Interfacial water is a widespread lubricant down to the nanometer scale. We investigate the lubricities of molecularly thin H2O and D2O films confined between mica and graphene, via the relaxation of initially applied strain in graphene employing Raman spectroscopy. Surprisingly, the D2O films are at least 1 order of magnitude more lubricant than H2O films, despite the similar bulk viscosities of the two liquids. We propose a mechanism based on the known selective permeation of protons vs deuterons through graphene. Permeated protons and left behind hydroxides may form ion pairs clamping across the graphene sheet and thereby hindering the graphene from sliding on the water layer. This explains the lower lubricity but also the hindering diffusivity of the water layer, which yields a high effective viscosity in accordance with findings in dewetting experiments. Our work elucidates an unexpected effect and provides clues to the behavior of graphene on hydrous surfaces.
Interfacial water is a widespread lubricant down to the nanometer scale. We investigate the lubricities of molecularly thin H2O and D2O films confined between mica and graphene, via the relaxation of initially applied strain in graphene employing Raman spectroscopy. Surprisingly, the D2O films are at least 1 order of magnitude more lubricant than H2O films, despite the similar bulk viscosities of the two liquids. We propose a mechanism based on the known selective permeation of protons vs deuterons through graphene. Permeated protons and left behind hydroxides may form ion pairs clamping across the graphene sheet and thereby hindering the graphene from sliding on the water layer. This explains the lower lubricity but also the hindering diffusivity of the water layer, which yields a high effective viscosity in accordance with findings in dewetting experiments. Our work elucidates an unexpected effect and provides clues to the behavior of graphene on hydrous surfaces.
Entities:
Keywords:
filtering; proton permeation; shear; tribology; viscosity; water
Solid friction and its reduction
by a lubricant are topics of immense technological importance, and
the phenomena are part of our everyday life. Interfacial water lubricates
joints in our body, acts as lubricant in skating and skiing, and makes
not only autumn leaves slippery but similarly also other layered materials
like clays and graphite.[1,2] Graphite, for example,
is a well-known solid lubricant, yet it is the ambient water that
makes graphite lubricating under ambient conditions.[3] The underlying mechanisms of friction in systems of aromatic
carbon materials and water remain debated.[4,5] To
obtain a better understanding of lubrication, well-defined model systems
are desirable.[6] An interface between 2D
materials and mica is a powerful experimental system to investigate
friction and lubricity on the scale of molecularly thin films. Mica
is a layered mineral that can be easily cleaved, thereby producing
atomically flat hydrophilic surfaces.[7] Therefore,
it has been intensively used for investigating the rheology and the
lubricity of liquids, squeezed down to molecularly thin films between
two mica surfaces.[8] 2D materials exfoliated
onto mica brought further experimental advantages into the field,
since interfaces between mica and 2D sheets of choice can be filled
with homogeneous and molecularly thin films of various molecules by
exposing the samples to molecular vapors.[9,10] Straining
the mica surface allows for transfer of the strain through the confined
molecular film to the 2D sheets,[11,12] and the strained
2D sheets may then relax the strain with time (Figure A).[13] The comparison
of strain relaxation in 2D sheets lying either directly on mica or
on a molecular film confined between the sheet and mica allows assessing
the lubricity of the films at the interface. The high sensitivity
of the graphene Raman peak positions to strain renders graphene the
2D material of choice for such experiments.[14]
Figure 1
(A)
Sketch of the setup (not-to-scale) used for the measurements
of graphene strain relaxation. The mica slab was bent/unbent to strain/unstrain
its outer surface. The subsequent time evolution of the strain in
single-layer and bilayer graphene pieces was followed with Raman spectroscopy.
The interfaces between graphene pieces and mica were filled with either
H2O or D2O films. The simplified sketches do
not show the molecular complexity of the H2O/D2O films hydrating the ionic mica surface.[20] (B) Typical Raman spectra recorded from single-layer graphene pieces
lying on an unstrained mica surface. The samples were exposed to 40%
RHs of H2O (red curve) or D2O (black curve)
vapors, in order to fill the interfaces with the respective molecular
films. The G and 2D peaks are labeled and the spectra are normalized
to the 2D peak heights. The peaks labeled with asterisks (*) originate
from a neon lamp and are used as calibration references. The inset
shows 2D versus G peak positions recorded on graphene monolayers.
The peak positions shown with red circles and black squares were recorded
on graphene monolayers on H2O and D2O films,
respectively, and on an unstrained mica surface. The cyan triangle
shows the 2D and G peak positions reported for uncharged and unstrained
graphene.[9] The gray squares are the peak
positions recorded during strain relaxation in a graphene monolayer
shown in Figure A.
The black, yellow, and red dashed lines are the expected shifts induced
by strain (slope 2.2), p-charge (slope 0.55) and n-charge (slope 0.2)
doping of graphene, respectively.[16] The
lines are guides for the eye.
(A)
Sketch of the setup (not-to-scale) used for the measurements
of graphene strain relaxation. The mica slab was bent/unbent to strain/unstrain
its outer surface. The subsequent time evolution of the strain in
single-layer and bilayer graphene pieces was followed with Raman spectroscopy.
The interfaces between graphene pieces and mica were filled with either
H2O or D2O films. The simplified sketches do
not show the molecular complexity of the H2O/D2O films hydrating the ionic mica surface.[20] (B) Typical Raman spectra recorded from single-layer graphene pieces
lying on an unstrained mica surface. The samples were exposed to 40%
RHs of H2O (red curve) or D2O (black curve)
vapors, in order to fill the interfaces with the respective molecular
films. The G and 2D peaks are labeled and the spectra are normalized
to the 2D peak heights. The peaks labeled with asterisks (*) originate
from a neon lamp and are used as calibration references. The inset
shows 2D versus G peak positions recorded on graphene monolayers.
The peak positions shown with red circles and black squares were recorded
on graphene monolayers on H2O and D2O films,
respectively, and on an unstrained mica surface. The cyan triangle
shows the 2D and G peak positions reported for uncharged and unstrained
graphene.[9] The gray squares are the peak
positions recorded during strain relaxation in a graphene monolayer
shown in Figure A.
The black, yellow, and red dashed lines are the expected shifts induced
by strain (slope 2.2), p-charge (slope 0.55) and n-charge (slope 0.2)
doping of graphene, respectively.[16] The
lines are guides for the eye.
Figure 2
2D peak position vs time for (A, B) single-layer and (C)
bilayer
graphene lying on (A, C) H2O and (B) D2O films.
The mica slab was bent in a few steps (green symbols) and then unbent
in one step (purple symbols). Open symbols show the expected 2D peak
positions assuming the graphene strain to match the mica surface strain,
and furthermore assuming Δw2D/Δε
= 64 cm–1/% and Δw2D/Δε = 64 cm–1/% for single-layers and
bilayers, respectively.[14,21] The orange dashed lines
exemplify fits with exponential decay functions; in B and C, the lines
correspond to an upper bound estimation for relaxation times (see
discussion). The vertical arrows show the 2D peak shifts expected
for graphene matching the mica surface strain. The horizontal error
bars show the time uncertainties for the delay between straining of
mica and recording of spectra. The vertical error bars are the sum
of the uncertainties of mica surface strain estimation and of the
scattering of peak positions due to limited precision of the Raman
laser spot manual repositioning. The horizontal black dashed lines
indicate the 2D peak position, expected for undoped and unstrained
graphene (cyan triangle in Figure B). (D) Not-to-scale sketch of an (H+ OH−) ion
pair proposed to clamp across graphene and hinder its sliding. The
simplified sketches do not show the molecular complexity of the films
hydrating the ionic mica surface.[20] Water
molecules at the interface thermally dissociate into protons and hydroxides.
The protons can permeate through graphene, forming a proton–hydroxide
electrostatically bound (dashed line) ion pair with the bond across
the graphene. Graphene is largely impermeable to deuterons, and thicker
graphenes are impermeable to both protons and deuterons, thus clamping
by the ion pairs should happen just for water at the single-layer
graphene–mica interface.
Here we want to gain a deeper understanding of
the lubricity of
a molecular water film at this model interface by comparing the properties
of films of ordinary water (H2O) with those of heavy water
(D2O). Most macroscopic physical properties of D2O and H2O are very similar. However, the difference in
the isotopic composition of the molecules results in a difference
of their vibrational frequencies, leading to differences in hydrogen
bonding strengths and consequently in viscosities of bulk liquids.
In bulk, D2O is roughly 1.2 times more viscous than H2O.[15] Therefore, one may expect
a D2O film to be less lubricating than an H2O film. Contrary to this expectation, we find that the lubricity
of a D2O film on a mica–graphene is at least one
order of magnitude higher than that of an H2O film.To prepare samples with either H2O or D2O
films filling the graphene–mica interfaces, we start from initially
dry samples and fill the graphene–mica interfaces with H2O or D2O films by exposing the samples to a mixture
of nitrogen gas and the respective vapors at a given partial pressure.
The samples were prepared in a glovebox filled with dry nitrogen,
and the samples were not exposed to ambient before or during the measurements
(see the Supporting Information). This
procedure guarantees a high purity of the intercalating films. Figure B shows typical Raman
spectra taken on single-layer graphene (SLG) on unbent mica after
exposure of the initially dry samples to H2O or D2O vapors with relative humidity (RH) of 40%. Such RH is high enough
to fill the graphene–mica interface with a uniform film of
H2O[9] and, as shown below, with
a uniform film of D2O as well. In in the following, we
show and analyze the G and 2D peaks, since they are intense and their
positions are rather sensitive to strain and charge doping of graphene.[14] For SLG on unbent mica, the spectra on H2O and D2O are nearly identical. Plotting the 2D
vs the G peak positions (inset to Figure B) is an efficient way to quantify graphene
strain and charge doping.[16] It was shown
previously that SLGs exfoliated directly onto a mica surface are charged
and strained, but filling the graphene–mica interface with
a uniform H2O film removes both the strain in graphene
and its charge doping.[9,17] The 2D and G peak positions recorded
for graphene pieces on D2O (Figure B inset, peaks at 1583 ± 0.5 cm–1 and 2677.4 ± 0.3 cm–1, respectively)
imply that the graphene pieces on D2O are practically uncharged
and unstrained,[9] as is the case for H2O. This is not astonishing, since most properties of D2O and H2O molecules, in particular their dipole
moments, are rather similar,[18,19] and thus the D2O film at the interface with the ionic mica surface should
be structurally similar to the H2O one.[20]The vanishing strain in the samples filled by H2O and
by D2O implies that both molecular films lubricate the
interface.[13] To further investigate their
lubricity, we study the kinetics of the strain relaxation. Thus, we
bend the mica substrate to a given curvature, and measure than the
strain of graphene as a function of time. In Figure , we plot the 2D peak positions as being more strain sensitive
versus time.2D peak position vs time for (A, B) single-layer and (C)
bilayer
graphene lying on (A, C) H2O and (B) D2O films.
The mica slab was bent in a few steps (green symbols) and then unbent
in one step (purple symbols). Open symbols show the expected 2D peak
positions assuming the graphene strain to match the mica surface strain,
and furthermore assuming Δw2D/Δε
= 64 cm–1/% and Δw2D/Δε = 64 cm–1/% for single-layers and
bilayers, respectively.[14,21] The orange dashed lines
exemplify fits with exponential decay functions; in B and C, the lines
correspond to an upper bound estimation for relaxation times (see
discussion). The vertical arrows show the 2D peak shifts expected
for graphene matching the mica surface strain. The horizontal error
bars show the time uncertainties for the delay between straining of
mica and recording of spectra. The vertical error bars are the sum
of the uncertainties of mica surface strain estimation and of the
scattering of peak positions due to limited precision of the Raman
laser spot manual repositioning. The horizontal black dashed lines
indicate the 2D peak position, expected for undoped and unstrained
graphene (cyan triangle in Figure B). (D) Not-to-scale sketch of an (H+ OH−) ion
pair proposed to clamp across graphene and hinder its sliding. The
simplified sketches do not show the molecular complexity of the films
hydrating the ionic mica surface.[20] Water
molecules at the interface thermally dissociate into protons and hydroxides.
The protons can permeate through graphene, forming a proton–hydroxide
electrostatically bound (dashed line) ion pair with the bond across
the graphene. Graphene is largely impermeable to deuterons, and thicker
graphenes are impermeable to both protons and deuterons, thus clamping
by the ion pairs should happen just for water at the single-layer
graphene–mica interface.Our key result is that the strain relaxation in
SLGs on H2O is at least an order of magnitude slower than
the strain relaxation
in SLGs on D2O. The corresponding results are shown in Figure . The strain relaxation
in graphene pieces on an H2O film is exponential with a
characteristic time of 8 ± 3 min (Figure A and Supporting Information).[13] The error margins here and in the
following are standard deviations (SD) characterizing the data scattering.
The relaxation on D2O is fast, beyond the temporal resolution
available in our experiments, and we can only provide the upper bounds
of the corresponding characteristic times.Within the simplest
mechanical model, the kinetics of strain relaxation
in the center of a graphene flake is exponential, ε(t) ∝ e–, with the characteristic relaxation time τ depending
on the flake’s size[13] as , where L is length of
graphene along the strain direction, h is its thickness, E is the elastic modulus of graphene, and α is the
viscous friction coefficient in units of force per unit area and per
unit velocity. From the friction coefficient, a shear viscosity can
be estimated[13] that corresponds to that
of pitch.[22]We measured 7 SLG pieces
on H2O. The characteristic
time scale τ of strain relaxation is obtained by fitting the
2D peak positions at different times with a three-parametric exponential
formwhere t0 is the
time at which mica was bent. Here (A+B) is the initial
2D peak position at t = t0, and B is the 2D peak position after full relaxation.
The values of B imply that the strains in graphene
did not converge to zero, but rather to a small average value of 0.03
± 0.02%, assuming Δw2D/Δε
= 64 cm–1 /%. The reason for the strains not to
converge to zero is not clear, yet the remaining strains are small
compared with the strains induced by mica bending, and we do not discuss
them in the following.In three investigated SLG samples on
D2O, the Raman
spectra acquired in less than 3 min after bending the mica substrate
revealed that the flakes were already practically unstrained. Subsequently
acquired spectra revealed no further change in strain (Figure B and Supporting Information). Thus, strain relaxation in the graphene pieces
on D2O happened within the time needed to restart the spectra
acquisition and to acquire the first Raman spectrum. This implies
that D2O films exhibit substantially higher lubricity at
the mica–SLG interface as compared with H2O ones.Mechanical exfoliation does not allow good control over the size
and shape of the graphene pieces. To compare the lubricity of the
D2O and H2O films, we selected graphene pieces
of roughly the same size (the length of graphene pieces along the
strain direction did not vary by more than a factor of 2). The average
lengths of graphene pieces were 8 ± 3 μm and 6 ± 2
μm for D2O and H2O, respectively. That
is, the size of SLG on D2O was slightly larger, and thus
one could expect slower strain relaxation, yet all three graphene
pieces on D2O relaxed much faster than the pieces on H2O.Nevertheless, we fitted all the strain vs time dependencies
for
D2O with our eq , like we did for H2O. For this, we assumed that
there was an initial strain in graphene at the time t0 matching the mica’s surface strain difference
induced by the bending steps. The characteristic relaxation time of
SLG strain on D2O was about 0.2 ± 0.3 min, which indicates
an order of magnitude faster relaxation compared with graphene on
H2O. Possibly, however, strain relaxation in graphene pieces
was even faster, i.e., it happened already during mica bending. Therefore,
the fits provide only upper bounds of the relaxation times. Similar
to H2O, the fits revealed that the strains in graphene
pieces did not relax to zero, the average residual frequency shift
corresponded to 0.01 ± 0.01%.As an additional check for
the explanation of the poor H2O lubricity under a graphene
monolayer provided below, we investigated
strain relaxation in bilayer graphenes (BLG) lying on a H2O film. Two BLG pieces with a size of 7 ± 2 μm were investigated.
Strain relaxation in both pieces was faster than our experimental
time resolution. The fits gave characteristic times of 0.6 ±
0.3 min for the BLGs on H2O. Thus, strain relaxation in
BLGs on H2O was also about an order of magnitude faster
than in graphene monolayers.To obtain further insight into
the difference between D2O and H2O lubricities,
we filled the graphene–mica
interface with mixtures of D2O and H2O. The
strain relaxation in graphene for 30 and 70% of H2O content
showed the same behavior as pure D2O and was faster than
our experimental time resolution. Only for 90% of H2O content
could we detect a tail of a rather fast relaxation with a time constant
of about 2 min in one of two graphene pieces (see the Supporting Information). This implies that the
difference in lubricities between H2O and D2O could be even larger than an order of magnitude.The giant
difference in the strain relaxation kinetics on water
and heavy water limited to graphene monolayers is rather surprising.
The h-dependence of τ implies that graphene
bilayers should relax strain two times faster than monolayers, assuming
that the lubricity of the liquid films does not depend on the thickness
of the cover. The contradiction of the implication with our results
suggests that this assumption is wrong. We will propose a mechanism
for this further below. Before, however, we discuss mechanisms that
possibly contribute but cannot explain the anomalously poor lubricity
of H2O film confined at the graphene monolayer–mica
interface.For samples prepared and kept in a clean and dry
environment (see
the Supporting Information), we cannot
expect the interfaces between graphene and mica to be significantly
contaminated.[9,23] Nevertheless, we do not completely
exclude any surface contamination of mica,[24,25] and thus of the interface, with organic molecules or carbon–water
complexes. However, the strong difference in friction between D2O and H2O cannot be attributed to sample contaminations,
because the sample preparations were identical, and thus sample contamination
densities should also be identical for D2O and H2O.We assume that both D2O and H2O do
not modify
the mica surface. Thus, strain in graphene pieces can relax due to
either sliding of the pieces on top of the lubricating films or strain
relaxation within the lubricating films. The second scenario implies
a drastic structural difference of the confined H2O and
D2O films, which we assume not to be the case due to a
known structural similarity of the bulk and of nanoconfined D2O and H2O.[26,27] Moreover, it implies
that the difference in lubricities should not depend on graphene thickness,
which contradicts our experimental findings. Even more, we expect
ionic mica to strongly interact with the polar H2O and
D2O molecules. Therefore, we assume graphene sliding on
top of the lubricating film.It has been experimentally shown
using scanning force microscopy
that hydrogen (H) passivated surfaces exhibited approximately 30%
higher friction applied to an AFM tip sliding the surface to compare
with deuterium (D) passivated ones.[28] The
differences were attributed to the difference in vibrational frequencies
of H and D adsorbates colliding with the sliding surfaces at different
rates, which determine different rates of conversion of kinetic energy
into heat. Even if water molecules became perfectly oriented by the
ionic mica surface with H (or D) pointing toward graphene, one might
expect only about 30% higher friction on H2O film compared
to D2O film, following the arguments in ref (28). That is, the mechanism
does not allow to explain the giant difference in the lubricities
we observe. Moreover, the mechanism was questioned by the argument
that the smaller momentum transfer by the lighter hydrogen per vibrational
cycle overcompensates for the faster collision rates.[29] Another possibly contributing phenomenon may be the difference
in the overlaps of the phonon spectra of graphene and mica with vibrational
modes of the lubricating molecules. From this, however, it is difficult
to predict an order of magnitude difference in friction.[30] Moreover, it does not allow us to explain why
the exceptionally poor lubricity of the H2O film is limited
to SLG. A different, recently proposed friction mechanism due to quantum
fluctuations leads to friction growing with the thickness of graphene,[5] which here is not the case.We propose
that the anomalously poor lubricity of H2O films at the
single-layer graphene–mica interface is related
to the high permeability of single-layer graphene to protons. Graphene
is well permeable to protons, but is at least an order of magnitude
less permeable for deuterons.[31,32] Moreover, both protons
and deuterons hardly permeate double-layer graphenes. We assume that
protons permeating through graphene form electrostatically bound ion
pairs with the hydroxides remaining on the other side of graphene
(Figure D). We propose
furthermore that the ion pairs clamped across graphene effectively
anchor the graphene in the water layer and hence reduce the lubricity
and slow down the strain relaxation.The proposed formation
of ion pairs clamped across the graphene
layer is expected to affect also other properties of the confined
H2O on the interface. Since the hydroxides are embedded
in the water film, the diffusion of the water molecules around them
should be hindered, and the effective coefficient of self-diffusion
should be lower, while the corresponding effective viscosity should
be higher. Further indication for a huge difference in this effective
viscosity is obtained from the behavior of the filling (draining)
of the graphene–mica slit pore, a process we refer to as wetting
(dewetting). Both, wetting and dewetting of the graphene-mica interface
with H2O has been detailed previously[33] (see also the Supporting Information for a detailed experimental description). Since liquid must enter
(exit) from the boundary of the graphene flakes, transport of liquid
within the graphene–mica slit pore is essential during wetting
(dewetting), and hence the effective viscosity of the system must
play a role in this process. In ref (33) the wetting (dewetting) was initiated by a change
of relative humidity (RH) of the environment, and then the graphene
layer imaged over time with atomic force microscopy (AFM) (see the Supporting Information for more details). Here,
the same experiments were performed with graphene flakes on mica using
either H2O or D2O vapor.In the case of
wetting, typical patterns are very similar for H2O and
D2O, see the Supporting Information. The water layer creeps from the edges under the
graphene and forms finger-like structures that evolve into a labyrinthine
pattern representing a structure close to equilibrium.[33] The evolution of this pattern is very slow and
can hardly be affected by the values of effective viscosity. At high
humidities, the water film closes to form a homogeneous layer.In the case of dewetting, in contrast, we find different patterns
for H2O and D2O films, if the humidity conditions
are selected properly. Here the patterns are due to the dry phase,
i.e. graphene directly attached to the mica with the water layer removed
(marked blue in Figure ). If RH is reduced from originally 40% by purging the measurement
chamber with nitrogen to almost 0% (“fast dewetting”),
both films, H2O and D2O, produce very similar
ramified fractal patterns with fractal dimensions of 1.7 (see the Supporting Information). However, if the RH is
decreased moderately from originally 40% to about 13% (“slow
dewetting”), we observe a strong difference in the dewetting
patterns. Only the patterns of SLG on H2O are ramified
with dimension 1.7 (Figure A), while the patterns of SLG on D2O are much more
compact (Figure B).
Also bi- and multilayer graphene on H2O or D2O show very compact dewetting patterns (see Figure C, D).
Figure 3
AFM topography images showing dewetting
patterns of single-layer
graphene on (A) H2O and (B) D2O, and (C)double-layer
graphene on H2O and (D) multilayer graphene on D2O. Graphene monolayers and bilayer are indicated with I and II, respectively. The dewetting patterns are colored
with blue color in A to C, and they are highlighted with blue dashed
lines in D. The color is a guide for the eye, the uncolored images
are shown in the Supporting Information with information on the depth of the dewetting patterns. The RH
was decreased moderately (“slow dewetting”, see text)
from 40 to 13% within 2 min, and then it was kept constant in A–C.
The growth of the dewetting patterns saturated on an hour time scale.
In D, the RH was also decreased slowly from 26 to 4% within 15 min;
then RH was decreased to 1% within 1 h. The H2O dewetting
patterns under graphene monolayer in A propagate in the shape of fractals
with a fractal dimension of about 1.7. The shape of dewetting patterns
in other cases is more compact with a fractal dimension around 1.85.
We explain the fractal dewetting patterns under the graphene monolayer
with a high effective viscosity of the H2O film at the
interface.
AFM topography images showing dewetting
patterns of single-layer
graphene on (A) H2O and (B) D2O, and (C)double-layer
graphene on H2O and (D) multilayer graphene on D2O. Graphene monolayers and bilayer are indicated with I and II, respectively. The dewetting patterns are colored
with blue color in A to C, and they are highlighted with blue dashed
lines in D. The color is a guide for the eye, the uncolored images
are shown in the Supporting Information with information on the depth of the dewetting patterns. The RH
was decreased moderately (“slow dewetting”, see text)
from 40 to 13% within 2 min, and then it was kept constant in A–C.
The growth of the dewetting patterns saturated on an hour time scale.
In D, the RH was also decreased slowly from 26 to 4% within 15 min;
then RH was decreased to 1% within 1 h. The H2O dewetting
patterns under graphene monolayer in A propagate in the shape of fractals
with a fractal dimension of about 1.7. The shape of dewetting patterns
in other cases is more compact with a fractal dimension around 1.85.
We explain the fractal dewetting patterns under the graphene monolayer
with a high effective viscosity of the H2O film at the
interface.The fractal growth of the dry phase during dewetting
was attributed
to diffusion limited aggregation (DLA),[33] to viscous fingering,[34] or even to water
crystal growth.[35] However, regardless of
the description of the mechanism, the dewetted phase has to grow at
the cost of displacement of the liquid phase and critically depends
on its effective viscosity. In experiments on viscous fingering, a
phase with low viscosity is growing into a phase of higher viscosity.[36] In two-dimensional lipid monolayers,[37] the growth is limited by the diffusion of impurities
within the liquid phase and hence corresponds to diffusion-limited
aggregation. In both cases, however, the pattern becomes more ramified
the larger the viscosity of the outer phase or the faster and higher
the jump in external driving force (difference in RH in our case).
Here, in the case of fast dewetting, the humidity
jump is fast enough for the given effective viscosities of both H2O and D2O to cause growth of ramified fractals.
For the slow dewetting, a difference in effective
viscosity becomes apparent, see Figure . It was shown by numerical simulations as well as
by experiments,[36] that under otherwise
comparable conditions, the viscosity of the outer phase must vary
by orders of magnitude, in order to induce changes in the morphology
and hence fractal dimensions as observed here. Therefore, we consider
the observed difference in dewetting structures for H2O
and D2O as a further indication of a giant increase in
the effective viscosity of the H2O compared to the D2O film. The finding of similar dewetting patterns for D2O and H2O below multilayer graphene (Figure ) indicates lower effective
viscosity. Hence, the dewetting experiments confirm that the giant
effective viscosity (connected with poor lubricity) is an outstanding
property of the single-layer graphene–H2O–mica
system.In conclusion, we demonstrate that H2O films
confined
at a single-layer graphene–mica interface show at least an
order of magnitude worse lubricity compared with D2O films
at the same interface and compared with H2O films at a
double-layer graphene–mica interface. The poor lubricity of
the H2O film is limited to graphene monolayers. Therefore,
the effect we report is important for understanding of the lubricity
of surfaces coated with single-layer graphene but has probably a limited
impact on H2O lubrication of bulk graphite. The results
of strain relaxation experiments are confirmed by the ones for dewetting
kinetics of the molecular films confined at the interfaces, which
can be explained by the higher effective viscosity of water in a mica–H2O–graphene system.We propose a model that qualitatively
explains the poor lubricity
of the H2O film, or the high effective viscosity of the
graphene H2O system, by the permeability of single-layer
graphene to protons. This permeability allows proton-hydroxide ion
pairs to form complexes separated by graphene. These ion pairs are
fixed with respect to lateral movement and hence present a solid obstacle
to the flow of the surrounding water layer. Lower permeability of
deuterons through graphene then results in lower concentrations of
the ion pairs, allowing for faster graphene sliding.The proposed
difference in the ion pair concentrations hindering
single-layer graphene sliding might further affect properties of graphene
monolayers exfoliated onto substrates. We expect the ion pairs to
increase adhesion and thus reduce buckling of single-layer graphenes
on hydrophilic substrates. Ion pairs might also add frictional forces
to, for example, AFM friction experiments. Furthermore, the proposed
ion pairs might also influence properties of bulk materials comprising
single-layer graphenes or other aromatic carbon materials. For example,
our work might contribute to the understanding of the lateral transport
of water and heavy water through graphene oxide membranes and their
selective permeation, which may be employed for water filtering.[38,39] Furthermore, similar phenomena can be expected for other proton-selective
2D materials like hexagonal boron nitride.
Authors: M Lozada-Hidalgo; S Hu; O Marshall; A Mishchenko; A N Grigorenko; R A W Dryfe; B Radha; I V Grigorieva; A K Geim Journal: Science Date: 2016-01-01 Impact factor: 47.728
Authors: Michele Ceriotti; Wei Fang; Peter G Kusalik; Ross H McKenzie; Angelos Michaelides; Miguel A Morales; Thomas E Markland Journal: Chem Rev Date: 2016-04-06 Impact factor: 60.622