Phase behaviors of side chain liquid crystalline block copolymers

Xiaokang Lia, Feng Huanga, Tao Jianga, Xiaohua Heb, Shaoliang Lin*a and Jiaping Lin*a
aShanghai Key Laboratory of Advanced Polymeric Materials, Key Laboratory for Ultrafine Materials of Ministry of Education, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, China. E-mail: slin@ecust.edu.cn; jlin@ecust.edu.cn; Tel: +86-21-6425-1011
bDepartment of Chemistry, East China Normal University, Shanghai 200241, China

Received 1st October 2014 , Accepted 19th November 2014

First published on 19th November 2014


Abstract

The microphase separation of side chain liquid crystalline (SCLC) block copolymers was studied using dissipative particle dynamics (DPD) simulations. The block copolymer monomer consists of flexible A segments and flexible B segments grafted by rigid C side chains, where the A, B and C blocks are incompatible with each other. The phase structures of the SCLC copolymers were found to be controlled by A and C block lengths and the graft number. Various mesophases, such as spheres, cylinders, gyroids, and lamellae, were obtained. Phase stability regions in the space of C block length and A block length (or graft number and A block length) were constructed. The packing ordering of C side chains was also studied, and discovered to increase as the temperature decreases or the rigid C side chains increase. In addition, the results of the SCLC copolymers were compared with those of flexible copolymers and available experimental observations. The simulation results in the present work provide useful information for future investigations on SCLC copolymers.


1. Introduction

In recent decades, the phase behaviors of block copolymers have attracted much attention, due to their promising applications in coatings and adhesive films.1–6 The block copolymers can form classical microstructures, including lamellae, bicontinuous gyroids, hexagonally packed cylinders, and body-centered cubic spheres, as a consequence of microphase separation between different blocks.7–11 So far, most of the block copolymers studied have been flexible copolymers. In contrast with flexible block copolymers, block copolymers containing rigid segments (liquid crystalline copolymers) can form nanostructures with higher degrees of ordering, since the rigid segments can lead to orientation organization.12–16 When the rigid segments act as side chains grafted on a polymer backbone, a side chain liquid crystalline (SCLC) block copolymer is obtained. The SCLC copolymers possess the characteristics of both graft copolymers and liquid crystalline copolymers, which may make them useful for applications in the fields of biomedicine and nanotechnology.17–21

Experimentally, the SCLC block copolymers have been widely applied to prepare a variety of ordered nanostructures.22–33 The phase behaviors of SCLC block copolymers are very complicated, due to the coexistence of microphase separation and the orientation of rigid segments in packing.26–34 de Wit and co-workers reported the phase behavior of poly(4-vinylpyridine) (P4VP)-based azobenzene-containing copolymers, as investigated by DSC and simultaneous SAXS/WAXS.26 They found that the SCLC copolymers tend to form the lamellar phase and exhibit smectic ordering in the azobenzene domain. Korhonen et al. synthesized a series of SCLC block copolymers through attaching rigid cholesteryl hemisuccinate (CholHS) to flexible poly(styrene)-b-poly(4-vinylpyridine) (PS-b-P4VP) block copolymers.34 The SCLC copolymers can self-assemble into hierarchical structures, in which the smectic layers of CholHS are perpendicular to the block domain interface. However, due to the structural complexities of SCLC copolymers and the limitations of experimental technology, many important issues, including the mechanisms by which chain packing and external factors influence the phase behavior, are little understood.

In addition to experimental observations, theories and computer simulations have emerged as powerful tools to study the phase behaviors of complex polymers.35–43 They can provide more straightforward results than pure experiments, and overcome the limitations inherent in experiments. So far, various approaches, such as self-consistent field theory (SCFT),35,36 Monte Carlo (MC) simulations,37 molecular dynamics (MD) simulations,38 and dissipative particle dynamics (DPD) simulations,39,40 have been widely employed to investigate the phase behaviors of flexible block and graft copolymers. However, theoretical and simulation studies on the phase behavior of SCLC block copolymers are very limited.41–43 For example, Shah and co-workers proposed a SCFT model and a strong segregation theory (SST) based analytical theory to understand the thermodynamic behavior of SCLC block copolymers.41 The SCLC copolymer can phase separate into lamellar and cylindrical phases with rigid blocks in dispersed or continuous domains. In the lamellae, the orientation direction of the rigid side chains is parallel to the block copolymer interface, while in the cylinders it is parallel to the long axis of the cylinders. Stimson et al. carried out MD simulations on the phase structures of polysiloxane SCLC block copolymers.43 The SCLC copolymers self-organize into lamellar phases with polymer-rich and mesogen-rich regions, as the systems are cooled from fully isotropic polymer melts. Within the smectic phases, the backbone was perpendicular to the directors of smectic-A. Compared with SCFT and MD simulations, DPD simulation can access greater lengths and time scales, and thus predominates in the study of the phase behaviors of polymers. However, to the best of our knowledge, no studies on the phase behavior of SCLC block copolymers using the DPD method have been reported. Many issues remain to be solved in the complex system, and the microphase separation of SCLC block copolymers needs to be explored further. Understanding the principles of phase separation and chain packing will facilitate the preparation of novel nanostructures and applications in advanced materials.

In the present work, we performed a dissipative particle dynamics simulation to study the phase behaviors of SCLC block copolymers, which consist of flexible A blocks, flexible B blocks grafted by rigid C side chains. The effects of A and C block lengths, and the graft number, on the phase structures were examined. Stability regions of various mesophases were constructed in the space of the C block length and A block length (or graft number and A block length). The packing ordering of the rigid C side chains was also studied. Additionally, a comparison of the phase behaviors between SCLC block copolymers and flexible copolymers was made. The simulation results were also compared with the available experimental observations.

2. Method and model

2.1 Simulation method

Dissipative particle dynamics was first proposed by Hoogerbrugge and Koelman,44,45 and is suitable for complex fluids.46–48 It is a combination of molecular dynamics, lattice-gas automata, and Langevin dynamics, which obeys Galilean invariance, isotropy, mass conservation, and momentum conservation. In the method, a bead having mass m represents a block or cluster of atoms or molecules moving together in a coherent fashion. The DPD beads are subject to soft potentials and governed by predefined collision rules.49

In the method, the force fi acting on bead i is a pairwise additive force, consisting of the conservative force (FCij), dissipative force (FDij), and random force (FRij), given by48

 
image file: c4ra11585f-t1.tif(1)

The conservative force is a soft repulsion taking the following form:

 
image file: c4ra11585f-t2.tif(2)
where aij is the maximum repulsive interaction between beads i and j, rij = rirj, rij = |rij|, [r with combining circumflex]ij = rij/rij, and ω(rij) is the weight function given by
 
image file: c4ra11585f-t3.tif(3)
according to the study by Groot and Warren, and rc is the cutoff radius (rc = 1.0). The dissipative force is a frictional force that acts on the relative velocities of beads, defined by
 
FDij = −γωD(rij)([r with combining circumflex]ij·vij)[r with combining circumflex]ij (4)
and the random force, compensating the loss of kinetic energy due to the dissipative force, is defined by
 
FRij = σωR(rij)θij[r with combining circumflex]ij (5)
where vij = vivj, γ is the friction coefficient, σ is the noise amplitude, ωD(rij) and ωR(rij) are weight functions vanishing for r > rc that describe the range of the dissipative and random forces, and θij is a randomly fluctuating variable with Gaussian statistics:
 
θij(t)〉 = 0, 〈θij(t)θkl(t′)〉 = (δikδjl + δilδjk)δ(tt′) (6)

In order to satisfy the fluctuation-dissipation theorem and for the system to evolve to an equilibrium state that corresponds to the Gibbs canonical ensemble, only one of ωD(rij) and ωR(rij) can be chosen arbitrarily and the other one is then fixed by the relation47,48

 
ωD(rij) = [ωR(rij)]2 = ω(rij) (7)
and the values of parameters γ and σ are coupled by
 
σ2 = 2γkBT (8)
where T is the absolute temperature, and kB is the Boltzmann constant.

For the copolymers, the interaction force between bonded beads is considered as a harmonic spring force,

 
FSij = C(1 − rij/req)[r with combining circumflex]ij (9)
where C is the spring constant and req is the equilibrium bond distance. In order to reinforce the rigidity of the side chains, one angle force is added between every two consecutive bonds. The bond angle θ is constrained as 180°, and the angle force is defined by
 
FA = −∇[kθ(θ − π)2] (10)
where kθ is the angle constant. The larger the kθ value, the more rigid the side chains.

In the DPD method, reduced units are adopted for all physical quantities.48 The units of mass, length, time, and energy are defined by m, rc, τ, and kBT, respectively. The time unit τ can be formulated by

 
image file: c4ra11585f-t4.tif(11)
and its real value can be estimated by matching the simulated lateral diffusion coefficient to the experimental measured value.

2.2 Model and conditions

In the simulation, we constructed a coarse-grained model of SCLC block copolymers, with the typical structure shown in Fig. 1. The copolymer consists of a flexible A block with x beads and a flexible B block with y beads that is grafted by n rigid C chains with z beads on each chain. The block copolymers are denoted by Ax-b-(By-g-nCz), where b and g are short for “block” and “graft”, respectively. In the expression, y = 2n, therefore, the total bead number N in one copolymer molecule satisfies: N = x + n(z + 2). Note that this model can represent varieties of analogous SCLC copolymers that possess characteristics of microphase separation and LC ordering, such as the block copolymer containing a flexible P4VP block and the rigid side chains of azobenzene moieties.34,50
image file: c4ra11585f-f1.tif
Fig. 1 Coarse-grained model for the SCLC block copolymers. The beads colored red, green, and blue represent flexible A block, flexible B block, and rigid C side chains, respectively.

All the simulations were carried in a cubic box (30 × 30 × 30) with periodic boundary conditions adopting the NVT ensemble. The temperature T was set to 1.0, except for when studying the temperature effect. The friction coefficient γ, noise amplitude σ, and number density ρ were set to 4.5, 3.0, and 3.0, respectively. The time step was set as Δt = 0.02τ. The spring constant C and equilibrium bond distance req were chosen as 100 and 0.8. A larger angle constant kθ of 200 was set to ensure the rigidity of C side chains. The interaction between identical species was set to be 25, while the interaction parameters between different species were all fixed at 60, implying that the different species are incompatible. To capture the equilibrated structures, 2.0 × 106 DPD steps were carried out. When studying the ordered packing of rigid chains, we annealed the system from T = 1.0 to T = 0.1 during 1.8 × 107 DPD steps.

3. Results and discussion

In this work, three-component SCLC block copolymers were applied to form diverse mesophases in melt. The molecular architecture, including block length, graft number and temperature, are important parameters governing the phase behaviors of SCLC copolymers. The lengths of the A, B, and C blocks are denoted by the bead numbers of blocks in one polymer chain, i.e., x = NA, y = NB, and z = NC. In what follows, the influence of these parameters, designated NA, NC, n and T, was examined in particular. The simulation of the similar Ax-b-(By-g-nCz), in which the C blocks were made flexible, was additionally carried out, in order to explore the influence of the rigidity of the side chains.

3.1 Influence of block lengths and graft number on phase behavior

In this subsection, the investigation of the phase behaviors of SCLC block copolymers as a function of A block length NA, C block length NC, and graft number n is described. The NA was varied from 4 to 100, while NC was changed from 5 to 8. And the block copolymers with graft number n = 2, 3, 4 and 5 were considered. For various values of n, the B block length NB should be chosen according to the relation y = 2n. All phase structures were equilibrated at temperature T = 1.0, corresponding to a melt state.

We first considered the model of a SCLC block copolymer with NB = 8, NC = 6, and n = 4. Fig. 2 shows the self-assembly structures observed at various lengths (NA) of A blocks. As can be seen from Fig. 2a, the SCLC block copolymers form a spherical structure (SA) when the A block length is smaller (NA = 4). The A spheres surrounded by B blocks are dispersed in a matrix of C blocks. When NA increases to 8, the block copolymers phase-separate into a cylindrical structure (CA), where the cylinders of A blocks covered by B blocks are hexagonally aligned in the matrix of C blocks (Fig. 2b). When NA is 24, a gyroid phase (GA) in which the minority domains of B-covered A blocks and a continuous matrix of C blocks are observed (see Fig. 2c). When NA is further increased, a lamellar structure (L) is produced at NA = 48, which contains one thick A lamella and three thin BCB lamellae, as shown in Fig. 2d. Fig. 2e shows a gyroid structure (GC) with the B-covered C blocks forming the minority domains in the A matrix at NA = 80. It is apparent from Fig. 2 that the ordered phase transitions of SA → CA → GA → L → GC occur as NA increases. The phase transition can be explained as follows. When the A blocks are short, the A blocks occupy the minor domains, forming phases such as SA and CA. As the lengths of the A blocks increase, the chains become stretched in the minor domains, and the conformation entropy becomes unfavorable. To relax the A blocks, L and GC are formed. In these structures, the A blocks occupy the major domains. Through the phase transitions, the conformation entropy arising from chain stretching becomes favorable. However, the interfacial/surface energy increases.


image file: c4ra11585f-f2.tif
Fig. 2 Simulated structures formed by SCLC block copolymers with NB = 8, NC = 6, and n = 4: (a) spheres, SA, (b) cylinders, CA, (c) gyroids, GA, (d) lamellae, L, and (e) gyroids, GC. The subscripts A and C in S, C, and G denote that the minority domains of the ordered structures are formed by A and C blocks, respectively. From (a) to (e), the lengths of A blocks (NA) are 4, 8, 24, 48, and 80, respectively. The red, green, and blue colors are assigned to A, B, and C blocks, respectively.

Subsequently, the effect of C block length NC was examined. Combining the effects of NA and NC, the thermodynamic stability regions of phase-separated structures were constructed. Fig. 3 presents the phase stability regions in the space of NC vs. NA for SCLC block copolymers with NB = 8 and n = 4. The mesophases include SA, CA, GA, L, and GC. It can be found that with increasing NC, the CA and L regions become narrower and wider, respectively, while the width of the GA region stays roughly unchanged. Note that when the NC increases to 7, the SA phase disappears, and the CA phase also disappears when NC is 8. The formation of spherical and cylindrical structures is unfavourable with longer C side chains. The boundaries of the CA and L regions tend to shift toward a smaller NA, while the left and right boundaries of the GA region move to a smaller NA and a larger NA, respectively. It suggests that at a constant NA the lamellae form more easily than spheres, cylinders, and gyroids for longer C blocks.


image file: c4ra11585f-f3.tif
Fig. 3 Phase stability regions of SCLC block copolymers in the space of NC vs. NA. The ordered regions are denoted as S (spheres), C (hexagonally packed cylinders), G (bicontinuous gyroids), and L (lamellae). The subscripts A and C in S, C, and G indicate that the minority domains of the ordered structures are formed by A and C blocks, respectively. The B block length NB is fixed as 8, and the graft number n is 4. Regions of SA (image file: c4ra11585f-u1.tif), CA (image file: c4ra11585f-u2.tif), GA (image file: c4ra11585f-u3.tif), L (image file: c4ra11585f-u4.tif), and GC (image file: c4ra11585f-u5.tif) phases are shown.

In Fig. 3, the lamellar phase occupies a wider region at a larger NC. With increasing NC, the stretching action of A blocks decreases while the orientation of C blocks takes over the greater function. To maintain the system stability, the lamellar structure is a preferable structure and the lamellar region is broadened at a higher NC. At higher NA, the phase transition of GC → L appears as NC increases. As the rigid C blocks become longer, the blocks are orientated to reduce the loss of orientation entropy. Thus, in L phases, the rigid C blocks can be packed in an entropically favorable manner compared with in the GC phases. On the other hand, the interfacial/surface energy becomes unfavorable.53,54 Additionally, at a constant NC, as the NA increases, the phase transition experiences the progress of SA → CA → GA → L → GC. Originally, the volume fraction of A blocks was too low, so that C blocks were inclined to form the matrix and the SA, CA and GA phases are formed. When NA was large enough, the lamellar phase was generated, with the interaction of A blocks and C blocks. Further increasing the NA value, the volume fraction of the LC component was low, so that the orientation of the C block had only a slight effect. Therefore, the L phase was transformed into the GC phase.

In addition to the block length, the effect of the graft number n on the phase behavior was also studied. The phase stability regions in the space of n vs. NA are shown in Fig. 4, where the C block length NC was set to be 6. At n = 2 and 3, no SA and CA phases were formed. As the n increased, the CA, GA, and L regions became wider. The boundaries of the CA, GA, and L regions all moved to a larger NA, which is different from the effect of NC. The SCLC block copolymers tended to form the GC phase at a lower n but form the L or GA phase at a higher n at a constant NA. It can be seen in Fig. 4 that the graft number n markedly influenced the phase structures of the SCLC block copolymers. As the graft number increased, the volume fraction of the LC component increased, while the volume fraction of the A blocks decreased. Similar to the discussion above, the increasing of the LC component was favorable for packing ordering, resulting in the lamellar phase occupying a wider region at a larger value of n. Overall, the formation of different phase structures can be speculated to be a balance of stretching and orientation from A blocks and C blocks separately.


image file: c4ra11585f-f4.tif
Fig. 4 Phase stability regions in the space of n vs. NA for SCLC block copolymers with NC = 6. Regions of SA (image file: c4ra11585f-u6.tif), CA (image file: c4ra11585f-u7.tif), GA (image file: c4ra11585f-u8.tif), L (image file: c4ra11585f-u9.tif), and GC (image file: c4ra11585f-u10.tif) phases are shown.

3.2 Influence of temperature on the packing ordering of rigid C side chains

In this subsection, the investigation of the packing ordering of rigid C side chains in various ordered structures is described. The orientation degree was characterized by the order parameter S, which is an average value of order parameter Si of the i-th rigid chain. The Si is defined by image file: c4ra11585f-t5.tif, where ui is the normalized vector of the i-th rigid chain, ud is the normalized vector of orientation direction, which is determined by iteration to find the maximum value of Si by dividing the polar-coordinate space into pieces. First, we studied the effect of temperature on the chain packing state in several typical structures through annealing the systems from a higher temperature (T = 1.0) to a lower temperature (T = 0.1). Then we calculated the order parameter S as a function of temperature at various values of NA and NC.

Three typical structures, i.e. the CA, L, and GC phases, were taken as examples. Fig. 5 presents the structures formed by SCLC block copolymers at various values of NA when the temperature was reduced to 0.1. We mainly focused on the packing of the rigid C side chains. As shown in Fig. 5a, a cylindrical structure (CA) is formed at NA = 8, in which the C chains are packed in an orderly manner and perpendicularly to the long axes of the cylinders consisting of A blocks covered by B blocks. Fig. 5b shows a lamellar structure with the C chains parallel with each other at NA = 56. The highly orientated packing of rigid chains was achieved at a lower temperature, and the lamellar structure is a smectic-like structure. At NA = 80, the gyroid structure (GC), with B-covered C blocks forming the minority domains in the A matrix, indicates that the rigid C chains are aligned with each other in a twisting manner, as shown in Fig. 5c. It is concluded from Fig. 5 that rigid chains can be packed more regularly when the temperature is decreased to a lower value.


image file: c4ra11585f-f5.tif
Fig. 5 Typical structures formed by SCLC block copolymers at various values of NA when the temperature was decreased to 0.1: (a) cylindrical structure (CA) at NA = 8, (b) lamellar structure (L) at NA = 56, and (c) gyroid structure (GC) at NA = 80. In figure (c), the local packing of the C side chains is also shown.

In order to further understand the influence of temperature on the packing ordering of rigid C chains, the order parameters of C chains in a lamellar structure were explored at various temperatures. The results at NA = 48 are shown in Fig. 6. The insert shows the typical simulation snapshots at various temperatures. At T = 1.0, the order parameter S is low and an unordered lamella was obtained. As the temperature decreases, the S increases gradually, and finally reaches a plateau. The S is about 0.75 when T is decreased to 0.2, indicating that the rigid chains are orientated and packed regularly in the lamellar domains. A smectic-like structure is formed gradually as the system temperature is decreased. The result implies that the temperature has marked influences on the packing ordering of rigid chains.55,56


image file: c4ra11585f-f6.tif
Fig. 6 Variation of the order parameter S of the rigid C side chains in a lamellar structure as a function of the system temperature T. The lamellae are formed by block copolymers with NA = 48, NB = 8, NC = 6, and n = 4. The inset shows the typical simulation snapshots at various values of T.

Subsequently, to study the effect of the lengths of the A and C blocks on chain packing ordering, the S values of C side chains as a function of temperature at various values of NC and NA were calculated, where only the lamellar phase was considered. Fig. 7a shows the order parameter S at temperatures ranging from 1.0 to 0.1 for block copolymers with NC = 5, 6, 7, and 8. The other parameters are NA = 56, NB = 8, and n = 4. As can be seen, for any NC the S exhibits the same trend of increasing with a decrease in temperature. At a fixed temperature, the effect of NC can be seen. The S has a higher value at a larger NC, indicating that longer C chains can benefit their ordered packing. On the other hand, the S values versus temperature at various values of NA are presented in Fig. 7b. The NA was varied from 40 to 64, while NB, NC, and n were fixed as 8, 6, and 4, respectively. It shows that at various values of NA, S has a similar trend with an increase in temperature (discussed above). However, the NA was discovered to have a slight influence on the S values. From Fig. 7, we can see that the length of the rigid C side chains is crucial to chain packing ordering relative to the length of flexible A chains, and the A block length mainly influences the phase regions.


image file: c4ra11585f-f7.tif
Fig. 7 Variation of the order parameter S of the C chains as a function of temperature for SCLC block copolymers (a) with various values of NC, and (b) with various values of NA. In part (a), the NC was changed from 5 to 8, and the other parameters were NA = 56, NB = 8, and n = 4. In figure (b), the NA was varied from 40 to 64, while NB, NC, and n were fixed as 8, 6, and 4, respectively.

3.3 Comparison with flexible copolymers and available experimental observations

In this subsection, the comparison of the phase behaviors of flexible block copolymers and SCLC block copolymers is described. As can be seen in Fig. 8a, the flexible block copolymer possesses the same molecular structure, except that the side chains become coiled rather than rigid. The block components and interaction parameters of the flexible copolymers were chosen to be the same as those of the SCLC copolymers. This can benefit our understanding of the effect of introducing rigid side chains on the phase behaviors of three-component block copolymers. Through adjusting the lengths of the C and A blocks, the phase stability regions in the space of NC and NA were also constructed. Then we compared the simulation results of the SCLC copolymers and available experimental observations.
image file: c4ra11585f-f8.tif
Fig. 8 (a) The flexible block copolymer similar to the SCLC copolymer, with the exception of coiled side chains. (b) Phase stability regions of flexible block copolymers in the space of NC vs. NA at T = 1.0. The regions of SA, GA, L, and GC phases are obtained. The B block length NB is fixed at 8, and the graft number n is 4.

Fig. 8b shows the phase stability regions in the space of NC vs. NA for flexible block copolymers with NB = 8 and n = 4 at T = 1.0. The value of NA was varied from 4 to 80, while NC was changed from 5 to 8. Similar to the SCLC block copolymers, SA, GA, L, and GC regions were obtained. However, under the parameter conditions employed, cylindrical structures could not be observed, and the CA region was absent. Relative to the SCLC block copolymers, we could also find that the GA region became broader while the L region was narrower for flexible block copolymers. The lamellar structures were generated at a larger NA, and the boundary between the GA and L regions moved to a larger NA. This suggests that the introduction of rigid side chains is favorable for the formation of lamellar structures at a smaller NA. Besides the diversity in the phase boundaries, the ordering of the chain packing is also different for flexible and SCLC copolymers. In flexible copolymers, the chains are unable to orient as rigid blocks and are thereby positioned irregularly. During microphase separation, the flexible chains are stretched to accommodate the structures, while the rigid blocks change their orientations to adjust the structures.

Recently, some experimental observations regarding the SCLC copolymers became available in the literature that support our predictions.50–52,57 Mao et al. synthesized a series of SCLC block copolymers by attaching azobenzene mesogenic groups to the isoprene block of polystyrene-b-poly(1,2-&-3,4-isoprene) (PS-b-PI) block copolymers via acid chloride coupling.50 The bulk structures of the SCLC block copolymers were studied and found to be controlled by the volume fraction of the LC component. The coil cylinders formed at a higher LC volume fraction were transformed into a lamellar structure and then into a bicontinuous structure, with minority domains of the LC component, as the LC volume fraction decreases. Anthamatten and co-workers also found that the SCLC block copolymers of polystyrene and methacrylates containing (s)-2-methyl-1-butyl-4′-(((4-hydroxyphenyl)carbonyl)oxy)-1,1′-biphenyl-4-carboxylate mesogens (PS-b-HBPB) can form hexagonally close-packed PS cylinders at a higher LC volume fraction, while they self-assemble into completely lamellar structures or predominantly lamellar structures at a lower LC volume fraction.51,52 These experimental observations are in qualitative accordance with the simulated phase transition from CA to L and then to GC with an increasing value of NA.

M. Yamada and co-workers prepared a kind of SCLC copolymer containing a polystyrene segment and a 6-[4-(4-methoxyphenyl)phenoxy]-hexyl methacrylate (MPPHM) segment,57 which is similar to our model, as the MPPHM segment can be divided into a B block and C block. These copolymers exhibited a well-defined lamellar type of segregation, and the side chain LC segments formed the smectic A crystalline phase and isotropic arrangements with an increase in temperature. This tendency coincides well with our finding that the order parameter increases with a decrease in temperature (see Fig. 6 and 7). Whilst there are similarities, some differences were also observed. For example, in our simulations, a GA structure with the coil blocks forming the minority domains was predicted, but this was not found in the experiments. This difference may result from the coarse-grained model in the DPD simulations and the limited samples in the experiments. In addition, our predictions also reveal the mechanism of the phase transition, which may provide guidance for further studies of phase structures of SCLC block copolymers.

In this work, the phase behaviors of SCLC block copolymers were investigated by the DPD method for the first time. Various ordered nanostructures were formed, including hexagonally packed cylinders seldom observed in existing reports, and the morphological window of this category of copolymers was further expanded. The structural parameters of the SCLC copolymers, including the block length and graft number, were found to play important roles in determining the phase structures. In addition, the simulations provide chain packing information that cannot be obtained in experiments. The simulation results could be helpful for developing promising strategies to control the complex structures formed by SCLC copolymers.

4. Conclusions

In this work, we have investigated the phase behavior of SCLC block copolymers using DPD simulations. It was found that the SA, CA, GA, L, and GC phases are formed sequentially as the NA increases. Moreover, with an increasing value of NC or n, lamellar phases with extensive regions were formed. The thermodynamic stability regions of these phases were constructed by combining these two effects, i.e., NC vs. NA and n vs. NA. The phase transitions are a balance of interaction enthalpy and the entropy resulting from the stretching of flexible A/B chains and the orientation of rigid C chains. On reducing the temperature, the order parameters of the C blocks increased and the packing of rigid C side chains exhibited higher ordering. Compared with flexible copolymers, the regions of L phases were enlarged and the boundary between the GA and L regions moved to a lower NA for the SCLC copolymers. In addition, a general agreement with experimental observations was found, but with some differences. The differences may result from the coarse-grained model in the DPD simulations and the limited samples in experiments. The present work could be of guiding significance for understanding the phase behavior of SCLC block copolymers.

Acknowledgements

This work was supported by National Natural Science Foundation of China (51103044, 21174038 and 50925308). Support from Projects of Shanghai Municipality (11QA1401600, 13ZZ041 and 12JC1403102) and Fundamental Research Funds for the Central Universities (20100074120001, NCET-12-0857 and WD1213002) is also appreciated.

References

  1. R. Resendes, J. A. Massey, H. Dorn, K. N. Power, M. A. Winnik and I. Manners, Angew. Chem., Int. Ed., 1999, 38, 2570–2573 CrossRef CAS .
  2. W. van Zoelena and G. ten Brinke, Soft Matter, 2009, 5, 1568–1582 RSC .
  3. Z. Li, E. Kesselman, Y. Talmon, M. A. Hillmyer and T. P. Lodge, Science, 2004, 306, 98–101 CrossRef CAS PubMed .
  4. D.-G. Kim, H. Kang, S. Han, H. J. Kima and J.-C. Lee, RSC Adv., 2013, 3, 18071–18081 RSC .
  5. H. Otsukaa, Y. Nagasakib and K. Kataoka, Curr. Opin. Colloid Interface Sci., 2001, 6, 3–10 CrossRef .
  6. Z. Wang, G. Wen, F. Zhao, C. Huang, X. Wang, T. Shi and H. Li, RSC Adv., 2014, 4, 29595–29603 RSC .
  7. V. Percec, C. H. Ahn and G. Ungar, Nature, 1998, 391, 161–164 CrossRef CAS PubMed .
  8. S. B. Darling, Prog. Polym. Sci., 2007, 32, 1152–1204 CrossRef CAS PubMed .
  9. M. W. Matsen and F. S. Bates, Macromolecules, 1996, 29, 7641–7644 CrossRef CAS .
  10. J. Chatterjee, S. Jain and F. S. Bates, Macromolecules, 2007, 40, 2882–2896 CrossRef CAS .
  11. R. Nagarajan and K. Ganesh, J. Chem. Phys., 1989, 90, 5843–5856 CrossRef CAS PubMed .
  12. S. A. Jenekhe and X. L. Chen, Science, 1999, 283, 372–375 CrossRef CAS .
  13. S. A. Jenekhe and X. L. Chen, Science, 1998, 279, 1903–1907 CrossRef CAS .
  14. T. Kato, Science, 2002, 295, 2414–2418 CrossRef CAS PubMed .
  15. S.-C. Tsao and C.-T. Lo, RSC Adv., 2014, 4, 23585–23594 RSC .
  16. J.-G. Lia and S.-W. Kuo, RSC Adv., 2011, 1, 1822–1833 RSC .
  17. W. Sun, X. He, X. Liao, S. Lin, W. Huang and M. Xie, J. Appl. Polym. Sci., 2013, 130, 2165–2175 CrossRef CAS .
  18. P. Fatás, J. Bachl, S. Oehm, A. I. Jiménez, C. Cativiela and D. D. Díaz, Chem.–Eur. J., 2013, 19, 8861–8874 CrossRef PubMed .
  19. K. Gayathrt, S. Balamurugan and P. Kannan, J. Chem. Sci., 2011, 123, 255–263 CrossRef PubMed .
  20. O. Ikkala and G. ten Brinke, Chem. Commun., 2004, 2131–2137 RSC .
  21. G. ten Brinke and O. Ikkala, Chem. Rec., 2004, 4, 219–230 CrossRef CAS PubMed .
  22. H. Fischer and S. Poser, Acta Polym., 1996, 47, 413–428 CrossRef CAS .
  23. R. P. Nieuwhof, A. T. M. Marcelis, E. J. R. Sudholter, S. J. Picken and W. H. de Jeu, Macromolecules, 1999, 32, 1398–1406 CrossRef CAS .
  24. A. Laiho, P. Hiekkataipale, J. Ruokolainen and O. Ikkala, Macromol. Chem. Phys., 2009, 210, 1218–1223 CrossRef CAS .
  25. A. J. Soininen, I. Tanionou, N. ten Brummelhuis, H. Schlaad, N. Hadjichristidis, O. Ikkala, J. Raula, R. Mezzenga and J. Ruokolainen, Macromolecules, 2012, 45, 7091–7097 CrossRef CAS .
  26. J. de Wit, G. A. van Ekenstein, E. Polushkin, K. Kvashnina, W. Bras, O. Ikkala and G. ten Brinke, Macromolecules, 2008, 41, 4200–4204 CrossRef CAS .
  27. S. Lin, Y. Wang, C. Cai, Y. Xing, J. Lin, T. Cheng and X. He, Nanotechnology, 2013, 24, 085602 CrossRef PubMed .
  28. Y. Wang, S. Lin, M. Zang, Y. Xing, X. He, J. Lin and T. Chen, Soft Matter, 2012, 8, 3131–3138 RSC .
  29. A. Martínez-Felipe, C. T. Imrie and A. Ribes-Greus, Ind. Eng. Chem. Res., 2013, 52, 8714–8721 CrossRef .
  30. E. Barmatov, Macromolecules, 2002, 35, 3076–3082 CrossRef CAS .
  31. A. Kozak, J. J. Moura-Ramos, G. P. Simon and G. Williams, Macromol. Chem. Phys., 1989, 190, 2463–2476 CrossRef CAS .
  32. S. Chen, A. Ling and H.-L. Zhang, J. Polym. Sci., Part A: Polym. Chem., 2013, 51, 2759–2768 CrossRef CAS .
  33. S. H. Goh, Y. H. Lai and S. X. Cheng, Liq. Cryst., 2001, 28, 1527–1538 CrossRef .
  34. J. T. Korhonen, T. Verho, P. Rannou and O. Ikkala, Macromolecules, 2010, 43, 1507–1514 CrossRef CAS .
  35. L. Wang, J. Lin and L. Zhang, Langmuir, 2009, 25, 4735–4742 CrossRef CAS PubMed .
  36. L. Wang, T. Jiang and J. Lin, RSC Adv., 2013, 3, 19481–19491 RSC .
  37. M. Kenward and M. D. Whitmore, J. Chem. Phys., 2002, 116, 3455–3470 CrossRef CAS PubMed .
  38. M. Mondeshki, G. Mihov, R. Graf, H. W. Spiess and K. Müllen, Macromolecules, 2006, 39, 9605–9613 CrossRef CAS .
  39. T. Jiang, L. Wang and J. Lin, RSC Adv., 2014, 4, 35272–35283 RSC .
  40. T. Jiang, L. Wang, S. Lin, J. Lin and Y. Li, Langmuir, 2011, 27, 6440–6448 CrossRef CAS PubMed .
  41. M. Shah, V. Pryamitsyn and V. Ganesan, Macromolecules, 2008, 41, 218–229 CrossRef CAS .
  42. M. Anthamatten and P. T. Hammond, J. Polym. Sci., Part B: Polym. Phys., 2001, 39, 2671–2691 CrossRef CAS .
  43. L. M. Stimson and M. R. Wilson, J. Chem. Phys., 2005, 123, 034908 CrossRef PubMed .
  44. P. J. Hoogerbrugge and J. M. V. A. Koelman, Europhys. Lett., 1992, 19, 155–160 CrossRef .
  45. J. M. V. A. Koelman and P. J. Hoogerbrugge, Europhys. Lett., 1993, 21, 363–368 CrossRef CAS .
  46. Y. Xu, J. Feng and H. Liu, Mol. Simul., 2008, 34, 559–565 CrossRef CAS .
  47. P. Espanol and P. B. Warren, Europhys. Lett., 1995, 30, 191–196 CrossRef CAS .
  48. R. D. Groot and P. B. Warren, J. Chem. Phys., 1997, 107, 4423–4435 CrossRef CAS PubMed .
  49. Y.-J. Sheng, C.-H. Nung and H.-K. Tsao, J. Phys. Chem. B, 2006, 110, 21643–21650 CrossRef CAS PubMed .
  50. G. Mao, J. Wang, S. R. Clingman and C. K. Ober, Macromolecules, 1997, 30, 2556–2567 CrossRef CAS .
  51. M. Anthamatten and P. T. Hammond, Macromolecules, 1999, 32, 8066–8076 CrossRef CAS .
  52. W. Y. Zheng and P. T. Hammond, Macromolecules, 1998, 31, 711–721 CrossRef CAS .
  53. K. Gordon, B. Sannigrahi, P. Mcgeady, X. Q. Wang, J. Mendenhall and I. M. Khan, J. Biomater. Sci., Polym. Ed., 2009, 20, 2055–2072 CrossRef CAS PubMed .
  54. S. T. Milner, Science, 1991, 251, 905–914 CrossRef CAS PubMed .
  55. A. AlSunaidi, W. K. den Otter and J. H. R. Clarke, Philos. Trans. R. Soc., A, 2004, 362, 1773–1781 CrossRef CAS PubMed .
  56. A. AlSunaidi, W. K. den Otter and J. H. R. Clarke, J. Chem. Phys., 2009, 130, 124910 CrossRef CAS PubMed .
  57. M. Yamada, T. Iguchi, A. Hirao, S. Nakahama and J. Watanabe, Polym. J., 1998, 30, 23–30 CrossRef CAS .

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