Till Welker*ab and
Ricard Alert*bcd
aSchool of Physics and Astronomy, University of Edinburgh, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, United Kingdom. E-mail: t.a.welker@sms.ed.ac.uk
bMax Planck Institute for the Physics of Complex Systems, Nöthnitzerst. 38, 01187 Dresden, Germany. E-mail: ralert@pks.mpg.de
cCenter for Systems Biology Dresden, Pfotenhauerst. 108, 01307 Dresden, Germany
dCluster of Excellence Physics of Life, TU Dresden, 01062 Dresden, Germany
First published on 15th August 2025
Via mechanisms not accessible at equilibrium, self-propelled particles can form phases with positional order, such as crystals, and with orientational order, such as polar flocks. However, the interplay between these two types of order remains relatively unexplored. Here, we address this point by studying crystals of active particles that turn either towards or away from each other, which can be experimentally realised with phoretic or Janus colloids or with elastically-coupled walker robots. We show that, depending on how these interactions vary with interparticle distance, the particles align along directions determined by the underlying crystalline lattice. To explain the results, we map the orientational dynamics of the active crystal onto a lattice of spins that interact via (anti-)ferromagnetic alignment with each other plus nematic alignment with the lattice directions. Our findings indicate that orientational and positional order can be strongly coupled in active crystals, thus suggesting strategies to control orientational order by engineering the underlying crystalline lattice.
Orientational order, such as the polar order found in flocks, can arise from direct alignment interactions between the orientations of self-propelled particles, as originally demonstrated in the Vicsek model.8 More recent work showed that flocking can also emerge when active particles attract each other,9 align their orientation with their velocity7,10,11 or, alternatively, when particles turn away from one another.12–14
Regarding positional order, self-propelled particles have been found to crystallise via either motility-induced phase separation,15–20 attractive interactions,9,21–25 or simply at densities approaching close packing.26–32 Recent work also showed that, in confinement, self-propelled particles can form Wigner crystals that emerge through repulsive interactions, which keep the particles at a distance.13,14,33–36 Particles in active crystals were also found to orient and move collectively as a flock, thus displaying not just positional but also orientational order.9,13,14,29,37–41 Beyond such flocking crystals, the interplay between positional and orientational order in active matter has been recently explored in the XY model with vision–cone interactions,42–45 in crystals of self-aligning walker robots,39,40 and in crystallites of Quincke rollers.25
Here, we address this question by studying crystals of self-propelled particles that turn either towards or away from each other. These interactions, which emerge for example in metal-dielectric Janus colloids,13,46 couple the polarity of one particle to the orientation of the bond with a neighboring one. Hence, such polarity-bond interactions produce a crosstalk between positional and orientational order. We show that, on a lattice, polarity-bond interactions yield either effective alignment or anti-alignment between particle polarities, like in the XY model. In addition, they also produce nematic alignment of the particle polarities and the lattice axes. We first study the interplay between these two effects for particles on a chain. We find that the particles can achieve either local ferro- or antiferromagnetic order, either along or perpendicular to the chain. We then consider a square lattice and find that the particles can orient locally along the lattice axes and/or form domains of polar order, depending on the distance dependence of the underlying interactions. On the triangular lattice, the polarity-bond interactions can be frustrated. Overall, our findings show that, through polarity-bond interactions, the orientational order of active crystals can depend strongly on the lattice structure. Thus, our work suggests strategies to obtain desired states of orientational order in active crystals by engineering specific particle interactions and crystalline lattices.
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Fig. 1 Active crystal with polarity-bond interactions. (a) Schematic of an active crystal made of self-propelled particles bound to lattice sites. The green arrows indicate distance vectors. The purple arrows indicate the self-propulsion force ξtv0![]() |
The particles interact through turn-towards or turn-away torques given by
Γji = Γ0f(|rij|)![]() ![]() | (1) |
![]() | (2) |
![]() | (3) |
Self-propulsion displaces particles away from the lattice sites. Particles reach a displacement Δri = li, with displacement length l = ξtv0/k, in a time scale τe = ξt/k set by the elastic restoring force (Fig. 1a). As in recent work,40 we assume that this elastic relaxation time is much smaller than the time scale of the angle evolution: τe ≪ τθ = ξr/Γ0. Under this approximation, particle positions adiabatically follow the slower orientation dynamics. Ignoring translational noise, which is negligible in front of rotational noise for Janus particles,13,46 particle positions are given by
ri(t) = r(0)i + Δri(t) = r(0)i + l![]() | (4) |
![]() | (5) |
Assuming nearest-neighbor interactions, and that the displacement l is much smaller than the lattice constant a, we expand the radial dependence in powers of l/a as (see Section S1 of the SI)
![]() | (6) |
![]() | (7) |
We now sum over nearest neighbours to obtain the torque on particle i:
![]() | (8) |
![]() | ||
Fig. 2 Polarity-bond interactions on a lattice. On a lattice (dashed axis), and given a reference particle j (gray), the original interaction torques yield three contributions (eqn (8)): alignment or anti-alignment with the neighbour's orientation ∝ sin(θj − θi) (a), with the lattice axes ∝ sin2(ϕij − θi) (b), and with the neighbour's mirror image ∝ sin(2ϕij − θj − θi) (c). Green (red) particles indicate the orientations favoured when the prefactor of the corresponding term in eqn (8) is positive (negative), which depends on the sign of the interaction torques, Γ0/|Γ0|, and the distance-dependence parameter Ω. |
The sign of each of these terms depends on the value of Ω, which is determined by the distance dependence f(r) of the interaction torques (Fig. 1c). For metal-dielectric Janus colloids,13,46 their electrostatic dipole–dipole interactions give f(r) = a4/r4, which gives Ω(a) = −4. For particles reorienting in the chemical concentration field produced by others,14 we have f(r) = a2/r2, which gives Ω = −2. Similarly, systems where torques arise from short-ranged repulsive interactions will have Ω < 0. Other possible cases are topological interactions, which are distance-independent, and hence have Ω = 0. Such topological interactions could either be programmed in robots or arise naturally in animals that turn towards or away from their nearest neighbors regardless of their distance. Yet another option is torques due to elastic forces,11 for which f(r) = (r − )/(a −
), and hence Ω = 1/(1 −
/a) can be either positive or negative depending on the ratio between the spring's rest length
and the lattice constant a. Elastic forces were proposed to model the soft interactions between cells,10,33,47 and they were realised in crystals made of hexbugs connected by springs.39 Overall, different systems realise different values of the distance-dependence parameter Ω (Fig. 1c). Hence, below we explore its role and we find that it controls the type and strength of orientational order in our active crystals.
Interestingly, the torque in eqn (8) can be derived from an effective energy H, such that the dynamics of the particle orientations θi read
![]() | (9) |
![]() | (10) |
On a chain, each particle has two neighbours with lattice angles ϕij = 0,π. In this case, the effective energy eqn (10) reduces to that of an anisotropic XY model for spins i = (cos
θi, sin
θi) in a nematic field which aligns them either parallel or perpendicular to the chain axis (see Section S4 of the SI):
![]() | (11) |
Despite the presence of effective alignment interactions, the chain does not exhibit global polar order; the polar order parameter vanishes (dashed lines in Fig. 3c and d). The situation is reminiscent of the XY model in 1d, for which the Hohenberg–Mermin–Wagner theorem forbids the breaking of the continuous rotation symmetry, and hence the emergence of long-range polar order.51–53 Here, however, the theorem does not apply because the anisotropy of the interactions as well as the lattice alignment in eqn (11) already break the continuous rotational symmetry.
To rationalise the absence of polar order in our model, we adapt Peierls' argument for the lack of ferromagnetic order in the 1d Ising model.53–55 We can extend this argument to our case because the effective energy has the discrete symmetry θi → θi + π. Hence, we consider an excitation in the form of a domain of π-flipped spins, such that the system configuration looks like …↗↙…↙↗…. Because of the symmetry of the effective energy function, the domain bulk costs no extra energy; the only energy penalty comes from the domain walls, whose relative contribution decreases with increasing system size N. However, the number of ways to place the domain walls, which determines the system's entropy, increases with system size. In the thermodynamic limit N → ∞, and for any non-zero temperature (here noise strength Dr > 0), this entropic contribution wins and prevents the emergence of polar order. This argument does not rule out the existence of local polar order, as seen in Fig. 3k. On large scales, however, no polar order persists.
Yet, our active chains are not always disordered. They can display global nematic order (Fig. 3b). We quantify it through the scalar nematic order parameter , which is the largest eigenvalue of the nematic order-parameter tensor Qαβ = 〈2nαi(t)nβi(t) − δαβ〉i,t, where α and β are indices for spatial components. In our system, nematic order arises from the lattice-alignment contribution in the last term of eqn (11), which acts as an external nematic field with strength controlled by the distance-dependence parameter Ω. For Ω = 1, the lattice-alignment contribution vanishes. In this case, the effective energy eqn (11) corresponds to that of the XY model, for which the Hohenberg–Mermin–Wagner theorem forbids global order. Accordingly, we obtain states with no global nematic order (black horizontal stripe in Fig. 3b) but with local order, either ferromagnetic or anti-ferromagnetic (Fig. 3f and j).
For other values of Ω, there can be global nematic order (Fig. 3b). For small torque amplitudes Γ0, fluctuations allow the system to sample different configurations. For large torque amplitudes Γ0, the interactions favour specific configurations (Fig. 3e–k), which we describe and label with arrow symbols below.
For turn-away interactions (Γ0 < 0), we find two states (Fig. 3c): anti-aligned perpendicular to the chain (Fig. 3e, ↑↓) and anti-aligned along the chain (Fig. 3g, →←), in addition to the state with only local anti-ferromagnetic order for Ω = 1 (Fig. 3f, ↗↙). Respectively, for turn-towards interactions (Γ0 > 0), we find three states (Fig. 3d): anti-aligned along the chain (Fig. 3h, →←), aligned perpendicular to the chain (Fig. 3i, ↑↑), and aligned along the chain (Fig. 3k, ←←), in addition to the state with only local ferromagnetic order for Ω = 1 (Fig. 3j, ↗↗). We note that any of the aligned states described here displays only local polar order. In the following, we explain the emergence of these states by analyzing the equilibrium configurations of two spins.
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Fig. 4 Equilibrium states for two particles. (a) Arrow representations of the two-particle states in the θ1θ2 plane. (b) Effective energy H for different values of Ω. Light (dark) areas are energetically favourable for turn-towards (turn-away) torques, corresponding to ![]() ![]() |
Beyond the ground state, since the angle dynamics in eqn (9) is equivalent to a system of interacting Brownian particles, the probability density follows the Boltzmann distribution p(θ1,θ2) ∝ e−H(θ1,θ2). The turquoise (orange) contour lines in Fig. 4b enclose regions with 90% of the probability for turn-towards (turn-away) torques at . Using Fig. 4a as a reference, we identify the states corresponding to these high-probability regions. The results, shown in Fig. 4c, match with the states found in our simulations (Fig. 3). Thus, the equilibrium behavior of two particles explains the variety of states found for the many-body system.
Note that, for Ω = 1, the effective energy reduces to that of the XY model, which is rotationally invariant, and hence the minimum becomes degenerate. Accordingly, the probability for turn-towards (turn-away) torques concentrates around the ferromagnetic θ2 = θ1 (anti-ferromagnetic θ2 = θ1 + π) ground state, without any preferential alignment with the chain axis (Fig. 4b, Ω = 1). For turn-away interactions, the ground states are non-degenerate for Ω ≠ 1: they are the ↑↓ configuration for Ω < 1 and →← for Ω > 1. For turn-towards interactions, for Ω < 0, the ground state is also the →← configuration. For Ω ≥ 0, the ground state is degenerate, given by any ferromagnetic configuration θ2 = θ1 (Fig. 4b, turquoise diagonal stripes). However, this degeneracy is broken once fluctuations are taken into account, as they allow the particles to explore the shape of the effective energy around the minimum. Analyzing the probability p(θ1,θ2) ∝ e−H(θ1,θ2) reveals the most likely configurations: ↑↑ for 0 < Ω < 1, and ←← for Ω > 1, as shown in Fig. 4c, which match those in Fig. 3.
To explore the role of the distance-dependence parameter, we consider the values Ω = −0.5,0,0.5, for which Fig. 5a and b show snapshots at large and small scales. The amplitude of neighbour and mirror alignment is proportional to |Ω + 1| and |Ω − 1|, respectively. For Ω = 0.5, neighbor XY alignment is stronger. Consequently, the system forms polar domains and topological defects, similar to the XY model. However, the weak contribution of mirror alignment creates a preference to orient along the lattice, as reflected in the orientational distribution function shown in the inset. For Ω = 0, the neighbor alignment and mirror alignment contributions have equal strengths. In this case, particles orient along one lattice axis, forming a state with nematic order consisting of oppositely-pointing stripes of different widths. For Ω = −0.5, mirror alignment dominates, and the particles are anti-aligned along the direction of orientation and aligned perpendicular to it. This arrangement results in regular stripes with alternating orientation.
To understand these patterns, we consider a particle with a fixed orientation along the x direction (θ = 0) and we study the effective interaction energy eqn (10) for varying orientations of the neighbour in the direction of orientation, θ→, and of the neighbour perpendicular to it, θ↑. For Ω ∈ (−1,1) the neigbour alignment term tends to align both θ→ and θ↑ with the reference particle, while the mirror alignment term tends to anti-align θ→ and align θ↑ with θ = 0. Fig. 5c shows the interaction energy H, with contour lines enclosing 90% of the probability p(θ→,θ↑) ∝ e−H(θ→,θ↑). For Ω = −0.5, mirror alignment prevails, creating anti-alignment along the orientation direction and alignment perpendicular to it. This is consistent with the aligned stripes of alternating direction seen on large scales (Fig. 5a, left). For Ω = 0.5, neighbour alignment is stronger, resulting in aligned regions (Fig. 5a, right). For Ω = 0, both interaction terms tend to align θ↑ with the reference particle. In contrast, the alignment and misalignment effects on θ→ cancel, such that the interaction does not set the orientation θ→. This is consistent with our observation of stripes that are strongly correlated perpendicular to the particle orientation, but that randomly alternate in the direction of orientation. In all cases, the configurations predicted from this 3-particle picture based on the interaction energy agree with the simulation results.
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Fig. 6 Ordering and frustration on a triangular lattice. (a), (d), (e) and (h) Close-up snapshots of simulations of 500 × 500 particles on a triangular lattice. Particle orientations are shown in color as in Fig. 5. The insets show the distribution of particle orientations. (a) and (d) The case with Ω = 1 corresponds to the XY model, with either antiferromagnetic (Γ0 < 0) or ferromagnetic (Γ0 > 0) interactions. (b) and (c) Schematics of frustrated interactions. (b) For turn-away torques, satisfying the antiferromagnetic interactions of a central particle (green bonds) results in unfavourable interactions between its neighbours (red bonds). (c) The system then reaches a compromise state. (e) and (h) The case with Ω = −1 corresponds to only mirror-alignment interactions, and hence the particles align relative to the lattice. (f) For turn-away torques, satisfying the mirror-alignment interactions of a central particle (green bonds) results in unfavourable interactions between neighbours (red bonds). (g) The system then finds a frustrated compromise state. (h) For Ω = −1, frustration is also present for turn-towards torques. |
We start with the well-known case of the XY model, which we retrieve by setting Ω = 1 (see eqn (10)). In this case, the energy is rotation-invariant and the particles do not align with the lattice, as shown by the orientational distributions in the insets in Fig. 6a and d. For turn-towards torques (Γ0 > 0), the particles experience ferromagnetic XY interactions, and hence they develop local polar order (Fig. 6d). For turn-away torques (Γ0 < 0), the XY interactions are antiferromagnetic. In a triangular lattice, not all particle pairs can be simultaneously antiparallel (Fig. 6b), which is known as geometric frustration. As a result, the system reaches states like the one shown in Fig. 6a, which emerge as a compromise between achieving some anti-alignment between particles while avoiding alignment, as sketched in Fig. 6c.
For Ω ≠ 1, the effective energy eqn (10) breaks rotational invariance, and the particles orient relative to the lattice (Fig. 6e and h). To showcase the effects of the lattice, we focus on Ω = −1, for which only the mirror-alignment term in eqn (10) is present. For turn-away torques, Fig. 6f shows that satisfying the mirror-alignment interactions for the central particle, again, results in unfavourable interactions between the neighbours. To avoid them, the system reaches a compromise state consisting of alternating aligned stripes, shown in Fig. 6e and sketched in Fig. 6g. For turn-towards torques, the interactions are also frustrated (Fig. 6h). Thus, mirror-alignment interactions are frustrated by the triangular lattice for both signs of the interaction. For Ω ≠ ±1, an interplay between neighbour and mirror alignment results in generally anisotropic and frustrated states. Particles tend to align relative to the lattice but, due to frustration, the resulting states can no longer be predicted by minimising the interaction energy of two particles as in previous sections.
Overall, by extending our analysis of the one-dimensional chain, these results show that lattice-dependent orientational order can also arise in two-dimensional lattices. In addition, we found that the polarity-bond interactions between our particles can be frustrated in the triangular lattice. An interesting question for future work is whether our system can exhibit long-range polar order or not, as discussed for non-reciprocal XY models.42–45 Another direction is to consider three-dimensional lattices.
Recent work on active solids showed that the interplay between positional and orientational dynamics gives rise to activity-driven oscillations termed collective actuation.7,39,57 Here, we explored a different regime by focusing on the limit in which particle positions equilibrate fast compared to their orientations.40 In this regime, our results show that active crystals can display several states with orientational order, with particles aligned in a variety of ways with respect to the lattice directions. The precise state that is favoured depends on whether the interaction torques are turn-towards or turn-away, as well as how they vary with distance.
Thus, our findings reveal that polarity-bond interactions enable one to control the orientational order of active crystals through the lattice structure. Experimentally, such control could be achieved in systems of either metal-dielectric Janus colloids,13,46,58 which interact electrostatically through turn-towards or turn-away torques, or macroscopic robots, which can be programmed to do so. Under confinement, active Janus colloids form crystals at high densities due to their repulsive interactions.13 These repulsive interactions, when approximated for small displacements of the particles around their lattice sites, would give rise to the elastic forces considered in our model. Alternatively, the particles can be placed in engineered lattices made either with grooved substrates59–61 or with periodic optical potentials generated with interfering lasers.62–64 In such lattices, both the structure and the lattice constant can be controlled. In our model, these changes would affect the lattice angles and the value of the distance-dependence parameter Ω, which would then impact the orientational order of the active crystal.
From a theoretical standpoint, our findings introduce the notion of lattice-dependent orientational order, which describes states in which rotational symmetry is broken through a coupling to the lattice structure. By revealing that the lattice structure can impact the orientational order in active crystals, our work complements previous studies of active solids, which mainly focused on how activity distorts or even melts their crystalline structure.29,30,65 Our work also complements recent studies on the impact of spatial anisotropy, such as the one imposed by a lattice, on flocks.44,45,66 More generally, our findings call for further developments of general continuum theories of active solids:25,67–70 A challenge for future work is to generalise them to incorporate information about the lattice structure which, as we have found, can affect orientational order.
Supplementary information is available. See DOI: https://doi.org/10.1039/d5sm00627a
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