Understanding the spontaneous organization of atoms on well-defined surfaces promises to enable control over the shape and size of supported nanostructures. Atomic layer deposition (ALD) boasts atomic-scale control in the synthesis of thin films and nanoparticles. Yet, the possibility to control the shape of ALD-grown nanostructures remains mostly unexplored. Here, we report on the bottom-up formation of both linear and V-shaped anatase TiO2 nanorods (NRs) on graphene nanoplatelets during TiCl4/H2O ALD carried out at 300 °C. NRs as large as 200 nm form after only five ALD cycles, indicating that diffusional processes rather than layer-by-layer growth are behind the NR formation. In particular, high-resolution transmission electron microscopy reveals that the TiO2 NRs and graphene nanoplatelets are in rotational alignment as a result of lattice matching. Crucially, we also show that individual nanocrystals can undergo in-plane oriented attachment.
Understanding the spontaneous organization of atoms on well-defined surfaces promises to enable control over the shape and size of supported nanostructures. Atomic layer deposition (ALD) boasts atomic-scale control in the synthesis of thin films and nanoparticles. Yet, the possibility to control the shape of ALD-grown nanostructures remains mostly unexplored. Here, we report on the bottom-up formation of both linear and V-shaped anatase TiO2 nanorods (NRs) on graphene nanoplatelets during TiCl4/H2OALD carried out at 300 °C. NRs as large as 200 nm form after only five ALD cycles, indicating that diffusional processes rather than layer-by-layer growth are behind the NR formation. In particular, high-resolution transmission electron microscopy reveals that the TiO2 NRs and graphene nanoplatelets are in rotational alignment as a result of lattice matching. Crucially, we also show that individual nanocrystals can undergo in-plane oriented attachment.
Atomic layer deposition
(ALD) is a gas-phase bottom-up technique
based on cyclic sequences of self-limiting reactions that bring about
the deposition of less than a monolayer per cycle.[1−4] It has already established itself
as the method of choice for the layer-by-layer deposition of conformal
thin films in applications that require atomic-level precision.[4] Although mostly developed for flat substrates,
ALD is also scalable to high-surface-area substrates, which are relevant
for a variety of applications spanning catalysis, energy storage and
conversion, and medicine.[2,5−16] Given its unparalleled precision and scale-up potential, considerable
research effort has been put in expanding its capability to the deposition
of nanostructures other than thin films such as nanoparticles (NPs).[2,6,7,17−21] However, the formation and growth of NPs are mediated not only by
ALD surface chemistry but also by nonequilibrium phenomena such as
adatom and NP diffusion and aggregation.[17,22] Because such mechanisms are a strong function of reaction conditions
and adlayer–support interactions, control over the NP size
can be achieved only under certain system-dependent conditions.[17,20,21] Nonetheless, if properly understood,
unconventional growth pathways can expand the range of nanostructures
that can be synthesized by ALD.[22,23] After achieving control
over the NP size, the natural next step in the advancement of ALD
of NPs is the synthesis of shape-controlled NPs and, in particular,
of one-dimensional (1D) nanocrystals such as nanorods (NRs).Inspired by a recent finding,[23] Wen
and He[24] posed the question: “Can
oriented attachment be an efficient growth mechanism for the synthesis
of 1D nanocrystals via ALD?” Oriented attachment is a nonclassical
growth mechanism, mostly observed in the liquid phase, that involves
the self-organization of particles or crystallites that migrate, align,
and then fuse along a preferential crystallographic orientation, such
that the resulting crystal grows in an asymmetric fashion.[25−27] Although still poorly understood, a growing body of evidence suggests
that oriented attachment dominates the solution-based growth not only
of important nanomaterials but also of minerals in biogenic and geological
environments.[25,28−30] For this reason,
De Yoreo et al.[28] argued that a rational
exploitation of oriented attachment can bring about significant advances
in the design and synthesis of nanomaterials. Along these lines, Shi
et al.[23] have shown that high-temperature
(≥600 °C) ALD of TiO2 can indeed be used to
grow NRs via a mechanism that the authors argued to be a vapor-phase
variant of oriented attachment. In fact, in contrast to the oriented
attachment of individual crystals that align and fuse, they proposed
that the NRs grow at the expense of an amorphous layer encapsulating
the lateral facets, which migrates and attaches onto the facets exposed
to the gas phase. Although in principle oriented attachment can be
exploited to synthesize 1D nanocrystals via ALD, several questions
of both practical and fundamental nature remain unanswered: (1) because
oriented attachment transcends the layer-by-layer model of ALD, what
is the interplay between the self-limiting behavior of ALD reactions
and the atomistic processes behind the formation of NRs? In particular,
can the NR size still be controlled by the number of cycles? (2) Can
the substrate promote oriented attachment during ALD? For example,
a variety of nanostructures are known to self-align on two-dimensional
(2D) materials in an attempt to minimize the interfacial energy.[31−34]Here, we report on the bottom-up formation of anatase NRs
on gram-scale
batches of graphene nanoplatelets at temperatures as low as 300 °C
via TiCl4/H2OALD. We show that NRs as large
as 200 nm can form even after only five cycles, indicating that the
growth is dominated by diffusional processes. The number of cycles
affects mostly the number rather than the size of the NRs. Statistical
analysis of the shape of the nanostructures at different reactant
dosings reveals a competitive process between growth pathways, leading
to either symmetric growth, and thus NPs, or asymmetric growth, and
thus NRs. In particular, the population of the different observed
nanostructures is a nonlinear function of the exposure time of TiCl4 and H2O even at saturation conditions. Finally,
transmission electron microscopy (TEM) provides direct evidence not
only of oriented attachment of individual TiO2 nanocrystals
but also of an in-plane lattice alignment between TiO2 and
graphene nanoplatelets.
Methods
Materials
Graphene
nanoplatelets (6–8 nm thick
and 15 m wide, and a surface area of about 150 m2 g–1) and the Ti precursor, titanium tetrachloride (TiCl4), were obtained from Strem Chemicals and used as received.
Demineralized water was used as the coreactant. Both precursors were
contained in stainless steel bubblers.
ALD Experiments
The ALD experiments were carried out
in a home-built fluidized bed reactor operated at atmospheric pressure
already described elsewhere.[17,35] The reactor consists
of a glass column (2.6 cm in internal diameter and 50 cm in height),
placed on top of a double-motor vibration table (Paja PTL 40/40-24)
to assist the fluidization process. The titanium precursor (TiCl4) was kept either at 30 °C or at 0 °C by means of
an ice bath to investigate the influence of the vapor pressure on
the Ti loading and the morphology of the ALD-grown TiO2 nanostructures. The coreactant (H2O) was kept either
at 30 °C or at 80 °C by means of a heating tape wrapped
around the bubbler. The precursors were delivered to the reactor by
flowing N2—the carrier gas through the bubblers.
The reactor was connected to three separate gas lines: two for the
precursor delivery and one for the purging gas. The reactor was heated
by an infrared lamp parallel to the glass column with a proportional–integral–derivative
controller to maintain the desired temperature, that is, 100, 150,
200, or 300 °C. An ALD cycle consisted of sequential exposures
of TiCl4 (5 s to 5 min) and H2O (5 s to 5 min),
separated by N2 (99.999 vol %) purging steps (5–10
min). In each experiment, 0.75 g of graphene nanopowder was loaded
in the reactor. Prior to the deposition, the nanopowder was dried
overnight at 120 °C. An optimized gas flow of 0.8 NL min–1 was used to achieve uniform fluidization of the nanopowder
at all times. To remove adventitious carbon and activate the inherently
defective surface of the graphene nanoplatelets, the nanopowder was
pretreated in situ with ozone-enriched air obtained by flowing synthetic
air (20 wt % O2) through an ozone generator (Certizon Ozonizer
C200, O3 output of 200 mg/h) prior to each ALD experiment.
After the pretreatment and before the ALD experiment, the reactor
was purged with N2 for 30 min.
Material Characterization
The morphology of the TiO2/graphene composites was investigated
via TEM, scanning electron
microscopy (SEM), and high-resolution TEM (HRTEM). The as-synthesized
TiO2/graphene composites were suspended in ethanol and
transferred to regular TEM grids of 3.05 mm in diameter. Such grids
were then used for all the microscopes. TEM images were taken using
a JEOL JEM1400 transmission electron microscope operating at a voltage
of 120 kV. The images were then analyzed by using the software ImageJ
to determine the size and shape of the TiO2 nanostructures.
For each sample, 900–1000 nanostructures were characterized
by measuring the following descriptors: perimeter (P), area (A), aspect ratio (AR) of the fitted ellipse,
and circularity: 4πA/P2 (C). On account of these parameters, the
analyzed structures were grouped into three different categories:
NPs, asymmetric NPs (ANPs), and NRs. NPs are defined as nanostructures
with C ≥ π/4 ≃ 0.785 (an object
with P and A such that C ≥ π/4 cannot
be approximated by a rectangle). The NP size was then determined by
calculating the equivalent projected diameter: . NRs are defined as nanostructures
having
AR ≥ 3. The length and the width of the NRs are then defined
as the height and the base of the equivalent rectangle having the
same P and A. ANPs are structures
that fall in neither of the previous groups, that is, structures characterized
by either AR ≤ 3 and C ≤ π/4
or AR ≥ 3 and C ≥ π/4. SEM images were obtained
by using a JEOL JSM-840 scanning electron microscope with a LaB6 source at a voltage of 40 kV. HRTEM micrographs were taken
using a FEI Cs-corrected cubed Titan operating at 300 kV. Crystallographic
analysis (determination of lattice spacing, crystal orientation, exposed
facets, etc.) was carried out by analyzing the fast Fourier transform
(FFT) of the HRTEM images with the aid of the software CrysTBox[36,37] and jems V4.The crystal structure of the composites was analyzed
by X-ray powder diffraction (XRD). The composites were transferred
onto a Si wafer coated with 300 nm of SiO2 to remove the
influence of the Si signal in the XRD patterns. The diffractograms
were obtained by a PANalytical X-pert Pro diffractometer with Cu Kα
radiation, a secondary flat crystal monochromator, and an X’celerator
RTMS detector system. The angle of interest 2θ was measured
from 10° to 80° with steps of 0.001°.The chemical
state and the composition of the composites were investigated
by X-ray photoelectron (XPS) carried out with a ThermoFisher K-Alpha
system using Al Kα radiation with a photon energy of 1486.7
eV. The composites were immobilized on a carbon tape placed on a Si
wafer. XPS scans were acquired using a 200 μm spot size, a 55
eV pass energy, and a 0.1 eV/step with charge neutralization. The
XPS spectra were fitted with the CasaXPS software.Elemental
analysis was carried out by means of inductively coupled
plasma optical emission spectrometry (ICP–OES) and instrumental
neutron activation analysis (INAA). The two techniques gave comparable
Ti loadings. For ICP–OES, approximately 25 mg of powder was
dissolved in a solution containing 4.5 mL of HCl (30%), 1.5 mL of
HNO3 (65%), and 1 mL of HF (40%) using a microwave (Multiwave
PRO). The destruction time in the microwave was 180 min at maximum
power. After destruction, the samples were diluted with 50 mL of Milli-Q
water and then analyzed with a PerkinElmer Optima 4300 DV optical
emission spectrometer. For INAA, around 25 mg of powder was loaded
into high-purity polyethylene capsules. The samples as well as a reference
sample and an empty capsule were then sealed together in a polyethylene
foil, packed in an irradiation container, and irradiated by a constant
neutron flux. INAA has a detection limit in the range of 10–100
ng. The measurements were performed for 1 h after an appropriate time
in order to let the nuclides decay. Then, the results were interpreted
by a UNIX-based computer system, which converts all the information,
for example, peak area and energies, in terms of Ti weight fraction
(wt %). The Ti loading (L) was expressed in terms
of at nm–2 by using the following equation:[1,17]where x is the wt
% of Ti
in the powder sample, NA is Avogadro’s
number, MWTi is the molecular weight of titanium, and S is the surface area of the graphene nanoplatelets.
Results
and Discussion
Self-Limiting Behavior
The hallmark
of ALD is its self-limiting
nature.[1,2] We tested whether TiO2 can be
grown in a self-limiting fashion on gram-scale batches of graphene
nanoplatelets by following the amount of deposited Ti as a function
of the exposure time and the partial pressure of the precursors: TiCl4 and H2O (see Figure ). For information regarding the experimental
method and materials, the interested reader is referred to the Methods
section. The evolution of the Ti loading (at nm–2) as a function of precursor exposure time shows that the surface
reactions saturate after an exposure of about 30 s of TiCl4 and 15 s of H2O. This is true at different temperatures
(200 and 300 °C), number of cycles (i.e., 5 and 10), and precursor
partial pressures (see Figure b–e). In particular, past the saturation point, the
Ti loading remains fairly constant within a time window of several
minutes. In addition, the value of the Ti loading at saturation after
10 cycles is ∼2.3 at nm–2, which is about
two times the saturation value after 5 cycles. In fact, exposure times
of 30 s for the exposure of both precursors resulted in a linear increase
of the Ti loading with the number of cycles in the cycle range 1–10
and in the temperature range 100–300 °C (see Figure a). If we consider
that a monolayer of anatase exposing {100} facets has a Ti density
of ∼16.7 at nm–2, a growth per cycle (GPC)
of ∼0.23 Ti at nm–2 translates into ∼1.4%
of a monolayer per cycle. This GPC is about 10 times lower than the
steady-state GPC (i.e., in the limit of a large number of cycles)
typically reported for TiCl4/H2OALD, which
is in the range of 10–15% of a monolayer per cycle.[38−40] Such low GPC is consistent with the low reactivity of graphitic
surfaces, which, lacking dangling bonds, induce what is referred to
as substrate-inhibited ALD growth.[1] Nonetheless,
ALD growth can still start from the very first cycle because, in contrast
to ideal graphene or perfect graphitic surfaces, the surface of graphene
nanoplatelets is inherently defective, and as such it can be activated
by the incorporation of the oxygen-containing species during the ozone
pretreatment step.[17,41,42]
Figure 1
Self-limiting
behavior of the surface chemistry of the ALD reactions.
(a) Evolution of the amount of titanium deposited (i.e., the loading)
with the number of ALD cycles at different temperatures. Evolution
of the Ti loading with the exposure time of TiCl4 (b) and
H2O (c) at 300 °C after 10 cycles. The loading indicated
by the red open squares and black circles of (b,c) was obtained by
having the TiCl4 bubbler at 0 and 30 °C, respectively.
Evolution of the Ti loading with the exposure time of TiCl4 (d) and H2O (e) at 200 °C after five cycles. The
loading indicated by the red open square of (e) was obtained by having
the H2O bubbler at 80 °C. Unless otherwise specified,
all the experiments were carried out with the TiCl4 and
H2O bubbler kept at 30 °C. The vapor pressure of TiCl4 is ∼2.5 Torr at 0 °C and ∼14.6 Torr at
30 °C, whereas H2O has a vapor pressure of ∼31.8
Torr at 30 °Cand of ∼355.1 Torr at 80 °C.[43] The error bars indicate 95% confidence intervals.
Self-limiting
behavior of the surface chemistry of the ALD reactions.
(a) Evolution of the amount of titanium deposited (i.e., the loading)
with the number of ALD cycles at different temperatures. Evolution
of the Ti loading with the exposure time of TiCl4 (b) and
H2O (c) at 300 °C after 10 cycles. The loading indicated
by the red open squares and black circles of (b,c) was obtained by
having the TiCl4 bubbler at 0 and 30 °C, respectively.
Evolution of the Ti loading with the exposure time of TiCl4 (d) and H2O (e) at 200 °C after five cycles. The
loading indicated by the red open square of (e) was obtained by having
the H2O bubbler at 80 °C. Unless otherwise specified,
all the experiments were carried out with the TiCl4 and
H2O bubbler kept at 30 °C. The vapor pressure of TiCl4 is ∼2.5 Torr at 0 °C and ∼14.6 Torr at
30 °C, whereas H2O has a vapor pressure of ∼31.8
Torr at 30 °Cand of ∼355.1 Torr at 80 °C.[43] The error bars indicate 95% confidence intervals.
Effect of Deposition Temperature
on Crystallinity, Morphology,
and Chemical State
Although the deposition temperature had
virtually no effect on the amount of deposited Ti, it did affect the
crystallinity, the morphology, and the chemical state of the ALD-grown
TiO2. The XPS spectra of the composites obtained after
10 cycles in the temperature range 100–300 °C reveal that
the Ti atoms are mostly in the Ti4+ state, with a small
fraction being in the Ti3+ state (see Figure b). In particular, the fraction
of the latter decreases from about 10% at 100 °C to less than
4% at 300 °C. The Ti3+ contribution to the Ti 2p spectra
is probably due to the presence of nonstoichiometric TiO2. This is corroborated by the shift toward lower binding energies
of the peak associated with the Ti–O bonds in the O 1s region
with increasing deposition temperature (see Figure d), which is known to be correlated with
a reduction in the concentration of oxygen vacancies.[44,45] The deposition of nonstoichiometric TiO2 at low temperature
is also consistent with the absence of the signature of crystallinity
in the XRD patterns of the composites obtained at temperatures below
200 °C (see Figure a). On the other hand, a clear signature of the presence of anatase
TiO2 is evident for the composites obtained at 200 and
300 °C. In particular, the peaks associated with the anatase
structure were narrower for the composites obtained at 300 °C,
indicating the formation of larger crystallites at higher temperature.
Figure 2
XRD spectra
(a) and XPS spectra (b–d) of the TiO2 graphene composites
obtained after 10 cycles at different temperatures.
In particular, (b) shows the XPS spectra of the Ti 2p region, (c)
shows the spectra of the C 1s region, and (d) shows the spectra of
the O 1s regions. All the experiments were carried out by following
the pulsing sequence: 30 s TiCl4-5 min N2 purge-30
s H2O-5 min N2 purge.
XRD spectra
(a) and XPS spectra (b–d) of the TiO2 graphene composites
obtained after 10 cycles at different temperatures.
In particular, (b) shows the XPS spectra of the Ti 2p region, (c)
shows the spectra of the C 1s region, and (d) shows the spectra of
the O 1s regions. All the experiments were carried out by following
the pulsing sequence: 30 s TiCl4-5 min N2 purge-30
s H2O-5 min N2 purge.The transition from amorphous to anatase TiO2 with
increasing
temperature is also reflected in the evolution of the morphology of
the composites as revealed by TEM analysis (see Figure ). At 100 °C, the ALD-grown TiO2 appears in the form of irregularly shaped 2D flakes (see Figure a). On the other
hand, at 200 °C, while 2D flakes are still visible, a fraction
of the ALD-grown TiO2 forms into distinct crystallites
with sharp corners (see Figure b). Crucially, at 300 °C, the 2D flakes are no longer
present; instead, the same amount of TiO2 is concentrated
in nanostructures ranging from individual and agglomerated NPs to
linear, curved, and v-shaped NRs (see Figures c and 6).
Figure 3
Effect of the
deposition temperature on the morphology of the ALD-grown
TiO2. Representative TEM images of the TiO2/graphene
composites obtained after 10 cycles at 100, 200, and 300 °C.
All the experiments were carried out by following the pulsing sequence:
30 s TiCl4—5 min N2 purge—30 s
H2O—5 min N2 purge.
Figure 6
(a) TEM micrograph
of a graphene nanoplatelet after 10 ALD cycles
carried out at 300 °C using the pulsing sequence: 2 min TiCl4—5 min N2—30 s H2O—5
min N2. (b) TEM micrograph of the tip of a NR encapsulated
by an amorphous layer. Field emission SEM micrograph of the TiO2/graphene composites obtained after 10 cycles at 300 °C
(c) using the same pulsing sequence as in (a). Selection of TEM micrographs
of NRs of peculiar morphology: curved NR (d), NR aligned with the
edge of the nanoplatelet (e), and v-shaped NRs (f).
Effect of the
deposition temperature on the morphology of the ALD-grown
TiO2. Representative TEM images of the TiO2/graphene
composites obtained after 10 cycles at 100, 200, and 300 °C.
All the experiments were carried out by following the pulsing sequence:
30 s TiCl4—5 min N2 purge—30 s
H2O—5 min N2 purge.To test whether the formation of NRs is simply triggered
by an
increase in temperature, we annealed at 300 °C the composites
obtained after 10 cycles at 100 and 200 °C for 2 h (≃the
average duration of 10 cycles) in synthetic air and in N2 + H2O, respectively. In particular, we annealed the composites
in the same reactor where all the ALD experiments were performed.
After annealing, the morphology did change in that 2D flakes were
no longer present and most of the TiO2 formed into percolated
NPs; however, no NRs were observed (see Figure S1). This suggests that the sequential nature of ALD, and thus
the timing of each precursor exposure, is crucial for the formation
of NRs.
Effect of Precursor Exposure Time on the Morphology and Unfolding
of Asymmetric Growth
The precursor exposure time had a dramatic
effect on the morphology of the ALD-grown TiO2. Figure shows the evolution
of the morphology of the TiO2 nanostructures deposited
after 10 cycles at 300 °C with varying TiCl4 exposure
times in the range 30–180 s. Strikingly, although the morphology
varies considerably within such a range of exposures, the Ti loading
remains virtually the same (see Figures b and 4). This means
that prolonged TiCl4 exposures affect the growth process
by exacerbating the effect of diffusion phenomena rather than by the
addition of more TiO2.
Figure 4
Effect of the TiCl4 exposure
time on the morphology
of the TiO2 nanostructures grown at 300 °C after 10
ALD cycles (the water exposure time was of 30 s in all cases). The
images in the first two columns are TEM micrographs, whereas the third
column contains schematic representations of the morphology of the
observed nanostructures.
Effect of the TiCl4 exposure
time on the morphology
of the TiO2 nanostructures grown at 300 °C after 10
ALD cycles (the water exposure time was of 30 s in all cases). The
images in the first two columns are TEM micrographs, whereas the third
column contains schematic representations of the morphology of the
observed nanostructures.TiCl4 exposures of 30 s resulted in the formation
of
a large number of both round and ANPs of about 20 nm in size that
are mostly clustered in elongated chainlike agglomerates. Sporadically,
also NRs with sharp facets were observed (see also Figure c). Image analysis shows that
about 50% of the nanostructures have an aspect ratio (AR) ranging
from 1.5 to 6 and that the NRs (AR ≥ 3 & circularity ≤
π/4) account for about 2.5% of the total population (see Figure a,c).
Figure 5
Summary of the statistical
analysis of the shape of the nanostructures
obtained with ALD at 300 °C. Box plots and data overlap of the
evolution of the AR as a function of the TiCl4 and H2O exposure time (a,b). The boxes indicate the 10th, 25th,
75th, and 90th percentiles of the population, the full circle indicates
the maximum, the white diamonds indicate the average, and the horizontal
line indicates the median. Evolution of the average fraction of NRs,
that is, the number of NRs divided by the total number of observed
nanostructures, as a function of TiCl4 (c) and H2O (d) exposure time, and of the number of cycles (e). The asterisks
indicate that the experiments were carried out with the TiCl4 bubbler kept at 30 °C, otherwise all the data were obtained
with experiments in which the TiCl4 and H2O
bubbler were kept at 0 and 30 °C respectively. Box plots and
data overlap of the evolution of the (f) length and (g) width of the
NRs and of the (h) size of the NPs with the number of cycles (pulse
sequence: 2–5 min-30 s-5 min). The boxes indicate the 10th,
25th, 75th, and 90th percentiles of the population, the full circle
indicates the average, and the horizontal line indicates the median.
Summary of the statistical
analysis of the shape of the nanostructures
obtained with ALD at 300 °C. Box plots and data overlap of the
evolution of the AR as a function of the TiCl4 and H2O exposure time (a,b). The boxes indicate the 10th, 25th,
75th, and 90th percentiles of the population, the full circle indicates
the maximum, the white diamonds indicate the average, and the horizontal
line indicates the median. Evolution of the average fraction of NRs,
that is, the number of NRs divided by the total number of observed
nanostructures, as a function of TiCl4 (c) and H2O (d) exposure time, and of the number of cycles (e). The asterisks
indicate that the experiments were carried out with the TiCl4 bubbler kept at 30 °C, otherwise all the data were obtained
with experiments in which the TiCl4 and H2O
bubbler were kept at 0 and 30 °C respectively. Box plots and
data overlap of the evolution of the (f) length and (g) width of the
NRs and of the (h) size of the NPs with the number of cycles (pulse
sequence: 2–5 min-30 s-5 min). The boxes indicate the 10th,
25th, 75th, and 90th percentiles of the population, the full circle
indicates the average, and the horizontal line indicates the median.Increasing the TiCl4 exposure time to 60 s resulted
in a larger fraction of elongated structures having an AR between
1.5 and 3. In this case, the nanostructures are less irregular and
more symmetric with respect to their major axis. TEM images clearly
show that such structures mostly consist of few individual NPs that
are partially aligned and fused. In fact, the average size of the
ANPs doubled compared to the previous case (see Figure S2). This indicates that longer exposures promoted
the diffusion and coalescence of the individual NPs. Furthermore,
although the fraction of NRs was comparable to the previous case,
the number of structures having an AR of about 2 and sharp lateral
edges increased.Crucially, TiCl4 exposures of 120
s resulted in the
formation of a significantly higher number of both linear and V-shaped
NRs presenting sharp lateral facets (see also Figure ). This was true for two different TiCl4 partial
pressures (in the precursor bubbler): ∼2.5 and ∼14.6
Torr[43] (see Figures d and S7). In
particular, the length of the NRs was distributed in the range 50–500
nm, whereas the width ranged from ∼10 to 60 nm (see Figure S2). Interestingly, the average NR width
is always about equal to the average NP size (∼20 nm), which
is consistent with the NPs being the building blocks of the NRs (see Figure g,h). In this case,
the fraction of NRs accounted for ∼7–8% of the total
population (see Figure c). It is worth noting that the fraction of NRs is calculated on
a number basis: the total number of NRs divided by the total number
of observed nanostructures. On a weight basis, however, NRs would
account for a fraction of TiO2 much larger than 8%. In
the first approximation, if we assume that all TiO2 is
distributed in NPs and NRs and that the average NR weight is equal
to average NP weight times the average NR AR (∼5), then the
NRs account for about 30% of the total TiO2 mass.(a) TEM micrograph
of a graphene nanoplatelet after 10 ALD cycles
carried out at 300 °C using the pulsing sequence: 2 min TiCl4—5 min N2—30 s H2O—5
min N2. (b) TEM micrograph of the tip of a NR encapsulated
by an amorphous layer. Field emission SEM micrograph of the TiO2/graphene composites obtained after 10 cycles at 300 °C
(c) using the same pulsing sequence as in (a). Selection of TEM micrographs
of NRs of peculiar morphology: curved NR (d), NR aligned with the
edge of the nanoplatelet (e), and v-shaped NRs (f).TiCl4 exposures of 180 s suppressed
the formation of
NRs and, instead, promoted the growth of large and nearly symmetric
NPs. Therefore, there exists an optimum in the TiCl4 exposure
time that promotes asymmetric growth and thus maximizes the fraction
of NRs. Interestingly, varying the H2O exposure time affected
the morphology in a similar fashion, with 30 s of H2O exposure
being the optimal time when using TiCl4 exposures of 120
s (see Figures S3, 5b and d). In addition, varying the number of cycles also resulted
in an evolution of the relative fraction of NRs, exhibiting an optimum
(see Figure e). In
particular, an increase in the number of cycles from 5 to 10 resulted
in an increase in the NR fraction, whereas the NR and NP size remained
virtually unaffected (see Figure e–h). On the other hand, increasing the number
of cycles from 10 to 20 not only decreased the fraction of NRs but
also broadened the size distribution of both NRs and ANPs (see Figures f and S2). As we will point out later, the existence
of an optimum and the evolution of the size of the different nanostructures
can be explained in terms of a competition between diffusion phenomena,
leading to either symmetric or asymmetric growth, and NP formation
resulting from deposition.
Analogies with Liquid-Phase Oriented Attachment
The
transition from individual NPs to NRs with varying TiCl4 exposure times presented in Figure bears a striking resemblance to the solution growth
of Pt3Fe NRs from NP building blocks via oriented attachment
observed by Liao et al.[30] By using real-time
TEM, they could monitor the spontaneous formation of NRs in a solution
containing Pt and Fe precursors that undergo reduction upon electron
beam illumination. In particular, they observed three distinct stages.
In the first stage, a large number of small NPs nucleate upon precursor
reduction. These NPs grow by parallel atom attachment and NP coalescence
until they reach a critical size. In particular, in this stage, coalescing
NPs relax in spherical shapes. In the second stage, colliding NPs
form into NP chains that do not coalesce into spherical NPs. When
most NPs form into NP chains, these can in turn undergo end-to-end
attachment and form longer chains. In the third stage, polycrystalline
chains can straighten and form into single-crystal NRs via the alignment
and mass redistribution between the individual NPs within the chain.The similarities between the evolution of the morphology with TiCl4 exposure time revealed by ex situ TEM (Figure ) and the mechanism observed by Liao et al.[30] in real time suggest that an analogous three-stage
process is likely to be behind the formation of TiO2 NRs
during ALD on graphene nanoplatelets. Yet, it must be noted that the
latter is considerably more complex than the growth of Pt3 Fe NRs in solution in that: the nucleation of TiO2 NPs
is heterogeneous; the diffusion of TiO2 species and of
NPs takes place over a surface, that is, in 2D; new material
is added cyclically into the system, rather than being added all at
once at the beginning of the process; TiO2 is deposited
in each cycle on both the substrate and the pre-existing nanostructures;
and both the reaction environment and the surface chemistry change
periodically as a result of the pulsing sequence and of ALD surface
reactions.Although oriented attachment is typically observed
in liquid-phase
processes,[25−27] the same three-step process described by Liao et
al.[30] (i.e., NP nucleation, collision of
NPs followed by oriented attachment, and formation of NRs by mass
redistribution) can also apply to the formation of NRs in vapor-solid
processes. In principle, oriented attachment can take place in solid-phase
processes provided that the individual crystals can diffuse and collide
and if there exists particle–particle interactions that mediate
the alignment of crystals that come in close contact with each other.
To the best of our knowledge, only Shi et al.[23] have so far reported on the experimental realization of oriented
attachment in a vapor–solid deposition process. Furthermore,
molecular dynamics simulations have shown that, while in vacuum TiO2 crystals simply merge along the direction of their collision,
the presence of water vapor triggers the alignment of colliding TiO2 and thus their oriented attachment.[46] In particular, water molecules mediate the interaction between colliding
crystals without being consumed by the overall process. In fact,
water molecules do adsorb on the surface of the TiO2 crystals,
but these are then released as a result of the merging of aligned
crystals.[46] Finally, although such a role
in mediating particle–particle interactions has so far been
described only for water, similar mechanisms might also hold for other
chemical species such as TiCl4.To further substantiate
the role of TiCl4 in mediating
the growth of NRs, we also carried out preliminary ALD experiments
using titanium isopropoxide (TTIP) as a titanium source. Using a pulsing
sequence analogous to the one that gave an optimum fraction of NRs
with TiCl4 and H2O: 2 min TTIP-5 min N2 purge-30 s H2O-5 min N2 purge and a temperature
of 300 °C we only obtained a high density of rounded NPs of a
few nanometers in size and no NRs after 10 cycles (see Figure S4). By using the same precursor for TiO2ALD on graphene, also Zhang et al.[47] could only obtain small NPs of about 2 nm. Therefore, we
suggest that both TiCl4 and water vapors can promote the
formation of NRs by mediating the interactions between individual
TiO2 nanocrystals.The analogy between liquid-phase
and solid-state oriented attachment
also requires that individual TiO2 nanocrystals can
diffuse over the surface of graphene nanoplatelets. Although
the diffusion of three-dimensional atomic clusters has not been extensively
studied, there is considerable experimental and theoretical research
that suggests that whenever the cluster is not in epitaxy with the
substrate, cluster diffusion is commonplace.[17,48−51] The greater the degree of epitaxial misalignment, the greater the
mobility, which is minimum when the cluster approaches epitaxy with
the substrate.[48−51] As a result, adsorbed clusters that are not in epitaxy can experience
transient mobility until rotational diffusion brings them in epitaxy,
after which they are virtually immobile. Interestingly,
as we will discuss in the next section, we do find that the lattice
of the NRs is in rotational alignment with the underlying substrate
lattice. Finally, chemical species in the vapor phase can alter the
surface properties of supported NPs as well as their interaction with
the substrate, thereby promoting or inhibiting mobility.[17,52,53] Water vapor, in particular, has
long been known to promote the sintering of several oxides by increasing
the surface diffusion.[54] Therefore, it
is indeed possible that TiO2 nanocrystals can diffuse over
the surface of graphene nanoplatelets and that their mobility as well
as the rate of merging of two or more nanocrystals is affected by
the presence of TiCl4 and water vapor.
Solid-State
Oriented Attachment, Heteroepitaxial Alignment,
and the Effect of the Substrate
Figure shows some examples of the different morphologies
that the ALD-grown NRs can display: straight NRs (Figure b), NRs aligned with the edge
of a nanoplatelet (Figure e), curved NRs (Figure c,d), and V-shaped NRs (Figure f). Such morphologies offer a clue into the growth
mechanism. In particular, the presence of curved NRs is an indirect
evidence of oriented attachment. In fact, Zhang et al.[55] have shown that NRs forming in solutions via
oriented attachment of small anatase NPs exposing {011} facets, such
as the ones formed during ALD as shown in Figure b, bend in order to lower their energy. We
could indeed find direct evidence of oriented attachment via HRTEM
analysis. For example, Figure a shows a TEM micrograph of two distinct single-crystal NRs
that are fused at one extremity while retaining a perfect alignment
along {011} facets as shown by the FFT analysis. Another example of
oriented attachment is given in Figure S5l, which shows a small TiO2 NP attached to one end of a
NR with a perfect lattice alignment. More evidence is also provided
by Figure f, where
a single-crystal straight NR is shown to be fused with a NP, which
exhibits a perfect alignment with the NR along the {011} facets, as
highlighted in the inset (I). The NR fused to an NP of Figure f is consistent with the mechanism
revealed by Liao et al.,[30] where individual
NPs, NP chains, and NRs first undergo end-to-end oriented attachment
and then form into straight single-crystal NRs via mass redistribution.
The fact that the NRs are bound by {011} is no surprise as they exhibit
the lowest surface energy among the anatase crystal facets.[56] This is also consistent with the findings of
Shi et al.,[23] who also observe NRs bound
by {011} facets. The driving force for oriented attachment is in fact
the reduction of the total surface energy.[24]
Figure 7
(a)
HRTEM micrograph of two NRs undergoing oriented attachment
together with FFT patterns of the indicated areas and inverse FFT
(IFFT) images obtained by singling out the frequencies associated
with the {011} facets. (b) Representative HRTEM micrograph of a TiO2 NP exhibiting the tetragonal dipyramidal structure, characteristic
of anatase crystals, exposing {011} facets. (c) HRTEM micrograph of
a supported NR, FFT patterns of the indicated areas, and IFFT images
obtained by singling out the frequencies associated with the lattice
of graphene (I) and of TiO2 (II). (d) Analysis of the FFT
pattern of the area indicated as (II), highlighting the heteroepitaxial
alignment between TiO2 and graphene nanoplatelets. (e)
HRTEM image and corresponding IFFT of a V-shaped NR, and FFT patterns
of the corresponding indicated areas. The IFFT image was obtained
by singling out the FFT patterns associated with the lattice of both
TiO2 and graphene nanoplatelets. (f) HRTEM image and corresponding
IFFT of a NR with an irregular bottom tip. The inset highlights the
incorporation by the oriented attachment of a distinct crystallite
at the bottom of the NR. The IFFT was obtained as in (e).
(a)
HRTEM micrograph of two NRs undergoing oriented attachment
together with FFT patterns of the indicated areas and inverse FFT
(IFFT) images obtained by singling out the frequencies associated
with the {011} facets. (b) Representative HRTEM micrograph of a TiO2 NP exhibiting the tetragonal dipyramidal structure, characteristic
of anatase crystals, exposing {011} facets. (c) HRTEM micrograph of
a supported NR, FFT patterns of the indicated areas, and IFFT images
obtained by singling out the frequencies associated with the lattice
of graphene (I) and of TiO2 (II). (d) Analysis of the FFT
pattern of the area indicated as (II), highlighting the heteroepitaxial
alignment between TiO2 and graphene nanoplatelets. (e)
HRTEM image and corresponding IFFT of a V-shaped NR, and FFT patterns
of the corresponding indicated areas. The IFFT image was obtained
by singling out the FFT patterns associated with the lattice of both
TiO2 and graphene nanoplatelets. (f) HRTEM image and corresponding
IFFT of a NR with an irregular bottom tip. The inset highlights the
incorporation by the oriented attachment of a distinct crystallite
at the bottom of the NR. The IFFT was obtained as in (e).The lattice mismatch and the poor chemical affinity
between graphitic
surfaces and oxides such as TiO2 entail high interfacial
energies.[31,57] The minimization of the latter can drive
not only the transition from 2D flakes to NPs and NRs but also the
in-plane alignment between the crystal lattices of TiO2 and graphene. Indeed, HRTEM images and their Fourier transforms
clearly show that the lattices of the TiO2 NRs and graphene
nanoplatelets are rotationally aligned (see Figures c–e and S5a–h). For example, the {013} and {011} facets of the NR in Figure c are perfectly aligned
with the zigzag and armchair directions of the graphitic lattice,
respectively (see insets (I) and (II) of Figure c,d). Heteroepitaxial alignment is known
to be driven by lattice matching.[31,58−61] In fact, we find that TiO2 that is aligned with carbon
hexagon minimizes the lattice mismatch. For the NR in Figure c, the interplanar spacing
of {033} and {017} facets is about the length of one carbon hexagon
(lattice mismatch ≃0.8% and ≃0.4%, respectively), whereas
the spacing between {013} and {020} is about the distance between
two carbon atoms in the carbon hexagon (lattice mismatch ≃12
and ≃10%, respectively).An atomic-scale rotational alignment
between adsorbates and the
substrate often translates into a preferential alignment between the
adsorbates, especially if they are 1D nanostructures such as NRs.[31,32] Indeed, we found that the orientation of the NRs exhibits a 12-fold
symmetry; in other words, the angle between the major axis of two
NRs lying on the same graphene nanoplatelet is a multiple of
30° (see Figure S6). This is a clear
indication that the substrate has an active role in mediating the
directional growth of the deposited TiO2 into NRs. We conclude
that TiO2 species and individual NPs diffuse and aggregate
in an asymmetric fashion so that the TiO2 nanocrystals
grow in the direction that minimizes the interfacial energy. A diffusion
field that exhibits a 12-fold symmetry can explain, among other things,
the formation of V-shaped NRs with an internal angle of about 60°
or 30° as the ones shown in Figures f and 7e. Finally,
also the edges of the graphene nanoplatelets can impart directionality
to the growth process, as they act as impassable boundaries for diffusing
species as well as for growing nanocrystals. For example, Figure S5i shows a TiO2 crystalline
NP whose lattice sharply terminates in correspondence of the edge
of the graphene nanoplatelet. Analogously, edges can act as a template
for the directional growth of NRs, as shown in Figure e.
On the Growth Mechanism
In light
of the results of
our analysis and, in particular, of the following two observations:
(i) nonlinear dependence of the NR fraction with the exposure time
of both precursors and the number of cycles and (ii) rotational alignment
between the lattices of TiO2 and graphene nanoplatelets
driven by lattice matching, we propose the following growth mechanism.
In each cycle, TiO2 species form on both the graphene nanoplatelets
and the already-deposited TiO2 as a result of ALD surface
reactions. During the first cycles, TiO2 species diffuse
and form into anatase NPs to minimize the interfacial energy. Once
formed, the NPs can grow by capturing diffusing TiO2 species
or by undergoing diffusion and coalescence with neighboring NPs. In
particular, the NPs will tend to diffuse and grow in accord with the
symmetry of the lattice of the underlying graphene. Before reaching
a critical size, two colliding NPs can coalesce into a symmetric NP.
With increasing number of cycles, the deposition of more TiO2 leads to an increase in the number of NPs, which in turn increases
the chances of two NPs undergoing diffusive aggregation. Upon reaching
a certain size, the coalescence step slows down (the characteristic
time for the coalescence of two spherical NPs scales with R4).[62] As the NPs
grow in size and number, they can come in contact
without coalescing, thereby forming NP chains. In particular, NPs
in close proximity can align and undergo oriented attachment or
form irregular polycrystalline chains. As previously discussed,
in the presence of chemical atmospheres that promote surface diffusion
and oriented attachment and given enough time, NP chains can form
into single-crystal NRs via alignment and mass redistribution between
the individual NPs within the chain. Furthermore, the oriented attachment
of NPs can still lead to steps or gaps along the lateral sides of
the forming NR, if the NPs are of different sizes or if their centers
of mass are not aligned. In this case, a straight NR can form via
the preferential attachment of migrating TiO2 species to
the steps in the lateral facets. In the limit of long times, however,
NP chains and NRs will inevitably tend to relax into the most stable
shape, that is, the tetragonal bipyramidal shape[24,26,27] (see Figure b). There are, therefore, three processes in series
that are all mediated by TiO2 mobility: NP aggregation
into NP chains, NP relaxation into NRs, and relaxation of NRs into
symmetric bipyramidal NPs. It follows that if both TiCl4 and H2O promote the mobility of TiO2, there
will be an optimal exposure time that maximizes the formation of NRs.
Also, with the increasing number of cycles, large and irregular structures
can form as new NPs attach to pre-existing nanostructures and growing
neighboring nanostructures come into contact with each other. Because
the time scale associated with the relaxation of a polycrystalline
chains into NRs will likely increase with chain length and complexity,
the fraction of NRs is bound to decrease after a critical number of
cycles. Finally, this picture implies that the optimal exposure time
varies from cycle to cycle and on the extent of saturation of the
ALD surface reactions because the time scales associated with the
diffusive process leading to the formation of NRs depend on the TiO2 coverage and the size of the nanostructures. This particular
insight paves the way for an optimization of the process aimed at
maximizing the NR fraction.
Conclusions
In
conclusion, we have demonstrated the use of ALD as a route for
the bottom-up synthesis of TiO2 NRs on gram-scale batches
of graphene nanoplatelets at temperatures as low as 300 °C. NRs
>200 nm in length could be obtained even after only five cycles,
indicating
that the growth is dominated by diffusional processes rather than
by a layer-by-layer mechanism. In particular, complex structures such
as V-shaped and curved NRs were observed. The formation of NRs was
induced by modulating the exposure time of the precursors: TiCl4 and H2O. Prolonged annealing experiments suggest
that the sequential nature of the ALD process is crucial for the NR
formation. Statistical analysis of the evolution of the shape and
the relative number of different nanostructures formed at different
exposure times reveals a competition between growth pathways, leading
to either asymmetric or symmetric growth. In particular, the number
of NRs is a nonlinear function of the exposure time of the precursors
and of the number of cycles: there exists an optimum. In particular,
we show that the morphology of the ALD-grown TiO2 nanostructures
evolves within the saturation window of the ALD surface reactions.
In other words, we obtain different morphologies while retaining the
same amount of the material being deposited. The number of cycles
mostly affects the relative number of the NRs rather their size. HRTEM
reveals that TiO2 nanocrystals can undergo oriented attachment
during ALD. Crucially, analysis of the relative lattice orientation
clearly shows an in-plane rotational alignment between the lattices
of the TiO2 nanocrystals and graphene nanoplatelets. Hence,
the minimization of the interfacial energy by lattice matching is
considered to be among the major driving forces for the diffusional
processes underlying the NR formation and growth. The insights presented
here are also relevant to ALD of other oxides that are known to form
NRs such as vanadium oxide and zinc oxide.[63,64] We hope that our work will motivate future studies on the exploitation
of nonclassical growth pathways for the synthesis nanostructures with
controlled size and shape via ALD. We believe that fundamental
studies on the role of the substrate in mediating the self-organization
of forming nanocrystals can expand the capabilities of ALD and other
synthesis methods, especially with regard to nanostructures supported
on 2D materials.
Authors: Young Joon Hong; Jae Won Yang; Wi Hyoung Lee; Rodney S Ruoff; Kwang S Kim; Takashi Fukui Journal: Adv Mater Date: 2013-09-25 Impact factor: 30.849
Authors: Fabio Grillo; Hao Van Bui; Jacob A Moulijn; Michiel T Kreutzer; J Ruud van Ommen Journal: J Phys Chem Lett Date: 2017-02-14 Impact factor: 6.475