Emanuele Marino1, Daniel M Balazs2, Ryan W Crisp3, Daniel Hermida-Merino4, Maria A Loi2, Thomas E Kodger1,5, Peter Schall1. 1. Van der Waals-Zeeman Institute, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands. 2. Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands. 3. Chemical Engineering, Optoelectronic Materials, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands. 4. ESRF, 6 Rue Jules Horowitz, BP 220, F-38043 Grenoble Cedex 09, France. 5. Physical Chemistry and Soft Matter, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands.
Abstract
The assembly of colloidal quantum dots (QDs) into dense superstructures holds great promise for the development of novel optoelectronic devices. Several assembly techniques have been explored; however, achieving direct and precise control over the interparticle potential that controls the assembly has proven to be challenging. Here, we exploit the application of critical Casimir forces to drive the growth of QDs into superstructures. We show that the exquisite temperature-dependence of the critical Casimir potential offers new opportunities to control the assembly process and morphology of the resulting QD superstructures. The direct assembly control allows us to elucidate the relation between structural, optical, and conductive properties of the critical Casimir-grown QD superstructures. We find that the choice of the temperature setting the interparticle potential plays a central role in maximizing charge percolation across QD thin-films. These results open up new directions for controlling the assembly of nanostructures and their optoelectronic properties.
The assembly of colloidal quantum dots (QDs) into dense superstructures holds great promise for the development of novel optoelectronic devices. Several assembly techniques have been explored; however, achieving direct and precise control over the interparticle potential that controls the assembly has proven to be challenging. Here, we exploit the application of critical Casimir forces to drive the growth of QDs into superstructures. We show that the exquisite temperature-dependence of the critical Casimir potential offers new opportunities to control the assembly process and morphology of the resulting QD superstructures. The direct assembly control allows us to elucidate the relation between structural, optical, and conductive properties of the critical Casimir-grown QD superstructures. We find that the choice of the temperature setting the interparticle potential plays a central role in maximizing charge percolation across QD thin-films. These results open up new directions for controlling the assembly of nanostructures and their optoelectronic properties.
At the nanoscale, quantum
dots (QDs) act as building blocks in
the development of a wide range of optoelectronic devices converting
light into electric current, e.g., photodetectors and solar cells,
or vice versa, LEDs and lasers.[1−3] For a device to operate, current
must flow through the QD active film, provided the existence of percolative
conductive paths.[4] The threshold for percolation
depends on how efficiently the QD superstructure spans space and specifically
on the number of conductive bonds a QD establishes with its neighbors.[5] These bonds are enabled by interdot quantum mechanical
coupling[6] and can be epitaxial in nature,[7] mediated by inorganic molecular complexes[8] or conjugated ligands.[9] Maximizing the number of bonds in QD superstructures represents
a modern grand challenge that must be addressed by controlling the
assembly of QDs into superstructures.[10] However, commonly used fabrication techniques, such as spin coating,
employ fast solvent evaporation thus offering little control over
the structure of QD films. The resulting amorphous films permit conduction
but preclude faster charge transport mechanisms requiring long-range
order.[11] The short time scales imposed
by spin coating do not allow for control of the QD pair potential,
therefore limiting the fundamental understanding of QD interactions
and device optimization.Such interaction control has been well
established in colloidal
science, where the particle pair potential has been tailored by depletion,[12] magnetic,[13] or DNA-mediated
interactions.[14] However, the long length
scales of these interactions make them typically incompatible with
the assembly of nanometer-sized QDs. Moreover, most interactions do
not offer the possibility of continuously tuning their magnitude without
irreversibly altering the composition of the dispersion. Recently,
the critical Casimir effect has emerged as a novel temperature-tunable
interaction to drive the assembly of colloidal particles mediated
by the solvent alone.[15−18] The interaction has been measured[19] and
modeled[20] for micrometer-sized colloidal
particles. The tunability of this interaction resides on the exquisite
role of temperature setting the length scale of solvent fluctuations,
enabling direct control over both the magnitude and length scale of
the interparticle attraction down to the molecular scale.[19] This solvent-mediated interaction offers new
opportunities to drive the assembly of nanometer-sized QDs in solution.[21]Here, we show that critical Casimir forces
provide new control
over the assembly of QD films. We use the temperature-dependent solvent
fluctuations to tune the QD interactions, to control QD film morphology,
and to study the influence of morphology on film conductivity. The
advantage of the critical Casimir force is that the length scale of
solvent fluctuations is most compatible with the small size of the
QDs, enabling their interaction control over a wide range of temperatures.
Subjected to critical Casimir forces, the charge-stabilized QDs assemble
into superstructures and subsequently deposit onto substrates. We
study the properties of the resulting QD superstructures by optical
spectroscopy and conductivity techniques. We find that while short-range
conductivity between QDs is unaffected by morphological changes, the
macroscopic conductivity increases by 2 orders of magnitude for lower
attraction, thus suggesting that weaker attractive potentials maximize
the number of long-range percolative pathways in the plane of conduction.
We rationalize these findings with a pair potential model superimposing
critical Casimir interactions onto standard van der Waals attraction
and electrostatic repulsion, leading to temperature-dependent aggregation
of both reversible and irreversible nature.Hydrophobic CdSe
QDs with diameter σQD = 6.5 nm
are synthesized according to reported procedures and dispersed in
hexane.[22,23] The native oleate ligands passivating the
QD surface are then exchanged with short thiostannate complexes (NH4)4Sn2S6, making the QDs hydrophilic
and allowing dispersion in the critical Casimir solvent.[8,24,25] The critical Casimir effect relies
on the use of a mixture of two solvents, here water and 2,6-lutidine
(Lut). Given a concentration of lutidine in water, cLut, the solvent mixture mixes homogeneously for temperatures T < Ts, and phase-separates
into water-rich and Lut-rich phases for T > Ts, where Ts is the
phase separation temperature (Figure a). Below and in proximity of the critical point of
the dispersion, defined by the critical lutidine volume fraction cLut = cc = 30.2
v/v % and the critical temperature Tc =
307 K, solvent density fluctuations arise. These fluctuations can
be described as spontaneous compositional variations resulting in
locally water-rich or Lut-rich regions of average size ξ, the
solvent correlation length. The confinement of solvent composition
fluctuations between two walls or particle surfaces results in a net
attractive force, known as the critical Casimir force.[26] The magnitude and length scale of this attraction
strongly depend on the solvent correlation length, controlled by the
distance ΔT = Tc – T from the critical temperature Tc according to ξ(ΔT) ∼ ξ0 × (ΔT/Tc)−0.63 at the critical composition.[27] The magnitude of the critical Casimir force
can also be controlled by the solvent composition; choosing Δc = cLut – cc < 0 will result in Lut-rich fluctuations, whereas
Δc > 0 will result in water-rich fluctuations.
The largest forces arise in solvents poor in the component preferred
by the particles. Indeed, we have shown previously that hydrophilic
QDs assemble in lutidine-rich solvents[21] due to the increased particle-fluctuation affinity;[28] therefore, we focus on lutidine-rich solvents here, choosing cLut = 32 v/v % > cc.
Figure 1
Quantum dot assembly by critical Casimir forces. (a) Schematic
phase diagram of a binary mixture of water and 2,6-lutidine. Gray-shaded
area indicates the demixed solvent, and the red boundary line indicates
the solvent phase separation temperature, Ts. The colored-shaded areas below indicate regions in which lutidine-rich
(dark blue) or water-rich (light blue) solvent density fluctuations
arise. The critical temperature, Tc, and composition, cc, are also indicated.
(b) Schematic of the QD assembly by critical Casimir forces: dispersion
of ligand-stabilized QDs (left), solvent density fluctuations (blue)
arising upon decreasing ΔT, driving the assembly
upon confinement by the QDs’ surfaces (center), and assembled
superstructures sedimenting onto the substrate (right). (c–e)
Bright-field scanning transmission electron microscopy micrographs
of QD superstructures assembled by critical Casimir forces, deposited
on a transmission electron microscopy (TEM) grid for the measurement.
Assembly time: 84 h.
Quantum dot assembly by critical Casimir forces. (a) Schematic
phase diagram of a binary mixture of water and 2,6-lutidine. Gray-shaded
area indicates the demixed solvent, and the red boundary line indicates
the solvent phase separation temperature, Ts. The colored-shaded areas below indicate regions in which lutidine-rich
(dark blue) or water-rich (light blue) solvent density fluctuations
arise. The critical temperature, Tc, and composition, cc, are also indicated.
(b) Schematic of the QD assembly by critical Casimir forces: dispersion
of ligand-stabilized QDs (left), solvent density fluctuations (blue)
arising upon decreasing ΔT, driving the assembly
upon confinement by the QDs’ surfaces (center), and assembled
superstructures sedimenting onto the substrate (right). (c–e)
Bright-field scanning transmission electron microscopy micrographs
of QD superstructures assembled by critical Casimir forces, deposited
on a transmission electron microscopy (TEM) grid for the measurement.
Assembly time: 84 h.
Methods
Chemicals
2,6-Lutidine (redistilled, ≥99%) was
purchased from Sigma-Aldrich and redistilled prior to use. Milli-Q
water was used for all experiments. Hexanes (Sigma-Aldrich, ≥99%),
acetonitrile (Sigma-Aldrich, ≥99.5%), and N-methylformamide (TCI, >99%) were used as received.
QD Synthesis
QDs were synthesized according to published
procedures.[22,23] QD concentration was established
by using a published sizing curve.[29]
Ligand Synthesis and Exchange
The thiostannate complex
(NH4)4Sn2S6 was synthesized
as a 100 mM solution in water by following a published procedure.[24] The ligand exchange was performed by placing
a 40 μM QD dispersion in hexanes (apolar phase) in contact with
a 40 mM solution of (NH4)4Sn2S6 in N-methylformamide (polar phase) in a
1:1 volume ratio. The phase-separated system was stirred vigorously
until the apolar phase became colorless (30 min). The apolar phase
was then removed, and the polar phase was washed with clean hexanes;
this procedure was repeated three times. The QDs were precipitated
by adding acetonitrile in a 1:1 volume ratio with the polar phase
and centrifuging at 3000g for 15 min. After removing
the clear supernatant, QDs were fully redispersed in a binary mixture
of water and lutidine (cLut = 32 v/v %)
at a concentration of 40 μM.
Critical Casimir Assembly
of QDs
The phase separation
temperature Ts was determined prior to
assembly by submerging a flame-sealed glass capillary containing the
QD dispersion in the binary mixture in a thermostated water bath with
a temperature stability of 0.01 K (Lauda ET15S). The temperature was
increased at a rate of 0.01 K min–1 until opalescence
due to the onset of phase-separation was detected. The temperature
was then decreased by ΔT, and the assembly
vessel was submerged. The assembly vessel consisted of a 50 mL polypropylene
centrifuge tube (Falcon) fitted with a conical polytetrafluoroethylene
shape matching the inner dimensions of the tube to provide a flat
bottom surface. A substrate (carbon-coated copper grid for electron
microscopy, quartz for spectrophotometry and time-resolved microwave
conductivity (TRMC), and patterned silicon for field-effect transistors
(FETs)) was placed at the bottom of the vessel, and 5 mL of QD dispersion
in the binary mixture was added. The water bath was held at a constant
temperature for the whole duration of the assembly.
FET Characterization
Bottom gate/bottom contact field-effect
transistors were fabricated on Si/SiO2 wafers carrying
ITO/Au electrodes (Fraunhofer) with a channel width of 10 mm and length
of 2.5 μm. The wafers were cleaned by sonication in acetone
(10 min) and isopropanol (10 min) before sample deposition. The electrical
measurements were performed using a Keithley 4200SCS Semiconductor
Characterization System in a nitrogen-filled glovebox. Prior to the
measurement, the samples were briefly heated to 120 °C to remove
any adsorbed water. The mobilities were extracted using the gradual
channel approximation in the saturation regime.[30]
TRMC Characterization
A detailed
description of this
technique can be found elsewhere.[31] Briefly,
the 1 mm-thick quartz substrate was placed in a microwave cavity driven
at 8.5 GHz and illuminated at a wavelength of 630 nm using a 3 ns
pulsed Nd:YAG laser at a 10 Hz repetition rate. The change in microwave
power is measured and averaged over 1–10 min depending on the
photon flux. The photon flux is reduced with a series of neutral density
filters (increasing the averaging time with decreasing photon fluence)
from 1015 to 1013 cm–2 to
determine where higher order recombination processes no longer limit
the signal. The mobility values reported here are given at a photon
fluence where the mobility is independent of fluence (∼1014 cm–2).
Fractal Dimension Measurement
The two-dimensional fractal
dimension was determined by using the box-counting method implemented
as a Matlab script. Further details are available in the Supporting Information.
Pair Potential Modeling
QD pair potentials were determined
as the superposition of van der Waals attraction, critical Casimir
attraction, and screened electrostatics. Detailed procedures are described
in the Supporting Information.
Results
and Discussion
Hydrophilic QDs dispersed in this binary mixture
are expected to
experience an increasingly attractive force upon approaching Tc (Figure b). Once the QD superstructures have sufficiently grown,
the assemblies sediment and deposit on a substrate placed at the bottom
of the vessel. The deposits retrieved after different growth times
show indeed growing superstructures (Figure S1), contrary to the dots dispersed in water alone, which are stable
and do not aggregate. In the binary solvent, already after a few minutes
at ΔT = 7.8 K, QD aggregates are visible on
the transmission electron microscope (TEM) grid, ranging from tens
to hundreds of nanometers in size.We observe a clear dependence
of the aggregate morphology on the
temperature of the solvent as shown in Figure c–e, displaying superstructures grown
at ΔT = 0.1, 1.8, and 18.4 K for 84 h. While
temperatures closer to Tc induce the growth
of larger, branched structures (Figure c), temperatures further away induce the growth of
smaller, globular structures (Figure e). This suggests that the stronger critical Casimir
attraction closer to Tc causes a more
ramified morphology, whereas the weaker attraction further away from Tc allows particles to rearrange into more compact
structures.This morphological control allows us to elucidate
the effect of
morphology on the optical properties of the assembled QD structures.
After growing and depositing QD superstructures on a quartz substrate,
we measure their light absorption spectra as shown in Figure a. As a reference, we also
show the spectrum of QDs dispersed in hexane stabilized by long, insulating
oleate ligands. While the overall spectral shape and excitonic peak
positions are unchanged for samples grown at different ΔT, demonstrating that the QD size is unaffected in agreement
with X-ray scattering results (Figure S2a,b),[29] the first exciton peak loses its
distinction as the half-width at half-maximum increases from 14 to
19 nm, or from 27 to 35 meV in energy units (see inset). This broadening
is particularly evident at wavelengths around 620 nm, where the first
and second exciton peaks start merging and the prominence of the third
peak almost vanishes. The effect becomes increasingly pronounced with
increasing ΔT, corresponding to weaker Casimir
attraction. The peak broadening is likely due to electronic coupling
between neighboring QDs, as opposed to the case of dispersed QDs,
suggesting the overlap of single QD electronic wave functions in the
dense, rearranged QD aggregates promoted by the short thiostannate
ligands.[32,33]
Figure 2
Optical and electronic transport properties
of assembled QD superstructures.
(a) Light absorption spectra of dispersed and assembled QDs. Black
curve, bottom: QDs passivated by oleate ligands and dispersed in hexane;
colored curves, top: QDs passivated by thiostannate ligands, assembled
by critical Casimir forces and sedimented on a quartz substrate. Normalized
curves have been shifted for clarity. Inset: Details of the first
exciton peak for the various samples. (b) Electron mobility values
measured with TRMC and FET devices, as a function of ΔT. Inset: Transfer curves of representative FET devices
prepared at different temperatures, measured with 25 V channel bias.
Right-hand side, top: Schematic of the TRMC measurement. The QD thin
film is excited with a 630 nm nanosecond laser pulse inside a resonant
microwave cavity. The generation of charge carriers causes a loss
in microwave power reflected by the cavity, which is directly proportional
to the mobility of charge carriers. Extrapolating the photoconductance
of the sample for zero photon flux yields an estimate of the conductivity
of the film.[35] Right-hand side, bottom:
Schematic of an FET device. The QD thin film is deposited on a silicon
oxide-covered n-doped silicon substrate. Charge transport is measured
in the channel separated by two gold fingers, 2.5 μm apart,
representing the drain and source electrodes, and using the silicon
as the gate electrode. (c–e) AFM height maps of critical-Casimir-driven
aggregates measured in the channel of the FET devices. Note the difference
in height range shown in the color maps.
Optical and electronic transport properties
of assembled QD superstructures.
(a) Light absorption spectra of dispersed and assembled QDs. Black
curve, bottom: QDs passivated by oleate ligands and dispersed in hexane;
colored curves, top: QDs passivated by thiostannate ligands, assembled
by critical Casimir forces and sedimented on a quartz substrate. Normalized
curves have been shifted for clarity. Inset: Details of the first
exciton peak for the various samples. (b) Electron mobility values
measured with TRMC and FET devices, as a function of ΔT. Inset: Transfer curves of representative FET devices
prepared at different temperatures, measured with 25 V channel bias.
Right-hand side, top: Schematic of the TRMC measurement. The QD thin
film is excited with a 630 nm nanosecond laser pulse inside a resonant
microwave cavity. The generation of charge carriers causes a loss
in microwave power reflected by the cavity, which is directly proportional
to the mobility of charge carriers. Extrapolating the photoconductance
of the sample for zero photon flux yields an estimate of the conductivity
of the film.[35] Right-hand side, bottom:
Schematic of an FET device. The QD thin film is deposited on a silicon
oxide-covered n-doped silicon substrate. Charge transport is measured
in the channel separated by two gold fingers, 2.5 μm apart,
representing the drain and source electrodes, and using the silicon
as the gate electrode. (c–e) AFM height maps of critical-Casimir-driven
aggregates measured in the channel of the FET devices. Note the difference
in height range shown in the color maps.To investigate in more detail the interdot electronic coupling
and its dependence on the growth temperature, we measure the electronic
transport properties of the QD aggregates deposited on a substrate.
The charge carrier mobility represents the figure of merit in this
regard, providing further insight into the extent of electronic coupling
(Figure b).[34,35] We first investigate electronic coupling on a local scale by using
time-resolved microwave conductivity (TRMC),[31] a contact-less spectroscopic technique probing charge carrier transport
on a scale of δTRMC ≈ 28 nm for CdSe (Figures b and S3).[25] We find mobility
values of 4 to 7 × 10–2 cm2 V–1 s–1, in good agreement with values
reported in the literature for CdSe QDs passivated with thiostannate
ligands,[8] and rather independent of the
strength of the attractive potential used to drive the assembly (Figure b). Charge transport
on the length scale of a few QDs, as it is measured using TRMC, is
thus unaffected by the superstructure morphology. We then probe the
electronic transport on a larger scale (micrometers) by employing
Casimir-driven QD thin-films in field-effect transistors (FETs, Figure b inset) with a channel
length of δFET = 2.5 μm. We find that the films
behave as n-type semiconductors, consistent with CdSe QDs passivated
by inorganic ligands,[8] with the onset voltage
being unaffected by ΔT, indicating that the
different deposition conditions do not influence the concentration
of dopants (Figure S4). Remarkably, the
electron mobility rises strongly with ΔT, suggesting
that the global charge transport is strongly affected by the morphological
changes, in line with the gradual broadening of the absorption peak
in Figure a. At the
same time, these mobility values are orders of magnitude lower than
those found with TRMC, demonstrating the much longer length scales
probed with the transistor measurements, and the presence of electronic
traps in the film (Figure S4).TRMC
and FETs provide complementary information concerning the
electronic transport in QD films. The TMRC mobility probed on a mean
path of δTRMC/σQD ≈ 4 QDs
provides a good indication of the local tunneling rate between neighboring
dots, averaged over the film.[35] Instead,
the FET mobility probes a much longer length scale δFET ≫ δTRMC that is mainly determined by the
path of lowest resistance in the disordered QD solid, represented
by domains of highly coupled QDs.[7] The
constant TMRC mobility with respect to ΔT is
in line with the constant excitonic peak position, suggesting unchanged
average confinement and interdot interaction. On the other hand, the
increase of FET mobility with ΔT is consistent
with the broadening of the excitonic peaks, which reveals the onset
of electronic energetic disorder due to certain regions exhibiting
stronger coupling with respect to the rest of the film, thus giving
rise to percolative transport.In situ atomic force microscopy
can investigate the origin of this
conductivity increase by directly probing the QD film morphology in
the FET channel (Figure c–e). We find a substantial decrease in film thickness and
roughness with increasing ΔT, supporting the
view that weakly attractive QDs at high ΔT form
more compact superstructures. These may even deform upon deposition
on the substrate, yielding a more two-dimensional film morphology
that likely explains the gradual increase of in-plane conductivity
with ΔT. While this superstructure morphology
only weakly affects the charge carrier mobility values measured by
TRMC on a mean path of δTRMC/σQD ≈ 4 QDs, the charge transport probed by FET over longer distances
of δFET/σQD ≈ 400 QD diameters
reflects the increase in the number of parallel percolative paths
available in the plane of conduction.These percolative paths
result from the space-spanning properties
of the aggregate. To study this in more detail, we employ the box-counting
method to investigate the scaling of the cluster mass as a function
of length,[36] see Figure a. We find a power-law relation over the
available 3 orders of magnitude in length scale, indicating the lack
of a dominant length scale of the system and therefore a fractal structure.[36] Fractals are characterized by the so-called
fractal dimension df, describing their
space-filling properties; in two dimensions, df varies between df = 1 and df = 2 to indicate, respectively, linear and
space-filling planar structures. As an example, the measured fractal
dimension of the aggregate shown in Figure a is df = 1.73,
consistent with the values found for structures grown by diffusion-limited
aggregation with a low sticking probability (Figure S5). A low sticking probability implies that the growing aggregate
will explore a large number of configurations tending to equilibrium
structures, characterized by a high fractal dimension.[37]
Figure 3
Microstructure and fractal dimension of QD superstructures.
(a)
Box-counting method applied to a QD superstructure grown at ΔT = 7.8 K. The box count decreases with box size, following
a power-law relation with exponent df =
1.73, the fractal dimension. Inset: QD superstructure used for the
box-counting. (b) Two-dimensional fractal dimension histograms extracted
by analyzing several hundred fractal aggregates for each ΔT value.
Microstructure and fractal dimension of QD superstructures.
(a)
Box-counting method applied to a QD superstructure grown at ΔT = 7.8 K. The box count decreases with box size, following
a power-law relation with exponent df =
1.73, the fractal dimension. Inset: QD superstructure used for the
box-counting. (b) Two-dimensional fractal dimension histograms extracted
by analyzing several hundred fractal aggregates for each ΔT value.Measuring hundreds of
superstructures for each ΔT value, we build
the histograms shown in Figure b, whose maximum is at around df ∼ 1.5, corresponding to a high sticking probability
of ∼1 (Figure S5). Since the magnitude
of the Casimir interaction varies with ΔT,
we expect a dependence of df on ΔT.[38] Contrary to expectations,
however, the distribution of these two-dimensional fractal dimensions
is fairly robust upon varying ΔT. A comparison
of the superstructures reveals that while the branched structures
grown at lower ΔT seem unaffected by deposition
on the substrates, the globular structures grown at higher ΔT appear to deform upon sedimentation, yielding three-dimensional,
thick cores surrounded by quasi two-dimensional shells (Figure c–e). We attribute this
to the softness of structures grown at higher ΔT, deforming upon contact with the substrate. These morphological
differences ultimately are at the origin of the optical and transport
properties shown in Figure .To rationalize these findings, we propose a simple
pair potential
model. The observation of stable superstructures after solvent removal
suggests that eventually van der Waals forces bind the particles irreversibly.
On the other hand, the temperature-dependent morphology of the aggregates
and their deformation upon sedimentation indicate that weaker critical
Casimir forces drive their initial growth. We hence hypothesize that
critical Casimir forces control the initial reversible assembly, whereas
van der Waals forces lead to their immobilization at later stages
and during drying.[39] To elucidate the transition
from reversible Casimir to irreversible van der Waals interactions,
we model the pair potential by superimposing the temperature-dependent
critical Casimir interaction onto standard DLVO interactions, describing
the balance of electrostatic repulsion and van der Waals attraction.
The former is determined via explicit critical Casimir modeling using
the correlation lengths and particle sizes determined by X-ray scattering
and TEM (Figure S2d),[16] whereas the electrostatic interaction is corrected tentatively
for ion-solvent fluctuation coupling.[40] The details are provided in the Supporting Information file. The full modeling of critical Casimir interactions, in particular
for nanoparticles where many-body effects are likely to become important,
is a current analytical challenge and beyond the scope of this work.
Therefore, here we rely on a simplified treatment of the pair potential
based on the Derjaguin approximation. This approximation does not
strictly hold for the lowest ΔT investigated
here, yet, the resulting potential qualitatively agrees with our observations:
As Tc is approached, the critical Casimir
potential deepens, leading to a well-defined secondary minimum, as
shown in Figure .
Consistent with this simple model, we observe that at large ΔT, QDs are weakly attractive but stable against the primary
van der Waals minimum due to a relatively high energy barrier separating
the primary and secondary minima. This scenario gradually evolves
at temperatures closer to Tc: QDs become
more attractive as the critical Casimir force increases, and the barrier
height decreases, making irreversible aggregation more likely. This
transition from weakly- to strongly-attractive QDs qualitatively reflects
our experimental observations: at larger ΔT, some reversibility of the aggregation is observed, whereas at small
ΔT, this reversibility is lost and the structures
become permanently aggregated. This reversibility qualitatively explains
the experimentally observed marked morphological differences between
superstructures grown at different ΔT. The
critical Casimir force thus allows reversible assembly control, even
annealing of QD structures at large ΔT, and
fixing these structures at small ΔT. This temperature
control is at the origin of the temperature-dependent optical and
transport properties shown in Figure . These results open up new opportunities for the purposeful
assembly of QDs based on the temperature control of nanoparticle interactions
in near-critical binary solvents.
Figure 4
QD pair-potential. Pair-potentials of
σQD = 6.5
nm CdSe QDs in the binary solvent, modeled from superimposed critical
Casimir, van der Waals, and electrostatic interactions, for three
different ΔT values.
QD pair-potential. Pair-potentials of
σQD = 6.5
nm CdSe QDs in the binary solvent, modeled from superimposed critical
Casimir, van der Waals, and electrostatic interactions, for three
different ΔT values.
Conclusions
We have shown that critical Casimir forces between
nanoparticles
provide a powerful tool to tailor the morphology of QD superstructures.
By mildly adjusting the temperature of the solution, we drive the
assembly of QDs into superstructures that grow in time to reach sizes
compatible with device application. Temperature controls the superstructure
morphology: While higher temperatures (lower ΔT) induce the growth of branched structures, lower temperatures (higher
ΔT) allow for softer and denser aggregates.
Upon deposition on the substrate, these soft aggregates deform, increasing
the surface coverage and leading to enhanced electronic coupling.
In turn, this results in more percolative pathways for conduction,
allowing for higher charge carrier mobility. The choice of substrate
can span virtually any solid-state substrate, allowing a full topographic,
optical, and electronic characterization of the critical Casimir-grown
QD superstructures. Unlike previous applications of critical Casimir
forces used to model reversible colloidal phase transitions and aggregation,
we here explore a new realm of applications to produce permanently
assembled nanostructures for devices. The permanent aggregation crucial
for these applications is possible due to the ultimate prevalence
of van der Waals forces at the nanoscale, whereas the initial structure
formation is set by critical Casimir interactions, allowing fine temperature
control of the structural morphology. We anticipate that by controlling
not only the particles’ interactions but also their interaction
with the substrate, critical Casimir forces should be able to promote
the controlled deposition of QDs on a substrate, thereby driving two-dimensional
growth or QD epitaxy.[42,43] Finally, the novel application
of critical Casimir forces to nanoscale building blocks extends previous
critical Casimir research to a reversed length scale regime, where
the particles become of the order of or even smaller than the solvent
fluctuations, promoting many-body effects and calling for new theoretical
models of particle interactions.[41]
Authors: Ryan W Crisp; Rebecca Callahan; Obadiah G Reid; Dmitriy S Dolzhnikov; Dmitri V Talapin; Garry Rumbles; Joseph M Luther; Nikos Kopidakis Journal: J Phys Chem Lett Date: 2015-11-20 Impact factor: 6.475
Authors: Daniel M Balazs; Bartosz M Matysiak; Jamo Momand; Artem G Shulga; Maria Ibáñez; Maksym V Kovalenko; Bart J Kooi; Maria Antonietta Loi Journal: Adv Mater Date: 2018-08-01 Impact factor: 30.849
Authors: Maksym V Kovalenko; Maryna I Bodnarchuk; Jana Zaumseil; Jong-Soo Lee; Dmitri V Talapin Journal: J Am Chem Soc Date: 2010-07-28 Impact factor: 15.419
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