Horacio Serna1, Ariel G Meyra2,3, Eva G Noya4, Wojciech T Góźdź1. 1. Institute of Physical Chemistry Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland. 2. IFLYSIB (UNLP,CONICET), 59 No. 789, B1900BTE La Plata, Argentina. 3. Departamento de Ingeniería Mecánica, UTN-FRLP, Av. 60 esq. 124, 1900 La Plata, Argentina. 4. Instituto de Química Física Rocasolano, CSIC, C/Serrano 119, 28006 Madrid, Spain.
Abstract
Systems with short-range attraction and long-range repulsion can form ordered microphases in bulk and under confinement. Using grand canonical Monte Carlo simulations, we study a colloidal system with competing interactions under confinement in narrow spherical shells at thermodynamic conditions at which the hexagonal phase of cylindrical clusters is stable in bulk. We observe spontaneous formation of different ordered structures. The results of the simulations are in a very good agreement with the predictions of a simple mathematical model based on the geometry and optimal packing of colloidal clusters. The results of the simulations and the explanation provided by a relatively simple geometric model may be helpful in manufacturing copolymer nanocapsules and may indicate possible ways of coiling DNA strands on spherical objects.
Systems with short-range attraction and long-range repulsion can form ordered microphases in bulk and under confinement. Using grand canonical Monte Carlo simulations, we study a colloidal system with competing interactions under confinement in narrow spherical shells at thermodynamic conditions at which the hexagonal phase of cylindrical clusters is stable in bulk. We observe spontaneous formation of different ordered structures. The results of the simulations are in a very good agreement with the predictions of a simple mathematical model based on the geometry and optimal packing of colloidal clusters. The results of the simulations and the explanation provided by a relatively simple geometric model may be helpful in manufacturing copolymer nanocapsules and may indicate possible ways of coiling DNA strands on spherical objects.
Systems with competing attractive and
repulsive interactions are
ubiquitous. Examples of these systems are block copolymers, mixtures
of oil, surfactants and water, proteins, and colloidal suspension
with depletants.[1,2] When the ranges of interaction
are properly tuned, systems with competing interactions can form a
variety of ordered microphases such as cluster-crystals, hexagonal,
bicontinuous, and lamellar phases. These ordered phases might be important
in the development of new technological applications such as templating
for nanomaterial synthesis,[3,4] catalysis, drug delivery,
and sensing.[5,6] It has been demonstrated, by theory[1] and simulations,[7,8] that systems
with competing interactions exhibit a universal phase behavior in
bulk. Thus, the physical behavior observed in one such system can
be discovered in other systems, and the results presented here are
also relevant for a wide range of physical systems.Recent studies
have shown that by confining systems with competing
interactions into pores with the proper geometry, new ordered microphases
can be induced.[9−11] The pore size must be carefully tuned to be commensurate
with the periodicity of the ordered microphases to induce the formation
of new ordered structures. In a previous study, we showed that the
shape of the confining channels could strongly affect the structure
of colloidal fluids with competing interactions.[9]In this article, we study, by means of Monte Carlo
simulations,
the behavior of a colloidal fluid with short-range attraction and
long-range repulsion (SALR) confined into narrow spherical shells.
The geometry of the bulk phases in this system is incommensurate with
the geometry of the spherical shell. We investigate how the cylindrical
clusters that form the hexagonal phase are arranged in spherical shells
of different sizes.
Model and Simulation Details
The colloidal system we
model here is composed of mono-dispersed
spherical particles that interact with each other via a SALR interaction
potential. In particular, we consider the square-well-linear potential,
consisting of a hard core, an attractive square-well, and a repulsive
ramp. The pair potential is given by the following expressionHere, r denotes the inter-distance between particles i and j, σ is the diameter of the colloidal
particles, ϵ is the depth of the attractive well, λ is
the attractive range, ζ denotes the repulsion strength, and
κ is the repulsion range.[12,13] The parameters are
set to: ζ = 0.05, λ = 1.5, and κ = 4.0. The plot
of the pair potential is presented in Figure a. For this set of parameters, the bulk phase
diagram has already been calculated.[14]
Figure 1
(a) Square-well-linear
SALR potential used to model the interactions
between colloidal particles. (b) Snapshot of the simulated system.
The thermodynamic conditions are μ* = −2.170, T* = 0.35, Rinn = 6.0σ,
and Rout = 11.0σ.
(a) Square-well-linear
SALR potential used to model the interactions
between colloidal particles. (b) Snapshot of the simulated system.
The thermodynamic conditions are μ* = −2.170, T* = 0.35, Rinn = 6.0σ,
and Rout = 11.0σ.The colloidal fluid is confined into spherical
shells with hard
walls. The system is finite and quasi two-dimensional since we focus
on narrow shells. To construct such shells, we define an inner sphere
of radius, Rinn, and an outer sphere of
radius, Rout. Both spheres are concentric.
The region between the two spheres defines the shell in which the
particles are located at S = {r|Rinn ≤ r ≤ Rout} where r is the radial
coordinate. Based on the volume of the shell, the external potential
is defined asHere, r denotes the radial coordinate of particle i. The total energy of the system is thus given byN is the total number of
colloidal particles.The structure of the colloidal fluid confined
in spherical shells
is investigated by Monte Carlo simulations in the grand canonical
ensemble (μ, V, T). All the
values of the thermodynamics parameters (chemical potential, temperature,
internal energy, density, and distance) are reported using σ
and ϵ as units of distance and energy, respectively. The simulated
systems contain between 1000 and 2200 particles. The length of the
equilibration run depends on the system size. The production run,
where averages are taken, consists of 2 × 1010 MC
steps, from which 2 × 105 independent configurations
are taken for calculating the local density. A Monte Carlo step is
defined as a trial move that may be a displacement, insertion, or
deletion of a particle. We set the displacement attempt probability
at 95% and the remaining 5% to the particle insertion or deletion
attempts. Simulations are performed for the temperature T* = kBT/ϵ= 0.35
and for values of the chemical potential within the range −2.35
≤ μ/ϵ = μ* ≤ −2.10. In these
thermodynamic conditions, the hexagonal phase of cylindrical clusters
is stable in bulk. We explore different system sizes in the range
6.0σ ≤ Rout ≤ 12.5σ.
In a preliminary study, we found that the width of the spherical shell
must be about 5σ to promote the formation of a single layer
of cylindrical clusters. Thus, we set the shell width to W = Rout – Rinn = 5σ for all the studied cases. To calculate the
number density of the system, ρ* = Nσ3/V, we consider that the centers of the particles
can be placed at the limits of the shell (i.e., at both Rinn and Rout) and subtract
and add σ/2 from the inner and outer radii, respectively, to
account for the particle’s hard cores. Thus, the volume used
for the calculation of the number density is, .The structure of the colloidal fluid
is identified by the visual
inspection of iso-density surfaces built from the three-dimensional
local density of the systems. These profiles are calculated by dividing
the simulation box into small subvolumes [approximately (σ/2)3], measuring the particle density in each of these cells and
averaging over 10,000 independent configurations. The iso-density
surfaces are plotted for ρiso = 0.4 using OpenDX
software. A snapshot of the configuration taken from the simulations
is shown in Figure b.
Results and Discussion
We have noticed that many structures
obtained in the simulations
can be constructed considering a relatively simple mathematical model.
Consider a shell composed of two concentric spheres with radii Rinn and Rout, Rinn < Rout, where W = Rout – Rin is the width of the shell. We want to fill the volume
of the shell with spheres and tori of diameter W.
For fixed width W, it is possible to calculate the
values of the radii Rinn and Rout to obtain optimal packing of the shell with tori and
spheres, as illustrated in Figure . There are three possible arrangements of tori and
spheres inside the shell to obtain an optimal packing. The shell can
be filled with: (a) only tori, (b) tori and two spheres, and (c) tori
and one sphere. The number of tori and spheres depends on the values
of Rinn and Rout. It is interesting to note that the closed packed structures composed
of k tori or k – 1 tori and
two spheres are obtained for the same size of the shell as shown in Figure a,b. The structures
composed of only tori and spheres can be used to generate many other
closed packed configurations. To obtain new structures, the shell
is cut through a plane containing the rotation axis, as shown in Figure . Next, one hemisphere
is rotated around the axis passing through the center and perpendicular
to the cutting plane, as shown in Figure d. For a specific set of the rotation angle,
open ends of the tori forming two hemispheres can be smoothly connected.
The rotation angle can be calculated by dividing 2π by the number
of open toroidal ends and open small hemispheres. Each cut torus has
two open ends. When the closed packed structure is built of k tori and l spheres (with l = 1 or 2), then the angle of rotation θ can be calculated
according to the following formula θ = 2π/(2k + l). With the method we have described to obtain
the derived structures, both right- and left-handed structures can
be constructed. Although we are just presenting structures obtained
in simulations with one handedness, we often observed the formation
of both chiral structures.
Figure 2
Examples of closed packing of tori and spheres
in a shell of a
fixed width. (a) Three tori, (b) two tori and two spheres, and (c)
one sphere and two tori. The diameter of the tori and spheres is equal
to the width of the shell. (d) Construction of new structures from
the configuration shown in (a) (in red) by rotating one hemisphere
by an angle θ/2 (rotation at the intermediate position) and
θ (new structure formed after a complete rotation). (e) Construction
of two hybrid structures made by joining the hemispheres shown in
(a,b) (in red and in yellow) and by rotating one of these hemispheres
by an angle θ/2 and 3θ/2, respectively.
Examples of closed packing of tori and spheres
in a shell of a
fixed width. (a) Three tori, (b) two tori and two spheres, and (c)
one sphere and two tori. The diameter of the tori and spheres is equal
to the width of the shell. (d) Construction of new structures from
the configuration shown in (a) (in red) by rotating one hemisphere
by an angle θ/2 (rotation at the intermediate position) and
θ (new structure formed after a complete rotation). (e) Construction
of two hybrid structures made by joining the hemispheres shown in
(a,b) (in red and in yellow) and by rotating one of these hemispheres
by an angle θ/2 and 3θ/2, respectively.The inner radius of the shell Rinn for
a given number 2k + l of closed
packed torii and spheres and the shell width W can
be calculated from the following formula: .Since the sizes of the systems built
of k tori
or k – 1 tori and two spheres are the same,
it is possible to combine hemispheres of two different arrangements
of tori and spheres to obtain new closed packed structures. In such
a case, the angle of the first rotation is θ/2. We call such
structures the hybrid ones (see Figure e). They are pictured in the figures presented in this
article with two colors, red and yellow. A similar method has been
already used to predict the possible solutions to the problem of finding
the longest rope on the surface of a sphere.[15]The cylindrical and spherical clusters obtained in the simulations
of the SALR model are not rigid and, due to the long-range repulsion,
these clusters repel each other. Loosely speaking, this soft repulsion
plays a similar role to the hard core repulsion in the previously
discussed mathematical model. In the case of the hexagonal phase made
of cylindrical clusters, the distance between the centers of the neighboring
clusters can be considered as equivalent to the size of the diameter
of hard tori. Thus, one might expect that the structures calculated
in the mathematical model may also be obtained in the simulations.
It has to be noted that the local density of the colloidal particles
in the middle distance between the clusters is close to zero. In the
figures presented in this article, the configurations from the mathematical
model are compared with the configurations from the simulations. We
decrease the diameter of the tori and visualize the iso-density surface
at ρiso = 0.4 for easier identification of the corresponding
configurations. In the simulations, the radius of the clusters (spheres
and tori) and the separation distance between them are determined
by the interplay between attraction and repulsion. The separation
distance between clusters must be close to that of the lattice constant
of the hexagonal phase of cylindrical clusters in bulk, l0 ≈ 6σ, and the radius of the clusters to
that of the equilibrium radius of the cylindrical clusters, r0 ≈ 1.5σ.[9,10]
Simulations
For very small spherical shells (Rout of the order of l0), the colloidal particles on the opposite sides of the limiting
inner sphere are within the repulsive range of the interparticle potential
and the ordered structures that form instantaneously have short life
times at T* = 0.35. Consequently, we found that the
minimum limiting radius of the inner sphere that allows for the formation
of ordered structures at this temperature is approximately Rinn = 1.5σ. Below this limit, colloidal
particles located near the surface of the inner sphere in diametrically
opposite positions start to experience some repulsion because the
distance between them is lower than the range of the repulsive interactions
(see eq and Figure ).We first
discuss the results obtained for small spherical shells. In Figure a, we present all
the possible structures for a shell with Rinn = 3.0σ and Rout = 8.0σ.
We note that for the same chemical potential, it is possible to obtain
different structures. We observe single and double helices, toroidal
structures, structures formed by a combination of toroidal and spherical
clusters, by a cylindrical cluster forming closed loops, by a cluster
with two open ends, and by a combination of closed and open clusters.
Note that all these structures can be derived from the previously
discussed mathematical model. In a recent study of SALR disks confined
to the surface of a sphere, structures very similar to the ones considered
by us have been reported.[16]
Figure 3
Ordered structures obtained
from simulations by confining the colloidal
fluid into a small spherical shell of (a) Rinn = 3.0σ and Rout = 8.0σ and
(b) Rinn = 5σ and Rout = 10σ. The temperature is T* = 0.35. The chemical potential, (μ*), the average number
density, (⟨ρ*⟩), and the average energy, (⟨u*⟩), are shown in the figure. The iso-density surfaces
are presented in gray with ρiso = 0.4, and the outer
and inner spheres are shown in blue and cyan, respectively. The corresponding
structures pictured in red and yellow are obtained from the mathematical
model. Hybrid structures are pictured in two colors. The angle of
rotation θ is π/3 for (a) and π/4 for (b). The corresponding
angles for each structure are shown in the figure.
Ordered structures obtained
from simulations by confining the colloidal
fluid into a small spherical shell of (a) Rinn = 3.0σ and Rout = 8.0σ and
(b) Rinn = 5σ and Rout = 10σ. The temperature is T* = 0.35. The chemical potential, (μ*), the average number
density, (⟨ρ*⟩), and the average energy, (⟨u*⟩), are shown in the figure. The iso-density surfaces
are presented in gray with ρiso = 0.4, and the outer
and inner spheres are shown in blue and cyan, respectively. The corresponding
structures pictured in red and yellow are obtained from the mathematical
model. Hybrid structures are pictured in two colors. The angle of
rotation θ is π/3 for (a) and π/4 for (b). The corresponding
angles for each structure are shown in the figure.In Figure b, we
present a more complex example of the larger hybrid structure for
the spherical shell of Rinn = 5σ
and Rout = 10σ. The simulations
predict the stability of the structure with four tori and the structure
with two spheres at the poles and three tori for μ* = −2.180
and −2.170, respectively, with very similar densities and energies.
All the possible structures derived from the mathematical model are
obtained from the simulations within a small range of chemical potential.
Hybrid structures composed of two different arrangements of closed
packed tori and spheres can also be obtained by rotating the hemispheres
by odd multiples of θ/2. The hybrid structures are pictured
in two colors (red and yellow), representing hemispheres of two different
structures.Figure a shows
all the possible structures obtained for the spherical shell with Rinn = 6σ and Rout = 11σ. The generating structure is composed of one spherical
cluster and four toroidal clusters. The derived structures are obtained
by rotating one of the hemispheres of the generating structure by
multiple integers of an angle, θ = 2π/9. Interestingly,
we observe that the average energies of all the structures are quite
similar. The number densities of the systems are also very similar,
but they increase as the chemical potential increases. The derived
structures corresponding to rotations of θ, 2θ, and 4θ
are composed of only one coiled cylindrical cluster. The structure
corresponding to a rotation of 3θ is composed of two clusters.
The first one is an open cluster resembling a single-helix, and the
second one is a closed cluster. In the θ structure, the two
ends of the cylindrical cluster are placed at the same pole. This
structure resembles a double helix that closes on itself at the opposite
pole. In the 2θ structure, the ends of the cylindrical cluster
are separated by one of its folds. Two folds separate the ends of
the 3θ structure, but, as already mentioned, the structure is
composed of one open cluster and one closed cluster. Finally, the
4θ structure has its ends placed at opposite poles separated
by four folds. This structure resembles a single helix structure.
Figure 4
Structures
obtained from simulations by confining the colloidal
fluid into a spherical shell of (a) Rinn = 6σ and Rout = 11σ and
(b) Rinn = 7.5σ and Rout = 12.5σ. The temperature is T* = 0.35 and the chemical potential, μ*, the average number
density, (⟨ρ*⟩), and energy, (⟨u*⟩), are presented for each structure. The iso-density
surfaces are presented in gray with ρiso = 0.40,
and the outer and inner spheres are shown in blue and cyan, respectively.
The corresponding structures pictured in yellow are obtained from
the mathematical model. The first structure is successively rotated
by the proper angle θ, 2π/9 for (a) and 2π/11 for
(b), to form all the derived structures.
Structures
obtained from simulations by confining the colloidal
fluid into a spherical shell of (a) Rinn = 6σ and Rout = 11σ and
(b) Rinn = 7.5σ and Rout = 12.5σ. The temperature is T* = 0.35 and the chemical potential, μ*, the average number
density, (⟨ρ*⟩), and energy, (⟨u*⟩), are presented for each structure. The iso-density
surfaces are presented in gray with ρiso = 0.40,
and the outer and inner spheres are shown in blue and cyan, respectively.
The corresponding structures pictured in yellow are obtained from
the mathematical model. The first structure is successively rotated
by the proper angle θ, 2π/9 for (a) and 2π/11 for
(b), to form all the derived structures.In Figure b, we
show all the structures obtained for a shell of Rinn = 7.5σ and Rout =
12.5σ. The generating structure is composed of one spherical
cluster and five toroidal clusters. Besides the fact that the average
energies and densities are very similar for all the structures, we
found that two different structures can be obtained at exactly the
same thermodynamic conditions (see second and sixth structures in Figure b), suggesting that
all the possible structures can exist for a similar range of the chemical
potentials within the range of stability of the hexagonal phase of
cylindrical clusters in bulk at T* = 0.35. Unlike
the Rout = 11σ shell, all the derived
structures are formed by only one open coiled cylindrical cluster.
The derived structures follow the same pattern as in the previous
case; the ends of the open cluster are placed first at the same pole
for a rotation of θ, then the ends are separated by one fold
for 2θ and so on.It should be stressed that the structures
obtained in the simulations
for a given size of the shell are related by geometrical transformations.
Therefore, it is natural to expect that the properties such as energy
and density are comparable for the related structures. The transitions
between the related structures are also possible if the energy barrier
between the minima is not very large. In fact, in long simulations
we have observed such transitions. However, when the structure is
formed in a simulation, it is stable for a long time, and we are easily
able to obtain statistically accurate results for energy, average,
and local density. The structures are formed from random configurations.
No special initial configuration is needed to facilitate the formation
of the obtained structures.
Summary and Conclusions
We have studied self-assembly
of a colloidal system with competing
interactions confined in narrow spherical shells of constant width W = 5σ, at thermodynamic conditions, μ, V, and T, at which the hexagonal phase
of cylindrical clusters is stable in bulk. All the possible structures
for a given shell size have very similar average densities and energies
and are obtained in a narrow range of chemical potentials. We found
that different structures can be obtained at the same thermodynamic
conditions (see, e.g., Figure b, for rotations of θ and 5θ, and some structures
presented in Figure ). We also observed that the fluctuations of the number of particles
often drive the transitions from one structure to another.The
existence of the structures observed in simulations can be
explained based on a simple mathematical model where only the geometry
of the system is taken into account. Interestingly, the structures
reported in this paper are analogous to the solutions to the problem
of the longest rope on the surface of a sphere. Based on the results
of the simulations, we found that the system self-assembles into a
new type of hybrid structures, composed of two hemispheres corresponding
to different arrangements of tori and spheres (see Figure ). We were able to construct
such closed packed structures in the mathematical model as well (see Figure ). Thus, we demonstrated
how the simulations of a physical system can help find the solutions
of some mathematical problems.The structures described in this
article could be realized experimentally
with block-copolymers adsorbed on spherical particles. The length
and composition of the co-polymer must be finely designed to obtain
the appropriate ranges of interactions with respect to the size of
the adsorbing particles. Similar structures have been reported in
the experiments with thin block-copolymer films adsorbed on the surface
of colloidal particles.[17]Likewise,
theoretical calculations have predicted that the stability
of helical and toroidal structures in asymmetric diblock copolymers
confined in small spherical cavities[18−20] or core–shell
particles with copolymers forming a shell around a core built form
a homopolymer.[21] In a fluid of SALR particles
confined to the surface of a sphere, helical structures have also
been obtained in the density functional theory calculations[16] and simulations.[22] In our study, we are using a SALR potential with a flat minimum
and are modeling a quasi-two-dimensional system, whereas in refs (16) and (22), a SALR potential with
a very sharp minimum is used, and the system is strictly two-dimensional.
Since different SALR systems behave in a universal way, one would
expect that the structures presented in this article can be observed
in other such systems.The ordered structures presented in this
article are not exclusive
to equilibrium systems. The same structures can be observed in Turing
patterns obtained by solving an appropriate reaction-diffusion system
on the surface of a sphere.[23−25] We believe that the results presented
in this paper might be important to the conceptual design of soft
nanomaterials that involve systems with competing interactions and
spherical geometries.