Despite theoretical predictions that graphene should be impermeable to all gases, practical experiments on sealed graphene nanodrums show small leak rates. Thus far, the exact mechanism for this permeation has remained unclear, because different potential leakage pathways have not been studied separately. Here, we demonstrate a sealing method that consists of depositing SiO2 across the edge of suspended multilayer graphene flakes using electron beam-induced deposition. By sealing, leakage along the graphene-SiO2 interface is blocked, which is observed to result in a reduction in permeation rate by a factor of 104. The experiments thus demonstrate that gas flow along the graphene-SiO2 interface tends to dominate the leak rate in unsealed graphene nanodrums. Moreover, the presented sealing method enables the study of intrinsic gas leakage through graphene membranes and can enable hermetic graphene membranes for pressure sensing applications.
Despite theoretical predictions that graphene should be impermeable to all gases, practical experiments on sealed graphene nanodrums show small leak rates. Thus far, the exact mechanism for this permeation has remained unclear, because different potential leakage pathways have not been studied separately. Here, we demonstrate a sealing method that consists of depositing SiO2 across the edge of suspended multilayer graphene flakes using electron beam-induced deposition. By sealing, leakage along the graphene-SiO2 interface is blocked, which is observed to result in a reduction in permeation rate by a factor of 104. The experiments thus demonstrate that gas flow along the graphene-SiO2 interface tends to dominate the leak rate in unsealed graphene nanodrums. Moreover, the presented sealing method enables the study of intrinsic gas leakage through graphene membranes and can enable hermetic graphene membranes for pressure sensing applications.
In the past
decade, there has
been a growing interest into the use of 2D materials as ultrathin
membranes for separation and filtration of gases and ionic solutions.
In particular, graphene has been at the focus of these studies because
of its exceptional mechanical strength[1] and its impermeability to ions[2] and gases.[3]However, in previous studies of gas permeability
of 2D materials,
small leak rates of unknown origin have been observed even in the
absence of defects or pores,[3−10] making it difficult to determine the intrinsic gas permeability
of the graphene membrane or its pores. This inherent gas leakage also
hinders the application of graphene membranes in ultrasensitive pressure
sensors because these sensors require a hermetically sealed cavity
that contains a fixed amount of reference gas.[3,4,6,9,11,12]Here, we show
that the leak rates of graphene cavities can be significantly
reduced by depositing glass (SiO2) across the edges of
an exfoliated multilayered-graphene (MLG) flake using an electron
beam-induced deposition (EBID) technique. Device fabrication and sealing
methodology are described and leak rate measurements using resonance
frequency analysis are presented. By comparing leak rates of sealed
and unsealed cavities, the effectiveness of the sealing method is
assessed and the dominant pathway for gas leakage into graphene cavities
is identified. This work thus presents strong evidence that gas permeation
along the graphene-SiO2 interface is the dominant leakage
pathway, and provides a route toward eliminating this leakage.
Gas Leakage
Pathways
Although gas leak rates into and
out of graphene sealed cavities have been investigated in several
studies,[3,7,13,14] the leakage pathway and mechanism by which gas permeates
into the cavity is still under debate. Figure a schematically illustrates the three potential
leakage pathways along which gas leakage can occur:[3] (1) through the graphene, (2) through the SiO2, and (3) along the graphene–substrate interface.
Figure 1
(a) Illustration
showing the three possible leakage pathways through
which gases can leak. Blue: Path 1, through the defects in graphene.
Green: Path 2, through the oxide. Red: Path 3, along the interface
between graphene and the substrate. (b) Schematic showing the sealing
procedure. (b1) Cavity is etched into a SiO2/Si substrate
using standard e-beam lithography followed by reactive ion etching.
(b2) MLG is deterministically transferred onto the cavity. (b3) Electron
beam is scanned over the edge of MLG–SiO2 interface
while gas injection system (GIS) introduces tetraethyl orthosilicate
(TEOS), resulting in local deposition of SiO2. (c) Schematic
of the interferometry setup. Sample is mounted in a sample chamber
(SC) where the pressure is regulated by the pressure controller (PC)
and the arbitrary waveform generator (AWG). A modulated blue laser
with wavelength of 405 nm optothermally heats the suspended membrane.
Intensity modulations in the reflected red laser light (λ =
633 nm), caused by the graphene motion, are measured by the photodiode
(PD) and sent to the vector network analyzer (VNA). PBS, polarized
beam splitter; DM, dichroic mirror.
(a) Illustration
showing the three possible leakage pathways through
which gases can leak. Blue: Path 1, through the defects in graphene.
Green: Path 2, through the oxide. Red: Path 3, along the interface
between graphene and the substrate. (b) Schematic showing the sealing
procedure. (b1) Cavity is etched into a SiO2/Si substrate
using standard e-beam lithography followed by reactive ion etching.
(b2) MLG is deterministically transferred onto the cavity. (b3) Electron
beam is scanned over the edge of MLG–SiO2 interface
while gas injection system (GIS) introduces tetraethyl orthosilicate
(TEOS), resulting in local deposition of SiO2. (c) Schematic
of the interferometry setup. Sample is mounted in a sample chamber
(SC) where the pressure is regulated by the pressure controller (PC)
and the arbitrary waveform generator (AWG). A modulated blue laser
with wavelength of 405 nm optothermally heats the suspended membrane.
Intensity modulations in the reflected red laser light (λ =
633 nm), caused by the graphene motion, are measured by the photodiode
(PD) and sent to the vector network analyzer (VNA). PBS, polarized
beam splitter; DM, dichroic mirror.Although gas leakage through chemical vapor deposition (CVD) grown
graphene (see path 1 in Figure a) has been reported to occur,[13,15,16] it is probable that this leakage is not so much an
intrinsic property of pristine graphene but is due to imperfections
and defects in the CVD grown graphene. Evidence that leakage through
crystalline graphene (or its defects) is not the dominant leakage
pathway was provided by experiments on exfoliated natural graphene
flakes of different thicknesses.[3] These
experiments demonstrated a thickness independent leak rate, whereas
according to Fick’s first law the permeation rate is expected
to be inversely proportional to thickness and in case permeation is
mediated by a small number of pores/imperfections an even stronger
thickness dependence is expected. This experiment therefore excluded
path 1 as a dominant leakage pathway.By gas-dependent measurements,
it was observed that the leakage
rate for He gas was much higher than for other gases.[3] Because SiO2 is known to be permeable for He,[17] it was hypothesized that for all types of gases,
leakage into the cavity was dominated by permeation through the SiO2 substrate (see path 2 in Figure a).[3] However,
there was no method available to distinguish between permeation of
gas along the interface between graphene and SiO2 substrate
(see path 3 in Figure a) and permeation through the substrate itself. On the basis of these
observations, leakage along the SiO2–graphene interface
can therefore not be ruled out. By studying permeation rates before
and after sealing the interface between graphene and SiO2 (see path 3 in Figure a), we aim to identify whether path 2 or path 3 is the dominant leakage
pathway.
Sealing Method
In order to investigate these gas leakage
pathways, circular cavities with a depth of 285 nm and diameters of
5 and 10 μm are fabricated in a 285 nm thick SiO2 layer, grown by dry oxidation of a silicon (100) wafer (Figure b1). Subsequently,
MLG flakes are exfoliated from naturally occurring bulk graphite and
suspended over the cavities by a dry transfer method[18] (Figure b2). We use MLG exfoliated from naturally occurring bulk graphite
with thicknesses ranging from 2 layers to 8 nm to ensure that the
permeation we observe is not due to the permeation through the defects
along pathway 1.After initial characterization of the unsealed
graphene drums, we seal the cavities to prevent external gas from
entering the interface between graphene and SiO2 (Figure b3). For this purpose,
we developed a sealing method for locally covering the edge of the
graphene flake by an additional SiO2 layer using EBID of
tetraethyl orthosilicate (TEOS) (discussed in more detail in Methods).
Experimental Setup
To test the hermeticity
of the graphene
drums, we used the suspended graphene drum as a differential pressure
sensor.[3,4,11,12] When a pressure difference is present across suspended
graphene, tension is induced in the material that causes a change
in the resonance frequency. To measure the resonance frequency of
our devices, we use the laser interferometry setup shown in Figure c.A modulated
blue laser diode (λ = 405 nm) is used to optothermally actuate
the MLG membrane. The motion of the graphene membrane is detected
using a red He–Ne laser with wavelength, λ = 633 nm.
The motion of the suspended graphene modulates the reflected red laser
intensity via its position-dependent absorption of the standing light
wave.[19] This modulated light is collected
at the photodiode (PD) and read by the vector network analyzer (VNA).
The pressure Pext inside the sample chamber
(SC) is controlled by the output from the arbitrary waveform generator
(AWG) that drives the pressure controller (PC). The PC then regulates
the pressure inside the SC with a vacuum pump and a gas supply (N2 or He).
Results
Hermeticity
Tests of Graphene Cavities
Figure shows measurements of the
pressure response of device 1 in N2 atmosphere before (Figure a–c) and after
sealing (Figure d−f).
We observe significant changes in the fundamental resonance frequency fres of more than 30 MHz, as chamber pressure
is varied from 0 to 1000 mbar. Figure b shows the time-dependent resonance frequency in response
to a triangular pressure waveform with a period of 1000 s. Before
sealing, the resonance frequency exhibits hysteresis (Figure b), which is attributed to
leakage, that causes Pint to vary in time,
thus resulting in different pressure ΔP = Pext – Pint across the membrane at the same value of Pext. In Figure c the same device is exposed to pressure steps of 50 mbar. Each step
in pressure results in a sudden increase in frequency followed by
an exponential decay that is attributed to gas leakage. By fitting,
an average leakage time constant τ = 31 ± 4 s is found
for N2 (see Supporting Information S1).
Figure 2
Top row: device 1 and its experimental data before sealing. Bottom
row: device 1 and its experimental data after sealing. (a) SEM image
of the device before sealing. Inset: AFM profile showing the step
height of the MLG flake. (b) Fundamental resonance frequency (black)
of the nonsealed graphene resonator while the chamber pressure (red)
is swept in triangular waveform with period of 1000 s. (c) Fundamental
resonance frequency (black) of the sealed graphene resonator after
50 mbar step increases in chamber pressure (red). (d) Optical image
of the device after sealing. Because of a slight drift in the e-beam
during the EBID process, the deposition was off-centered which left
some part of the MLG edge exposed. In order to correct this and fully
cover all the edges, a second EBID step was necessary which resulted
in two layers of SiO2 in some areas (yellow, first layer;
green, second layer). (e) Same procedure as in (b) after sealing.
(f) Resonance frequency shift in response to a single 50 mbar step
pressure increase.
Top row: device 1 and its experimental data before sealing. Bottom
row: device 1 and its experimental data after sealing. (a) SEM image
of the device before sealing. Inset: AFM profile showing the step
height of the MLG flake. (b) Fundamental resonance frequency (black)
of the nonsealed graphene resonator while the chamber pressure (red)
is swept in triangular waveform with period of 1000 s. (c) Fundamental
resonance frequency (black) of the sealed graphene resonator after
50 mbar step increases in chamber pressure (red). (d) Optical image
of the device after sealing. Because of a slight drift in the e-beam
during the EBID process, the deposition was off-centered which left
some part of the MLG edge exposed. In order to correct this and fully
cover all the edges, a second EBID step was necessary which resulted
in two layers of SiO2 in some areas (yellow, first layer;
green, second layer). (e) Same procedure as in (b) after sealing.
(f) Resonance frequency shift in response to a single 50 mbar step
pressure increase.These measurements are
repeated on the same device after sealing
the edges of the MLG flake by TEOS (Figure d). After covering the edges, hysteresis
is eliminated (Figure e) and the resonance frequency closely and reproducibly follows the
applied pressure changes in Pext. Furthermore,
no apparent decay in the resonance frequency is observed after a 50
mbar pressure step as shown in Figure f. This shows that the cavity is hermetically sealed
or at least that the permeation is greatly suppressed. The absence
of hysteresis in Figure e and the absence of a frequency decay in Figure f indicates that after sealing, the internal
pressure Pint inside the cavity is thus
constant within our measurement accuracy, enabled by the leak-tight
seal between graphene and the EBID deposited SiO2.
Pressure
Sensing with Sealed Graphene Drums
Sealing
of the graphene drum allows a more accurate study of the performance
of the device as a pressure sensor. We first analyze the pressure
response, and subsequently determine its precision as a pressure sensor. Figure a–c shows
the frequency, responsivity, and Q-factor of device 1 as a function
of external pressure. Once the cavity is sealed, the pressure difference
between the outside and inside of the cavity greatly affects the tension
of the membrane which affects the resonance frequency. If the pressure
inside is higher, the membrane deflects upward (pressure regime highlighted
in pink), which causes the membrane to stretch and the tension to
increase. If the pressures outside and inside the cavity are equal,
the membrane is flat (regime in green) and the membrane has minimum
tension. Finally, if the pressure outside is larger, the membrane
deflects downward (regime in yellow) which causes the membrane to
stretch, resulting in higher tension in the membrane. The resonance
frequency (Figure a) and Q-factor (Figure c) show minima near Pext = 42
mbar, indicative of Pint ≃ 42 mbar.
Figure 3
(a) Pressure Pext dependence of the
resonance frequency of device 1 shown in Figure . Plotted in red and blue circles are the
pressure response of the resonance frequency while increasing and
decreasing pressure, respectively. The analytical fit, based on the
resonance frequency of a pressurized circular membrane is plotted
in green. The fit parameters, E, n0, and P0 extracted from the
analytical model are used in a FEM simulation (dashed black line).
Inset: zoom-in near the minimum. (b) Differential responsivity (df/dP) plotted in red and blue circles and
derivative of the analytical solution from (a) plotted in green. Inset:
zoom-in near P0. (c) Q-factor as a function
of pressure. Inset: zoom-in near the minimum. (d) Optical image of
a sealed device (device 2) which consists of only 2 layers of graphene.
Scalebar: 25 μm. (e) Plots similar to (a) are measured continuously
over 55.7 h using triangular pressure sweeps with a period of 10000
s. (f) P0 is traced over 55.7 h and fitted
to an exponential resulting in a time constant of τsealed = 2.88 × 105 seconds.
(a) Pressure Pext dependence of the
resonance frequency of device 1 shown in Figure . Plotted in red and blue circles are the
pressure response of the resonance frequency while increasing and
decreasing pressure, respectively. The analytical fit, based on the
resonance frequency of a pressurized circular membrane is plotted
in green. The fit parameters, E, n0, and P0 extracted from the
analytical model are used in a FEM simulation (dashed black line).
Inset: zoom-in near the minimum. (b) Differential responsivity (df/dP) plotted in red and blue circles and
derivative of the analytical solution from (a) plotted in green. Inset:
zoom-in near P0. (c) Q-factor as a function
of pressure. Inset: zoom-in near the minimum. (d) Optical image of
a sealed device (device 2) which consists of only 2 layers of graphene.
Scalebar: 25 μm. (e) Plots similar to (a) are measured continuously
over 55.7 h using triangular pressure sweeps with a period of 10000
s. (f) P0 is traced over 55.7 h and fitted
to an exponential resulting in a time constant of τsealed = 2.88 × 105 seconds.In order to relate the pressure dependence of the observed resonance
frequencies to the properties of the graphene, we employ a theoretical
model to fit the experimental data. The analytical expression for
the deflection of a circular membrane subjected to a uniformly distributed
pressure across the membrane ΔP iswhere xs is the
static deflection at the center of the drum, h is
the thickness, a is the radius of the drum, n0 is the pretension, and E is
the Young’s modulus (see Supporting Information S2 for derivation).After determining the deflection xs from eq , we calculate
the fundamental resonance frequency of a tensioned circular drum with
respect to static deflection xs caused
by uniform external load of ΔP using[20]where k1 = 4.8967n0 is
the linear spring constant, is the third order spring
constant, m = 0.8467ρa2h is the modal mass,[20] and ρ is the
density of the membrane (see Supporting Information S2 for derivation).Figure a shows
a comparison of experimental data (red and blue circles) and fitted
curves based on eq and
finite element method (FEM) simulations. To obtain these curves, we
first extract the pretension n0 in the
membrane. In order to find n0 in the membrane,
we consider the case where the resonance frequency is minimum (ΔP ≃ 0). The minimum in the frequency, fres,min = 10.9 MHz, corresponds to the membrane in the
flat (xs = 0) configuration. Using this
pretension, the thickness h = 7 nm determined from
AFM, and the density of graphite ρ = 2300 kg/m3,
we fit eq to the data
resulting in a cavity pressure of Pext(f = fmin) = P0 = 41.7 ± 0.6 mbar and Young’s
modulus of E = 137.4 ± 0.7 GPa. In Discussion, potential causes for the low value of
the experimentally extracted Young’s modulus are analyzed.
With the same parameters, we numerically simulate the pressure response
of a circular membrane to obtain the FEM simulations shown in Figure a. The effect of
the membrane deflection on Pint and the
effect of squeeze film damping on the resonance frequency are relatively
small (estimated systematic error less than 5%) and are therefore
not included in the simulation. The FEM results plotted in Figure a as dashed lines
are in close agreement with the measurements and eq .It is notable that the pressure dependence
of the resonance frequenecy
in these devices is very large.[3] At P0, the frequency of the relaxed graphene membrane
is 10.9 MHz and when the pressure difference is at a maximum, the
resonance frequency of the strained graphene membrane is 48.4 MHz.
Using the measured f(Pext), we can estimate the responsivity of the sealed pressure sensor.
Over the full range from Pext = P0 to 1000 mbar, we find an average responsivity
of 39.2 kHz/mbar whereas the maximum differential responsivity can
be as high as 136 kHz/mbar (Figure b). Compared to the graphene-based squeeze-film pressure
sensor previously reported,[11] which was
already 45 times more sensitive than the state of the art MEMS squeeze-film
pressure sensors, this sealed pressure sensor is a factor of 15 more
responsive, demonstrating the potential of fully sealed membranes
of 2D materials for pressure sensing applications.
Long-Term Stability
We study the long-term stability
of the resonance frequency of the devices, because stability is essential
for pressure-sensing applications. In Figure d–f, we show measurement results on
a sealed device, with a duration of 55.7 h. The measured device, device
2 shown in Figure d, is the thinnest device we fabricated, being only two layers thick
(see Supporting Information S3). This device
had a leakage time constant of 26 ± 3 s before sealing (see Supporting Information S4) which is considerably
shorter than those observed in other works.[3,8] After
sealing, the fundamental resonance frequency was measured continuously
while Pext was swept from 0 to 1000 mbar
in a triangular waveform with a period of 10000 s. We determined the
pressure at minimum frequency (P0) for
each sweep during the whole experiment (Figure e). Thus, we observed P0 increasing from 48.3 to 83.1 mbar in 55.7 h (Figure f). The time constant as obtained
from an exponential fit is 2.88 × 105 seconds (∼80
h), which is a factor of 1.11× 104 longer than the
leakage time constant before sealing.When He is used, we observe
a decay time-constant τ ≃ 72.2 s of the resonance frequency
after sealing with TEOS, which is much shorter than that for N2 gas (see Supporting Information S5). The sealing procedure only reduces the leak rate by a factor 10
for He gas. This lower effectivity of the sealing procedure can be
attributed to leakage of He through TEOS and thermal oxide, because
He gas is known to be able to diffuse through SiO2 layers.[17]
Discussion
Eventually the goal of
any sealing procedure
is to reach a situation where the graphene cavity is leak-tight for
many years. However, judging from Figure f, it can be seen that the cavity pressure P0 is slowly increasing as a function of time,
which could be an indication of slow gas leakage into the membrane
over periods of hours. Alternatively, the increase of pressure inside
the membrane might also result from another effect. If the membrane
is slowly slipping and sagging into the cavity, the enclosed volume
of gas would slowly decrease as a function of time. For a fixed temperature
and amount of gas molecules, the product of pressure and volume PintVint is constant
according to Boyle’s law, and therefore such a decrease in
volume would be accompanied by an increase in pressure. So two hypotheses
might account for the observed increase in pressure: gas leakage and
sagging of the membrane resulting in cavity volume reduction. To verify
which of these hypotheses can account for the observed pressure increase
in Figure f, we carried
out microscopy and Raman studies on the membranes at the start and
end of the experiment.Sealing is performed in a high vacuum
SEM environment for a period of ∼1 h, which results in a near-vacuum
state inside the sealed cavity. After sealing, when the sealed device
is exposed to the atmospheric pressure, the large pressure difference
causes the membrane to bulge down. The resulting curvature of the
membrane is clearly visible, as an optical contrast[10] difference between the center and the edges of the drum,
as shown in the optical microscope image in Figure a, that is taken within 10 min after EBID.
The curvature of the membrane is also verified in an AFM scan of a
similarly sealed device (see Supporting Information S6). When the device is exposed to the overpressure for a prolonged
time (about 2 months) the bulged down membrane eventually adheres
to the bottom of the cavity as evidenced by the optical microscopy
image in Figure b.
Raman mapping has been employed to study the changes in the lateral
strain distribution due to the membrane collapsing. A Raman map shown
in Figure c indicates
that the suspended part of the graphene is initially under tensile
strain, as evidenced by the lower value of the G-peak Raman wavenumbers
(see Supporting Information S7).[21] The regions surrounding this tensile membrane
exhibits comparably lower strain. However, after 2 months of constant
overpressure, the Raman wavenumbers in the surrounding region are
shifted downward (Figure d), indicating higher tensile stress, and the membrane adhered
to the bottom of the cavity.
Figure 4
Raman mapping study of a sealed graphene drum
(device 1) before
and after ∼2 months in ambient conditions. (a) Optical image
of the sealed device with area under Raman study highlighted in red.
(b) Optical image of the same drum after ∼2 months in ambient
conditions. Scale bars are 10 μm. (c) Raman mapping of the sealed
drum; the G peak is used for mapping. Surrounding the bulged down
membrane (under tensile strain) are regions of compressive strain,
evidenced by the unusually high G peak position. (d) Raman mapping
of the sealed drum after ∼2 months of being in ambient conditions.
Areas surrounding the drum are relaxed and the center of the membrane
touches the cavity bottom.
Raman mapping study of a sealed graphene drum
(device 1) before
and after ∼2 months in ambient conditions. (a) Optical image
of the sealed device with area under Raman study highlighted in red.
(b) Optical image of the same drum after ∼2 months in ambient
conditions. Scale bars are 10 μm. (c) Raman mapping of the sealed
drum; the G peak is used for mapping. Surrounding the bulged down
membrane (under tensile strain) are regions of compressive strain,
evidenced by the unusually high G peak position. (d) Raman mapping
of the sealed drum after ∼2 months of being in ambient conditions.
Areas surrounding the drum are relaxed and the center of the membrane
touches the cavity bottom.The collapsing of the membrane on the cavity bottom supports the
second of the two hypotheses listed above because if there were small
pinholes or defects, through which gas leaks at small rates, then
over time, Pint and Pext would equilibrate and the initially downward bulged
membrane would become flat. However, we observe that the membrane
collapsed to the cavity bottom and that the MLG in the nearby region
became more strained. A potential explanation for the observed sagging
of the graphene membrane is that the high, pressure-induced, tensile
strain in the suspended graphene pulls the layer, such that it slides
into the cavity until it touches the bottom of the cavity. During
this motion the strain distribution in the MLG can change and the
graphene edge might also slowly move with respect to the TEOS. Another
effect that might play a role is that creep may be occurring in the
graphene, either due to dislocation motion, or due to mutual slipping
of graphene layers with respect to each other in the MLG. The increase
in pressure Pint = P0 in Figure f can thus be at least partly but maybe even completely attributed
to the volume reduction due to sagging.The obtained value of
the Young’s modulus from the fit is
so much lower than the well-established literature value of around E = 1 TPa that we suspect that the assumptions underlying
the continuum model are not adequately capturing the true membrane
physics. Potential causes for this discrepancy include wrinkles (observed
around the edge of the membrane as can be seen from Raman measurements
in Figure c,d), material
residues from the transfer or sealing method, and non-perfect clamping
of the edge of the membrane causing elastic sliding of the suspended
part of the membrane near the edge. This last effect seems especially
likely considering the observation of the collapse of the membrane
under prolonged exposure to high pressures in Figure b. The resulting value for the Young’s
modulus from the fit in Figure a is therefore not an accurate representation of the actual
material properties. It rather shall be seen as an equivalent
property representing a continuum mechanics model that fits the observed
physics.In conclusion, we demonstrate in this work that the
N2 leakage rate can be drastically reduced (by a factor
>104) by sealing the edge of graphene with TEOS. Because
leakage through
the thermal oxide would not be significantly blocked by the TEOS,
we can also conclude from these results that the dominant leakage
pathway is along the interface between graphene and SiO2. From long-term hermeticity tests, it is found that the internal
pressure inside the graphene sealed cavity does still increase in
time. Although small leakage might still play a role, sagging of the
membrane is also identified as a potential contributor for pressure
increase and eventual device failure due to membrane collapse. By
presenting a sealing method for graphene membranes, the current work
sets steps toward improved permeability characterization of 2D materials
and toward new sensors based on impermeable ultrathin membranes.
Methods
Device
Fabrication
A silicon wafer with 285 nm dry
oxide is spin coated with positive e-beam resist and exposed by electron
beam. After development, the unprotected SiO2 is completely
etched using CHF3 and Ar plasma in a reactive ion etcher.
After resist removal, graphene is then transferred using a deterministic
dry stamping technique.Sealing the graphene drum is performed
in the FEI Helios G4 CX system at 15 kV and 11–88 nA current
with a gas injection system (GIS) containing tetraethyl orthosilicate
(TEOS) and H2O. H2O has been added to TEOS for
purity enhancement of EBID deposited material.[22,23] A range of 100–150 nm of SiO2 have been deposited
which took more than 30 min to deposit.
Authors: Martin Lee; Martin P Robin; Ruben H Guis; Ulderico Filippozzi; Dong Hoon Shin; Thierry C van Thiel; Stijn P Paardekooper; Johannes R Renshof; Herre S J van der Zant; Andrea D Caviglia; Gerard J Verbiest; Peter G Steeneken Journal: Nano Lett Date: 2022-02-04 Impact factor: 11.189