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Molecular Physics
An International Journal at the Interface Between Chemistry and Physics
Volume 117, 2019 - Issue 20: 10th Liblice Conference on the Statistical Mechanics of Liquids
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Liblice 2018 Special Issue

Structure and equation-of-state of a disordered system of shape anisotropic patchy particles

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Pages 2873-2880 | Received 15 Dec 2018, Accepted 24 Feb 2019, Published online: 25 Mar 2019

ABSTRACT

We present a new two dimensional model for elliptic (i.e. shape anisotropic) patchy colloids, where the impenetrable core of the particles is decorated on its (co-)vertices by Kern-Frenkel type of patches. Using (i) well-documented criteria for the overlap of the undecorated ellipses and (ii) proposing new criteria that give evidence if the patchy regions of two particles interact we perform extensive Monte Carlo simulations in the NPT ensemble. Considering elliptic particles of aspect ratios κ=2,4, and 6 with two patches located at the co-vertices and choosing representative values for the temperature we study on a semi-quantitative level the emerging disordered phases in terms of snapshots and radial distribution functions and present results for the equation-of-state.

GRAPHICAL ABSTRACT

1. Introduction

Patchy particles, i.e. colloids that are decorated on their otherwise spherical (or circular) surface by regions of repulsion or attraction have been subject of a steadily increasing number of experimental and theoretical investigations during the past one to two decades. This remarkable interest in these particles is to a considerable amount due to the fact that patchy particles can meanwhile be synthesised with essentially arbitrary patch decorations in terms of number, positions, and spatial extent of the patches. They have therefore become very versatile units in bottom-up self-assembly strategies of soft matter based functional materials. Reviews over and special issues dedicated to patchy particles covering both experiment and theory provide an excellent overview over this rapidly expanding field [Citation1–4].

In this contribution we put forward a novel model for shape anisotropic patchy particles. With such a concept we give due credit to recent successes in synthesising particles with shapes of ever increasing complexity. For an overview see, for instance, [Citation5] and references therein.

As it is difficult to grasp both shape anisotropy and patchiness at the same time using simulations or theoretical approaches we put forward in this contribution a rather simple model which nevertheless fully captures the two aforementioned features: we consider impenetrable (two dimensional) elliptic particles of aspect ratio κ which can be decorated on their (co-)vertices with patches; these interaction sites are realised by the widely used Kern-Frenkel model [Citation6], namely patches located on a circle (or sphere), specified by an opening angle and a finite interaction range. Within the patch region the potential is assumed to be constant (i.e. a square-well type of interaction). Depending on the sign of the interaction parameter, the patches can be attractive or repulsive.

For using this model in Monte Carlo (MC) simulations we had to find criteria which provide evidence if two of the anisotropic patchy particles interact: (i) for the undecorated, impenetrable elliptic bodies we use the criterion put forward by Vieillard-Baron [Citation7,Citation8], indicating if two ellipses (with given orientations of their directors, u1 and u2, and separated by a given centre-to-centre vector r) overlap, touch each other, or do not overlap; (ii) in an effort to identify possible patch-patch interactions we map via the osculating circles of the (co-)vertices our model on the original Kern-Frenkel model for circular (or spherical) patchy particles [Citation6].

MC simulations are carried out in the NPT ensemble, allowing for variations in the area and in the shape of the simulation box; ensembles of 1260 particles have been considered in all simulation runs which typically extend over 1.25105 cycles. Triggered by a random number, translational (45%) or rotational (45%) moves of the particles as well as modifications of the box area or shape (10%) are carried out alternately.

Similar as in previous studies on undecorated particles [Citation9] we have considered three values of κ, namely κ=2,4, and 6. Fixing the temperature T to different, representative values we have systematically varied the pressure within a range where the disordered phase is stable. Since this contribution should rather be considered as a ‘proof of concept’ to introduce both patchiness and shape anisotropy in one model, we postpone the more demanding (and time-consuming) investigations of the emerging ordered structures and the related phase transitions to a forthcoming, more comprehensive publication [Citation10]. Configurations have been analyzed on a semi-quantitative qualitative level via visual inspection and via a (spatial) pair distribution function [Citation11], comparing the emerging phases with previous studies performed for undecorated, hard ellipses [Citation9,Citation12]. Data for the equation-of-state (i.e. reduced pressure P vs. packing fraction η) have been extracted from the simulation data for the selected κ-values and for a representative temperatures, including the high temperature case which corresponds to undecorated, hard ellipses.

The manuscript is arranged as follows: in the subsequent Section we specify the model and we provide details about the MC simulations. In Section 3 we present and discuss the results. The manuscript is closed with concluding remarks and an outlook over future investigations based on this model.

2. Model, methods, and analysis

2.1. The model

Motivated by the Kern-Frenkel model [Citation6], which was originally put forward for disk-shaped (or spherical) particles we have developed the following simple model for a shape anisotropic patchy particle.

The body of our elliptic particles (with semi-axes $a$ and $b$ and an aspect ratio κ=a/b) is impenetrable and can be decorated on the four (co-)vertices in the following manner by patches (see Figure ; subscripts ‘a’ and ‘b’ specify in the following quantities that are related to the patches located at the vertices and co-vertices, respectively): the patches are delimited by a region of two concentric circles, the inner one being the respective osculating circle. Within a Cartesian coordinate system located in the centre of the ellipse and with the main axis being oriented along the x-axis, the centres of the osculating circles are given by Ma=(±ara,0) and Mb=(0,±brb) with radii ra=a2/b and rb=b2/a, respectively. The radius of the outer delimiting circle of a patch is given by (ra+δa) or (rb+δb), setting thus the interaction ranges of the patches. We assume a square-well type patch interaction with well-depth εKF, i.e. the interaction strength is set constant within the patch region as it has been proposed in the original Kern-Frenkel (KF) model [Citation6].

Figure 1. Schematic figure visualising the geometric definition of the patches in our model. For reasons of clarity only two of the up to four patches are shown; they can be positioned at the (co-)vertices of the elliptic body. The impenetrable, elliptic particle is defined via its semi-axes a and b; for this particular representation a value κ=a/b=2 was assumed. The osculating circles of the (co-)vertices with radii ra and rb are marked by the pink lines. The patches (highlighted in pink) are approximated by sectorial regions of two concentric circles: the inner one is the osculating circle of the respective (co-)vertex while the outer circle has a radius which is by δa or δb larger than ra or rb, defining thus the interaction range of the patch. Inside the patch region the interaction is assumed to be constant. The widths of the patches are measured by the opening angles θa and θb (as seen from the centres of the osculating circles) or φa and φb (as seen from the centre of the ellipse).

Figure 1. Schematic figure visualising the geometric definition of the patches in our model. For reasons of clarity only two of the up to four patches are shown; they can be positioned at the (co-)vertices of the elliptic body. The impenetrable, elliptic particle is defined via its semi-axes a and b; for this particular representation a value κ=a/b=2 was assumed. The osculating circles of the (co-)vertices with radii ra and rb are marked by the pink lines. The patches (highlighted in pink) are approximated by sectorial regions of two concentric circles: the inner one is the osculating circle of the respective (co-)vertex while the outer circle has a radius which is by δa or δb larger than ra or rb, defining thus the interaction range of the patch. Inside the patch region the interaction is assumed to be constant. The widths of the patches are measured by the opening angles θa and θb (as seen from the centres of the osculating circles) or φa and φb (as seen from the centre of the ellipse).

Approximating the inner limit of the square-well potential by the osculating circles (instead by the ellipse itself) is, of course, valid only up to angles θa,max and θb,max (as seen from the centres of the osculating circles) or φa,max and φb,max (as seen from the centre of the ellipse): imposing via a parameter ε (measured in the unit length scale of the model, i.e. 2ab) a maximum discrepancy between the osculating circle and the elliptic line (measured along a beam originating in the centre of the osculating circle) defines the limiting angles for the maximum patch size; of course these limiting angles are κ-dependent. Representative values for these quantities are given in Table , calculated for two different values of ε (i.e. 0.1 % and 0.5 %) and for the three different κ-values considered in this study (i.e. κ=2,4, and 6). Further, in this table information about the related maximum patch extents (for symmetric patches on both (co-)vertices), pa and pb, measured in units of the elliptic circumference, is given.

Table 1. Values that specify the maximum extent of patches in our model, as specified by a criterion put forward in the text: θa,max and θb,max – maximum opening angles of the patches as seen from the centres of the respective osculating circles, φa,max and φb,max – maximum opening angles of the patches as seen from the centre of the ellipse, and pa and pb – maximum patch extents as measured in units of the elliptic circumference.

As demonstrated in the following, the above specified model is easily amenable to the usual overlap/interaction acceptance criteria used in MC simulations:

  1. following ideas put forward by Vieillard-Baron [Citation7,Citation8] one can formulate criteria that are able to provide evidence if two elliptic particles (with given orientations and a given centre-to-centre vector) overlap, touch each other, or do not overlap;

  2. as a consequence of approximating the patches by circular patches on the osculating circles, the overlap criterion used for circular Kern-Frenkel type of patches [Citation6] can also be used in our model: hence two patches interact if the line connecting the centres of the related ocsculating circles intersects with the patchy regions.

2.2. Monte Carlo simulations

MC simulations were performed in the NPT ensemble, offering thus the possibility for changes both in the shape as well as in the area of the simulation box (henceforward termed as ‘area moves’). To be more specific, in an ‘area move’ the lengths of the edges of the box are varied independently; the angle between the edges is not varied (i.e. kept at 90o) for simulations of the disordered phases, while for ordered phases also this parameter has to be varied [Citation10]. The maximum change in the box parameters is limited in such a way that an overall acceptance rate of 20 - 50 % for the ‘area moves’ is guaranteed. The acceptance rate for translational and orientational moves is tuned to 30–50 %. Throughout, periodic boundary conditions were used. Ensembles of N= 1260 particles were considered and the simulation length extends over 1.25 105 cycles, where each cycle consists of N trial moves; triggered via a random variable each of these moves can either be a translational or a rotational move of a randomly chosen particle or an ‘area move’; the probabilities of selecting one of these moves are given by 45% for the translational and rotational moves and 10% for the area moves. Acceptance rules for the three types of moves are based on the overlap/interaction criteria put forward in Section 2.1 and the usual NPT-related selection rules [Citation13]. The first 20% of the cycles were considered as an equilibration phase and were thus discarded. Every tenth cycle the configuration was saved resulting in a total of 104 configurations available for the analysis.

Simulations were started at low pressure from an initial configuration which was created as a random particle arrangement (both with respect to positions and orientations of the particles); the resulting density was chosen to be close to the one observed in the equation of state in previous studies on undecorated hard ellipses [Citation9]. Subsequent state points were accessed by compressing the preceding configuration: after an equilibration phase the production run for this new state point was launched.

3. Results

Simulations have been carried out for patchy elliptic particles with two patches located on the co-vertices, considering three different κ-values, namely κ=2,4, and 6 (see Figure ). For the range of the patch interaction we chose δb=0.1×2ab. The pressure was varied over a representative range where we expect (according to previous results for undecorated ellipses [Citation9,Citation12]) the emergence of disordered phases, only. Also the temperature was varied over a representative range. The patch interaction was assumed to be attractive and is measured in units of kBT, kB being the Boltzmann constant; the reduced, dimensionless temperature T is defined as T=kBT/εKF.

The density of the system is measured in terms of the packing fraction η, defined as η=abπN/A, A being the area of the simulation cell. The spatial structure was quantified via the conventional pair distribution function, g(r) [Citation11]. In order to obtain the equation-of-state the packing fractions η have been recorded along the simulation run (at a given temperature and pressure) and have then been averaged. The pressure P is given in reduced, dimensionless units via P=πabP/(kBT).

Figure 2. Schematic representations of elliptic patchy particles as they have been used in this contribution; patches are highlighted in orange. Particles with aspect ratios κ=2,4 (panels a and b), and 6 (panel c) have been considered. In all cases the interaction range was chosen to be δb=0.1 (in units of 2ab); the opening angles θb=11.77,6.03 (panels a and b) and 4.17 (panel c) are chosen such that the criterion for approximating the ellipse by its osculating circle within the patch region is fulfilled with an accuracy of ε=0.1% (see text and Table ).

Figure 2. Schematic representations of elliptic patchy particles as they have been used in this contribution; patches are highlighted in orange. Particles with aspect ratios κ=2,4 (panels a and b), and 6 (panel c) have been considered. In all cases the interaction range was chosen to be δb=0.1 (in units of 2ab); the opening angles θb=11.77∘,6.03∘ (panels a and b) and 4.17∘ (panel c) are chosen such that the criterion for approximating the ellipse by its osculating circle within the patch region is fulfilled with an accuracy of ε=0.1% (see text and Table 1).

3.1. Snapshots and positional order

We start our discussion with a qualitative inspection of selected simulation snapshots, carried out for the three selected κ-values and keeping the pressure P fixed. Four different temperatures were considered, including the case T=; selected snapshots are shown in Figures . As expected, the attraction between the patches leads to the formation of small aggregates as the temperature is decreased: the location of the patches at the co-vertices of the ellipses induces a parallel alignment of bonded particles. For κ=2 we observe even for the lowest temperature T=0.6 that only a few pairs of particles form, while already for κ=4 and, in particular, for κ=6 ‘bundles’ of particles form.

Figure 3. Representative snapshots taken from our NPT MC simulations, showing particles in a section of the simulation cell. Results have been obtained for patchy elliptic particles with aspect ratio κ=2 and reduced, dimensionless pressure P=2. Selected temperatures are: T= – top left, T=2.0 – top right, T=1.0 – bottom left, and T=0.6 – bottom right.

Figure 3. Representative snapshots taken from our NPT MC simulations, showing particles in a section of the simulation cell. Results have been obtained for patchy elliptic particles with aspect ratio κ=2 and reduced, dimensionless pressure P⋆=2. Selected temperatures are: T⋆=∞ – top left, T⋆=2.0 – top right, T⋆=1.0 – bottom left, and T⋆=0.6 – bottom right.

Figure 4. Representative snapshots taken from our NPT MC simulations, showing particles in a section of the simulation cell. Results have been obtained for patchy elliptic particles with aspect ratio κ=4 and reduced, dimensionless pressure P=2. Selected temperatures are: T= – top left, T=2.0 – top right, T=1.0 – bottom left, and T=0.6 – bottom right.

Figure 4. Representative snapshots taken from our NPT MC simulations, showing particles in a section of the simulation cell. Results have been obtained for patchy elliptic particles with aspect ratio κ=4 and reduced, dimensionless pressure P⋆=2. Selected temperatures are: T⋆=∞ – top left, T⋆=2.0 – top right, T⋆=1.0 – bottom left, and T⋆=0.6 – bottom right.

Figure 5. Representative snapshots taken from our NPT MC simulations, showing particles in a section of the simulation cell. Results have been obtained for patchy elliptic particles with aspect ratio κ=6 and reduced, dimensionless pressure P=2. Selected temperatures are: T= – top left, T=2.0 – top right, T=1.0 – bottom left, and T=0.6 – bottom right.

Figure 5. Representative snapshots taken from our NPT MC simulations, showing particles in a section of the simulation cell. Results have been obtained for patchy elliptic particles with aspect ratio κ=6 and reduced, dimensionless pressure P⋆=2. Selected temperatures are: T⋆=∞ – top left, T⋆=2.0 – top right, T⋆=1.0 – bottom left, and T⋆=0.6 – bottom right.

We have analysed the spatial structure of the emerging disordered phases on a semi-quantitative level in terms of the conventional pair correlation function, g(r), [Citation11]; this function is depicted for the three selected values of κ and for representative values for P and T in Figure . The results provide evidence that the attractive patch- patch interaction of the particles enhances the correlation between the particles (in particular as the temperature decreases and/or as the pressure increases); this trend is reflected by the emergence of a peak for distances close to 2b, which grows with decreasing temperature at the cost of the main peak which is located at higher distances. The emergence of the first peak reflects the above mentioned bundle formation of the particles under these external conditions. Further, the shift of the position of the former main peak towards r2b indicates a stacking tendency of the bundles. A more quantitative analysis of the positional and of the orientational order of the particles requires the analysis of the data in terms of correlation functions g2l(r), as they have been defined in [Citation9]. However, such an analysis has to be based on considerably more extensive simulations on a finer pressure- and temperature-grid and will be postponed to future work [Citation10].

Figure 6. Radial distribution functions g(r) as functions of r (in reduced units of 2ab) for κ- and P-values as specified on top of each panel and for different temperatures (as labelled in the panels). The vertical arrows in each of the panels indicate for the respective κ-values the distances r = 2a and r = 2b (again in reduced units 2ab).

Figure 6. Radial distribution functions g(r) as functions of r (in reduced units of 2ab) for κ- and P⋆-values as specified on top of each panel and for different temperatures (as labelled in the panels). The vertical arrows in each of the panels indicate for the respective κ-values the distances r = 2a and r = 2b (again in reduced units 2ab).

3.2. Equation-of-state

In Figure  we show the data for the equation-of-state, i.e. P as a function of the packing fraction η, for the three different κ-values investigated in this study. As expected, the results for P tend with T to the data of the undecorated, hard ellipses. We observe a stronger decrease in the pressure with decreasing temperature for larger κ-values, reflecting the fact that for these system parameters the particles show a stronger tendency to form clusters (see discussion above). Data provide – in particular for κ=6 – evidence of fingerprints of an emerging nematic phase in the equation-of-state. Investigations dedicated to the ordered phases of the system are envisaged; they require, however, more extensive simulations and more sophisticated simulation techniques as, for instance, NPT simulations with a variable box shape. Preliminary results indicate that such simulations are very time consuming, in particular for larger κ-values, (inducing strong deformations of the simulation box).

Figure 7. Equation-of-state, i.e. P as a function of the packing fraction η for four different temperatures (as labelled), including the case of undecorated, hard ellipses (i.e. for T=; in the latter case our results are consistent with the data presented in [Citation9]. Results are shown for three different κ-values: top panel – κ=2, central panel – κ=4, and bottom panel – κ=6. The insets show the trivial low-density equation-of-state of the system.

Figure 7. Equation-of-state, i.e. P⋆ as a function of the packing fraction η for four different temperatures (as labelled), including the case of undecorated, hard ellipses (i.e. for T⋆=∞; in the latter case our results are consistent with the data presented in [Citation9]. Results are shown for three different κ-values: top panel – κ=2, central panel – κ=4, and bottom panel – κ=6. The insets show the trivial low-density equation-of-state of the system.

4. Conclusion

In this contribution we have introduced a simple model for an anisotropic patchy particle. Its elliptic, impenetrable body (with aspect ratio κ) is decorated on its (co-)vertices by up to four Kern-Frenkel type of patches, which are shaped via two concentric circles, the inner ones being the osculating circles of the respective (co-)vertex; the radius of the outer circle sets the range of interaction which is assumed to be constant within the patch (i.e. a square-well type of interaction). Using (i) well-known criteria that provide evidence whether two ellipses overlap, touch each other, or do not overlap and (ii) the conventional criterion put forward within the original Kern-Frenkel model for the patch-patch interaction of circular particles our model is easily amenable to MC simulations.

We have studied elliptic patchy particles of aspect ratios κ=2,4, and 6, decorating the particles on their co-vertices with patches. Investigations have been carried out via standard Monte Carlo simulations in the NPT ensemble, considering typically ∼ 1000 particles.

Even though we have to postpone a more detailed and quantitative analysis of the structural data of the emerging phases to a future publication, we observe a clear tendency that the degree of shape anisotropy (in terms of the aspect ratio κ) has a strong influence on the phase formation of the particles and on their equation-of-state: (i) comparable external parameters (i.e. temperature and pressure) lead to pronounced ordering effects (i.e. bundles of aligned, interacting particles) as κ increases, while for κ=2 the formation of this type of order sets in only at considerably higher pressure-values; (ii) the patch-patch attraction leads to the expected shift in the equation-of-state (i.e. of the pressure) to higher densities. A more detailed analysis of the emerging phases and the location of the related phase boundaries requires more extensive simulations on a considerably finer pressure- and temperature-grid; we postpone these investigations to a future contribution.

Despite its simplicity, the model captures both shape anisotropy and patchiness in a faithful manner. It is also versatile in the sense as it is easily amenable to MC simulations and – using a continuous patch interaction instead of the square-well type of potential – is also ready to be used in standard molecular dynamics simulations. Via the different variants of surface decoration it is also possible to feature chirality by considering left- and right-handed particles in a binary mixture. The impact of the competition between attraction and repulsion or the competition of patches of different spatial extent on the emerging phases are other features that we plan to investigate in the future.

Acknowledgments

Computational resources by the Vienna Scientific Cluster (VSC) are gratefully acknowledged. The authors acknowledge the TU Wien University Library for financial support through its Open Access Funding Program.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

Financial support by the TU Wien Doctorate College “BIOINTERFACE” is gratefully acknowledged.

References