Arkadiusz A Leniart1, Przemyslaw Pula1, Robert W Style2, Pawel W Majewski1. 1. Department of Chemistry, University of Warsaw, Warsaw 02089, Poland. 2. Department of Materials, Soft and Living Materials, ETH Zürich, Vladimir-Prelog-Weg 10, 8093 Zürich, Switzerland.
Abstract
Solvent evaporation annealing (SEA) is a straightforward, single-step casting and annealing method of block copolymers (BCP) processing yielding large-grained morphologies in a very short time. Here, we present a quantitative analysis of BCP grain-coarsening in thin films under controlled evaporation of the solvent. Our study is aimed at understanding time and BCP concentration influence on the rate of the lateral growth of BCP grains. By systematically investigating the coarsening kinetics at various BCP concentrations, we observed a steeply decreasing exponential dependence of the kinetics power-law time exponent on polymer concentration. We used this dependence to formulate a mathematical model of BCP ordering under nonstationary conditions and a 2D, time- and concentration-dependent coarsening rate diagram, which can be used as an aid in engineering the BCP processing pathway in SEA and also in other directed self-assembly methods that utilize BCP-solvent interactions such as solvent vapor annealing.
Solvent evaporation annealing (SEA) is a straightforward, single-step casting and annealing method of block copolymers (BCP) processing yielding large-grained morphologies in a very short time. Here, we present a quantitative analysis of BCP grain-coarsening in thin films under controlled evaporation of the solvent. Our study is aimed at understanding time and BCP concentration influence on the rate of the lateral growth of BCP grains. By systematically investigating the coarsening kinetics at various BCP concentrations, we observed a steeply decreasing exponential dependence of the kinetics power-law time exponent on polymer concentration. We used this dependence to formulate a mathematical model of BCP ordering under nonstationary conditions and a 2D, time- and concentration-dependent coarsening rate diagram, which can be used as an aid in engineering the BCP processing pathway in SEA and also in other directed self-assembly methods that utilize BCP-solvent interactions such as solvent vapor annealing.
Solvent-assisted block copolymer
(BCP) self-assembly is one of the most attractive methods of processing
these materials for fabrication of ordered nanometer-scale patterns.[1] In particular, high-molecular-weight (MW) systems,
due to their very high viscosity, tend to develop long-range order
only in the presence of plastifying solvent molecules.[2−4] The solvent–BCP interactions are at the core of a popular
directed self-assembly method known as solvent vapor annealing (SVA),
where an as-cast, disordered BCP film is exposed to the vapors of
a good solvent. The solvent swells the film and increases polymer
diffusivity which induces microphase separation of polymer chains
into distinct domains and their coarsening. A similar swelling and
ordering effect is observed when a BCP film is immersed in a mixture
of marginal and good solvents of an appropriately selected composition.[5] Conveniently, ordered morphologies can be obtained
for certain BCP–solvent combinations directly at the casting
step by exploiting the tendency of these materials to microphase separate
in a concentrated solution, above the critical order–disorder
solvent concentration (φODT).[6−9] This facile approach has been
recently advanced by extending the ordering and grain coarsening phase
during casting and demonstrated to yield well-ordered BCP morphologies
of high-MW poly(styrene-block-methyl methacrylate)
(PS-b-PMMA),[4] poly(styrene-block-ethylene oxide),[10] and
poly(styrene-block-2-vinylpyridine) (PS-b-P2VP).[7] This single-step solvent evaporation
annealing (SEA) approach relies on the rational selection of a nonvolatile
solvent or, more conveniently, a volatile–nonvolatile solvent
mixture. The nonvolatile solvent, by longer retention in the cast
wet films, extends the BCP residence time in the swollen state above
the critical order–disorder concentration, φODT, and enables morphology ordering.[6,10]While
most quantitative studies on BCP ordering were performed
under equilibrium conditions, that is, constant temperature,[11,12] there are few reports on BCP grain coarsening kinetics under nonstationary
conditions.[13−16] Understanding of BCP self-assembly under nonstationary processing
conditions, has gained particular importance with the advent of accelerated
processing techniques that utilize fast thermal ramps, for example,
in photothermal[17,18] or microwave heating[19] and during solvent swelling and deswelling ramps
in SVA experiments.[20−23] In the case of SEA, the solvent evaporation rate effectively defines
the duration of the grain coarsening phase. We have previously investigated
the kinetics of pattern coarsening in a cylindrical PS-b-P2VP diblock copolymer by analyzing the end-point morphology of
dry BCP thin films obtained after a series of solvent evaporation
ramps. Our results indicated the importance of a narrow BCP concentration
window in the immediate vicinity of the φODT that
strongly contributes to the accelerated growth of the domains. We
were not able, however, to decouple the coarsening time and BCP concentration
effects on grain coarsening kinetics described with a conventional
power-law model:[11,24]where A and α
are the
Arrhenius temperature-dependent term and kinetic power-law exponent,
respectively. As a substitute, we performed our analysis using the
apparent grain-ordering time, that is, the time that samples spend
between the φODT and vitrification as a proxy for
the ordering-time duration. Remarkably fast ordering, yielding large-grained
morphologies (ξ > 1 μm) in mere minutes, observed in
these
experiments resulted from high apparent kinetic power-law exponents
α ≈ 0.45, exceeding those typically observed in temperature-enabled
coarsening of BCP thin films (α = 0.1–0.33)[11,15,25,26] and prompted us to further investigate SEA process.In this
study, we elucidate the mechanism of SEA by decoupling
the concentration and ordering duration influence through a series
of controlled evaporation experiments. After analyzing the variation
of the kinetic power-law with BCP concentration, we construct a three-dimensional
coarsening rate diagram that can be used to predict SEA results carried
over an arbitrary processing pathway.We used a mixture of 3,4,5-trimethoxytoluene
(TMOT) and toluene
at a 1:9 wt. ratio as a solvent for cylinder-forming PS-b-P2VP (Mn = 116 kg/mol, fP2VP = 0.31; C116). During the spin-casting, toluene rapidly
evaporates from the solvent mixture, while the less-volatile cosolvent,
near-neutral toward both blocks, becomes a majority component. The
retention of TMOT above the order–disorder transition BCP concentration
promotes the growth of large grains. We have previously investigated
the kinetics of cylindrical pattern coarsening under the steady evaporation
of the solvent — a mixture of toluene and 3,4-dimethoxytoluene
— from drying PS-b-P2VP films controlled by
the ambient temperature, pressure, and the extent of convective removal
of solvent vapors.[7] Here, by utilizing
a less volatile cosolvent, TMOT, we performed a series of experiments
on solvent-swollen samples under the constant BCP concentration (φBCP) controlled by the wet film-thickness (dwet). By utilizing this approach, we advanced our understanding
of the SEA phenomenon and construct a general model for grain-coarsening
kinetics taking into account BCP-concentration variations.To
elucidate the concentration influence on grain coarsening kinetics
SEA experiments were executed by interrupting the spin-coating process
and transferring wet, ≈400 nm, BCP films into a small-volume
annealing chamber allowing in situ film-thickness monitoring (Figure a). The temperature
of the chamber was initially increased to rapidly evaporate the solvent
and saturate its vapor pressure above the drying sample and decreased
to room temperature to stabilize the film thickness at the desired
value (Figure b).
After a certain amount of time, the samples were quenched to completely
remove the solvent. We performed a series of constant temperature
SEA experiments for a range of BCP concentrations (φBCP = 0.3–0.5) varying the annealing time from 60 to 1500 s.
The evolution of lateral order in dry films (grain-size, ξ),
quantified here as an extent of the autocorrelation function of the
azimuthal orientation of BCP domains in SEM micrographs is plotted
in Figure a and fitted
to the power-law model.[5,11] The observed kinetic exponents
(α) follow a nonmonotonic BCP-concentration trend indicative
of a presence of the ODT near φBCP = 0.33. Below
this value, a near-zero α was observed and the constant grain-size
≈300 nm resulted from BCP coarsening during finite duration
of the thermal quench (5 s). For similar reasons, a comparable initial
grain-size was observed in slowly coarsening samples near φBCP = 0.50. Such annealing conditions proved ineffective due
to vitrification of the BCP morphology.[7,27] The highest
kinetic exponent α = 0.54 ± 0.03 was recorded for φBCP = 0.33, just above the ODT concentration. The steep decrease
of α with φ above the φODT follows an
exponential decay as a result of increased segregation strength measured
by the Flory–Huggins interaction parameter χ, impeding
polymer diffusion across the growing domains.[28] The effective χ parameter of the diblock in a near-neutral
solvent can be quantified by the modified dilution approximation (χeff = χφβ):[29−31]where the Flory–Huggins interaction
parameter for PS-b-P2VP was estimated from χ
= 63/T – 0.033,[31] and the degree of polymerization N was calculated
as NP2VP = MWP2VP/M2VP. We used this approximation to
model the kinetic exponent dependence on φ in the proximity
of the ODT (Figure b, black circles). The α0 and β values extracted
from a nonlinear fit were 1.4 ± 0.3 and 3.8 ± 0.2, respectively.
We note, however, that despite a reasonable match of experimental
data and the model, the derived parameters carry an error resulting
from a previously discussed inadequacy of melt-derived χ and N values used for the SVA analysis.[27] We assumed the validity of this model for φ ≥ 0.33;
it is worth noting that the model correctly captures sample vitrification
(α ≤ 0.01) above φ = 0.50 observed empirically.
Figure 1
Schematics
of the controlled solvent evaporation experiment. (a)
A nonvolatile solvent evaporates from a wet BCP film under a convection-restricting
cap while white-light reflectometry is used to monitor the thickness
of the film. (b) Substrate temperature (red circles) is used to control
the rate of solvent removal and temporarily stabilize the thickness
of the wet film and investigate grain-coarsening under constant BCP
concentration (black circles).
Figure 2
(a) BCP
grain-coarsening kinetics observed in a series of constant
polymer concentration (constant film-thickness) annealing experiments.
The inset contains the kinetic power-law exponents obtained for φBCP = 0.29–0.50. (b) The dependence of kinetic exponent
(black circles) and the power-law prefactor (blue squares) on BCP
volume fraction. The red line is the best fit to a compressed exponential
function. Uncertainty bars correspond to ±1 standard deviation.
Schematics
of the controlled solvent evaporation experiment. (a)
A nonvolatile solvent evaporates from a wet BCP film under a convection-restricting
cap while white-light reflectometry is used to monitor the thickness
of the film. (b) Substrate temperature (red circles) is used to control
the rate of solvent removal and temporarily stabilize the thickness
of the wet film and investigate grain-coarsening under constant BCP
concentration (black circles).(a) BCP
grain-coarsening kinetics observed in a series of constant
polymer concentration (constant film-thickness) annealing experiments.
The inset contains the kinetic power-law exponents obtained for φBCP = 0.29–0.50. (b) The dependence of kinetic exponent
(black circles) and the power-law prefactor (blue squares) on BCP
volume fraction. The red line is the best fit to a compressed exponential
function. Uncertainty bars correspond to ±1 standard deviation.We also analyzed the dependence of the power-law
prefactor, A, on BCP concentration and presented
it in Figure b with
blue squares. For the
lowest BCP concentrations, A ≈ 50 nm/sα and increases linearly to ≈220 nm/sα for φ = 0.45 where it reaches a plateau as the system vitrifies.
Intriguingly, this trend seems to contradict the findings by Karim
and co-workers who reported an increase in the prefactor with the
increased temperature in direct immersion annealing (DIA) experiments
of cylindrical PS-b-PMMA,[5] pointing out the similarity between the DIA and high-temperature
photothermal annealing,[15,28] that is, reduction
of the χ parameter. We note, however, that in comparison with
SEA, a much more modest degree of BCP swelling (SR ≈ 1.65)
and a correspondingly lower φBCP ≈ 0.6 were
used, permissible for a weakly segregated system of 47 kg/mol without
crossing the ODT. Such independent control of solvent mixture composition,
temperature, and annealing time is difficult to realize in SEA due
to a strong coupling between these parameters.Plotted in the
Arrhenius convention following derivation proposed
by Ruiz et al.,[11] log(A) displays a near-linear dependence on the power law-exponent, but
due to additional contributions, its slope can not be used for precise
quantification of the activation energy (SI, Figure S3).We used the data derived from the constant-BCP concentration
annealing
experiments to construct a 3D diagram of time- and concentration-dependent
BCP-coarsening rate (dξ/dt) shown as a blue
surface in Figure a. It can be used to predict a BCP grain-size obtained over an arbitrary
φ(t) trajectory defined by the solvent evaporation
rate, R(t) = ddwet/dt.
Figure 3
(a) BCP grain coarsening rate in solvent
evaporation annealing
performed over distinct trajectories. (b) The trajectories correspond
to the wet film drying profiles recorded in constant-rate solvent
evaporation experiments (I: 1.32; II: 0.45; and III: 0.11 nm/s). Time
progress is measured from the moment when the system reaches ODT (φBCP = 0.33, d = 150 nm).
(a) BCP grain coarsening rate in solvent
evaporation annealing
performed over distinct trajectories. (b) The trajectories correspond
to the wet film drying profiles recorded in constant-rate solvent
evaporation experiments (I: 1.32; II: 0.45; and III: 0.11 nm/s). Time
progress is measured from the moment when the system reaches ODT (φBCP = 0.33, d = 150 nm).A special case of such annealing trajectories are the constant
evaporation rate pathways where the dwet decrease is linear and φ(t) increases with
time:These constant R(t) pathways
are marked with red arrows in Figure a and can be effortlessly realized experimentally by
restricting or increasing convective removal of solvent vapor. Notably,
these constant-drying rate trajectories are not straight lines in
the φ–t space (SI, Figure S4).We can predict the final grain-size of samples
dried at constant
drying rates ranging from 0.047 to 1.32 nm/s by performing a numerical
integration of (dξ/dt) over a corresponding
φ(t) pathway in time-domain. We obtained a
good agreement between the calculated and experimentally measured
dry-state ξ values obtained by constant-rate SEA (I: ξexp = 173 ± 3 nm, ξcalc = 164 nm; II:
ξexp = 259 ± 22 nm, ξcalc =
280 nm; III: ξexp = 475 ± 38 nm, ξcalc = 568 nm). Moreover, this graphical method can be conveniently
used to design and visualize more complex annealing pathways, for
example, cyclic ramps and rapid quenches. To demonstrate this, we
simulated the outcome of three SVA experiments performed on C116 films
in the presence of TMOT vapors. The annealing trajectories and the
resulting final grain sizes are shown in SI, Figure S5.An alternative mathematical approach, presented in
detail in the Supporting Information, can
be taken to obtain
a closed-form differential equation for grain-coarsening. We make
the assumption that the instantaneous coarsening rate only depends
on the current grain size and the current solvent concentration. With
this, we obtainwith α(φ)
described by eq and A modeled with a sigmoidal concentration dependence. This
equation is the natural generalization of eq to the situation where concentration varies
during an experiment. Note that this equation, like eq , is a phenomenological description.This ODE can be solved numerically to yield ξ evolution for
various φ(t) trajectories. In Figure we plotted five such profiles
for R = 0.047, 0.11, 0.45, 0.62, and 1.32 nm/s. The
open symbols overlaid on the same plot represent the end-point ξ
values obtained experimentally for the same solvent removal rates.
Figure 4
Calculated
grain-coarsening curves under constant solvent evaporation.
Solid curves correspond to distinct film drying rates: R = 1.32 (light green), 0.62 (dark green), 0.45 (yellow), 0.11 (orange),
and 0.047 nm/s (red). Black circles mark experimentally recorded ξ
values in the dry samples.
Calculated
grain-coarsening curves under constant solvent evaporation.
Solid curves correspond to distinct film drying rates: R = 1.32 (light green), 0.62 (dark green), 0.45 (yellow), 0.11 (orange),
and 0.047 nm/s (red). Black circles mark experimentally recorded ξ
values in the dry samples.As expected for each evaporation experiment, the ξ values
initially increase rapidly and reach a constant value at longer times.
This behavior reflects the rapid grain-growth, which starts immediately
above the ODT concentration, followed by the subsequent vitrification
at φ ≈ 0.5 and emphasizes the efficiency of BCP ordering
using slow ramps near the φODT. Exemplary large-grained
C116 samples can be obtained by evaporating the solvent at 0.047 nm/s
(SI, Figure S6). Conversely, if smaller-grained
specimens of precisely controlled grain-size are needed, faster evaporation
ramps are required.The ξ values derived by solving the
ODE are in good agreement
with those observed experimentally. The calculated grain coarsening
trajectories for different solvent evaporation rates are shown as
continuous curves in Figure . Experimental data were overlaid on these curves marking
the final grain-size. For them, the apparent coarsening time was taken
as a residence time between φODT and vitrification.
The power-law fit shown as a black dashed line was used to calculate
the apparent kinetic exponent, αapp = 0.51 ±
0.02. Clearly, it is a SEA pathway-averaged parameter, heavily skewed
by the contribution of the early ordering phase, where in the t → 0 limit the ODE solutions are asymptotically
approaching α ≈ 0.5.The analysis of BCP pattern
coarsening kinetics under nonconstant
BCP concentration presented here indicates the importance of an early
stage of ordering commencing immediately after the polymer reaches
the ODT concentration. The time exponents of grain coarsening near
the ODT are close to ≈0.5, significantly larger than 1/4 expected
for coarsening of 2D stripe patterns.[24] We attribute this primarily to the reduction of the effective χ
parameter caused by the presence of solvent. An analogous trend has
been reported for vertically oriented cylindrical PS-b-PMMA patterns coarsening near thermally driven ODT.[28] Notably, the maximum values of α observed in SEA
are closely matching those reported for the “cold zone annealing”
(CZA) of the several-layer thick cylindrical PS-b-PMMA annealed in the presence of temperature gradients (α
≈ 0.46).[14] Recently, CZA has been
used by Singh et al. as an effective tool in accelerating the self-assembly
of lamellar PS-b-PMMA (66 kg/mol; ∼100 nm
thick) on unmodified substrates with a time exponent of 0.26, compared
to α = 0.15 for oven annealing.[16] Earlier oven annealing experiments with the same diblock homologues
of 32 and 46 kg/mol indicated α = 0.18 and 0.04, respectively.[11] The discrepancy in the oven annealing results
could stem from the choice of a smaller film thickness and the presence
of an adsorbed random copolymer brush in the latter study. High growth
exponent (α ≈ 0.55) evidenced by the investigation of
grain coarsening in weakly segregated bulk lamellar poly(styrene-b-polyisoprene) (80 kg/mol) by Ryu et al.[32] indicated the important role of certain types of grain
boundaries, which hinder rapid grain coarsening. Notably, the authors
concluded that the initial density of such “inert” boundaries
introduced during the casting transients and their stabilization can
determine further coarsening kinetics.[33] Since the SEA process starts from a truly disordered state, it is
conceivable that the formation of certain trapped defects that later
slow down the self-assembly is likely avoided. A high volume fraction
of solvent in the proximity of the ODT could additionally enable supplementary
3D defect annihilation modes beyond those accessible in 2D systems.
In particular, these modes could emerge due to the significant reduction
of domain spacing under highly solvent-swollen conditions[34] and the transient presence of a double-layered
cylindrical morphology. Alternatively, the transient early state morphologies
might contain regions composed of vertically oriented cylinders that
were demonstrated to coarsen with the 1/2 growth exponent close to
the order–disorder transition.[28] A more detailed evaluation of these mechanisms could be enabled
by in situ X-ray methods, that is, the small-angle scattering study
or X-ray photon correlation spectroscopy recently demonstrated as
a powerful technique to reveal BCP grain dynamics and to resolve various
temporal modes of grain coarsening.[35]Our study of the SEA process allowed us to construct a time- and
concentration-dependent model of BCP ordering kinetics. The model
reliably predicts the evolution of BCP grain-size over an arbitrarily
chosen annealing pathway and its final value. Although the model was
developed for solvent evaporation annealing and was validated with
constant-rate evaporation experiments, it is expected to be useful
in other directed self-assembly experiments. In particular, in broadly
used solvent vapor annealing, where it can be utilized to engineer
the processing pathway and provide insight into the outcomes of nonconstant
swelling ratio experiments, that is, sinusoidal annealing ramps[20] or annealing of ultrahigh MW systems[4] enabled by the recent advances in this technique.
Authors: Christopher Harrison; Zhengdong Cheng; Srinivasan Sethuraman; David A Huse; Paul M Chaikin; Daniel A Vega; John M Sebastian; Richard A Register; Douglas H Adamson Journal: Phys Rev E Stat Nonlin Soft Matter Phys Date: 2002-07-29
Authors: Richard A Farrell; Thomas G Fitzgerald; Dipu Borah; Justin D Holmes; Michael A Morris Journal: Int J Mol Sci Date: 2009-08-25 Impact factor: 6.208