Introduction

Skyrmions, first conceptualized by Tony Skyrme in 1961 as a particle-like field model describing baryons in nuclear physics1, were later adapted to condensed matter physics to describe topologically stable swirl or vortex-like spin configurations2,3,4,5,6,7,8,9,10,11. These structures cannot be smoothly deformed into magnetic ground states with uniformly aligned spins due to their nontrivial topology8, making them robust against perturbations. This intrinsic stability, combined with their nanoscale size and controllability via external fields such as electric fields6,7,12,13,14, magnetic fields15, optical excitation16, acoustic waves17,18, and thermal gradients19, positions skyrmions as transformative elements for next-generation technologies, from nonvolatile memory to neuromorphic computing. However, the practical utility of skyrmions is challenged by universal obstacles transcending specific physical systems, including dynamic instability, unpredictable nonlinear response to external stimuli, and a critical lack of deterministic control.

These challenges have motivated the exploration of skyrmions in clean, controllable classical wave systems20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40, such as optical20, acoustic25 and water wave38 systems, where they can manifest in various vector fields like electric polarization20,21,22,23,24,26,30,32,33,34,36,40 and fluid velocity31,38. While these studies have significantly expanded the physical relevance of skyrmions, many realizations rely on static interference patterns from carefully tailored excitations and therefore lack the key attributes of intrinsic stability, transportability and flexible control, which are essential for practical applications. Recently, notable progress has been made. For instance, acoustic Archimedes metastructures have been proposed to generate localized skyrmions without tailored excitations28,29,35,39. Highly flexible optical retarder arrays now enable on-demand skyrmion generation40. Theoretically, novel frameworks extend skyrmion topology beyond conventional skyrmion-number descriptions, revealing mechanisms for both global and local topological protection36,37. Despite these advances, however, achieving all desired attributes—stability, transportability, and control—in a comprehensive manner remains an open challenge.

In this work, we introduce the skyrmion molecule lattice, a material-agnostic, symmetry-enforced platform, to unite all three virtues. The platform consists of a periodic array of bound skyrmion pairs with complementary polarizability, stabilized by lattice symmetry and enabling robust transport and deterministic control. As illustrated in Fig. 1, our approach leverages the interplay between lattice symmetry and anisotropic \(p\)-orbitals. By strategically arranging the orbitals within a graphene-like lattice, we generate a pair of vortices with opposite chirality at different sublattice sites. These vortices are intrinsically locked to the \(K\) and \(K^{{\prime} }\) valleys and symmetry-protected, forming a stable vortex molecule. Embedding this vortex molecule lattice into evanescent fields couples the out-of-plane vortex spin with the in-plane spin of the evanescent field, generating a full 3D spin vector field and thereby realizing the spin skyrmion molecule lattice. Crucially, these skyrmion molecules emerge as propagating eigenstates of the system, enabling robust transport with minimal scattering. Furthermore, we develop a boundary engineering technique that allows for the precise manipulation of these molecules—including their creation, deformation, annihilation, and polarizability inversion—by tuning sample boundaries in a linear and predictable manner.

Fig. 1: Schematic of the skyrmion molecule lattice.
Fig. 1: Schematic of the skyrmion molecule lattice.The alternative text for this image may have been generated using AI.
Full size image

The left panel (outlined by the dashed box) illustrates the key steps for its realization. Two orthogonal in-pane \(p\)-orbitals, \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\), serve as the basis to construct a graphene lattice. Each unit cell contains two sublattice sites. Enabled by graphene’s lattice symmetry, \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\) acquire a \({90}^{\circ}\) phase difference at the Dirac points, superposing into vortices. Due to the inversion symmetry, vortices at different sublattice sites carry opposite topological charges, locked together into a neutral, stable configuration termed a vortex molecule. When coupled to an evanescent field with in-plane spin angular momentum, vortex molecules evolve into skyrmion molecules composed of symmetry-locked skyrmion pairs with opposite skyrmion numbers (see the following section for mechanistic details). As eigenstates of the system, these molecules enable stable transport and flexible control over their creation, deformation, annihilation, and even polarizability inversion by fine-tuning the material boundaries, as depicted in the right panel.

Our symmetry-based approach establishes molecule lattices as a comprehensive platform for stabilizing, transporting and controlling skyrmions in a highly tunable setting. This approach is universal and is readily transferable to other symmetry groups, higher-order orbitals, and various physical domains like photonics, gravity waves, and electronic systems, where the unique properties of each system could further enhance the functionality of topological vector textures. Looking forward, integrating with active control mechanisms (e.g., electro-acoustic, electro-optical couplings), this platform could unlock real-time, on-chip skyrmion operations for ultrafast and reconfigurable spin-wave technologies.

Results

Realization of the skyrmion molecule lattice

As illustrated in Figs. 1 and 2a, we begin with two orthogonal in-plane \(p\)-orbitals \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\) as the basis, strategically arranging them to form a graphene-like lattice. This system is governed by transverse (\({t}_{T}\)) and longitudinal (\({t}_{L}\)) couplings, where \({t}_{T}\) is negligible compared to \({t}_{L}\) and set to \({t}_{T}=0\) without loss of generality. In momentum space, the Hamiltonian is given by

$$H\left({{{\bf{k}}}}\right)=\left[\begin{array}{cc}{0}_{2\times 2} & h\left({{{\bf{k}}}}\right)\\ {h}^{{{\dagger}} }\left({{{\bf{k}}}}\right) & {0}_{2\times 2}\end{array}\right],$$
(1)

with

$$h\left({{{\bf{k}}}}\right)={t}_{L}\left[\begin{array}{cc}\frac{3}{4}\left({e}^{i{{{\bf{k}}}}\cdot {{{{\bf{e}}}}}_{{{{\bf{2}}}}}}+{e}^{i{{{\bf{k}}}}\cdot {{{{\bf{e}}}}}_{{{{\bf{3}}}}}}\right) & \frac{\sqrt{3}}{4}\left({e}^{i{{{\bf{k}}}}\cdot {{{{\bf{e}}}}}_{{{{\bf{2}}}}}}-{e}^{i{{{\bf{k}}}}\cdot {{{{\bf{e}}}}}_{{{{\bf{3}}}}}}\right)\\ \frac{\sqrt{3}}{4}\left({e}^{i{{{\bf{k}}}}\cdot {{{{\bf{e}}}}}_{{{{\bf{2}}}}}}-{e}^{i{{{\bf{k}}}}\cdot {{{{\bf{e}}}}}_{{{{\bf{3}}}}}}\right) & \frac{1}{4}\left({e}^{i{{{\bf{k}}}}\cdot {{{{\bf{e}}}}}_{{{{\bf{2}}}}}}+{e}^{i{{{\bf{k}}}}\cdot {{{{\bf{e}}}}}_{{{{\bf{3}}}}}}\right)+{e}^{i{{{\bf{k}}}}\cdot {{{{\bf{e}}}}}_{{{{\bf{1}}}}}}\end{array}\right].$$
(2)

Here, \({{\dagger}}\) indicates the complex conjugate transpose. The lattice constant is taken as \(1\), \({{{\bf{k}}}}\left({k}_{x},{k}_{y}\right)\) denotes the wave vector, and \({{{{\bf{e}}}}}_{n}\) (\(n=1,\,2,\,3\)) is the lattice vector in the real space. \(H\left({{{\bf{k}}}}\right)\) corresponds to the eigenfunction \(\psi={\left({\phi }_{\alpha,{p}_{x}},{\phi }_{\alpha,{p}_{y}},{\phi }_{\beta,{p}_{x}},{\phi }_{\beta,{p}_{y}}\right)}^{T}\), where \({\phi }_{i,{p}_{j}}\) (\(i=\alpha,\beta\) and \(j=x,y\)) represents the \(\left|{p}_{j}\right\rangle\) orbital component on site \(i\). The strategic orbital arrangement induces distinct propagation phases for \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\), yielding a total wavefunction \(\Psi=\left|{p}_{x}\right\rangle+{e}^{i{{{\mathscr{D}}}}}\left|{p}_{y}\right\rangle\) at each site, where the phase difference \({{{\mathscr{D}}}}={{{\rm{arg}}}} \left({\frac{{\phi }_{i,{p}_{y}}}{{\phi }_{i,{p}_{x}}}}\right)\). Taking \({t}_{L}=1\), the band structure incorporating \({{{\mathscr{D}}}}\) is shown in Fig. 2b, which inherits the unique properties of the graphene lattice and features six Dirac points at the \(K\) and \(K^{{\prime} }\) points. At these points, \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\) acquire a \({90}^{\circ}\) phase difference, with \({{{\mathscr{D}}}}=\frac{\pi }{2}\) for site \(\beta\) and \(\frac{3\pi }{2}\) for \(\alpha\) at the \(K\) point, and reversed roles at the \({K}^{{\prime} }\) point due to the time-reversal symmetry. Correspondingly, the orthogonally overlapped \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\) are superposed, forming circular patterns that manifest as vortices. These vortices exhibit \(2\pi\) phase variation around their center, thereby carrying topological charges of \(\pm 1\). The corresponding wavefunctions are given by \({\Psi }_{\pm }=\left|{p}_{x}\right\rangle \pm i\left|{p}_{y}\right\rangle\). The right panel of Fig. 2b illustrates the phase distributions of \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\) for eigenstates at different Dirac points. At the \(K\) point, superposition of \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\) creates \({\Psi }_{-}\) at site \(\alpha\) and \({\Psi }_{+}\) at \(\beta\), which are coupled with each other and locked into even and odd vortex pairs, yielding \({{{{\rm{M}}}}}_{K,{{{\rm{even}}}}}=\left\{{\Psi }_{-},{\Psi }_{+}\right\}\) and \({{{{\rm{M}}}}}_{K,{{{\rm{odd}}}}}=\left\{{\Psi }_{-},{-\Psi }_{+}\right\}\). We designate each of these vortex pairs as a molecule. At the \({K}^{{\prime} }\) point, the vortex molecules are \({{{{\rm{M}}}}}_{{K}^{{\prime} },{{{\rm{even}}}}}=\left\{{\Psi }_{+},{\Psi }_{-}\right\}\) and \({{{{\rm{M}}}}}_{{K}^{{\prime} },{{{\rm{odd}}}}}=\left\{{\Psi }_{+},{-\Psi }_{-}\right\}\) (detailed derivations are provided in the Supplementary Note 1).

Fig. 2: Realization of the skyrmion molecule lattice.
Fig. 2: Realization of the skyrmion molecule lattice.The alternative text for this image may have been generated using AI.
Full size image

a Schematic of the \(p\)-orbital graphene lattice. b Energy bands incorporating \({{{\mathscr{D}}}}\) (the phase difference between \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\)) for sublattice sites \(\alpha\) (left) and \(\beta\) (middle). At the Dirac points, \({90}^{\circ}\) phase difference gives rise to vortices with topological charges of \(\pm 1\), yielding wavefunctions \({\Psi }_{\pm }=\left|{p}_{x}\right\rangle \pm i\left|{p}_{y}\right\rangle\). Enforced and stabilized by the inversion symmetry, these vortices couple with each other and lock into neutral molecules with even and odd parities. Right panel: Eigenstates of the vortex molecules at the \(K\) and \({K}^{{\prime} }\) Dirac points. c, An acoustic surface wave metamaterial implementing the lattice in a. Petaloid cavities are carefully etched on a steel surface to meet the graphene’s symmetry requirements while providing an evanescent field. An acrylic ceiling is placed above the steel surface to confine the surface wave propagation (see Methods for detailed geometric parameters and discussions on the acrylic ceiling). d Acoustic pressure field distributions of the two dipole resonant modes for each petal, serving as the \(\left|{p}_{x}\right\rangle\) and \(\left|{p}_{y}\right\rangle\) basis. e Band structure of the metamaterial, which hosts Dirac points at the \(K\) and \({K}^{{\prime} }\) points, matching the theoretical prediction in b. f Normalized spin angular momentum \(\hat{{{{\bf{s}}}}}={{{\bf{s}}}}/\left|{{{\bf{s}}}}\right|\) for eigenstates at the Dirac points (upper panels). Emergence of paired vortex-like spin textures with opposite polarizability reveals the skyrmion molecules. Their symmetry correlation with the underlying vortex molecules is confirmed by the pressure field amplitudes and phase distributions (lower panels).

It is noted that the graphene lattice possesses \({C}_{3v}\), inversion, and time-reversal symmetries at the \(K\) and \({K}^{{\prime} }\) points. Among these symmetries, it is fundamental that the inversion symmetry enforces the complementary vortex pairs (i.e., the vortex molecules), underscoring their symmetry protection and intrinsic stability. Meanwhile, the \({C}_{3v}\) point-group and time-reversal symmetries primarily govern the valley characteristics, enabling valley-locked robust transport and boundary-engineering-driven mode transition (which will be discussed in the following). This establishes inversion symmetry as the key prerequisite for the core symmetry-enforced pairing mechanism, a principle that extends beyond graphene lattice and applies universally across different crystalline point groups (see Supplementary Note 1).

An in-plane vortex corresponds to a phase singularity in a scalar field, whose spatial gradient induces a rotational vector structure, manifesting as an out-of-plane spin angular momentum41,42. To construct a full 3D spin vector field, however, an in-plane spin component is still required. We achieve this by exploiting the evanescent field, whose in-plane and out-of-plane vector components exhibit a \(\frac{\pi }{2}\) phase difference. This generates an additional rotation of the field, producing in-plane spin angular momentum43,44,45. By embedding the vortex molecule lattice into such an evanescent environment, the in-plane and out-of-plane spin components interact, resulting in a complete 3D spin vector field. Crucially, the spin vector field inherits the symmetries of the underlying lattice, forming vortex-like, stable spin texture pairs, namely, skyrmion molecules.

To implement the skyrmion molecule lattice, we design an acoustic surface wave metamaterial. As depicted in Fig. 2c, the metamaterial consists of open resonant cavities on a steel plate, forming a graphene-like lattice. Each sublattice site (\(\alpha\) or \(\beta\)) comprises four petaloid cavities hosting two degenerate orthogonal p-orbital-like dipole resonant modes, as illustrated by the pressure field distributions in Fig. 2d. These resonant modes form the basis of our design and couple to each other via spoof surface acoustic waves, which are precisely evanescent fields. Figure 2e presents the band structure for this material, featuring Dirac points at the \(K\) and \({K}^{{\prime} }\) valleys. To visualize the skyrmion molecules, we show in Fig. 2f (upper panels) the distributions of the acoustic spin angular momentum, \({{{\bf{s}}}}\), for the eigenstates at these points. Here, \({{{\bf{s}}}}\) describes the rotation of the velocity vector field \({{{\bf{v}}}}\), yielding46

$${{{\bf{s}}}}=\frac{\rho }{2\omega }{{{\rm{Im}}}}\left({{{{\bf{v}}}}}^{*}\times {{{\bf{v}}}}\right),$$
(3)

where \(\rho\) denotes the mass density and \(\omega\) the angular frequency. It is observed that each molecule indeed contains two spin textures with oppositely swirling configurations, consistent with the typical features of two Néel-type skyrmions \({{{{\rm{S}}}}}_{\pm }\) with skyrmion numbers \(\pm 1\) (see Supplementary Note 2 for calculations of the skyrmion numbers). Crucially, the skyrmion molecules strictly align with the symmetry constraints, with one-to-one correspondence to the symmetry-locked vortex molecules, adhering \({{{{\rm{S}}}}}_{+}\) to \({\Psi }_{+}\) and \({{{{\rm{S}}}}}_{-}\) to \({\Psi }_{-}\). This is confirmed by the lower panels of Fig. 2f. When examining the scalar features, i.e., the intensity and phase distributions of the pressure field, they directly map to the underlying vortex pairs with opposite chirality. This correlation further highlights the critical role of symmetries in forming and stabilizing skyrmion molecules.

Here, we emphasize that the skyrmion molecule emerge from the coupling of two full skyrmions that are well separate in the real space, with topological charges equal in magnitude but opposite in sign. This constitutes a novel spin texture with zero net skyrmion number, distinct from existing quasiparticle types such as bimerons47 skyrmioniums48,49, or higher-order quasiparticles32,50. This charge-neutral, topologically compensated state is especially attractive for device applications, as it suppresses the skyrmion Hall effect, preventing unwanted transverse drift51.

Observation of robust transport of the skyrmion molecules

Benefiting from our graphene-inspired periodic lattice design, the skyrmion molecules emerge as propagating eigenstates, carrying non-zero group velocity for stable transport. To demonstrate this, we employ boundary engineering, a technique that modulates the material boundaries to select eigenstates satisfying specific boundary conditions, analogous to an infinite potential well52. This method, previously used to generate defect-immune bulk states53,54, is uniquely applied here to isolate and control the even and odd skyrmion molecules. These modes exhibit distinct parities and thus match to different boundary conditions. Figure 3a shows a fabricated waveguide bounded by hard walls along the y-direction and open along the x-direction (the transport direction). This type of waveguide is commonly used in practice. The hard boundaries enforce zero normal velocity, i.e., \(\left|{v}_{y}\right|=0\), permitting only the even skyrmion molecule that satisfies this condition, as illustrated by the velocity field distributions in the right panel of Fig. 3a. The odd mode, on the other hand, incompatible with the boundary condition, is excluded. Experimental validation is provided in Fig. 3b by the measured band structure for this waveguide, featuring only the even band (see Methods for the experimental set-up and measurement details).

Fig. 3: Observation of robust transport of the skyrmion molecules.
Fig. 3: Observation of robust transport of the skyrmion molecules.The alternative text for this image may have been generated using AI.
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a Left: Fabricated waveguide, open along the x-direction and bounded by hard boundaries along the y-direction, enforcing zero normal velocity (\(\left|{v}_{y}\right|=0\)). Right: Simulated \(\left|{v}_{y}\right|\) for the even and odd skyrmion molecules. The hard boundary condition admits the even molecule while suppressing the odd one. b Numerically calculated (circles) and experimentally measured (colormap) band structures of the waveguide, validating the boundary selection for the even molecule. c Measured spin vector field \(\hat{{{{\bf{s}}}}}={{{\bf{s}}}}/\left|{{{\bf{s}}}}\right|\) (the measurement region is marked by the yellow box in a). Regular, uniform field patterns reveal stable skyrmion molecule transport, matching the simulated eigenstate. d Left to right: Measured pressure amplitude \(\left|P\right|\), phase \({\mbox{Arg}}\left(P\right)\), and the Fourier spectrum. These results align with both the theoretical and numerical predictions in Fig. 2, highlighting the intrinsic correlation between the skyrmion and vortex molecule lattices and their symmetry-protected valley-locking.

To observe the transport of the even skyrmion molecule, we launch an excitation from the left port of the waveguide at 3.265 kHz (corresponding to the \({K}^{{\prime} }\) valley). The measured spin vector field (Fig. 3c) reveals stable, uniform \({{{{\rm{M}}}}}_{{K}^{{\prime} },{{{\rm{even}}}}}\) skyrmion molecules, consistent with both the theory and simulations. Their scalar features are also experimentally confirmed, as shown in Fig. 3d, where paired vortices with chirality \(\left\{+1,-1\right\}\) are precisely observed. For further evidence, we conduct Fourier analysis on the measured pressure field (see Fig. 3d, right panel), which unambiguously demonstrates \({K}^{{\prime} }\) valley-locking of the molecules—a hallmark of lattice symmetry protection ensuring robust and stable transport (refer to Supplementary Movies 1 and 2 for time-dependent dynamics and Supplementary Note 3 for more discussions on valley-locking and robustness).

Notably, the boundary engineering technique decouples the molecule transport from the waveguide width (along the y-direction), enabling arbitrary scaling without redesigning the guiding potential (see more details in Supplementary Note 4). This scalability, combined with eigenstate-selective control, establishes a platform for flexible and precise skyrmion manipulation.

Deterministic manipulation of the skyrmion molecules

The boundary engineering method enables selection of eigenstates that match specific boundary conditions. By dynamically tuning these conditions, we can manipulate the skyrmion molecules. In our system, the \(p\)-orbital resonant modes and their coupling via the evanescent field depend on the petaloid cavities. Adjusting their geometry can modify the boundary condition (see Supplementary Note 5 for more details). Experimentally, we deploy the dynamic modulation by injecting measured amounts of silicone oil into the boundary cavities, as illustrated in Fig. 4a. This changes the cavity depths, leading to a smooth and quantitative control over the skyrmion dynamics. Figure 4b tracks the band structure evolution under such boundary modulation, quantified by the cavity depth change \(\delta h\). As \(\delta h\) increases, the even skyrmion molecules deform, detach from \(K\) and \(K^{{\prime} }\) valley-locking, and annihilate. At \(\delta h=1.2\) mm, the odd skyrmion molecules emerge with reversed polarizability, as the adjusted boundary condition exclusively selects this eigenstate (see Supplementary Note 5 for more details). Such boundary-engineering-driven mode transition is experimentally validated by the measured band structures in Fig. 4b (colormaps).

Fig. 4: Deterministic skyrmion molecule manipulation via boundary engineering.
Fig. 4: Deterministic skyrmion molecule manipulation via boundary engineering.The alternative text for this image may have been generated using AI.
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a Boundary modulation by injecting measured amounts of silicone oil into the boundary cavities, tuning their depth. b Band structure evolution under cavity depth change \(\delta h\). As \(\delta h\) increases, the even band shifts toward high frequencies, detaching from the Dirac points and causing deformation and annihilation of the even skyrmion molecules. Concurrently, the odd band emerges and intersects the Dirac points at \(\delta h=1.2\) mm, signaling the odd skyrmion molecules. c, d Measurements analogous to Fig. 3c, d, but with boundary cavities modulated by \(\delta h=1.2\) mm. Observation of skyrmion molecules \(\left\{{{{{\rm{S}}}}}_{-},{{{{\rm{S}}}}}_{+}\right\}\) and their vortex-like scalar features reveals polarizability inversion relative to the even molecules, validating the boundary engineering control. The Fourier spectrum retains valley-locking, affirming symmetry-protected robustness under boundary engineering.

To corroborate the band structure observation, we further measure the spin vector and scalar pressure fields under the excitation from the left port of the waveguide at 3.265 kHz (see Fig. 4c, d). Again, stable, uniform molecule lattice configurations are observed. Compared to the even mode in Fig. 3c, d, the spin textures here exhibit reversed polarizability and the vortex pairs display inverted phase winding, matching the \({{{{\rm{M}}}}}_{K,{{{\rm{odd}}}}}\) molecule. Like its even counterpart, the odd molecule is also valley-locked, maintaining stability and robustness during propagation, as confirmed by the Fourier analysis (the right panel of Fig. 4d) and the time-dependent transport dynamics (Supplementary Movies 3 and 4). Our boundary engineering technique achieves deterministic control over skyrmion molecules, including their creation, deformation, annihilation and polarizability inversion, with high precision and flexible controllability. Integrating this approach with electro-acoustic or electro-optical couplings could potentially unlock real-time, on-chip skyrmion operations in ultrafast and adaptive spin-wave technologies.

Molecule decomposition

The skyrmion molecules comprise symmetry-locked skyrmion pairs with opposite polarizability, yielding a net topological charge of zero. Despite this neutrality, symmetry protection guarantees that the stable configuration preserves the topological quantization characteristic of individual skyrmions as quasiparticles. To unveil their quasiparticle nature, we superpose the two ground eigenstates of the system, i.e., the even and odd molecules. This decouples the vortex (and therefore the skyrmion) pairs, isolating their properties at each sublattice, as

$${{{{\rm{M}}}}}_{K,{{{\rm{even}}}}}+{{{{\rm{M}}}}}_{K,\,{{{\rm{odd}}}}}\to \left\{{\Psi }_{-},0\right\},\quad {{{{\rm{M}}}}}_{K,{{{\rm{even}}}}}-{{{{\rm{M}}}}}_{K,\,{{{\rm{odd}}}}}\to \left\{0,{\Psi }_{\,+}\right\},$$
(4a)

for the \(K\) valley, and

$${{{{\rm{M}}}}}_{{K}^{{\prime} },\,{{{\rm{even}}}}}+{{{{\rm{M}}}}}_{{K}^{{\prime} },\,{{{\rm{odd}}}}}\to \left\{{\Psi }_{+},0\right\},\quad {{{{\rm{M}}}}}_{{K}^{{\prime} },{{{\rm{even}}}}}-{{{{\rm{M}}}}}_{{K}^{{\prime} },\,{{{\rm{odd}}}}}\to \left\{0,{\Psi }_{-}\right\},$$
(4b)

for the \({K}^{{\prime} }\) valley.

Figure 5a illustrates the superposition at the \(K\) valley using the experimental data in Figs. 3d and 4d. Here, \({{{{\rm{M}}}}}_{K,{{{\rm{even}}}}}\) is derived by applying the time-reversal operator \({{{\mathscr{T}}}}\) to \({{{{\rm{M}}}}}_{{K}^{{\prime} },\,{{{\rm{even}}}}}\), following \({{{{\rm{M}}}}}_{K,\,{{{\rm{even}}}}}={{{\mathscr{T}}}}{{{{\rm{M}}}}}_{{K}^{{\prime} },{{{\rm{even}}}}}\). The results show that the sublattice\(\,\alpha\) accommodates vortices with topological charge \(-1\) while \(\beta\) harbors those with \(+1\), consistent with Eq. (4a). Correspondingly, the skyrmion molecules decompose into individual skyrmions, as shown in Fig. 5b. We further calculate their skyrmion numbers \({n}_{{sk}}\) using

$${n}_{{sk}}=\frac{1}{4\pi }\iint \hat{{{{\bf{s}}}}}\cdot \left(\frac{\partial \hat{{{{\bf{s}}}}}}{\partial x}\times \frac{\partial \hat{{{{\bf{s}}}}}}{\partial y}\right){dx}\, {dy},$$
(5)

where \(\hat{{{{\bf{s}}}}}={{{\bf{s}}}}/\left|{{{\bf{s}}}}\right|\) is the normalized spin vector. Experimental data yield \({n}_{{sk}}=-0.915\) at \(\alpha\) and \({n}_{{sk}}=0.899\) at \(\beta\), agreed with the theoretical prediction \(\mp 1\) within experimental error (see Methods for error analysis). Superposition at the \({K}^{{\prime} }\) valley is presented in Fig. 5c, d. Due to the time-reversal symmetry, the vortices exhibit exactly reversed chirality compared to the \(K\) valley. Concurrently, the skyrmion numbers are inverted, with \({n}_{{sk}}=0.915\) at \(\alpha\) and \({n}_{{sk}}=-0.899\) at \(\beta\). These numbers confirm the topological quantization of the skyrmions, revealing their quasiparticle nature and demonstrating the effectiveness of using molecules to stabilize, transport and manipulate skyrmions.

Fig. 5: Molecule decomposition into individual skyrmion quasiparticles.
Fig. 5: Molecule decomposition into individual skyrmion quasiparticles.The alternative text for this image may have been generated using AI.
Full size image

a, b Superposition of the even and odd molecules at the \(K\) valley. For the scalar pressure field superposition in a, experimental data in Figs. 3d and 4d are used, while for the spin vector field superposition in b, the data in Figs. 3c and 4c are used. The results demonstrate the decoupling of the vortex/skyrmion pairs, with their individual topological properties isolated at different sublattices. This is corroborated by the quantized skyrmion numbers \({n}_{{sk}}\) and the stereographic projections of the spin vector field (within the dashed circular regions). c, d The same as a, b, but for the \({K}^{{\prime} }\)-valley decomposition. Parallel analysis reveals time-reversed configurations.

Discussion

We have demonstrated a skyrmion molecule lattice that enables stable transport and precise manipulation, directly addressing critical challenges in skyrmion control. Our method exploits the interactions between anisotropic \(p\)-orbitals and Bloch momentum in a designed graphene lattice. The lattice symmetry enforces molecule configurations, which effectively stabilize skyrmions while preserving their topological quasiparticle nature. Compared to existing interference methods relying on tailored excitations, the skyrmion molecules in our system emerge as propagating eigenstates with nonzero group velocity, making them inherently compatible with on-chip integration. More crucially, our boundary engineering technique achieves skyrmion creation, deformation, annihilation, and polarizability inversion. Unlike the nonlinear response of magnetic skyrmions to external fields, our skyrmion molecules have linear dependence on the boundary potential which can be accurately controlled by modulating the boundary condition (see Supplementary Note 5).

Our method for stabilizing, transporting and controlling skyrmions is universal. In terms of lattice symmetry, it can be generalized to other types of point groups or nonsymmorphic symmetries, opening pathways to novel effects like skyrmion Hall effects and non-Abelian skyrmion physics. The orbital basis can also be expanded from \(p\) to \(d\), \(f\), or \(g\)-orbitals, enabling more sophisticated higher-order spin textures. Furthermore, by leveraging advanced theoretical tools accounting for both global and local topological protection of generalized skyrmions36,37, richer classes of topological textures can be revealed, not only in various periodic lattices, but also in systems with engineered defects where symmetry, boundary conditions, and singularities might jointly shape the topology.

With the merits of precision and flexibility, the boundary engineering technique can be integrated with active controls such as electro-acoustics, electro-mechanics, or electro-optics, potentially unlocking real-time skyrmion operations in ultrafast and reconfigurable spin-wave technologies. In addition, our method leverages the interaction between vortex lattices and evanescent fields, highlighting the synergy of orbital and spin angular momenta as a scalar-vector duality, which can be important in high-capacity communications, wave-matter interactions, and sensing technologies (see Supplementary Note 6 for an example of using skyrmion molecules to detect the displacement of a small particle, experimentally demonstrating the ability to achieve deep-subwavelength resolution).

Methods

Acoustic cavity and lattice design

Supplementary Fig. S14a and Fig. 2c show the details of the designed acoustic open resonant cavity. The cavity has a radius of \(r=1.5\) cm and a depth of \({h}_{c}=2.2\) cm. The block plates divide the cavity into four sections, with a width of \(w=1.5\) mm, while the circular chamfer has a radius of \({r}_{c}=1.5\) mm. A series of resonant modes within this cavity are identified, as shown in Supplementary Fig. S14b. These modes, including those presented in Fig. 2d, are numerically calculated using the 3D acoustic module of the commercial finite-element software COMSOL Multiphysics under eigenfrequency evaluations. The mass density and sound velocity of air are taken as 1.225 kg/m3 and 341.7 m/s1, respectively.

The acoustic lattice, shown in Fig. 2c, is designed with a lattice constant of \(a=3.8\sqrt{3}\) cm. A shallower cavity is chosen to achieve a broader bandwidth for the \(p\)-orbital bands, yet most of them are positioned outside the bound region (i.e., above the sound line) (see Supplementary Note 7). To prevent radiation losses, a narrow propagation channel is constructed between the acrylic ceiling and the steel plate (Fig. 2c), with a channel height of \({h}_{a}=1.6\) cm. This design primarily expands the operational bandwidth while maintaining the evanescent wave field, where intensity decays along the out-of-plane direction.

Band structure calculations and measurements

For the acoustic lattice in Fig. 2c, we numerically compute its band structure (Fig. 2e) using COMSOL’s 3D acoustic module under eigenfrequency evaluations, considering a single unit cell. Additionally, we calculate the projected band along the \(x\)-direction for the finite lattice in Fig. 3a, which has hard boundaries at both ends along the \(y\)-direction and periodic boundaries along the \(x\)-direction. The results are shown in Fig. 3b. When the depths of the boundary cavities are modified (Fig. 4a), the corresponding projected band structures are presented in Fig. 4b.

Experimentally, the sample is fabricated using metal processing and has a length of 12\(a\). Two 3D-printed photosensitive resin blocks serve the acoustically hard boundary at both ends of the \(y\)-direction (Fig. 3a). The boundary cavity depths are modified by introducing moderate amounts of silicone oil (Fig. 4a), where a depth variation of \(\delta h=1.2\) mm corresponds to 185 μL of silicone oil in each petaloid-shaped small cavity. An acoustic loudspeaker array at the sample’s left end excites forward-propagating waves to measure the band structures. For achieving high signal-to-noise ratio measurements, we configure the loudspeaker array to generate even and odd sources, which efficiently stimulate the acoustic fields of even and odd molecule lattices, respectively. A homemade acoustic sensor then scans the middle line (along the \(x\)-direction) of the finite sample in discrete steps of \(a\). Data acquisition is performed using a DAQ card (NI 9250 and NI 9234). The collected real-space data are transformed into momentum-space band structures via Fourier transform, with zero-padding employed to enhance resolution. Under different boundary conditions, the measured band structures are presented as color maps in Figs. 3b and 4b.

Acoustic pressure, velocity and spin field measurements

Under excitation by the speaker array at 3.265 kHz, we measure the acoustic velocity and pressure fields using a homemade three-dimensional acoustic particle velocity sensor. This sensor scans the designated region of the finite sample (indicated by the yellow box in Fig. 3a) in 2 mm increments, recording the velocity components \({{{\bf{v}}}}\left({v}_{x},{v}_{y},{v}_{z}\right)\) and the acoustic pressure \(P\) (for details, see Supplementary Note 8). The measured acoustic velocity and pressure fields are normalized, and the velocity fields are substituted into Eq. (3) to calculate the spin fields \({{{\bf{s}}}}\), which is further normalized as \(\hat{{{{\bf{s}}}}}={{{\bf{s}}}}/\left|{{{\bf{s}}}}\right|\). The resulting spin fields \(\hat{{{{\bf{s}}}}}\) are plotted in Fig. 3c for the even mode and Fig. 4c for the odd mode, respectively. The corresponding acoustic pressure distributions are shown in Fig. 3d (even mode) and Fig. 4d (odd mode). The measured acoustic pressure fields are subsequently processed via a two-dimensional Fourier transform to yield the intensity distributions in reciprocal space, illustrated in the right panels of Figs. 3d and 4d. By adding a time-dependent factor \({e}^{i\omega t}\) into both the acoustic pressure and velocity fields, wave dynamics are visualized in Supplementary Movies 1, 2 (even mode) and 3, 4 (odd mode).

Superpositions of even and odd molecules

Vortex and skyrmion molecules can be decomposed into individual vortices and skyrmions through superpositions, enabling observation of their quantized topological properties. Using the measured acoustic pressure data for the even mode \({P}_{{{{\rm{even}}}}}\) (Fig. 3d) and the odd mode \({P}_{{{{\rm{odd}}}}}\) (Fig. 4d), we obtain the superpositions at the \(K\) and \({K}^{{\prime} }\) valleys as

$${P}_{K,\pm }={P}_{{{{\rm{even}}}}}^{*}\pm {P}_{{{{\rm{odd}}}}},\quad {\,P}_{{K}^{{\prime} },\pm }={P}_{{{{\rm{even}}}}}\pm {P}_{{{{\rm{odd}}}}}^{*}.$$
(M1)

The resulting superposed acoustic pressure fields \({P}_{K,\pm }\) and \({{P}}_{{K}^{{\prime} },\pm }\) are shown in Figs. 5a and 5c, respectively. Similarly, the velocity fields are obtained by superposing the measured velocity fields of even mode \({{{{\bf{v}}}}}_{{{{\rm{even}}}}}\) and odd mode \({{{{\bf{v}}}}}_{{{{\rm{odd}}}}}\) as

$${{{{\bf{v}}}}}_{K,\pm }={{{{\bf{v}}}}}_{{{{\rm{even}}}}}^{*}\pm {{{{\bf{v}}}}}_{{{{\rm{odd}}}}},\quad {{{{\bf{v}}}}}_{{K}^{{\prime} },\pm }={{{{\bf{v}}}}}_{{{{\rm{even}}}}}\pm {{{{\bf{v}}}}}_{{{{\rm{odd}}}}}^{*}.$$
(M2)

By substituting \({{{{\bf{v}}}}}_{K,\pm }\) and \({{{{\bf{v}}}}}_{{K}^{{\prime} },\pm }\) into Eq. (3), the spin fields are derived, normalized by \(\hat{{{{\bf{s}}}}}={{{\bf{s}}}}/\left|{{{\bf{s}}}}\right|\), and shown in Fig. 5b, d. Skyrmion numbers are then computed using Eq. (5), with the integration domain denoted by the dashed circles. The results align with the ideal skyrmion number of \(\pm 1\), with only minor discrepancies attributed to experimental errors (see more details in Supplementary Note 9).