Scanning probe-assisted patterning methods already demonstrated a high degree of capabilities on submicrometer scales. However, the throughput is still far from its potential because of complexity or fragility of the probes for exploiting thermal effects, chemical reactions, and voltage-induced processes in various patterning operations. Here, we present a new approach to thermomechanical patterning by implementing a multitasking atomic force microscopy (AFM) probe: the functionalized planar probes. In this method, we can generate a tunable thermal gradient between the tip and the sample, wherein they remain in the noncontact regime. In principle, the capillary instability provoked by the van der Waals interaction yields a pull-off force toward the tip. Hence, locally rising protrusions form features at any selected position on a polymer surface without any chemical reaction or irreversible transformation. These multitasking probe-integrated AFMs can pave the way for a remarkable freedom in determining the operation regime on submicrometer surface-patterning applications.
Scanning probe-assisted patterning methods already demonstrated a high degree of capabilities on submicrometer scales. However, the throughput is still far from its potential because of complexity or fragility of the probes for exploiting thermal effects, chemical reactions, and voltage-induced processes in various patterning operations. Here, we present a new approach to thermomechanical patterning by implementing a multitasking atomic force microscopy (AFM) probe: the functionalized planar probes. In this method, we can generate a tunable thermal gradient between the tip and the sample, wherein they remain in the noncontact regime. In principle, the capillary instability provoked by the van der Waals interaction yields a pull-off force toward the tip. Hence, locally rising protrusions form features at any selected position on a polymer surface without any chemical reaction or irreversible transformation. These multitasking probe-integrated AFMs can pave the way for a remarkable freedom in determining the operation regime on submicrometer surface-patterning applications.
Atomic force microscopy
(AFM) is already beyond being just an extensively
used imaging and characterization method because it can also function
as a tool for surface manipulation and patterning on submicrometer
scales. The advent of probe-assisted surface tailoring, known as scanning
probe lithography (SPL),[1] opened the way
for advanced surface tailoring of various materials either reversible
or irreversible. Particularly, an SPL application named as AFM-assisted
polymer patterning governed by the material accumulation or dissipation
by mass transport over thermally softened polymer surfaces is an example
of such reversible patterning. It is locally controlled by tuning
capillary effects and van der Waals forces in the region between the
tip and the sample (Figure ).
Figure 1
(a) Heat dissipation from the tip softens a volume of the paraffin
surface, and then, (b) pull-off force (F) raises
a protrusion toward the probe in the presence of local instability,
while the feedback control is still on. This provisional protrusion
(c) solidifies rapidly when the heating is switched off and forms
a surface feature on the paraffin surface.
(a) Heat dissipation from the tip softens a volume of the paraffin
surface, and then, (b) pull-off force (F) raises
a protrusion toward the probe in the presence of local instability,
while the feedback control is still on. This provisional protrusion
(c) solidifies rapidly when the heating is switched off and forms
a surface feature on the paraffin surface.In this paper, we report a new and reliable implementation of the
AFM-assisted polymer patterning process with a hot AFM probe in the
noncontact regime. To get this functionality, we have developed planar
AFM probes suitable for the temperature control. Using this method,
the surface patterning consist of two steps: the creation of surface
instability of the locally softened polymer (Figure a,b)., and freezing the resulting surface
feature after the tip heating is switched off (Figure c). Although the idea behind the SPL seems
to be simply based on controllable tip–surface interaction
at the phase transition of the polymer, so far, the successful AFM-assisted
applications required complex add-on systems. For instance, AFMEN[2−4] carries out electrostatic nanolithography by heating up the whole
sample externally in the presence of a strong electric field. On the
other hand, MILLIPEDE[5,6] and its successor Nanofrazor[7] systems provide thermomechanical writing by pressing
the heatable AFM tip locally on polymer surface for patterning indentations.
However, significant structural changes on an entirely heated sample
during phase transition or mechanically pressed indentations by a
multiple hot-tip system obviously limit the operations with shape-memory
polymers[8] in terms of compatibility, repeatability,
and recoverability.In our view, the combination of the principles
of AFMEN and MILLIPEDE
approaches, yielding surface protrusions by localized pull-off forces
acting on the thermally activated surface, and indentations by pressing
a hot tip in the surface, respectively, would have several advantages
for a reliable AFM-assisted polymer patterning. Because a sharp tip
is the ultimate component of an AFM, the idea behind our design is
to concentrate the thermally induced activation influence only at
the tip end. We therefore developed functionalized probes that can
induce the instant rise of temperature reaching up to the glassing
transition or melting of most polymers only at the very end of the
tip provoking the phase transition of the polymer in a very constricted
area of the sample. In contrast to the approaches mentioned above,
this phase transition occurs under the tip but without any mechanical
contact with it. On the other hand, our probes are able to operate
under feedback control during the thermal activation, while the tip
keeps oscillating with the frequency of 32 kHz in the noncontact regime.
Therefore, this periodical close interaction under thermal activation
can yield growth upward while preventing an undesired contact between
the tip and the surface contrary to MILLIPEDE and Nanofrazor approaches.The multitasking tip capable of thermal control at the tip without
disfunctioning the force sensor due to overheating can be realized
at efficient thermal decoupling of the tip and the force sensor. The
traditionally used AFM tips are made of bulk silicone attached to
a Si-based cantilever (Figure a) or small pieces of metallic wires glued on a quartz tuning
fork force sensor (Figure b). Unfortunately, both are not suitable for any dedicated
multilead connection neither for controlling the tip temperature nor
feedback regulation during heating for a stable operation. The realization
of this function requires: (1) tailoring of the conductive structure
of the tip providing electrical access via auxiliary connection and
(2) maximal decoupling at the force sensing system from thermoactive
elements.
Figure 2
Traditional AFM probes: (a) conventional silicon-based cantilever
with a conical tip (20 μm), (b) tuning fork force sensor with
a needle-like tip (200 μm), and our new approach: (c) rebalanced
tuning fork force sensor attached carrying an oversize probe (2 mm)
with a relatively flat and wide surface, which is suitable for functionalization.
Traditional AFM probes: (a) conventional silicon-based cantilever
with a conical tip (20 μm), (b) tuning fork force sensor with
a needle-like tip (200 μm), and our new approach: (c) rebalanced
tuning fork force sensor attached carrying an oversize probe (2 mm)
with a relatively flat and wide surface, which is suitable for functionalization.In principle, the first requirement can be provided
by additional
lithography of the probes as it has been done for a number of functionalized
cantilevers[9] in order to get thermoresistive,
Hall-probe, or electrochemical sensing. However, especially the thermal
decoupling for high heat dissipating processes is a real problem for
cantilever-based force sensors. Therefore, we made the choice for
quartz tuning fork force sensors. For such configuration, the tailoring
of the needle-like probe is also possible as, for example, realized
in the scanning near-field optical microscopes[10] or electrochemical SPM.[11] Nevertheless,
they are not efficient in use yet. Actually, the needle-like shape
of the tip is the main obstacle for reliable structuring. With regard
to this problem, in our approach, we replace the needle-like tips
(Figure a,b) by the
thin-film planar probes (Figure c) with extra tailoring: the functionalized planar
probes (FPPs) conjugated with quartz tuning forks.Schematics of each steps
of the FPP fabrication. (a–c) Atomically
sharp tip is formed at the intersection of the two cleaved sides.
(d,e) Thin film is tailored close to the tip using (f) electroerosion
and (g) focused ion beam (FIB) in order to form a bridge structure.
(h) Two identical prongs of the tuning prong are (i) rebalanced by
changing the length of the one carrying the extra mass (me). After all, (j) the leads on the prongs are modified.
The upper prong with the bronze-colored leads are used to run scan
and force sensing. The lower prong with the gold-colored leads are
exploited to have electrical access to the tip end via silver paste.The FPP is a piece (up to 2 × 2 mm2) of a chip
with a very sharp corner which is used to scan the surface. The sharpness
of this probe is good enough to obtain atomic resolution in STM as
confirmed in our previous report.[12] We
succeed to fix the FPP on a modified quartz tuning fork force sensor
(Figure c) and utilize
it also in AFM. The FPP can easily be tailored because it has planar
geometry with a relatively wide and flat face. We fabricated two electrodes
on the chip connected by a narrow conducting bridge near the tip end.
By driving current through this structure, we are able to generate
a local temperature gradient at the tip apex. Therefore, we can simultaneously
induce local heating such as in MILLIPEDE,[5,6] and
the interaction force control between the tip and the softened surface
such as in AFMEN.[2−4] The details of our technique are described in the Methods section.Another essential ingredient
of the FPP approach is rebalancing
the total load effecting two prongs of the tuning fork. The FPP design
can provide a wide and flat face for extra tailoring; however, this
also means extra load effecting the probe-carrying prong with its
large size (Figure c) as compared with the conventional needle-like probes (Figure a,b). This asymmetry
in the shape yields a remarkable suppression in the oscillation of
the extra-loaded prong, hence, a sharp decrease in the sensitivity
as well. Within our approach, to a large extent, the successful AFM
application is obtained due to the rebalancing of tuning fork resonators.
The rebalancing restores the high Q-factor and provides
high sensitivity to the atomic-scale forces. This aspect is discussed
more detail in the Methods section.In this study, we aimed to reveal the probe-assisted thermomechanical
patterning in the surface morphology of paraffin wax with our FPPs.
Paraffin wax is a well-known material with well-determined phase-transition
parameters.[13] Therefore, paraffin is a
very suitable material to prove the reliability of our functionalized
probes and its applicability to a broader range of polymers.
Methods
For demonstration, we decided to use a paraffin sample, which is
a simple crystalline polymer. It has glass transition (Tg), a cold crystallization peak (Tcc), and a melting peak (Tm) temperatures
at 309, 318.7, and 330.6 K, respectively.[13] In order to obtain the flat surface for thermomechanical patterning,
we cover one face of flat glass by vaporizing paraffin wax in an oven
which was heated up to 625 K.As claimed, we are presenting
the approach, where the tip will
be formed with a planar structure. The fabrication and utilization
of this structure in AFM is achieved by these main steps: the thin-film
tailoring on the cleaved probe, forming a sharp tip, conjunction with
the force sensor, electrical leads, the resolution test, and optimal
control of the FPP.We started probe fabrication with obtaining
conductance across
the probe in order to provide current-driven heating by FPP. We first
deposited metallic Ta/Pt/AlO multilayer
stacking on a well-insulating silica glass (Figure a).
Figure 3
Schematics of each steps
of the FPP fabrication. (a–c) Atomically
sharp tip is formed at the intersection of the two cleaved sides.
(d,e) Thin film is tailored close to the tip using (f) electroerosion
and (g) focused ion beam (FIB) in order to form a bridge structure.
(h) Two identical prongs of the tuning prong are (i) rebalanced by
changing the length of the one carrying the extra mass (me). After all, (j) the leads on the prongs are modified.
The upper prong with the bronze-colored leads are used to run scan
and force sensing. The lower prong with the gold-colored leads are
exploited to have electrical access to the tip end via silver paste.
Afterward, we formed a sharp tip
by double cleaving a substrate
as it was already demonstrated in our pilot study.[12] The sharp tip is formed at the intersection of propagating
cleaving lines (Figure b,c).Regarding where we formed the sharp tip, we tailored
a metallic
micro-/nanoconstriction on the conducting film (Figure d,e) by utilizing electroerosion to form
a microbridge (Figure f) and FIB for a nanobridge (Figure g). In order to functionalize this structure, we first
prepared the force sensor to carry the FPP and then bonded them mechanically
and electrically.To obtain maximum detection performance from
the force sensor with
an oversize probe, we employed a stiff quartz tuning fork force sensor
oscillating at 32.768 kHz (AB38T). The minimum detection force (Fmin) of this sensor is expressed in terms of
the spring constant (k), the resonant frequency (f0), and the Q-factor (Q) as shown in eq .[14]As basically given above, high Q is essential
for high sensitivity at low Fmin. It is
well known that an occurring asymmetry in the oscillation yields a
sudden drop in the Q value.[14−18] Ng et al. have already explained how Q changes depending on Δm, which consist of
the effective masses of the prongs (m1 and m2) and the extra mass (me) simply represented as Δm = (m1 + me) – m2.[18] In principle, we can rebalance our oscillator and regain high Q by holding Δm at approximately
zero. Of course, we should take the prong lengths L1 and L2 into account because m1 and m2 directly
rely to them with a direct proportion (Figure h,i).However, we do not simply add
extra mass onto the free ends of
the prongs of a bare tuning fork. In our method, we change the length
of one prong by removing a bit of the quartz material from the end.
Therefore, we still expect a change in k, which depends
on E, b, and L1 or L2, which are the Young’s
modulus, width, thickness, and length of a prong of the tuning fork,
respectively, as given by eq .[14]According to (eq ), a decrease in L1 or L2 yields an
increase in k resulting in
a variation of resonance frequency f0.
However, the sensitivity is mainly governed by the Q factor. This Q value is very critical to desymmetrization
of the tuning fork, thus, the variation of L1 or L2. Nevertheless, it is possible
to compensate this desymmetrization in L1 and L2 by rebalancing of the effective
masses. We therefore performed an experiment revealing the relation
between Δm, f0,
and Q.The experimental results in Figure reveal that rebalancing
for an extra mass addition
can recover high sensitivity because the resulting Δm is approximately zero as assumed. Although the Q-factor is sufficiently high after rebalancing, it remains
a little bit less than its default value. Actually, this offset between Q (after rebalancing) and Q0 is not vitally disadvantageous.
Figure 4
Oscillation and sensitivity characteristics
of the tuning fork
used in our system against change of effective mass on one prong.
Oscillation and sensitivity characteristics
of the tuning fork
used in our system against change of effective mass on one prong.Based on this experimental outcome, we polished
away a certain
amount of the quartz material from the end of one prong of the tuning
fork, which would carry the FPP. In this step, we decreased m1 by changing the length of the lower prong
(L1) by taking the extra mass (me) from the FPP into consideration (Figure h,i).After
this course adjustment, using a strong light cure adhesive
drop (LOCTITE, 4305), we bonded FPP onto the shortened prong. Once
the FPP and the prong are strongly conjugated, now, we process fine
adjustment by gently polishing away some weight from inactive parts
of the probe. At the end, because we fix the oscillation at 33 ±
1 kHz with the feedback signal via the leads on the upper prong (Figure j) by rebalancing
prong loads as m2 ≈ m1 + me, the resonator demonstrates
a Q-factor value always in the range from 103 to 104 in ambient conditions. In order to obtain
electrical access to the tip end via the leads on the lower prong,
we applied silver paste (Holland Shielding Systems Bv, 3980 Shieldokit)
(Figure j).To assess the resolution that the FPP can provide, we scanned a
CoIrPt surface in order to determine the minimum detectable structure.
The resolution appeared as ∼15 nm, which is sufficient for
the thermomechanical polymer patterning (see the Supporting Information).We optimized a reproducible
cost-efficient hand-made FPP fabrication
process explained above, which provides reliable working performance
each time with sufficient sensitivity and tunable probe-surface interaction
via electrical control at the tip end, such as temperature, without
any need for an external source.
Results and Discussion
In order to demonstrate the functionalization of our FPP tips,
we present our results in the following way. First, we report a numerical
modeling of temperature regimes of our FPP in order to get the concrete
values of heating current through the probe and duration of thermal
affection needed to locally melt the paraffin surface. In the modeling,
the parameters in terms of dimension and material selection correspond
to the real FPP probes that we fabricated which remained in the noncontact
regime with the surface under ambient conditions. Then, we present
the experimental results on growth of submicrometer protrusions on
a paraffin surface with FPP probes to demonstrate the validity of
our approach in general. Then, to gain insights in the mechanism of
forming the surface protrusions, we provide additional experiments
with higher heating power and report them in the last part of this
section. Similar to the first part, we combined these additional experiments
with numerical simulations.In our experiments, in order to
generate the thermal influence,
we modulated the current flows through a ∼50 μm wide-tailored
conductive bridge near the FPPtip end (Figure ). It means that the heat dissipates along
a small area where the current density is locally high. In order to
estimate the set parameters necessary to soften a superficial area
for submicrometric feature formation, we first modeled the time-dependent
heat dissipation in this system using COMSOL.Our model consists
of the FPP with the real parameters of its geometry.
For thermal calculations, we use the estimated mean tip–surface
distance of 5 nm neglecting the oscillating behavior. According to
this model, the temperature at the tip reaches up to 354 K when we
drive 5 mA (Figure a). As a result of the heat dissipation in ambient conditions, an
area on the paraffin surface lying just below this hot tip (the black
dot in Figure a) instantly
reaches up to ∼340 K and saturates at this level only in ∼5
ms as shown by the plot consisting of the black squares in Figure b. The outmost point
that can reach up to 330.6 K, which is the melting temperature (Tm) of the paraffin wax used in this experiment,
is 350 nm far from this center point (the red dot in Figure a). This distance defines our
softening limit given by the plot consisting of the red circles in Figure b. In other words,
we can melt an area with 700 nm of diameter on the paraffin surface
in any selected position (Figure c).
Figure 5
Plots obtained from our COMSOL model representing the
(a) heat
dissipation from the hot tip (at 354 K) to the paraffin wax through
air, and the (b) instant thermal saturation of the softening limit
at a radius of 350 nm, where the plots shown by the black squares
and red circles represent the black and the red dots in (a). AFM nanographs
taken from the paraffin sample represent the (c) two selected positions
and their corresponding softening limit area circled in yellow and
the thermomechanically patterned surface features (d) i and (e) ii,
respectively. Scale bar in (c–e) is 500 nm. (f) Plots are taken
from corresponding AFM images (c–e) in order to compare changing
height characteristics along the z-axis before and
after patterning.
Plots obtained from our COMSOL model representing the
(a) heat
dissipation from the hot tip (at 354 K) to the paraffin wax through
air, and the (b) instant thermal saturation of the softening limit
at a radius of 350 nm, where the plots shown by the black squares
and red circles represent the black and the red dots in (a). AFM nanographs
taken from the paraffin sample represent the (c) two selected positions
and their corresponding softening limit area circled in yellow and
the thermomechanically patterned surface features (d) i and (e) ii,
respectively. Scale bar in (c–e) is 500 nm. (f) Plots are taken
from corresponding AFM images (c–e) in order to compare changing
height characteristics along the z-axis before and
after patterning.The numerical modeling
with COMSOL demonstrated convincing results
by giving feasible set of parameters to realize thermomechanical patterning
in our experiments. We performed our experiments using the exact values
taken from the model and modified the paraffin surface without excessive
trial-and-error attempts. As illustrated, Figure c shows the topography of the paraffin wax
sample before thermomechanical patterning. As the cross-sections i′
and ii′ on the uppermost row in Figure f reveal, the operation area in Figure c has a roughness
of approximately 5 nm. Again in Figure c, the indexes i and ii indicate the selected positions
for the features to be formed in which their softening limits (Figure a,b) are encircled
in yellow. We first placed our tip in the position i and then heated
the tip up to 354 K by driving 5 mA for 4 s across the bridge structure
near the tip, as in the COMSOL model, while keeping the force feedback
to the tip on.As a result of heating the paraffin surface in
the vicinity of
the tip, we formed the first feature indicated as i in Figure d. The cross-section i′
in the middle segment of Figure f reveals that we pulled up the surface by 10.5 nm
within an area of 400 nm of diameter. Right after this, we positioned
the tip in the point shown by ii and repeated the same procedure (Figure e). The plots in
the bottom segment of Figure f profiles that this time, the surface raised approximately
9.5 nm toward the tip with approximately 400 nm of diameter again.
These first results point out that the tunable thermal influence activates
a well-defined mass transport. This process is repeatable in terms
of the patterning size and relatively slow regarding that rising a
protrusion by ∼10 nm takes about 4 s.After the observation
of mass transport within the softened area,
new questions arose regarding our experimental results. The first
question is about the mass transport toward the emergent feature.
Assuming that the material should be pulled toward the growing protrusion
from its surroundings, the ditches are expected to appear around the
grown protrusion. However, this is hardly noticeable in Figure c–e. The second question
is about the ultimate size of forming a feature. In order to answer
those questions, we performed further experiments. We aimed scaling
up the melting area and therefore scrutinize how it effects the features
formed beforehand. By observing the evolution of the shape and the
size of those neighboring features, we should obtain a better understanding
of the mass transport and the mechanism that pulls-off protrusions
locally.Similar to the previous case, we ran simulation with
COMSOL in
order to deduce the required current for scaling up the size of the
softening radius. From the numerical results in Figure a, we can see that the temperature of the tip reaches up to
415 K by driving 7 mA across the same probe, instead of 355 K at 5
mA in the previous experiment. The temperature at the nearest point
in the surface rapidly increases and saturates at 380 K. Moreover,
the softening limit appears at 8 μm far from the center point
(Figure b) this time.
What stands out in Figure c encircled in red is the extended softening range, which
in principle encloses the previously formed features as well. For
that reason, we expect to observe a change in their volume by mass
transport toward the emergent new feature.
Figure 6
Similar data as in Figure but with larger
current through the tip, melting a much bigger
area. Plots obtained from the COMSOL model representing (a) the heat
dissipation from the hot tip (at 415 K) to the paraffin wax through
air and (b) the instant thermal saturation of the softening limit
at a radius of 8 μm, where the plots shown by the black squares
and red circles represent the black and the red dots in (a). The AFM
image taken from the paraffin sample show the (c) three selected positions
in the operation area enclosed by the dashed lines, and the corresponding
softening limit area is circled in red. AFM images taken (d) before
and (e–g) after the thermomechanical pattering of the features
i, ii, and iii, respectively. (h) Plots are taken from corresponding
AFM images (d–g) in order to compare changing height characteristics
the along z-axis before and after the patterning.
Similar data as in Figure but with larger
current through the tip, melting a much bigger
area. Plots obtained from the COMSOL model representing (a) the heat
dissipation from the hot tip (at 415 K) to the paraffin wax through
air and (b) the instant thermal saturation of the softening limit
at a radius of 8 μm, where the plots shown by the black squares
and red circles represent the black and the red dots in (a). The AFM
image taken from the paraffin sample show the (c) three selected positions
in the operation area enclosed by the dashed lines, and the corresponding
softening limit area is circled in red. AFM images taken (d) before
and (e–g) after the thermomechanical pattering of the features
i, ii, and iii, respectively. (h) Plots are taken from corresponding
AFM images (d–g) in order to compare changing height characteristics
the along z-axis before and after the patterning.Next, we performed the experiment using the calculated
regimes.
The AFM image in Figure c shows the operation area with the dashed lines enclosing the selected
three positions for the features to be formed. Figure d represents the surface topography before
the the thermomechanical process, wherein the roughness is approximately
60 nm; see the topmost section of Figure h. Using the set parameters applied in the
model, we first formed feature-i with 2 μm of diameter, which
raised ∼350 nm upwards. Later on, we patterned feature-ii with
2 μm of diameter again where the local height increased ∼300
nm. However, what stands out in Table is that feature-i shrunk ∼100 nm, while feature-ii
was being formed (Figure f). Then, following the same process, we formed feature-iii
with 2 μm of diameter and ∼300 nm of height. As Table reveals, feature-i
and ii shrunk 80 and 140 nm, respectively, because of the mass transport
toward the emergent feature-iii (Figure g).
Table 1
Height Evolution
of the Formed Features
due to the Mass Transport
figure
feature
5(d)
5(e)
5(f)
5(g)
i
0 nm
350 nm
250 nm
170 nm
ii
0 nm
0 nm
300 nm
200 nm
iii
0 nm
0 nm
0 nm
300 nm
The experimentally
observed shrinking of the patterned features
provides evidence for mass transport along a quite long distance on
the thermally softened surface. It also explains why it is hard to
recognize the ditches around the grown protrusion. Regarding the feature
sizes formed in the last experiment and assuming that the material
was taken homogeneously from the entire melt area of 16 μm in
diameter, one can estimate the resulting ditch depth to be about 5
nm. This is less than the surface roughness estimated as 60 nm; therefore,
it is difficult to reveal.The absence of the expected ditches
in our work also correlates
with those of Lyuksyutov et al. who also formed similar features using
AFMEN.[2−4] In their studies, the ditch-like structures are not
visible on the polystyrene surface[2,4] in contrast
to the PMMA surface.[4] To develop a full
picture of the ditch occurrence, further studies can focus on that
mass transport either over a less rough surface or by setting reference
points around the protrusion.As suggested above, we can characterize
the mass transport in order
to optimize and confine the softened area. However, another question
that now comes up is whether this process can be further scaled down
to sub 400 nm of diameter and to which minimal feature sizes. In order
to answer this question, our results should be connected to concrete
parameters of the polymer as well as the probe design. The first aspect
can be attributed to determination of kinetics of protrusion formation
and could depend on the rheology of the polymer system determined
by surface tension forces, viscosity, melt or glass temperatures,
and timing of the force application. According to Sedin and Rowlen,[19] these factors contribute to the pull-off force,
generalized by the local capillary force and the van der Waals force,
occurring in our process.Although we have no adequate description
determining the protrusion
size, we still can speculate about the main limiting factors characterizing
the growth. Under the FPP influence, heating and melting decreases
the surface tension locally from 20 to 14 mN m–1.[20] Therefore, the relatively low surface
energy of the locally softened paraffin may facilitate capillary instability.[21] This instability, however, should be provoked
by the van der Waals forces when the distance between the surface
and the tip apex of FPP is periodically less than 1 nm and is expected
to be more confined in the center than the melted area. For instance,
our calculations in Figure show that the melted area is about ∼16 μm wide,
which is much bigger than the formed protrusion and even bigger than
the imaging area. However, the features are 2 μm wide, which
is eight times smaller than the lateral size of the softened volume.
This confirms our suggestion about the active role of the well-confined
van der Waals forces, which yields the feature formation by a pull-off
force.On the other hand, the actual size of the protrusions
comes up
broader than the surface area to which the van der Waals forces are
applied. This broadening may point out that the reaction of the capillary
effects to the softening surface tends to increase the radii of the
emergent features and serves as a limiting factor for the size of
the protrusion.In future investigations, it might be possible
to scale down the
present limits of feature formation by reducing the softening area.
To obtain smaller features, we might exploit either shorter heat pulses
in the micro-/nanosecond range or a reduced size of the heat emitting
zone at the tip end by making the bridge area smaller, down to 100
nm. The realization of fast regimes of protrusion growth and use of
more advanced FPP requires additional experiments, which are outside
the scope of our present letter.
Conclusions
We
achieved AFM-assisted polymer patterning in any selected position
on a paraffin surface using a multitasking FPP. We performed thermomechanical
patterning with raising features, while the hot tip was remaining
in the noncontact regime. As an AFM tip, we use a planar structure
with a sharp cleaved corner instead of a needle-like tip. The planar
structure allows us to use standard deposition and lithography for
functionalization by forming a structure on the conducting face of
the probe. In this way, we can fabricate a complex nanostructure located
at the tip end. We localized a strong temperature gradient very close
to the surface by concentrating high current density within 0.1–10
μm across the tip end.
Outlook
The achieved result provides
inspiration for broadening the application
of our methods. In practice, instead of mechanically plowing or thermally
milling, various organic materials can be used for the 3D nanopatterning
and nanoprinting by gently pulling by the tip.Because a well-confined
thermal gradient can be controlled by the
FPPs without any tip-sample contact, a fundamental research of the
surface kinetics and its dependency on the rheology of different polymer
systems can be performed as well.Moreover, the heat treatment
by the FPP can be exploited not only
for the local melting but also for initiation of much stronger processes
such as decomposition, polymerization, and different kinds of chemical
reactions. By a proper choice of the probe material, we can heat the
tip end above 1000 K in short pulses that would be sufficient for
surface tailoring of the samples from a diverse origin. Besides the
high temperature itself, we also get a very high temperature gradient
that can be a driving force of other mechanisms and would show effects
of directed diffusion or thermal electricity on a nanoscale.Another promising application of our approach is in addressing
biological objects under AFM[22,23] but exploiting our
tips with tunable well-confined heat dissipation. We could expect
interesting results when using the locally heated probe to affect
the wall of living cells or membranes. It would be interesting to
study also reaction of viruses on the locally generated temperature
gradients.As a final application, we envision to use the current
through
the structured probe to generate a locally strong magnetic field at
the very tip end. Because the sensitivity of the tuning fork force
sensor is enough to probe weak interactions, the FPP can be used for
two new types of magnetic force microscopies: MFM without permanent
magnetic tips and MFM with reswitchable magnetization of the tip,
which has not been achieved so far.[24]
Authors: Sergei F Lyuksyutov; Richard A Vaia; Pavel B Paramonov; Shane Juhl; Lynn Waterhouse; Robert M Ralich; Grigori Sigalov; Erol Sancaktar Journal: Nat Mater Date: 2003-07 Impact factor: 43.841