Abstract
Fractals are remarkable examples of selfsimilarity where a structure or dynamic pattern is repeated over multiple spatial or time scales. However, little is known about how fractal stimuli such as fractal surfaces interact with their local environment if it exhibits order. Here we show geometryinduced formation of fractal defect states in Koch nematic colloids, exhibiting fractal selfsimilarity better than 90% over three orders of magnitude in the length scales, from micrometers to nanometres. We produce polymer Kochshaped hollow colloidal prisms of three successive fractal iterations by direct laser writing, and characterize their coupling with the nematic by polarization microscopy and numerical modelling. Explicit generation of topological defect pairs is found, with the number of defects following exponentiallaw dependence and reaching few 100 already at fractal iteration four. This work demonstrates a route for generation of fractal topological defect states in responsive soft matter.
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Introduction
Selfsimilar fractals are characterized by the repeating pattern—for example, of its structure or dynamic behaviour—over a broad range of spatial, time or other scales. The concept of fractality is especially strong in describing complex physical systems that exhibit irregular distributions, for example, of its parts or constituents, and a degree of selfsimilarity. Some wellknown examples of fractals include Brownian motion^{1}, polymer networks^{2,3}, aggregation growth phenomena^{4,5}, porous media^{2,6}, glasses^{7}, brain networks^{8,9}, structural details of genomes^{10} and complex dynamics in human physiology^{11}. Distinctly geometrical fractals are characterized by the selfsimilarity of a system to a part of itself across different length scales^{6,7}, which in case of an ideally selfsimilar fractal means that the system is invariant over all length scales and has no characteristic length scale. Geometrical fractal patterns of different scaling behaviours are generally determined by the fractal dimension D, which quantifies the change in the geometrical details of the fractal relative to the change in the scales^{7}. One of the widely studied geometrical fractal shapes that can be introduced by a simple deterministic iterative method is the Koch fractal, often associated with the shape of the ‘Koch snowflake’^{12,13}, for which all scaling laws and selfsimilarity features are given by welldefined geometrybased rules. The resolution of Koch fractals is determined by the fractal iteration, which increases by 1 for each fractal refinement of the particle shape. And it is by varying the fractal iteration of the Koch construction that the response of surrounding material at different length scales can be explored.
Fractal properties of liquid crystals were studied in different contexts, including fractal morphology of polymer dispersed liquid crystals^{14}, fractal distribution and growth of bendcore, calamitic and doped liquid crystal aggregations^{15,16,17,18}, glass phases of liquid crystals inside a porous medium with a random fractal distribution^{19} and fractallike disordering in smectic liquid crystals^{20,21}. However, all these studies were primarily focused on understanding and explaining the bulk phase formation, and not the actual microscopic response of the nematic order to a fractal stimulus. Nematic fluids^{22} are characterized by the orientational order of its constituents—typically rodlike or disklike molecules or particles—that is well responsive to external stimuli, including electric and magnetic fields and surface ordering fields, known as surface anchoring. Presently, the major focus in liquid crystal research is on generation of topological states of the nematic, such as topological handlebody colloids^{23}, topological defects as templates for molecular selfassembly^{24}, active colloids^{25} and knotted particles^{26}, with main motivation to use their inherent birefringence for novel highlytunable photonic materials and metamaterials^{27,28,29}. In these systems, topological characteristics of objects, and topology in general, is explored as the prime route for designing complexity of the structures, but much less focus is given to the fundamental role of the geometry^{30}. Therefore, a question arises as to what extent an irregular and selfsimilar object, like a fractal shaped particle, can imprint its geometric characteristic features into topological states of the nematic anisotropic environment.
In this article, we demonstrate fractal nematic colloids, revealing the response of anisotropic environment characterized by the nematic ordering field to a fractal surface. Specifically, we explore Kochfractalshaped particles of iterations 0 to 3 (and numerically, up to 4) that are shown to induce formation of fractal topological states. Experimentally, direct laser writing into polymer is used for production and polarization microscopy for characterization of these fractal nematic states, whereas theoretically, extensive finiteelement modelling is applied, used also as prediction tool for the experiments. The topological states are characterized by exploring the topological defects pairs of opposite charge, with their number increasing exponentially with the fractal iteration. The fractal feature size relative to the nematic correlation length is shown to affect the structure of defects, especially the defect cores, where effective fusing of defect cores is observed at fractal feature sizes comparable to the correlation length, also leading to symmetry breaking of the nematic orientational ordering. Finally, we introduce basic selfsimilarity functions—local and global—that can be used to characterize fractal selfsimilarity at different resolution levels in anisotropic nematic environment, finding a window of 2–3 orders of magnitude in length scales where good selfsimilar response of nematic is observed.
Results
Construction of fractal nematic colloids
To explore the topological properties of a nematic field induced by a fractal geometry, we choose the iteration of Koch fractals. We construct particles with a Kochfractalshaped cross section and a thin wall of the height h=l_{b}/2, as shown in the schematic Fig. 1b. The zeroth Koch iteration has a threefold rotational symmetry axis and the higher Koch iterations have a sixfold rotational symmetry axis.
Real Koch star particles were produced by using the 3D twophoton direct laser writing technique (for more see Supplementary Note 1; Supplementary Fig. 1). Scanning electron microscopy images of the four iterations of the particles are shown in Fig. 1a–d, demonstrating perfect shape and surface smoothness of the polymer particles. The surfaces of the particles were treated with N,NdimethylNoctadecyl3aminopropyl trimethoxysilyl chloride (DMOAP) silane (ABCR GmbH) to create perpendicular (homeotropic) surface alignment of liquid crystal molecules (Supplementary Note 1). The particles were dispersed in a low birefringent liquid crystal mixture of CCN47 (50%) and CCN55 (50%) (Nematel GmbH), with the nematic to isotropic transition at 65 °C. We enclose the nematic colloidal dispersion in a 30 μm glass cell with strong planar and unidirectional surface alignment. Because of opposing surface alignment on particles and cell's surfaces, the particles are levitated by the force of elastic distortion in the middle of the cell, as illustrated in Fig. 1e.
The Landaude Gennes numerical modelling of the system is based on the free energy expression for a nematic system by Landau and de Gennes in the fully tensorial form ref. 22 (Supplementary Note 2; Supplementary Fig. 2). To numerically minimize the free energy we use a customdeveloped finiteelement method, which is capable of scanning the finest structures of a surface with a high resolution. In finiteelement method, a surface with its exact mathematical meaning (zero thickness) can be introduced and accordingly the surfaceanchoring condition can be unambiguously determined. This makes the finiteelement method a powerful technique for the numerical study of systems containing finelystructured and complicated surfaces and is crucially needed in modelling of our fractal colloids. The sharp edges are numerically rounded in order to achieve a more efficient numerical minimization and more realistically reproduce the direct laser written real particles (for more on surface sharpness, see Supplementary Note 2; Supplementary Fig. 3).
Nematic dispersions of Koch star colloidal particles in planar cells were observed with a polarization microscope and the laser tweezers were used to trap, move and manipulate the particles and its topological defects (Supplementary Note 3)^{31,32}.
Characterization of nematic field response to fractal surface
The experimental images of Kochstar nematic colloids are presented in Fig. 2a–f. In the isotropic phase (panels I of Fig. 2a–f) the Koch particles are freely floating in the isotropic melt and could be rotated by liquid flow. Optical artefacts due to diffraction of light from index missmatching of the Koch star polymer (refractive index 1.5) and the average refractive index of the isotropic phase (1.52) are visible and help to discriminate between the real topological defects in the nematic phase and optical artefacts.
Panels II of Fig. 2a–f show the Koch star particles at room temperature, as observed between crossed polarizers. The zeroiteration Koch particles preferentially orient into two possibilities, that is, with one side parallel or one side perpendicular to the rubbing direction, as shown in panels II to IV in Fig. 2a,b. For the parallel orientation, there are two defects located in the middle of this side, whereas for the perpendicular orientation, there is one defect next to one of the inside corners. Due to elastic repulsion from the confining plates these particles levitate in the middle of the cell and do not tilt or sediment. From the polarized image of this particle in Fig. 2a, II (and similarly also for the particle in Fig. 2b, II) one can clearly see strong director distortions in the corners of the particles. By rotating the analyser at fixed polarizers (Supplementary Fig. 4) one can clearly resolve that defects in the corners are actually pairs of defects with opposite topological winding and charge. Each of the three pairs of defects in each corner of the triangle therefore compensates the winding, giving total winding zero, as expected for the total charge of a torus. One should remember that any iteration of the Koch star particles is topologically equivalent to the torus. Toroidal particles have a genus g=1 and it is known from Gauss–Bonnet theorem^{24} that a colloidal handlebody with genus g carries defects with a total topological charge of ±(1−g). All Koch star particles should therefore have an even number of topological defects which mutually compensate their winding and charge to keep the total charge of any Koch star particle zero at all times.
The first iteration Koch star particles also show two different orientations in the planar cell, rotated at ϕ=0 and ϕ=30° relative to the rubbing direction as shown in Fig. 2c,d, respectively (and Supplementary Fig. 5). In both cases, polarized and redplate images show strongly distorted director in the inner and outer corners of the Koch particle, which is the signature of topological defects. By using the laser tweezers it is not possible to detach any defect line (from modelling seen to be running all along the edge of the particle); however, one is able to pull the defects away from the surface. By counting the number of defects, one can see in Fig. 2c, II; c, III eight pairs of defects in the corners, four inner corners do not show any defect. The other configuration of the first iteration Koch particle shown in Fig. 2d, II; d, III, shows six pairs of defects.
The second iteration Koch star particles show again two stable orientations in the planar nematic cell, as shown in Fig. 2e,f and Supplementary Figs 6 and 7. The configuration in Fig. 2e occurs with 70% probability and the symmetry axis of the Koch particle is parallel to the overall orientation of the nematic. Defects of the second iteration Koch particles are different for these two different orientations. They are identified by taking polarized images of the particle at different orientations of the analyser, where the polarizer is kept perpendicular to the overall nematic director, thus exciting the ordinary ray in the cell. Supplementary Figs 6 and 7 show detailed analysis of defects of the seconditeration Koch particles with orientation equal to that in Fig. 2e,f. The ϕ=0 orientation of the seconditeration Kochstar particles (Fig. 2e) shows 28 compensated defect pairs. As it is quite easy to observe point defects (or projections of line defects onto the imaging plane), it was not possible to detect any disclination line, running along the upper and lower edge of the first and seconditeration Koch particles. These lines must be depressed into the particle or strongly pinned to the surface, being therefore inaccessible to grabbing by the laser tweezers. The numerical modelling shows that the general 3D morphology of the topological defects for all the Koch iterations 0 to 3 is an integrated combination of the disclination lines with winding numbers +1/2 and −1/2 that join together in a specific order, as shown in Fig. 2a, IV–f, IV and Supplementary Fig. 8, and commented in Supplementary Note 4. Good agreement between experiments and modelling is found. Notably, the exact 3D morphology of the defects—especially at the top and bottom of the particle—is affected by the sharpness of the particle edges and the exact orientation of the particle (Supplementary Fig. 9), as the edges can pin or even locally suppress sections of the defect loops. To generalize, the generation of topological defects and the corresponding topological states are the result of an interplay between geometry and topology, where the fractal surface modulations induce local formation of defect pairs to minimize the elastic distortion of the nematic field.
Topology of fractal defect states
Topologically, the considered Koch particles are equivalent to tori, thus having zero total topological charge^{24}. Having immersed the particles into a uniformly aligned nematic field (that is, planar nematic cell), therefore, also the net topological charge of all the surrounding defect structure must be equal to zero. Indeed, observing the structure of defects, they are a complex threedimensional topological structure which effectively consists of multiple mutually fused defect loops that engulf the particle (Supplementary Fig. 8). A quantitative relation between the fractal surface and the generation of topological defects can be established by observing the nematic profile in a selected (xy) plane that intersects the fractalmodulated surface, as shown in Fig. 3. In this crosssection, which effectively, can be considered as a quasitwodimensional nematic, the director is roughly fully inplane and the topological defects are seen as twodimensional +1/2 and −1/2 winding number point defects (but are actually crosssections, which effectively, can be considered as a quasitwodimensional nematic, of the threedimensional defect loop). These +1/2 and −1/2 defects are all observed to emerge in mutually compensating pairs, in all fractal iterations of Koch particles, which assures homogeneous nematic farfield (Fig. 3a–c).
By considering the geometric parameters of the Koch surface, especially the total number of edges which grows as 3 × 4^{N} with iteration N (N=0,1,2,..), the number of the defects pairs for given iteration N can actually be determined as a rule, if selfsimilarity of the nematic response upon changing the iterations is assumed. Accordingly, we find that the number of defect pairs n for orientation ϕ=0 of Koch particles is equal to (for N>0; and n=3 for N=0), and for orientation ϕ=30° of the particles (for N>1; n=3 for N=0 and n=6 for N=1), growing exponentially with iteration N. The number of defect pairs observed in experiments (for iterations N=0–2) and in numerical modelling (for iterations N=0–4) is shown in Fig. 3d and is in exact agreement with the analytically predicted formula. We should stress that this observed exponential growth of the number of defect pairs actually ends when fractal feature size becomes comparable to the nematic correlation length, as individual defect cores do not form anymore but rather larger regions of reduced degree of order start to emerge.
The role of particle size and fractalselfsimilarity
The fractal topological states depend on the size of the Koch cavities, as shown in Fig. 4a where the particle size (that is, edge length l_{b}) relative to the nematic correlation length l_{b}/ξ is in our study the main size parameter as the surfaces are taken in the strong (but finite) anchoring regime with surface extrapolation length^{22} ξ_{S} generally shorter than l_{b} and ξ (ξ_{S}∼1 nm). Nematic correlation length is the elementary scale of nematic when considered at the mesocopic level and describes the ratio between elasticity and bulk order, effectively scaling as , where L is the nematic elastic constant and A the bulk ordering term^{21}. For large particle or fractal feature sizes, the structures are characterized by the formation of pronounced individual defects, with welldetermined core regions of reduced nematic degree of order. By increasing the fractal iteration, new defectantidefect pairs form and the complexity of the fractal nematic pattern increases. The regime of large l_{b}/ξ is actually the regime of the presented experiments and calculations shown in Figs 2 and 3. However, when the particle size (l_{b}) or the fractal feature size (l_{t}) become comparable to the nematic correlation length (bottom two rows in Fig. 4a), the molten cores of nematic defects effectively start to overlap, and can fuse into larger regions with reduced nematic degree of order, for example, see large regions of low degree of order in Fig. 4a at N=3, l_{b}/ξ=9 (in blue). Effectively, by increasing the fractal iterations, the fractal surfaces start to impose an overly complex frustration on the nematic order, and it becomes locally more energetically favourable for the nematic to reduce degree or order and approach isotropic phase and change the symmetry of ordering within the fractal cavity (see Fig. 4b), which is a process that could be interpreted as fractal nematic melting. Opposite process is known in other systems known as capillary condensation where nematic forms within the isotropic background due to the stabilization from the surface^{33}. Experimentally, the observed fractal nematic melting could possibly be realized in systems where geometrical feature sizes can be made of similar size order as the nematic correlation lengths, such as in colloidal nematic liquid crystals^{34}.
The fundamental feature of fractals is selfsimilarity at different lengthscales and the Koch geometry (without nematic) is infinitely selfsimilar upon increasing the fractal iteration. However, for the nematic response—that is, the director and nematic degree of order we find that they are selfsimilar only to some approximation and within distinct range of scales. The relative selfsimilarity of nematic surrounding Koch particles of fractal iterations N and M (Fig. 4c) is quantified by introducing two selfsimilarity functions (that is, overlap functions or norms): for the director , where θ^{(N,M)} is the relative angle between the directors in iterations N and M at position r, and for the nematic degree of order (S_{eq} is the bulk nematic degree of order). The two selfsimilarity functions are constructed to be equal to one if the patterns at different fractal iterations are locally selfsimilar and become zero if not (for more, please see Supplementary Note 2). The selfsimilarity functions are calculated for the selected regions, comparing iteration pairs (N=1, M=2), (N=1, M=3), and (N=2, M=3), as shown in Fig. 4c. The patterns of nematic director and nematic degree of order emerge to be well similar over the repeating fractal region, except for close to defect cores where differences at the length scale of the nematic correlation length are observed. Especially, the defects change location relative to the edges. As an even more focused measure of the selfsimilarity we integrate the selfsimilarity functions over the considered regions Ω, and , allowing us to simply quantify the relative selfsimilarity of different iterations, as shown in Fig. 4d. Selfsimilarity can be further analysed by introducing various forms of correlation functions (Supplementary Note 5; Supplementary Fig. 10).
Discussion
The general deviation of the nematic response from the full selfsimilarity emerges to be at the level of several per cent, and decreases with either small or large fractal cavity sizes l_{b}/ξ, which can be explained by two main mechanisms: (i) the presence of the nematic correlation length and (ii) the fundamental uniaxial ordering of the nematic. On one hand, the nematic correlation length affects the exact structure and position of the defect cores; therefore, the nematic director and degree of order are well selfsimilar only in the regime of either large or small Koch cavities relative to the correlation length, where defect cores are either large or small, subjected to the condition that surfaceanchoring regime is not notably different at all these different cavity length scales. Changing the nematic correlation length—that is, either changing the material itself or varying parameters like temperature will shift the effective window of selfsimilarity to different physical length scales. On the other hand, the uniaxial ordering breaks the symmetry of the director profiles within the fractal arms (for example see Fig. 4b) making some arms different at different fractal scales and some not. This local loss of selfsimilarity in distinct fractal regions is the consequence of inherent longrange nematic elasticity which causes that the difference in the profiles originating from the roughly uniform nematic region (in our case in the center of the cavity) proliferates into multiple fractal regions and iterations. Possibly, such inherent imprinting of uniaxial order and loss of symmetry could be enhanced or suppressed by using fractal patterns of different geometry. Also, interesting to explore would be the role of the surface anchoring and its effects on the selfsimilarity. Any variation of the surfaceanchoring strength would introduce another length scale into the system—the surface extrapolation length—leading to further complex interplay between surfaces, bulk nematic elasticity and the fractal geometry.
In summary, we have demonstrated fractal nematic colloids as novel materials, which are a distinct realization of the coupling between the fractal order and uniaxial nematic vectortype ordering. Koch colloidal particles are produced via nanoprinting technique in the form of hollow prisms with fractal belt surface and used as inner and outer confinement for the nematic field. The formation of fractal topological states characterized by locally compensating pairs of topological defects is shown, as governed by the local geometry of the fractal surface and its iteration, and less by the topology. This is analogous to the recent observation of topological states on a fibre with genus g=0, which can carry any odd number of topological defects with a total charge of −1 (ref. 35). The number of fractal generated defect pairs are shown to follow exponentiallaw series, reaching already ∼100 defect pairs at fractal iteration 3. The ratio between the fractal feature size and the nematic correlation lengths is shown to crucially affect the exact response of the nematic, also conditioning the sizewindow and number of succeeding fractal iterations that actually can be realized with given materials. Basic selfsimilarity functions between different fractal iterations are introduced for the nematic director and the degree of order, and used to quantify the fractal selfsimilarity of the nematic pattern. More broadly, this work demonstrates the response of effectively elastic vectortype fields to fractal stimulus or surfaces, resulting in a broad series of topological states – that is, field conformations governed by complex fractal selfsimilar patterns of topological defects which are stabilized by the fractal geometry. Finally, this work is a contribution towards novel stimulus responsive soft materials and can prove relevance in diverse fields ranging from confined active nematic systems to multiscale photonics and lasing.
Methods
Experiments
Koch particles were produced by direct laser writing using a commercially available Photonics Professional (Nanoscribe Gmbh) and a photoresistive gellike photoresist IPG (Nanoscribe). The particles were later treated with an aqueous solution of DMOAP (ABCR GmbH), which enforces strong homeotropic anchoring on the surfaces of the Koch nematic colloids. The colloidal particles were then immersed in a low birefringent mixture of CCN 47 (50%) and CCN 55 (50%) (Nematel GmbH), which is nematic at room temperature. The suspension was then placed in a glass cell of thickness 30 μm with strong planar anchoring at the boundaries. The system was then observed using polarized optical microscopy, where the angle of the analyser with respect to the polarizer was changed, thus improving the contrast of the disclination lines in the images.
Numerical modelling
The numerical modelling of the system was performed using the Landaude Gennes freeenergy expression which is written in powers of a local symmetric traceless tensor order parameter, Q_{ij}, and its derivatives, ∂_{k}Q_{ij}. The tensor order parameter was used to characterize nematic orientational order about the local average molecular directions, called director, n, and the local degree of molecular order along the directors, called nematic degree of order S. The total freeenergy functional is written as follows
in which A, B and C are material dependent parameters and A is also taken to be linearly dependent on temperature. L is the elastic constant and W is the anchoring constant. To impose homeotropic anchoring condition on the colloidal surfaces we take in which ν denotes normal vectors on the colloidal surfaces. In the absence of external constraints there is a uniform bulk nematic with the equilibrium scalar order parameter equal to and the correlation length of the liquid crystal in this mean field theory is given as . The following material parameters are used: A=−0.07 × 10^{5} J m^{−3}, B=3.6 × 10^{5} J m^{−3} C=3.0 × 10^{5} J m^{−3}, L=1.0 × 10^{−11} N W=1.0 × 10^{−2} J m^{−2}. On the basis of these parameters we have ξ=10 nm and S_{eq}=0.653. The length scale of the fractal colloids and cavities is rescaled as l_{b}/ξ and takes values in the range from 9 to 100. The free energy is numerically minimized by a finiteelement method^{36,37}.
Data availability
The data that support the findings of this study are available from the corresponding author upon request.
Additional information
How to cite this article: Hashemi, S. M. et al. Fractal Nematic Colloids. Nat. Commun. 8, 14026 doi: 10.1038/ncomms14026 (2017).
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References
Madelbrot, B. B. Fractional Brownian motions, fractional noises and applications. SIAM Rev. 10, 422–437 (1968).
Stanley, H. E. Application of fractal concepts to polymer statisctics and to anomalous transport in randomly porous media. J. Stat. Phys. 36, 843–860 (1984).
Jouault, N. et al. Welldispersed fractal aggregates as filler in polymersilica nanocomposites: longrange effects in rheology. Macromolecules 42, 2031–2040 (2009).
Meakin, P. Fractal aggregates. Adv. Colloid. Interf. 28, 249–331 (1987).
Schaefer, D. W., Martin, J. E., Wiltzius, P. & Cannell, D. S. Fractal geometry of colloidal aggregates. Phys. Rev. Lett. 52, 2371–2374 (1984).
Yu, B. M. & Li, J. H. Some fractal characters of porous media. Fractals 9, 365–372 (2001).
Ma, D., Stoica, A. D. & Wang, X. L. Powerlaw scaling and fractal nature of mediumrange order in metallic glasses. Nat. Mater. 8, 30–34 (2009).
Bullmore, E. T. & Sporns, O. The economy of brain network organization. Nat. Rev. Neurosci. 13, 336–349 (2012).
Risser, L. et al. From homogeneous to fractal normal and tumorous microvascular networks in the brain. J. Cerebr. Blood Flow Methods 27, 293–303 (2007).
LiebermanAiden, E. et al. Comprehensive mapping of longrange interactions reveals folding principles of the human genome. Science 326, 289–293 (2009).
Goldberger, A. L. et al. Fractal dynamics in physiology: alterations with disease and aging. Proc. Natl Acad. Sci. USA 99, 2466–2472 (2002).
Koch, H. Sur une courbe continue sans tangente, obtenue par une construction geometrique elementaire. Ark. Mat. 1, 681–702 (1904).
Koch, H. V. in Classics on Fractals (ed. Edgar, G. A.) 24–45 (AddisonWesley Publishing Company, 1993).
Dierking, I. Relationship between the electrooptic performance of polymerstabilized liquidcrystal devices and the fractal dimension of their network morphology. Adv. Mater. 15, 152–156 (2003).
Dierking, I. Fractal growth patterns in liquid crystals. Chem. Phys. Chem. 2, 59–62 (2001).
Dierking, I., Chan, H. K., Culfaz, F. & McQuire, S. Fractal growth of a conventional calamitic liquid crystal. Phys. Rev. E 70, 051701 (2004).
Huang, Y. M. & Zhai, B. G. Fractal features of growing aggregates from isotropic melt of a chiral bentcore liquid crystal. Mol. Cryst. Liq. Cryst. 511, 1807–1817 (2009).
Goncharuk, A. I., Lebovka, N. I., Lisetski, L. N. & Minenko, S. S. Aggregation, percolation and phase transitions in nematic liquid crystal EBBA doped with carbon nanotubes. J. Phys. D Appl. Phys. 42, 165411 (2009).
Feldman, D. E. Quasilongrange order in nematics confined in random porous media. Phys. Rev. Lett. 84, 4886–4889 (2000).
Bellini, T., Radzihovsky, L., Toner, J. & Clark, N. A. Universality and scaling in the disordering of a smectic liquid crystal. Science 294, 1074–1079 (2001).
Iannacchione, G. S., Park, S., Garland, C. W., Birgeneau, R. J. & Leheny, R. L. Smectic ordering in liquidcrystalaerosil dispersions. II. Scaling analysis. Phys. Rev. E 67, 011709 (2003).
De Gennes, P. G. & Prost, J. The Physics of Liquid Crystals, 2nd edn (Oxford Univ. Press, 1993).
Senyuk, B. et al. Topological colloids. Nature 493, 200–205 (2013).
Wang, X. G., Miller, D. S., Bukusoglu, E., de Pablo, J. J. & Abbott, N. L. Topological defects in liquid crystals as templates for molecular selfassembly. Nat. Mater. 15, 106–112 (2016).
Lavrentovich, O. Active colloids in liquid crystals. Cur. Opin. Coll. Int. Sci. 21, 97–109 (2016).
Martinez, A. et al. Mutually tangled colloidal knots and induced defect loops in nematic fields. Nat. Mater. 13, 259–264 (2014).
Zheludev, N. I. & Kivshar, Y. S. From metamaterials to metadevices. Nat. Mater. 11, 917–924 (2012).
Muševič, I. Liquidcrystal microphotonics. Liq. Cryst. Rev. 4, 1–34 (2016).
Khoo, I. C. Nonlinear optics, active plasmonics and metamaterials with liquid crystals. Prog. Quant. Electron. 38, 77–117 (2014).
Alexander, G. P., Chen, B. G. G., Matsumoto, E. A. & Kamien, R. D. Colloquium: disclination loops, point defects, and all that in nematic liquid crystals. Rev. Mod. Phys. 84, 497–514 (2012).
Jampani, V. S. R. et al. Colloidal entanglement in highly twisted chiral nematic colloids: twisted loops, Hopf links, and trefoil knots. Phys. Rev. E 84, 031703 (2011).
Nych, A. et al. Chiral bipolar colloids from nonchiral chromonic liquid crystals. Phys. Rev. E 89, 062502 (2014).
van Roij, R., Dijkstra, M. & Evans, R. W. Interfaces, wetting, and capillary nematization of a hardrod fluid: Theory for the Zwanzig model. J. Chem. Phys. 113, 7689–7701 (2000).
Gârlea, I. C. et al. Finite particle size drives defectmediated domain structures in strongly confined colloidal liquid crystals. Nat. Commun. 7, 12112 (2016).
Nikkhou, M. et al. Lightcontrolled topological charge in a nematic liquid crystal. Nat. Phys. 11, 183–187 (2015).
Mozaffari, M. R., Babadi, M., Fukuda, J. & Ejtehadi, M. R. Interaction of spherical colloidal particles in nematic media with degenerate planar anchoring. Soft Matter 7, 1107–1113 (2011).
Hashemi, S. M. & Ejtehadi, M. R. Equilibrium state of a cylindrical particle with flat ends in nematic liquid crystals. Phys. Rev. E 91, 01250310 (2015).
Acknowledgements
We acknowledge financial support from Slovenian Research Agency ARRS under contracts P10099, J17300, J16723, contract No. 37473, and EU Marie Curie CIG grant FREEFLUID. S.M.H. acknowledges partial financial supports from Science Ministry of Iran and National Elites Foundation of Iran. Authors acknowledge discussions with S. Čopar and S. Žumer.
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S.M.H. performed simulations, theoretically analysed the numerical data and assisted in preparing the experiments. U.J. performed experiments. M.R.M. contributed in developing the main part of the code and S.M.H. made modifications and more developments to the code for this project. M.R.E. contributed in overseeing the development of the numerical code. I.M. guided and supervised experimental work. M.R., I.M. and S.M.H. cowrote the main manuscript. All authors contributed to the writing of the manuscript. M.R. conceived and designed the project.
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Hashemi, S., Jagodič, U., Mozaffari, M. et al. Fractal nematic colloids. Nat Commun 8, 14026 (2017). https://doi.org/10.1038/ncomms14026
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DOI: https://doi.org/10.1038/ncomms14026
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