Abstract
While parity transformation represents a fundamental symmetry operation in physics, its implications remain underexplored in metamaterial science. Here, we introduce a framework leveraging parity transformation to construct parity-inverted counterparts of arbitrary 3-dimensional meta-atoms, enabling the creation of parity-engineered metamaterial slabs. We demonstrate that the synergy between reciprocity and parity transformation, distinct from mirror operation, guarantees undistorted wave transmission across exceptional bandwidths, independent of structural configuration or meta-atom design specifics. Furthermore, these metamaterials exhibit dynamic acoustic mimicry capability, enabling adaptive blending of reflected signatures into surrounding environments while preserving transmitted wavefront integrity. Validated through numerical simulations and experimental prototypes, this breakthrough offers transformative potential for acoustic camouflage applications, particularly for sonar systems. Our findings reveal fundamental implications of parity transformation in artificial materials, establishing parity engineering as a paradigm for designing ultrabroadband functional materials with unprecedented operational versatility.
Introduction
Parity transformation, the symmetry operation [1] involving a change of the sign in all spatial coordinates, i.e., , has many profound impacts in physics. Applying parity transformation to an arbitrary object creates its unique counterpart as a rotation of its mirror image with reversed chirality, as exemplified by a hand and its image in the mirror in Fig. 1A and B. Recently, parity–time (PT) symmetry [2–5] has been exploited to reveal the existence of exceptional points [6–11], opening a promising field of non-Hermitian physics [12]. However, to date, there has been little discussion on the possibility of applying parity transformation alone in acoustic metamaterials [13–20] and metasurfaces [21,22], which have markedly broadened the boundaries of acoustic materials [23–42] and enabled novel functions such as acoustic cloaks and illusions [23,24,29,42] over the past decades.
Fig. 1.

A parity metamaterial composed of a meta-atom and its parity-inverted counterpart. (A and B) The hand, its mirror image, and its parity-inverted counterpart. The mirror image and the parity-inverted counterpart are related by a 180° rotation along the x axis. (C) The 3D meta-atom and its parity-inverted counterpart design related by parity transformation. (D) The concept of acoustic mimicry to imitate different terrains, including a flat terrain, a rugged terrain, and a periodic terrain, like an octopus. (E) The illustration of a parity metamaterial based on a random distribution of P1 and P2. Bottom right inset provides a magnified picture of the inner rotor. (F to H) Reciprocity and parity transformation rigorously prove that the meta-atom and its parity-inverted counterpart have the same transmission but different reflection coefficients.
Sonar domes are widely used in air and underwater environments to house and protect sonars [43,44]. To ensure accurate signal acquisition, they are typically made of effectively homogeneous materials that support broadband undistorted transmission. However, this uniformity also retains the reflection signature of the protected sonars, making it impossible to acoustically blend into surrounding environments. On the other hand, conventional digital coding metasurfaces [45–52] can alter the reflection signature, but they typically block or disrupt transmission signals, thereby disabling the functionality of the sonar. Overall, it is highly desirable to achieve dynamic acoustic camouflages [42] in reflection while keeping the sonar function intact in an ultrabroad spectrum. This requires the combination of effective homogeneity and inhomogeneity in a single material, which has been seldomly discussed.
In this work, we apply parity transformation to design a class of acoustic metamaterials denoted parity metamaterials. Parity transformation relates an arbitrary 3-dimensional (3D) meta-atom with its unique parity-inverted counterpart. They constitute a pair of building blocks (Fig. 1C) for a special metamaterial slab called parity metamaterial (Fig. 1E), which can keep transmission wavefront undistorted in an extremely broad spectrum, while dynamically tuning the wavefront in reflection to mimic those from a periodic terrain, a rugged terrain, and a flat terrain, etc. These metamaterials thus enable dynamic acoustic mimicry (Text S1 and Fig. S1) to blend into the acoustic environment. At the same time, ultrabroadband undistorted transmission is guaranteed irrespective of the dynamical mimicry, which is extremely important for sonar detection. Therefore, this metamaterial offers a way to realize dynamic acoustic camouflage for advanced sonar systems, just like octopuses that can adapt their color and form to blend into their surroundings while still perceiving the environment (Fig. 1D). Our theory unveils the principle of parity engineering in metamaterials and metasurfaces, promising a profound impact in multiple disciplines.
Results
Theory and design of parity metamaterials
We consider an arbitrary 3D meta-atom and its parity-inverted counterpart, as denoted by P1 and P2, respectively. To accord with the working wavelength, the basic units of the metamaterial are composed of an array of meta-atoms P1 or P2, as depicted in Fig. 1C. The adjacent basic units are separated by hard boundaries to minimize the coupling between them. The length and thickness of the array are specified as and , respectively. To achieve dynamic tunability of the parity metamaterials, we designed the meta-atom and its parity-inverted counterpart to be rotatable. The magnified view of the inner rotor is displayed in the bottom-right inset of Fig. 1E. The curved plate can be rotated to tune the reflection phase, and the connection to the shaft is set to be asymmetric to remove all symmetry in the metastructure. The detailed parameters of the meta-atom can be found in Text S2 and Fig. S2. Figure 1E depicts the schematic diagram of the parity metamaterial slab composed of a selected arrangement of the meta-atom and its parity-inverted counterpart, which can tune the reflection while keeping transmission unaffected, if the system is reciprocal.
The underlying physical principle is described as follows. We first consider the scattering properties of this pair of metastructures (P1 and P2), assuming that the transmission and reflection coefficients of P1 in Fig. 1F are denoted as t and r, respectively. When the system is reciprocal, the reciprocity theorem [53–55] asserts that the exchange of the incidence and transmission channels does not change the transmission coefficient, i.e., , as shown in Fig. 1G. On the contrary, the reflection coefficient can differ markedly after the interchange, i.e., . Subsequently, we apply a parity operation to the system, as shown in Fig. 1H. P1 is transformed into its counterpart, i.e., P2, which has the same transmission coefficient as P1, i.e., . This equivalence is regardless of the details of the metastructures, as well as the frequency and the incident angle. In reflection, contrarily, we have ; thus, there is a phase difference between r′ and r over a wide spectrum, which can modulate the reflection from this metamaterial. Moreover, the phenomena here can also be explained by a theory based on the transfer matrix method in stratified media (Text S3 and Fig. S3).
Ultrabroadband and wide-angle undistorted transmission
In the following, we present the transmission and reflection properties of P1 and P2. Figure 2A and B illustrates, respectively, the calculated transmittance and transmission phase, as well as the reflectance and reflection phase of P1 and P2, as functions of the frequency. The direction of the incident wave is along the z direction. Here, acoustic dissipation is neglected for simplicity, but this principle also applies to general dissipated systems. From Fig. 2A, it is seen that the transmittance and transmission phase of P1 and P2 are identical over an ultrabroad spectrum ranging from 0.1 to 7 kHz (Text S4 and Fig. S4). The reflectance is also the same, but there is a substantial difference in the reflection phase, as depicted in Fig. 2B. In particular, the phase difference, Δφr, reaches the maximum value of 180° at a frequency of 5.68 kHz (denoted by a gray vertical line). By rotating P1 and P2 simultaneously, the phase difference in reflection can be conveniently tuned. Figure 2C illustrates the reflection phase difference between P1 and P2, i.e., , as a function of the rotation angle of the rotor and frequency, which covers the whole range of 360° around 5.68 kHz. The black dashed line represents the condition of . We emphasize that rotation does not change the condition of equal transmittance and over the whole spectrum from 0.1 to 7 kHz (Text S5 and Fig. S5). This condition guarantees that the transmitted acoustic wavefront is the same as that of the incidence in an ultrabroad spectrum, independent of the arrangement of P1 and P2.
Fig. 2.

Transmission and reflection properties of P1 and P2. (A) Transmittance and transmission phase spectra of P1 and P2. (B) Reflectance and reflection phase spectra of P1 and P2. (C) Reflection phase difference between P1 and P2 as a function of the rotation angle and frequency. (D) Simulated 3D far-field radiation power patterns in transmission under normal incidence at 2, 4, and 6 kHz. (E) Simulated 3D far-field radiation power patterns in transmission under incident angles of 10°, 30°, and 50° at 4 kHz. Each subpanel in (D) and (E) is normalized. (F to G) Simulated near-field distributions of the transmitted acoustic field in the yz plane. Here, the colors indicate the normalized pressure of the acoustic field. a.u., arbitrary units.
To demonstrate this unique feature, we consider a parity metamaterial composed of randomly distributed P1 and P2 illuminated by an incident plane wave of different frequencies and incident angles. The arrangement of P1 and P2 is shown in the bottom-left inset of Fig. 1E. By using finite-element software COMSOL Multiphysics, the 3D far-field radiation power patterns in transmission are calculated under normal incidence at 2, 4, and 6 kHz, as shown in Fig. 2D. The direction of transmission (Pt) is the same as that of the incidence (Pi) for all frequencies. In Fig. 2E, we plot the 3D far-field radiation power patterns in transmission for incident angles of 10°, 30°, and 50° at 4 kHz. It is observed that the direction of transmission (Pt) aligns consistently with the direction of incidence (Pi) for all angles. These effects are further verified by the calculated near-field distributions, as shown in Fig. 2F and G, respectively. In other words, such a disordered metamaterial functions like an ordered metamaterial in transmission, ensuring its feasibility in important applications such as acoustic detection and sonar technology [43,44,56].
Parity transformation versus mirror operation
To elucidate the essential role of parity transformation, we compare it with the mirror operation, i.e., upside-down flip, namely, . When the metastructure exhibits a symmetry in the xy plane, there is no difference between and [57,58]. However, the difference becomes huge when the metastructure has no symmetry, which is the case here. Figure 3A depicts the schematic diagrams of P1, P2, and the structure generated by mirror operation, Mz, respectively. It is seen that Mz is different from P2. In Fig. 3B and C, we plot the transmittance and transmission phase spectra of P1, P2, and Mz under the illumination of an incident angle of 30°, respectively, as shown by the green arrow in Fig. 3A. P1 and P2 have the same transmittance and transmission phase, as strictly protected by reciprocity and parity transformation. However, Mz and P1 exhibit distinctly different transmission phase around 6.9 kHz. A comprehensive discussion is available in Text S6 and Fig. S6. The wide-angle transmission behaviors of P1, P2, and Mz are shown in Text S7 and Fig. S7.
Fig. 3.

Comparison between parity transformation and mirror operation. (A) Schematic diagrams of P1, P2, and Mz. Mz is the mirror image of P1 along the z direction. (B and C) Transmittance and transmission phase spectra of P1, P2, and Mz under the illumination of an incident angle of 30°. (D and H) Metamaterial design for cases I and II, respectively. (E and I) Simulated 3D far-field radiation power patterns in transmission for cases I and II, respectively. (F, J, G, and K) Simulated (F and J) and measured (G and K) near-field distributions of the transmitted field for case I (F and G) and case II (J and K) in the yz plane.
Such a fundamental difference between parity transformation and mirror operation is further experimentally verified. We construct 2 metamaterials with the sequences P1P2P1P2P1P2 (case I) and P1MzP1MzP1Mz (case II), as illustrated in Fig. 3D and H, respectively. The simulated 3D far-field radiation power patterns in transmission for cases I and II under an incident angle of 30° at 6.9 kHz are shown in Fig. 3E and I, respectively. The transmitted wave (Pt) is undistorted in Fig. 3E but disrupted in Fig. 3I. Such a distinct difference originates in the transmission phase difference between P1 (P2) and Mz, which reaches 87° at 6.9 kHz (denoted by a gray vertical dotted line in Fig. 3C). This huge difference is also observed in the calculated and measured near-field distributions for cases I and II, as shown in Fig. 3F, G, J, and K, respectively. The measured regions are marked by the blue dotted boxes in the yz plane, as shown in Fig. 3F and J. The experimental and numerical results approximately agree with each other, both confirming that it is the parity transformation instead of the mirror operation that can preserve the transmission wavefront.
Dynamic acoustic mimicry
In the following, we numerically and experimentally demonstrate the realization of dynamic acoustic mimicry. By rotating the rotors of the designed parity metamaterial, it is possible to alter the reflection to emulate that from a periodic terrain, a rugged terrain, and a flat terrain, while keeping the transmission wavefront undistorted (Text S8 and Fig. S8). The insets of Fig. 4A portray the magnified views of the inner rotors of P1 and P2, wherein the rotors of both P1 and P2 are simultaneously rotated by the same angle, such that P1 and P2 can always be transformed into each other via parity transformation. Consequently, P1 and P2 always have identical transmittance (Fig. S9) and transmission phase (Fig. 4A), regardless of the rotation angle. On the other hand, the reflection phase difference between P1 and P2 varies markedly with the rotation angle. Figure 4A depicts the calculated reflection phase of P1 and P2, as well as their difference as functions of the rotation angle θ under normal incidence at a working frequency of 5.68 kHz. The reflection phase difference varies from −180° to 180°, while the transmission phase difference remains . This indicates that the rotation angle θ offers a freedom to dynamically tune the reflection without changing the transmission wavefront.
Fig. 4.

Dynamic acoustic mimicry using a parity metamaterial. (A) Reflection phase spectra of P1 and P2 and their difference in reflection and transmission as functions of the rotation angle θ at 5.68 kHz. Insets show the magnified views of the inner rotors of P1 and P2. (B and C) Simulated 3D far-field radiation power patterns under normal incidence at 5.68 kHz for and , respectively. (D and E) Simulated corresponding near-field distributions in the yz plane. (F to I) Measured acoustic field distributions of transmitted (F and H) and reflected (G and I) waves under normal incidence at 5.68 kHz when (F and G) and (H and I).
Here, we demonstrate the switching of reflection from 2-beam reflection to specular reflection, while maintaining undistorted transmission all the time. The parity metamaterial is the same as that shown in Fig. 3D. Figure 4B and C shows the simulated 3D far-field radiation power patterns under normal incidence at 5.68 kHz for and (denoted by gray vertical dotted lines in Fig. 4A), respectively. The direction of transmission (Pt) is the same as that of the incidence (Pi) for both cases. On the other hand, the reflection changes from the case of splitting into 2 beams (for ) to the case of specular reflection (). This is because Δφr changes from 180° to 0° when θ changes from 0° to 73°. The switching phenomenon is further verified by simulated and measured near-field distributions, which are shown in Fig. 4D to I, respectively. The scanned areas correspond to the blue dotted boxes in Fig. 4D and E. The measured results coincide excellently with the numerical results, confirming that the transmitted wave (Pt) maintains a plane wavefront for the 2 cases. For reflection, the angle of reflection is (Text S9) at a rotation angle of , as shown by the green arrows in Fig. 4D. The quantitative analysis of the transmission and reflection behaviors is shown in Text S10 and Fig. S11. In addition, the case for is shown in Text S8 and Fig. S10, displaying the simultaneous existence of 3-beam reflection and undistorted transmission. Therefore, dynamic acoustic mimicry can be realized using the rotation angle θ as an extra degree of freedom in the metastructure design.
We also demonstrated the cases of diffuse reflection and reflection holography (Texts S11 and S12 and Figs. S12 and S13). The results again confirm the conclusion: The acoustic reflection signatures can be freely altered to mimic the sophisticated acoustic environment, while keeping the transmitted wavefront unchanged in an ultrabroad spectrum, which is crucial for sonar. This functionality cannot be achieved by conventional digital coding metasurfaces [45–52] (Text S13 and Fig. S14).
Temporal acoustic camouflage
The integration of parity metamaterials with sonar systems offers the potential for temporal camouflage. This effect is vividly demonstrated by comparing the reflection signals of a Gaussian pulse incident on a sonar, both without and with a parity metamaterial. The pulse is a time-domain Gaussian signal with a duration of 1 s and a center frequency of 10 kHz. In accordance with the working wavelength, the basic units of the parity metamaterial are composed of only one meta-atom P1 or its parity-inverted counterpart P2, as shown in Fig. 5A. In our simulations, the sonar is modeled as an impedance boundary with an impedance of 38Z0, where Z0 is the impedance of air. Under this condition, the simulated sonar provides approximately 90% reflection.
Fig. 5.

Temporal acoustic camouflage via a sonar integrated with a parity metamaterial. (A) Schematic diagram of a sonar integrated with a parity metamaterial. Inset shows the design of the parity metamaterial. (B) The mechanism of the acoustic camouflage. (C and D) Snapshots of a Gaussian pulse incident on a sonar without (C) and with (D) a parity metamaterial, where . The left panels of (C) and (D) show the incident pulse, while the middle and right panels display the reflected signals. (E) Simulated reflection signals received at the probe, both without and with a parity metamaterial.
The parity metamaterial is closely attached to the sonar (just like the necessary sonar domes in practical sonar systems). In this case, the reflections from the metamaterial and the sonar itself both influence the overall reflection. By meticulously adjusting the rotation angle θ of the rotors in the parity metamaterial, as well as the distance d between the metamaterial and the sonar, it is possible to achieve destructive interference between the reflections from the sonar and those from the parity metamaterial. This results in a substantial reduction of the overall signal. The mechanism behind the acoustic camouflage is illustrated in Fig. 5B. The total reflection R can be expressed as
| (1) |
where r1 and denote the reflection coefficients on the front and back interfaces of the parity metamaterial, r2 is the reflection coefficient of the sonar, t1 is the transmission coefficient of the parity metamaterial, and indicates the phase change through the air layer. By setting , the overall specular signal can be eliminated. Under this condition, we only need to consider the 0th-order transmission and reflection coefficients of the parity metamaterial and sonar. The phase shift can be expressed as , where k is the wave number. For example, when the rotation angle of the rotors is , the distance between the metamaterial and the sonar is calculated as . The details are shown in Text S14 and Fig. S15.
Figure 5C shows the snapshots of the incident and reflected Gaussian pulse without the parity metamaterial. As expected, a strong specular reflection is observed when the pulse directly impinges on the sonar. In contrast, when the parity metamaterial covers the sonar, the specular reflection is substantially reduced, and the scatterings in other directions emerge, as shown in Fig. 5D. To quantify the temporal camouflage effect, we simulated the reflected signals received at a probe located at a certain distance from the sonar. The results, shown in Fig. 5E, demonstrate a marked reduction in the reflected signal intensity when the parity metamaterial is present. Specifically, the reflected signal strength is reduced to below 7% of its original value, and this value is expected to decrease further at greater distances. This effect makes the sonar system more difficult to be detected. Simultaneously, the parity metamaterial preserves the undistorted ultrabroadband transmission, ensuring the effectiveness of sonar detection.
Conclusion
We would like to emphasize that the concept of parity metamaterials is fundamentally different from PT-symmetric metamaterials. PT-symmetric metamaterials [2–5] are non-Hermitian systems with global PT symmetry, while the parity metamaterials do not require any global symmetry at all. On the other hand, PT-symmetric systems require delicately balanced loss and gain, while the functionalities of parity metamaterials are inherently robust to loss (Text S15 and Fig. S16) because both the reciprocity principle and parity transformation are uninfluenced by loss.
Parity metamaterials are fundamentally different from previously reported metamaterials studied in topological acoustics [59–63]. In topological systems, the wave behavior is governed by the bulk band structure, which arises from the periodic arrangement of a single type of unit cell with carefully designed internal symmetry and intercell coupling. These systems often exhibit edge-localized states, valley vortex fields, or other nontrivial band topology effects. In contrast, parity metamaterials proposed here are constructed using a pair of meta-atoms, i.e., a meta-atom and its unique parity-inverted counterpart. Our design is not constrained by lattice periodicity and enables aperiodic arrangements, through which the reflection signature can be tailored. This mechanism unlocks a new class of wavefront control, wherein broadband undistorted transmission is guaranteed irrespective of tunable reflection shaping, enabling applications such as camouflaged sonar domes.
On the other hand, asymmetry has been recently adopted to achieve exceptional points for unidirectional absorption [64]. Here, asymmetry is applied in the design of meta-atoms for dynamic acoustic mimicry. The approach of parity metamaterials generally applies to meta-atoms of any symmetry. Compared with symmetric meta-atoms, asymmetric meta-atoms can provide many more degrees of freedom for tuning the reflection, thereby enabling dynamic acoustic mimicry.
We should note that parity metamaterials reveal the fundamental difference between parity transformation and mirror operation , which was applied in previous optical metasurface designs [57,58]. This fundamental difference is manifested by the important advantage that parity metamaterials can be constructed from arbitrary building blocks, including ones with chirality and no symmetry at all, which is a huge advance in contrast to the previous optical designs. This difference also releases a large amount of new freedom that enables the dynamical acoustic mimicry, which can flexibly simulate the acoustic signatures of a periodic terrain, a rugged terrain, and a flat terrain, etc. Furthermore, the acoustic camouflage performance is also demonstrated in temporal domains.
In summary, we introduce the fundamental symmetry operation, parity transformation, to design a new class of metamaterials denoted as parity metamaterials. These metamaterials are constituted by an arbitrary 3D meta-atom and its unique parity-inverted counterpart. The combination of parity transformation and reciprocity allows for dynamic acoustic mimicry in reflection without distorting the transmitted wavefront across a wide spectrum. This approach is universal and applies to all types of structures and materials, as long as they are reciprocal. The constituent meta-atoms do not necessitate any specific symmetry and work robustly with loss. Although the demonstration here is conducted using airborne sound, it can also be extended to underwater scenarios (Text S16 and Fig. S17). It is also effective when the thickness of the metamaterial is much larger (Text S17 and Fig. S18). Our findings uncover the profound role of parity transformation in ultrabroadband wave manipulation, establishing parity engineering as a transformative paradigm for artificial material design, with implications spanning acoustic camouflage, adaptive metasurfaces, and next-generation communication systems.
Methods
Numerical simulations
The full-wave simulations are performed using the commercial finite element software COMSOL Multiphysics. In the calculations, the parameters of air are set as and . The impedance of air is . The structures are fabricated using photopolymer resin, with a mass density and speed of sound . Acoustic impedance is Pa·s/m. Given that the acoustic impedance of air is approximately 415 Pa·s/m, this results in an impedance contrast exceeding 2,243×, which justifies the treatment of the resin as acoustically rigid. The background pressure field is used in Figs. 2 to 4. The periodic boundary condition is set in the x and y directions, and perfectly matched layers are adopted in the z direction to reduce the reflection. In Fig. 5, a Gaussian wave is utilized.
Experimental measurements
All samples are fabricated with resin using stereolithography 3D printing techniques (0.2 mm in precision). All the rotors are printed separately to facilitate rotational operations during the experiment. The rotor angles are manually adjusted using a standard protractor (angle ruler). Before each measurement, we align the rotor by visually matching the angle between the curved plate and a reference line with the aid of a handheld protractor. While this method is simple, it allows us to control the rotor angle with an estimated accuracy of ±2° to 3°. The whole size of the sample is .
The experimental configuration is depicted in Fig. S19. To generate a quasi-plane wave, a speaker array (Five HiVi B1S) equipped with a parabolic mirror is meticulously constructed. A microphone (GRAS 46BE) is affixed to a movable stage to systematically scan the distribution of the acoustic field with a step size of 10 mm. To mitigate the influence of waves propagating around the specimen, sound-absorbing foams are affixed in its vicinity. The 2 measured regions on the sides of reflection and transmission in the xz-plane are shown as 2 blue rectangular areas in Fig. S19A. Both regions are in size and are positioned 2 cm away from the sample. The photo of the experimental setup is shown in Fig. S19B. The measured reflected field distribution is obtained by subtracting the incident field (measured without the sample) from the total field (measured with the sample). The experiment is carried out in an anechoic room to minimize reflection and noise.
Acknowledgments
Funding: This work was supported by the National Key R&D Program of China (grant number 2020YFA0211400); the National Natural Science Foundation of China (grant numbers 12474293, 12174188, 12174192, and 12404364); the Natural Science Foundation of Jiangsu Province (grant numbers BK20233001 and BK20240575); the State Key Program of National Natural Science Foundation of China (grant number11834008); and the China Postdoctoral Science Foundation (grant number 2023M731612).
Author contributions: J.S. and H.C. conducted the analysis, simulations, and sample fabrication. J.S. conducted the experiments. A.M. helped in the theoretical analysis, and C.L. helped in the experiments. Y.L., X.L., and J.C. organized and led the project. All the authors contributed to the data analysis and manuscript preparation.
Competing interests: The authors declare that they have no competing interests.
Data Availability
The data that support the plots within this paper and other findings of this study are available from the corresponding author upon reasonable request.
Supplementary Materials
Texts S1 to S17
Figs. S1 to S19
References
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Texts S1 to S17
Figs. S1 to S19
Data Availability Statement
The data that support the plots within this paper and other findings of this study are available from the corresponding author upon reasonable request.
