution of the etching rate at the beginning obtained by
applying the Flamm formula (see the text).
Surface Morphology by High-Resolution SEM
The evolution in surface morphology has been monitored from the
HiRES SEM images taken at different process steps and is shown in Figure a (top views) and 4b (cross-sectional views). As shown in Figure a, at 30 s of the
plasma process, an “island-like” morphology is visible,
featuring a clusterized nanostructurization in a few areas and a low
density of isolated nanostructures. After 60 s of etching, surface
patterning becomes more homogeneous over the surface, although nanostructures
are still quite small. The shape and height of nanostructures can
be observed in SEM cross-sectional images and tilted views in Figure b. After 6 s of RIE,
the height of the structures can be evaluated in the 10–40
nm range, while their shapes are not clearly defined yet.
Figure 4
SEM images:
(a) top view and (b) cross-section (left) and tilted
(right) for samples obtained after 30 s, 1, 2, 5, 15, and 20 min of
plasma processing.
SEM images:
(a) top view and (b) cross-section (left) and tilted
(right) for samples obtained after 30 s, 1, 2, 5, 15, and 20 min of
plasma processing.After 2 min of RIE, nanostructures
turn into pyramid-like pillars
of defined morphology, although of uneven height, with an average
value of about 40 nm tall and a few pillars exceed 100 nm. As RIE
proceeds, patterning gains homogeneity in both pyramidal shape and
height, and an average height of about 100 nm is reached (5 min of
RIE). As the etching time is increased above 15 min, the pyramids
start to widen at their bases as it is clearly visible in top-view
and cross-sectional images of Figure b. For instance, after 15 and 20 min of etching, the
pillars measure, respectively, 190 and 200 nm in height and about
80 and 100 nm in width at their bases. A pillar growth rate (nm/min)
can therefore by estimated by dividing the pillar height, as estimated
from the cross-section images, by the process time. Similar to the
trend in the etching rate, the pillar growth rate also decreases with
process time, with a halving time of about 20 min.
Surface Morphology by AFM
A better
insight into the process of nanopatterning has been obtained by AFM
inspection of the sample surface at 30 s, 60 s, 5 min, 15 min, and
20 min process times. Figure reports the AFM morphological surface maps taken over a 5
× 5 μm2 probed area. A uniform growth of nanostructures
can be directly appreciated, apart few exceptions.
Figure 5
AFM topography images
for samples obtained after 30 s, 1, 5, 10,
15, and 20 min of plasma processing.
AFM topography images
for samples obtained after 30 s, 1, 5, 10,
15, and 20 min of plasma processing.
Chemical Analysis on the Surface by XPS
XPS was performed to provide a chemical analysis of the textured
Si surfaces after RIE processing. Survey and high-resolution spectra
of C, F, Si, and O were acquired and then deconvolved to obtain information
on the chemical species deposited. C, F, Si, and O were the only elements
detected in the survey spectra. The evolution of C 1s, F 1s, Si 2p,
and O 1s core-level lines with process time, along with their components,
is presented in Figure a–d. By assigning a chemical species to each component of
the fitting[23−27] as presented in Table , it was possible to observe a shift in the binding energy (BE) of
the species of the order of 0.2–0.3 eV at different times along
the RIE process. Besides, it is well known that CF and C–CF components are fingerprints of a fluoropolymer
deposition, while SiF components can
only be the fingerprint of a chemical etching. There is also the presence
of intermediate species Si–CO and SiC–OH throughout
the process time. Although the levels of oxygen and silicon decrease
progressively with time, the levels of carbon and fluorine increase.
The relative concentration of each species has then been calculated
by using the atomic sensitivity factor, and the respective trends
are reported in Figure . As shown in Figure a, the ratio (SiF + SiF3)/(CF + CF2) increases
almost linearly in time. More complex trends are instead shown by
the ratios F/Si, C/Si, and F/C in Figure b and for the ratios SiF/Si, SiF3/Si and SiO2/Si in Figure c.
Figure 6
Time evolution of core-line high-resolution spectra for:
(a) C
1s, (b) F 1s, (c) Si 2p, and (d) O 1s.
Table 1
Identification of
the Chemical Species
to Each Contribution of the High-Resolution Core Lines Obtained with
the Fitting
element
BE (eV)
BE (eV)
BE (eV)
BE (eV)
BE (eV)
BE (eV)
C 1s
283.9
285.1
286.5
288
289.8
293.2
C–C
C–O–Si
C-CF
CF
CF2
CF3
Si 2p
99.7
100.6
102.1
103.5
Si
SiF/SiC
SiF3
SiO2
F 1s
685.3
686.7
688.1
689.4
SiF3
SiF
C F2
CF
O 1s
531.5
532.7
534
Si–COH
SiO2
C–O–Si
Figure 7
Atomic
concentration ratios as functions of plasma processing time
(a) (SiF + SiF3)/(CF + CF2), (b) F/Si, C/Si
and F/C, (c) SiF–SiC/S, SiF3/Si, and SiO2/Si. LFP: low-fluorine polymer growth regime following the definition
in ref (32). See text
below.
Time evolution of core-line high-resolution spectra for:
(a) C
1s, (b) F 1s, (c) Si 2p, and (d) O 1s.Atomic
concentration ratios as functions of plasma processing time
(a) (SiF + SiF3)/(CF + CF2), (b) F/Si, C/Si
and F/C, (c) SiF–SiC/S, SiF3/Si, and SiO2/Si. LFP: low-fluorine polymer growth regime following the definition
in ref (32). See text
below.
Chemical Analysis by ToF-SIMS
It
is well known that SIMS technique is complementary to XPS for the
ease of getting depth profiles and because it can reveal directly
the presence of hydrogen. The mass spectra from the BSi samples obtained
at different process times show the presence of variety of ions, molecular
ions, and clusters such as SiO2–, SiO2F–, SiC–, SiCO–, C2F–CF–, CF2–, CF3–, Si3F–, CH–, C2H2, SiH–, H+, C2H+, C2H2+, SiHO+, SiOCs+, and Si ++, in addition to Al+, Na+, and F+, as surface contaminants.
The surface chemical characterization is in agreement with the finding
of XPS. In addition, ToF-SIMS spectra reveal the ions and molecules
containing H and show the interaction of H2 with the surface.ToF-SIMS analyses of the two-dimensional spatial distribution of
different species on the surface was performed in all samples over
an area of 10 × 10 μm2. Figure reports the results for the 20 min-treated
sample, as SIMS maps of the F–,SiF3–, and CF2– signals, for
an analyzed depth of 1–2 nm. The heterogeneous distribution
of F-related signals reveals the presence of F-covered agglomerates
of diameter 0.5–1.5 μm. Besides, the agglomerates of
F– and SiF3– species
are spatially coincident. In spite of the low sensitivity for the
CF2 cluster, the spatial coincidence between map (c) and
maps (a) and (b) can also be inferred. It has to be noticed that the
presence of an island-like distribution of the fluorinated species
becomes evident only in the 20 min treated sample due to limited spatial
resolution of SIMS technique. Therefore non-uniform deposition of
C–F species and heterogeneous surface chemistry, under the
present experimental conditions, must occur right from the beginning
ending with subsequent nanostructuring.
Figure 8
ToF-SIMS images of the
distribution of secondary ions from the
surface of the 20 min-treated sample recorded from a 10 × 10
μm large area. (a) Distribution of F– ions
(signal at mass 19 total count 8.662 × 106), (b) distribution
of SiF3– ions (signal at mass 103 total
count 1.589 × 105), and (c) distribution of CF2– ions (signal at mass 50 total count 8.396
× 103).
ToF-SIMS images of the
distribution of secondary ions from the
surface of the 20 min-treated sample recorded from a 10 × 10
μm large area. (a) Distribution of F– ions
(signal at mass 19 total count 8.662 × 106), (b) distribution
of SiF3– ions (signal at mass 103 total
count 1.589 × 105), and (c) distribution of CF2– ions (signal at mass 50 total count 8.396
× 103).ToF-SIMS depth profiling
reveals the molecular structure of the
pillars. Depth profiles for all samples were carried out using a 30
keV Bi+ beam for analysis and with a 2 keV Cs+ beam for sputtering.[28]Figure shows a typical ToF-SIMS depth
profile of the signals of the CF–, CF2–, and CF3– ions obtained
for the BSi sample treated for 10 min. The sputtered depth is calculated
from the sputtering rate measured on a reference sample. The CF–, CF2–, and CF3– signals are evidently originated from the region
of nanopillars, showing that the pillars are covered with the C–F
layer. On the top of the pillars, there is a layer about 4 nm thick
enriched in CF2 and CF3 molecules, which can
be recognized from high peaks in the CF2 and CF3 curves in Figure . The CF2 molecules may cover also a side wall of pillars
as it can be inferred from the plateau of the CF2– signal in the depth region between 5 and 50 nm. The plateau in the
CF2 signal at a depth of about 55 nm suggests that a deposition
of this type of molecules may occur at the bottom of the valley. The
CF– curve indicates a gradient concentration dependence
of the CF– molecules along the pillar length. From
the ToF-SIMS depth profile in Figure , the thickness of the pillar layer may be estimated
to be about 80 nm, which roughly corresponds to that measured by SEM
(120 nm). The difference may be attributed to the sputtering yield
of the Cs+ ion beam on the Si–F–O–C
mixed material, which may differ from that measured on the reference
SiO2 material. In Table , we report the thickness of the C–F layers
coating the pillars, as obtained from SIMS depth profiles similar
to those shown in Figure . The CF layer reflects the thickness of the pillar layer
since this species cover whole length of the pillar. The thickness
of the CF2 top layer reflects the covering of the nanostructured
surface. As such, one has to think that, once the ToF-SIMS starts
to probe the surface at time 0, the CF2 detected is the
sum of the contributions present at the top layer of the nanopillars
and in the valleys in between.
Figure 9
ToF-SIMS depth profile of the CF–, CF2–, and CF3– ions obtained
on the BSi sample treated for 10 min. Only relevant signals are shown
in the profile.
Table 2
Thickness of CF Layers Measured by ToF-SIMS
Depth Profiling
treatment time (min)
F– (nm)
CF– (nm) overlayer
CF2– (nm) overlayer
layer (nm) by SEM
0.5
3
2
0.5
1
6
3
0.8
2
19
5
3.5
40
5
46
17
3.9
100
10
78
32
4.2
15
108
49
4.2
190
20
205
84
5.2
200
20 start-stop
154.7
94
5.8
ToF-SIMS depth profile of the CF–, CF2–, and CF3– ions obtained
on the BSi sample treated for 10 min. Only relevant signals are shown
in the profile.
Procedure
2
In the second procedure,
an RIE process 20 min long was run in a “start-and-stop”way,
characterized by 1 min-long active time steps and intervals to exhaust
the plasma created during the single time step before turning on the
process again. This enabled us to monitor the reactive plasma via
OES to check for a possible evolution in its composition that might
affect surface nanostructurization.Figure shows the AMF
topographic image of the sample obtained after a 20 min “start-and-stop”
procedure, compared to what is obtained in samples exposed to a 15
min and a 20 min continuous RIE process (first procedure). The mean
size of the nanostructures in the “start-and-stop” sample
is comparable to that obtained in the 15 min case, whereas the heights
are comparable to those obtained in the 20 min case.
Figure 10
Comparison of AFM topography
images among the start-and-stop test
(left) and 15 min (center) and 20 min (right) continuous process times.
One can immediately notice that the mean size for the start-and-stop
case is in agreement with that of the 15 min case, while the height
size is closer to that for the 20 min case.
Comparison of AFM topography
images among the start-and-stop test
(left) and 15 min (center) and 20 min (right) continuous process times.
One can immediately notice that the mean size for the start-and-stop
case is in agreement with that of the 15 min case, while the height
size is closer to that for the 20 min case.
Procedure 3
The third RIE procedure
consisted in placing a reference Si specimen on a non-powered (grounded)
electrode and comparing the results between powered and non-powered
electrodes to check the definite role of ion sputtering in the formation
of the nanostructures.
Morphology by High-Resolution
SEM
Figure shows SEM
images of the surface morphology and cross-section of a sample placed
on the grounded electrode and exposed to the reactive gas, after a
10 min-long RIE process at the same parameters as for the powered
electrode case. Again, a portion of the sample was shielded from the
RIE using a narrow strip of silicon (2 mm wide and 20 mm long) to
compare treated and non-treated zones. In the composite cross-sectional
view of Figure a,
three different morphologies are noticeable in correspondence to three
zones: the shielded area (left) shows a smooth Si surface, and the
surface in the transition zone located at the edge of the mask (center)
has an overall rough appearance, similar to that of the treated zone
(right). Peak-to-peak roughness in the tens of nanometer range can
be estimated. We speculate that in the transition zone, the silicon
might have been locally etched with F atoms, able to leak in the gap
between the mask and the silicon. The treated surface exhibited the
same surface morphology, but in this case, a thin fluorocarbon layer
might have grown and covered the roughened Si. The deposition of a
fluorocarbon layer of a few tens of nanometer thick is actually confirmed
from the SEM cross-sectional image of Figure b. The top view in Figure c refers to a region where nano-scratches
in the cover film unveils the underlying roughened surface of the
Si wafer.
Figure 11
High-resolution SEM images of surface morphology of a Si sample
exposed on the ground cathode and processed for 20 min. (a) Cleaved
cross-sectional images refer respectively to a masked zone (left),
showing a smooth polished surface of pristine Si wafers, to the transition
zone (center), showing an increase in surface roughness, and to a
coated region (right), again showing roughness of comparable quality.
(b) Cross-section in the coated region, where the deposition of a
layer a few tens of nanometer in thickness is evident. (c) Top-view
image, showing the evident texturization of both the coated surface
and of the Si underneath it.
High-resolution SEM images of surface morphology of a Si sample
exposed on the ground cathode and processed for 20 min. (a) Cleaved
cross-sectional images refer respectively to a masked zone (left),
showing a smooth polished surface of pristine Si wafers, to the transition
zone (center), showing an increase in surface roughness, and to a
coated region (right), again showing roughness of comparable quality.
(b) Cross-section in the coated region, where the deposition of a
layer a few tens of nanometer in thickness is evident. (c) Top-view
image, showing the evident texturization of both the coated surface
and of the Si underneath it.
Discussion
Since the intensity of the
monitoring OES signals from the reactive
plasma remains constant during the process time and similar surface
morphologies are issued from the 20 min RIE process run in procedure
n.1 (continuous) and n.2 (“start-and-stop”), we derive
that the nanopatterning of Si is not ascribable to changes in plasma
chemistry but merely to phenomena occurring on its surface. Therefore,
our discussion will focus on the chemical and physical interactions
of the species on and with the surface.
Etching
Rate
The black solid line
in Figure plots the
measured evolution in the etching rate with the duration of RIE. It
is experimentally evident that the etching rate slows along the RIE
process. Under 10% H2 in the plasma mixture, the etching
rate measured at 10 min (80 nm/min) matches the results by Coburn.[29] The present results can be discussed in the
light of studies previously reported in the literature by assuming
that the overall etching rate is contributed by both the chemical
etching and the physical sputtering. The major contribution to the
chemical etching is given by the neutral F atoms. Assuming a F concentration
of 1015 cm–3, typical for the RIE process
with CF4 plasma and a substrate temperature of 300 K, an
etch rate of about 95 nm/min is obtained by applying the Flamm formula.[30] With regard to the physical sputtering, it was
demonstrated via mass spectrometry by Booth and co-workers that, in
a pure CF4 plasma at 200 mTorr and 100 W, the two most
abundant ionic species are CHF2+ and CF3+.[31] They estimated
a total ion flux at the powered electrode of the order of 8 ×
1015 cm–2 s–1. On the
other hand, Lejeune showed that for a CF4 plasma at much
lower pressure (10–4 mbar), the predominant species
is CF3+.[32] With the only purpose
to estimate the physical sputtering rate, we assume that the predominant
species in our mixture is CF3+ and that the
physical sputtering is given by this ionic species only. In our case,
the ion flux could not be directly measured via a Langmuir probe due
to the relatively high pressure. However, thanks to the above simplification,
it can be estimated with the aid of the following formula suggested
by Booth[31]In eq , Pin is the power dissipated
into the discharge, A is the power electrode area,
Γion, is the ion flux, and Vbias is the dc self-bias of the electrode. Taking into consideration
that the real power dissipated into the discharge is much lower than
the input power, according to Booth,[30,33] we can admit
that Pin is about one-third of the input
power. For a 200 W discharge at Vbias =
830 V and a round electrode of diameter equal to 10 cm, we have Γion = 6.06 × 1015 cm–2 s–1 or a current density of 0.96 mA cm–2. The simulation ran by Mayer and Barker[34] at Vbias = 860 V gave a sputtering rate
of less than 20 nm/min/(mA/cm2) and that in our case issues
a value of ∼10 nm/min. The sum of the two factors accounts
for a total etching rate of 105 nm/min at the onset of the process
(reported as a straight blue line as a guide for the eye in Figure ). The difference
in reaching the experimental value is ascribed to synergistic effects
typical of RIE processes.[35,36]The similar functional
trends shown by the temporal evolution in
the etching rate and in the pillar growth rate, both reported in Figure , suggest that the
decrease in the etching rate with process time merely proceeds from
a change in surface chemistry and morphology. As a first guess, a
very simple estimate can be carried out by looking at the increase
in the actual surface area. As such, the final chemical etching contribution
at the end of the process can be estimated simply by assuming a uniform
growth of perfect cylindrical pillars of 200 nm height with a radius
of 100 nm, which gives an increase in the exposed surface of 3.8 cm2 every cm2 of the initial sample surface, reducing
the chemical etching to 19.7 nm/min. However, a more precise estimate
must take into account the increase in the area covered by the passivation
layer along the process time that reduces the chemical etching. The
difficulties arise because there is no technique with the lateral
resolution able to detect such small areas covered with the fluoropolymers.The decrease in the physical sputtering rate with the pillar growth
is not as straightforward to be evaluated as for the chemical etching.
If only the decrease in the chemical etching rate is considered and
by adding the same initial contribution for synergistic effects, the
total etching rate at the end of the process is about 65 nm/min. This
is indicated by the bottom red line in Figure . Generally speaking, one can say that the
initial and final global etching rates are within the range estimated
on the basis of available data and simplifications of the case. However,
it is opinion of the authors that some values of the parameters used
above may lead to overestimation of the etching rate. In fact, a concentration
of the F neutral atoms of 1015 cm–3 refers
to a pure CF4 plasma and does not take into account the
scavenging effect of the H atoms for a CF4/H2 mixture to form HF neutrals. Finally, the pyramid-like shape of
the pillars described in Section is likely to increase the net surface area with respect
to the cylindrical-shaped pillar used to estimate the increase in
the surface area.
Evolution in the Chemical
Composition on the
Surface
XPS
The results of XPS characterization
reveal that in addition to the CF species,
also C–O–Si, SiC, and C–C components are always
present, meaning that both Si and SiO2 are continuously
being etched. This suggests possible reactions liketo be always present during the process. However,
the intensity of the O 1s core line decreases with the process time,
corresponding to the sputtering away of SiO2 on the Si
surface and suggesting that the contribution to O2 as impurities
does not play a major role.Regarding the evolution of the fluorocarbons,
even though from Figures and 7 one can deduce that fluorocarbons
are continuously deposited during the process, it appears from Figure a that the coverage
of the area etched with F increases with respect to that of the fluoropolymer
(CFP) deposited. A further insight into the evolution of the process
is provided by the atomic ratio F/C presented in Figure c. According to the classification
by Marks,[32] our process can be identified
as starting with a low-fluorine polymer and ending as a true RIE process.
However, our maskless process ends with an extremely high F/C ratio
(about 1.5)[34,37] (highly fluorinated polymer)
with a low expected geometrical aspect ratio.The chemical characterizations
of silicon texturized with fluorocarbon
gases previously reported in the literature are related to masked
processes. For example, a rather comprehensive work was carried out
by Joubert et al.,[38−40] and our results show a substantial agreement with
it, in terms of the chemical species identified therein.Moreover,
from the perspective to explain the grow mechanism in
the maskless case, some further useful results have to be considered,
albeit with the due reserve.The first is that, given the fluorocarbon
gas, the etching stops
at a particular value of aspect ratios for the pillars. In a masked
process, the chemical etching of F stops at the bottom of the holes
because of the deposition of a thick fluoropolymer layer (≥5
nm).[38−40] The proposed rationale is that as the etching proceeds
and the aspect ratio increases, the loss in power density at the bottom
of the features is such that the etching regime changes from chemical
sputtering to fluorocarbon suppression and finally to a deposition
regime. Since it is only a matter of aspect ratios, it is reasonable
to think that the same rationale also holds for the present maskless
process. Therefore, since structures with a more complex geometry
are formed as the texturization proceeds, it is also reasonable to
assume that the power density loss is higher in our case and therefore
that the final aspect ratio is lower than that reported in refs (38)–[40], as it is actually observed.
Further tests, not reported here for brevity, with the total RIE process
time extended to 30 min confirmed that the texturization did not proceed
further than that reached in the 20 min case.Second, in a masked
process, the polymer deposition rate increases
with the aspect ratio and is higher at the edge than at the center
of contact holes. Etching stops because of the deposition of the fluorocarbon
polymer, and it stops at the edge of the holes sooner than at their
center. Such important results were obtained by using a charge neutralizer
gun in the ON–OFF mode so that it was possible to separate
the XPS signals coming from the photoresist surfaces and from the
surface of the contact holes.[36] Evidently,
in the present case of maskless processes, the same procedure is not
applicable. Nevertheless, a similar mechanism has to be invoked also
in the present case in order to explain why the texturization proceeds
up to the final aspect ratio.It also needs to be noticed that
a typical value for the practical
effective attenuation length (EAL) λ of the Si2p electron
in a fluoropolymer overlayer film, like Teflon, is about 4 nm[41] and that XPS analysis probes over 3λ in
depth. This means that it is not possible to clearly discern between
a Si-free surface and the one covered with a 12 nm-thick overlayer
of such a fluoropolymer. This, along with the fact that a fluoropolymer
thickness of 2.5 nm still allows Si to be etched with F, suggests
that the coverage of Si and SiO2 is with a fluoropolymer
overlayer not thicker than 2.5 nm. This coverage increases with the
process time by the etching of F. Figure c indicates that a transient regime sets
on (2 min) before a steady state is reached. The occurrence of such
transients is known and explained by the occurrence of non-linear
phenomena where deposition and removal rates of CF by ion sputtering
depend only on its thickness. When the dose of the predominant sputtering
species is below 1017 cm–2, like in our
case, etching of SiO2 with few nanometers of the C–F
overlayer occurs.[42,43]The distribution of the
CF– and CF2– species
along the depth profiles was provided
by ToF-SIMS analysis.As one can see from Table CF2 never extends
beyond 5 nm, while the CF– species seems almost
distributed along the whole depth. Besides this, it is also worth
noticing that the difference in the depth distribution is established
starting from the case of the 5 min-long process and for longer cases.
Growth Model for the Onset
of BSi Texturing
By combining the results from XPS and from
ToF-SIMS analyses, a
growth model for the BSi patterns is proposed. In Figure , a schematic representation
of the chemistry of the structures at the end of the process is sketched
by assuming for simplicity that regular cylindrical pillars are formed.
Figure 12
Schematic
representation of the proposed growth model. On the top
and valley of the structures, a rather thick film (red) of fluoropolymer
blocks the chemical etching. Physical sputtering at the valleys ceases
loss of energy by multiple reflections.
Schematic
representation of the proposed growth model. On the top
and valley of the structures, a rather thick film (red) of fluoropolymer
blocks the chemical etching. Physical sputtering at the valleys ceases
loss of energy by multiple reflections.At the beginning, a fluoropolymer layer of CF and CF2 about
5 nm thick is deposited on the surface in the form of islands,
as defined by the fluorocarbon deposition regime. Under the fluoropolymer
islands, the chemical etching of Si or SiO2 with the F
neutrals is stopped, while the thickness of the layer depends on the
equilibrium between the rate of physical sputtering CF3+ and the rate of fluoropolymer deposition. Outside the
islands, chemical etching and physical sputtering lead the texturization
to proceed up to a defined aspect ratio. The lateral surface of the
pillars may be covered with a thin layer of only 2 nm of CF, allowing
the Si etching with F to proceed (fluorocarbon suppression regime).The defined aspect ratio is reached at the point when the loss
in density and energy of etching ions, caused by multiple reflections
at the walls, is such that the physical sputtering of the fluoropolymer
deposited on the valleys ceases. Again, a 5 nm-thick fluoropolymer
layer of CF and CF2 is deposited on the valley too and
chemical etching at the valleys stops.A detailed study on the
ion energy loss at the valley, which is
necessary to observe the etch stop at high aspect ratios, can be found
in ref (44). Even though
the simulation reported therein refers to a masked process, once the
morphology of the texturization is defined, the mechanism of ion energy
and density loss at the bottom of the features proceeds, regardless
of whether the process started masked or maskless, so that the same
mechanism can be invoked to explain the etch stop.By assuming
this growth model, one can notice that conceptually
there are no substantial differences between a maskless and a masked
process. Therefore, we are left with the final point to be discussed,
which is the mechanism of nucleation of thick fluoropolymer islands
on the surface that triggers the maskless process. Based on the results
of XPS and ToF-SIMS and on SEM images, which revealed that in the
case of exposure on the grounded electrode, a uniform fluoropolymer
film is deposited without any nanostructurization, we propose a scheme
for the island formation on the surface, which is illustrated with
the aid of Figure .
Figure 13
Schematic representation of the initial stage of growth of the
structures. On the bare surface (green area), the activation energy
(Ea) for surface mobility is too high
and CFP radicals cannot diffuse to bridge the islands (red). As a
consequence, both chemical etching and physical sputtering are active
and the texturization starts.
Schematic representation of the initial stage of growth of the
structures. On the bare surface (green area), the activation energy
(Ea) for surface mobility is too high
and CFP radicals cannot diffuse to bridge the islands (red). As a
consequence, both chemical etching and physical sputtering are active
and the texturization starts.The deposition of the fluoropolymer thin film starts by following
a disordered island structure growth scheme (Wolmer–Weber type),
as also shown in SEM images (Figure a, cases at 30 and 60 s). The coalescence stage, at
which islands should merge to form a uniform film, is suppressed because
of the induced effect of highly energetic ion sputtering that reduces
the surface mobility of adsorbed species (lattice defects, ions implanted,
and a-Si) by increasing its activation energy. At initial process
times (<15 min, see Figure b), the chemical sputtering proceeds at different rates between
polymer-covered and -uncovered areas. Starting from 15 min, what can
be properly called the “RIE regime”, a polymer layer
of 5 nm is formed and the nanostructurization ceases. In order to
corroborate this rationale, we recall that Ekaterina invoked a passivating
layer as well to trigger the nanostructurization of ultrablack silicon
by RIE but using SF6 and O2 gases.[45]
Rationale for the Pyramid-like
Shape of the
Nanostructures
We ascribe the formation of this type of structure
to the different effects of ion bombardment on the top and on the
side walls of the growing nanostructures. In fact, the top of the
pillars is exposed to the full angular distribution of the ion trajectories,
whereas the side walls can be reached only by ions with trajectories
closely perpendicular to the side walls. Therefore, since the sides
of the structures are subjected to a less efficient ion sputtering,
they become covered with a thicker CF layer, so that the etching with F* is reduced. As the aspect ratio
increases, the etching of the lower part of the structures becomes
increasingly less efficient, resulting in a pyramidal shape. This
also confirms the prevailing role of the F radical and thus of the
etching process within the first few minutes.The pyramid structure
permits also to explain the reduced reflectivity typically observed
with BSi, Figure . The reflectivity curves measured from unprocessed Si wafers and
BSi wafers are presented in Figure a. A simple cascaded-matrix model was used to calculate
the optical reflectivity of the wafer in the visible and near-infrared
range. The pyramid structure on a semi-infinite Si substrate was modeled
using the effective medium approximation,[46] considering that the dimensions of the nanostructure are smaller
than the wavelength of interest. The corresponding calculated curves
are presented in Figure b, where significant reduction in reflectivity is observed
when the Si multilayer includes a layer whose effective index represents
200 nm-high pyramids, qualitatively reproducing the experimental results.
A more detailed optical modeling of the geometrically non-regular
nano-structured layer obtained with a maskless process would require
a sophisticated and time-consuming numerical analysis. On the other
hand, the simple method considered here permits the assessment of
the reflectivity by varying the layer thickness, obtaining a qualitatively
satisfactory representation of the structure of interest.
Figure 14
Reflectivity
(a) measured at different etching process durations
and (b) reproduced by a simple cascaded-matrix optical model considering
200 nm-high pyramids: unprocessed Si wafer reflectivity (green) and
BSi wafers (red).
Reflectivity
(a) measured at different etching process durations
and (b) reproduced by a simple cascaded-matrix optical model considering
200 nm-high pyramids: unprocessed Si wafer reflectivity (green) and
BSi wafers (red).
Conclusions
Black silicon samples have been obtained by a maskless RIE process
using a CF4 + 10% H2 gas mixture with 200 W
RF power. In order to elucidate the mechanism of surface nanopatterning,
three different exposure procedures have been run, and their results
have been compared. The first procedure consisted in exposing the
samples to the reactive plasma for different times up to a maximum
of 20 min. The second one consisted in treating the samples for 20
min altogether, but stepwise, 1 min at a time and pumping away the
exhausted mixture at the end of each time step while keeping the same
process parameters at each step. The purpose of the second procedure
was to avoid exposure to reactive species possibly formed by the plasma–surface
interactions that could themselves contribute to the nanopatterning
process. The third procedure consisted in exposing a sample placed
over the grounded electrode for 20 min, under the same parameters
as of the first procedure, in order to remove the etching contribution
due to the physical sputtering of the accelerated ions. AFM results
on samples exposed via the first and second procedure showed the same
morphology. This fact, along with the OES results, allowed us to say
that there were no changes in the plasma chemistry during the treatment,
which could contribute to the change in surface morphology during
the nanostructurization.Therefore, we could focus our attention
only to what occurred on
the surface of the samples at different process times. A thorough
investigation by SEM, AFM, XPS, and ToF-SIMS suggested that surface
texturing in a maskless process proceeds and ceases via the same mechanisms
as for a masked process, provided one can explain the mechanism of
initial formation of the islands of fluoropolymers, which eventually
trigger the nanostructurization.Combining the XPS and ToF-SIMS
results, we propose that CF and
CF2 islands of fluoropolymers about 5 nm thick are initially
deposited in a Wolmer-Weber-type scheme. Such a thickness is sufficient
to stop the fluorine chemical etching of silicon on the surface below
the islands, while on the free silicon surface, chemical etching and
physical sputtering are very effective and nanostructurization can
take place. Meanwhile, the energetic ions impinging on the free silicon
surface could induce a high enough density of surface defects to increase
the activation energy for surface diffusion of CF and CF2 species, thus preventing coalescence and the formation of a uniform
fluoropolymer layer. Instead, the SEM inspection clearly showed that
in the case of silicon samples exposed on the grounded electrode,
a thin uniform layer is formed and no nanostructurization took place.The net process is of erosion. The erosion is due to three contributions.
One is due to chemical etching, one due to physical sputtering, and
one due to the synergistic effect by the plasma. The erosion rate
and the pillar growth rate decrease rapidly with time. Thanks to the
fact that the plasma chemistry does not change during the exposures,
one can assume the contribution of synergistic effects to remain unvaried.
A simple estimate of the final etching rate was carried out by evaluating
a decrease in the chemical etching rate due to the increase in the
surface area because of the growth of the nanopillars. The addition
of a constant contribution of synergistic effects leads to estimation
of a final erosion rate that is in accordance with the experimentally
measured value. This further corroborates the model proposed where
physical sputtering ceases at the end of the process. As time increases
along the process, the shape of nanopillars deviates from cylindrical
to pyramid-like. This can be explained on a simple rationale based
on the different ion bombardment effects on the top and on the side
walls of the growing nanostructures. Present findings contribute detailed
knowledge of the mechanisms that rule maskless RIE patterning of black
silicon surfaces, therefore providing a tool in view of fully mastering
and exploiting the process.
Experimental Section/Methods
Experimental Apparatus
An RF plasma
system[47] was used to produce a physical
structuring of silicon (type P, dopant B, ⟨100⟩, 0.01–0.02
Ω cm, 1 × 1 cm2, and thickness = 400 μm).
The experimental apparatus consists of a parallel plate, capacitive-coupled
system, in a cylindrical stainless-steel vacuum chamber with an asymmetric
electrode configuration. The powered electrode (3 in. diameter) was
connected to an RF (13.56 MHz) power supply, coupled with an automatic
impedance matching unit, while the other stainless-steel electrode
(3 in. diameter) was grounded. Si substrates were placed on the powered
electrode at 6 cm away from the ground electrode. Before starting
the process, the Si samples were cleaned with ethanol and dried with
dry compressed air to remove surface contaminants. The process chamber
was pumped to a base pressure below 1 × 10–5 Pa; then, high-purity CF4 (99.9%) and H2 (99.99%)
gases (10% H2) were introduced into the chamber using a
mass flow controller to achieve the desired working pressure, which
was fixed at 9 Pa.
Methodology
In
order to understand
whether the nanostructuring depends exclusively on the surface morphology
or also on the formation of new reactive species in the plasma phase,
created by the interaction with the surface, two different experimental
procedures were followed to study the effects of the plasma chemistry
on the growth of the nanostructures. The first one was to treat the
Si surface with the plasma continuously at different exposure times
(0.5, 1, 2, 5, 15, and 20 min). The second one was to expose the Si
surface to the plasma for a net total time of 20 min but with cycling
between 1 min of plasma treatment and 1 min of pumping of the exhaust
mixture (start-and-stop test). In this second case,
it was possible to remove the reactive species formed in the plasma
phase before regenerating the plasma. Then, by comparing the samples
obtained from the two procedures, it was possible to discern whether
a possible change in the species in the plasma phase can contribute
to the nanostructurization process. The 1 min plasma exposure time
was chosen as a good compromise between the time needed to start up
the plasma operation and the time where neither the surface morphology
nor the chemistry on the surface reached a steady state. Of course,
the choice was made upon the SEM and XPS results on the samples exposed
with the first procedure (see discussion below). The 1 min pumping
time was adopted for the pressure in the RIE chamber to reach a base
pressure of 10–2 to 10–3 Pa during
pumping of the exhaust mixture, after starting from a value of initial
pressure of 9 Pa.A third procedure was also used to show that
the onset of the nanostructures is triggered by the energetic ions
reaching the powered electrode. The procedure consisted in exposing
a sample placed over the grounded electrode for 10 min under the same
parameters as of the first procedure and comparing the respective
morphologies. We did not exceed 10 min of process in order to avoid
possible delamination of the polymeric film.
Diagnostics
The plasma phase was
characterized by OES.The samples were characterized by SEM,
AFM, surface profilometry, XPS, and ToF-SIMS.
Authors: Hele Savin; Päivikki Repo; Guillaume von Gastrow; Pablo Ortega; Eric Calle; Moises Garín; Ramon Alcubilla Journal: Nat Nanotechnol Date: 2015-05-18 Impact factor: 39.213
Authors: Ekaterina A Vyacheslavova; Ivan A Morozov; Dmitri A Kudryashov; Alexander V Uvarov; Artem I Baranov; Alina A Maksimova; Sergey N Abolmasov; Alexander S Gudovskikh Journal: ACS Omega Date: 2022-02-08
Authors: Elena P Ivanova; Jafar Hasan; Hayden K Webb; Gediminas Gervinskas; Saulius Juodkazis; Vi Khanh Truong; Alex H F Wu; Robert N Lamb; Vladimir A Baulin; Gregory S Watson; Jolanta A Watson; David E Mainwaring; Russell J Crawford Journal: Nat Commun Date: 2013 Impact factor: 14.919