Abstract
Hyperbolic metamaterials, the highly anisotropic subwavelength media, immensely widen the engineering feasibilities for wave manipulation. However, limited by the empirical structural topologies, the reported hyperbolic elastic metamaterials (HEMMs) suffer from the limitations of the relatively narrow frequency width, inflexible adjustable operating subwavelength scale and difficulty to further improve the imaging resolution. Here, we show an inversedesign strategy for HEMMs by topology optimization. We design broadband singlephase HEMMs supporting multipolar resonances at different prescribed deepsubwavelength scales, and demonstrate the superresolution imaging for longitudinal waves. Benefiting from the extreme enhancement of the evanescent waves, an optimized HEMM at an ultralow frequency can yield an imaging resolution of ~λ/64, representing the record in the field of elastic metamaterials. The present research provides a novel and general design methodology for exploring the HEMMs with unrevealed mechanisms and guides the ultrasonography and general biomedical applications.
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Introduction
Metamaterials are artificial subwavelength composite materials or structures, which provide many encouraging opportunities to modulate and control the wave propagation with the extraordinary physical properties. In recent years, due to their strongly anisotropic dispersion, hyperbolic metamaterials (HMMs) with hyperbolic dispersions^{1} as one of the most important types of the metamaterials have attracted special attention and evidenced many promising applications, including negative refraction^{2,3,4}, enhanced superlensing effects^{5,6,7,8,9,10,11,12}, backward waves^{7}, strong thermal emission^{13,14,15,16}, sensing^{17}, Purcell factor enhancement^{2,18}, improved absorption^{19,20,21}, heightened conductivity^{22} and intensified spontaneous emission^{2,23,24,25,26}. In particular, compared with the doublenegative metamaterials, the HMMs just need to satisfy the criterion of constraining the particle motion in one or two principal directions^{2}. The concept of HMMs has been applied to engineering materials for better controlling the electromagnetic waves^{2,5,6,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27} and acoustic waves^{3,4,7,9}. Unlike their electromagnetic^{5} and acoustic^{28} counterparts, elastic metamaterials (EMMs)^{29,30,31,32,33,34} involve more material parameters and support both longitudinal and transverse wave modes. They can offer more possibilities to explore unusual physical phenomena^{29,30,31,32,33,34} beyond natural materials. Therefore, by combing the characteristics of the HMMs and EMMs, it is more challenging to construct hyperbolic elastic materials (HEMMs)^{8,10,11,35} with a set of desired properties.
Over the past few years, several research groups have focused on the HEMMs and proposed different microstructural topologies^{8,10,11,35}. The superlenging capacities of the HEMMs have been numerically^{8,10,11} and experimentally demonstrated^{8,11}. Two different mechanisms^{8,10,11,35} have been shown to be responsible for the hyperbolic dispersions. A coilingup metamaterial possessing different deformations along two principal directions was reported for the superior imaging resolution which breaks the diffraction limit^{8}. Then, an elastic hyperlens was designed based on the microstructure with anisotropic mass densities^{10,11}. In fact, for elastic media, it is generally easier to acquire a lowfrequency bandgap through anisotropic mass densities than through distinct deformation mechanisms. However, a systematical design of the anisotropic mass densities for the hyperbolic dispersion is still lacking. Moreover, the previously reported HEMMs show the following limitations: (1) The operating frequency range is relatively narrow, which demands further improvements in widening the frequency and wavevector ranges for hyperbolic eigenfrequency curves (EFCs). (2) The HEMMs at ultralow frequencies have not yet been reported. (3) No simple and controllable method is available to design HEMMs at different subwavelength scales. (4) The imaging resolution of the elastic hyperlens has yet to be improved. We believe that the superresolution (i.e., much smaller than the diffraction limit) ability of the HEMMs may lead to great challenges for metamaterial engineering. However, the conventional manual and intuitive designs are unable to overcome the above limitations and thus make the design of the HEMMs more challenging. Therefore, a systematic methodology is necessary for searching the highperformance microstructural topologies exhibiting the hyperbolic dispersion in modulating the elastic subwavelength waves.
In this paper, based on the topology optimization^{12,33,35,36,37} and effective medium theory^{29,31}, we present a sophisticated design strategy to realize twodimensional (2D) broadband singlephase HEMMs with negative effective mass densities along one principal direction. We show the similar geometrical features of the optimized HEMMs and reveal their special multipolar resonance mechanisms and controlled vibration along the wave propagating direction. All optimized HEMMs presented in this paper are proved to support the subwavelength imaging. In particular, we demonstrate that a singlephase metamaterial with suitable constraints can exhibit the hyperbolic dispersion in the ultralow frequency range, implying the comparable capacity of manipulating elastic waves as in the multiphase local resonance metamaterials. As a result, the longitudinal waves can propagate only along the desired direction within the HEMMs. Furthermore, our optimized HEMMs can persistently and intensely enhance the transmission of the evanescent waves over the largest wave vector range. In this way, we obtain a superhigh, or almost ultimate, imaging resolution (~λ/64) which represents the record in the field of EMMs for longitudinal waves.
Results
Methodology
To obtain the hyperbolic dispersion, we have to construct the microstructure with anisotropic mass densities^{10} or elastic moduli^{11}. In this paper, we consider a singlephase metamaterial with an orthotropic symmetry in a square lattice, as shown in Fig. 1(a). Changing the microstructural topology in Fig. 1(b) will induce the possible resonances, leading to an anisotropic dispersion for a certain energy band. As evidenced in the recent work on HEMMs^{10}, if the dominated mechanism is the anisotropic mass density, the eigenfrequency curves (EFCs) will be elliptical or hyperbolic, as displayed in Fig. 1(c). Especially, when ρ_{ yy } > ρ_{ xx } > 0 or ρ_{ xx } > ρ_{ yy } > 0, the curve may take the elliptical shape 1 or 2. However, if the anisotropy becomes stronger, the hyperbolic shape 3 or 4 is possible to occur for the EMM with a single negative mass density ρ_{ yy } < 0 < ρ_{ xx } or ρ_{ xx } < 0 < ρ_{ yy }, like its electromagnetic and acoustic counterparts^{2,9}. To systematically achieve hyperbolic EFCs in a robust way, we apply the topology optimization in this paper to design the unitcell microstructure with a single negative mass density by considering the design domain illustrated in Fig. 1(b).
It was reported that a negative mass density can be usually realized by dipolar resonances, whereas a negative bulk modulus and a negative shear modulus can be induced by monopolar and quadrupolar resonances, respectively^{29,30,31,33}. Although the topology optimization may yield complex microstructures beyond the existing resonance mechanisms, the involved varying characteristics of the effective parameters are similar for a metamaterial with either negative mass density or negative elastic modulus. That is, the value of the effective material parameter reaches the infinity at the resonant frequency, and then gradually decreases with the frequency away from the resonance^{29,30,31,33}. For simplicity, it is effective to adopt the discrete responses at a certain number of frequencies to define the effective performance. To this end, we select some sampling frequencies distributed uniformly in a target frequency range (f_{min}, f_{max}). Generally, the essential condition for obtaining a negative mass density is to excite a suitable resonance^{33}. Then the negative range can be expanded if the resonant frequency is pushed down. For the same frequency range of interest, the decrease of the resonant frequency will result in a smaller minimal positive value. Consequently, the driving force for the sufficiently wide negative range to a low frequency is to increase the ratio between the positive maximal value to the positive minimal value at all sampling frequencies. For the broadband negative mass density along the xdirection, we propose the topology optimization formulation within (f_{min}, f_{max}) as given in Table 1.
Here, ρ_{ xx } (ρ_{ yy }) and E_{ xx } (E_{ yy }) are the effective mass density and effective elastic modulus along the x− (y−) direction, respectively; \({\rho }_{xx}^{+}\) represents the special array composed of the positive values; E_{ xy } is the coupling modulus; F_{ x } (F_{ y }) is the magnitude of the reaction force along the x− (y−) direction for calculating ρ_{ yy }; Σ stands for the integration over the upper and lower boundaries of the unitcell; e is the array composed of the width of each solid connection; and δ_{E}, δ_{F}, δ_{ ρ } and e^{*} are the selfdefined optimization parameters; M is the number of the sampling frequencies; SN denotes the value of the objective function value; N is the number of the sampling frequencies where ρ_{ xx } is negative; m (m ≤ M) is the serial number of the frequency where positive ρ_{ xx } remains; and i (i = 1, 2…M) is the serial number of the calculated frequencies. The constraints (1b)(1d) are introduced to ensure the emergence of the longitudinal wave motion in the ydirection. The constraint (1e) is introduced to control the exclusive longitudinal wave motion along the ydirection. The constraint (1 f) is used for ensuring a purely translational motion in the ydirection and deleting the pronounced local rotations^{29}. The constraint (1 g) is employed to guarantee the strong anisotropy of the effective mass densities. Finally, the constraint (1 h) is utilized to make the structure sufficiently stiff and manufacturable. Our numerical tests show that M = 11 can effectively describe the continuous dynamic properties over a wide frequency spectrum. More sampling frequencies will result in a higher computational cost but not alter the optimized results essentially. For all designs with a negative ρ_{ xx }, we take δ_{F} = 0.2, δ_{ρ} = 1.37 and e^{*} = 0.001 m based on the numerical tests. The genetic algorithm (GA) is adopted^{33} to achieve the optimized HEMM for a given frequency range (f_{min}, f_{max}). The kernel of the present design method is the fact that the GA generates various microstructural topologies whose effective material parameters are extracted by the effective medium theory to hunt for better objective properties. More details on the determination of the effective parameters and the descriptions of the objective function and constraints are presented in the Supplemental Material^{38}.
Optimized metamaterials
We consider the design of a squarelatticed (lattice constant a = 0.03 m) perforated singlephase metallic structure made of the stainless steel^{10,31,33} with the mass density ρ = 7850 kg m^{−3}, the Young’s modulus E = 200 GPa and the Poisson’s ratio υ = 0.3. By employing the topology optimization, we construct some novel microstructural topologies which are difficult to conceive through a conventional intuition. These distinct HEMMs show outstanding frequency bandwidths and profoundly reveal some exotic mechanisms for the hyperbolic dispersion. Figure 1(d) shows the optimized microstructures H1, H2 and H3 at the different wavelength scales of λ_{1} = 10a (f_{max} = 19.5 kHz), λ_{2} = 20a (f_{max} = 9.75 kHz) and λ_{3} = 50a (f_{max} = 3.904 kHz), respectively. The evolutionary history and the convergence of the topology optimization strategy for H3 are described in the Supplemental Material^{38}. It is noted here that the optimized solutions can certainly produce a certain bandwidth of the negative ρ_{ xx } below f_{max}. Since we are intended to obtain a sufficiently wide hyperbolic range at low frequencies as much as possible, f_{min} for all optimization cases is selected as 0.5 Hz. We use different δ_{E} to appropriately confine the coupling modulus to ensure the emergence of the negative ρ_{ xx } in the given search space, especially for the cases at ultralow frequencies. It is seen from Fig. 1(d) that the three ranges of the negative ρ_{ xx } are nearly consistent with the relevant frequency ranges in the band structures. The negative ranges with the midfrequencies of 15.3025 kHz, 7.177 kHz and 3.0499 kHz provide the absolute widths (relative widths) of 12.899 kHz (0.8429), 5.198 kHz (0.7243) and 1.7846 kHz (0.5851), respectively. In fact, the optimization objective function in Eq. (1a) can successfully drive the evolution to generate the sufficiently wide negative range over f_{max}.
Interestingly, the three optimized microstructures in Fig. 1(d) exhibit the common geometrical features: (i) multiple solid blocks interconnected by the narrow solid connections, (ii) two centered blocks placed in the ydirection, and (iii) several slender rods located along the x or ydirection, acting as either the horizontal or the vertical connections. Intuitively, these features are responsible for the strong anisotropy of the dynamic wave responses with respect to the two principal directions. Generally speaking, increasing the thickness of the connections gives rise to the increase of the operating frequency range. On the other hand, the anisotropy degree of the effective dynamic behaviors mainly depends on the symmetries and topologies of the multiple blocks.
Negative properties and mechanism analysis
To demonstrate the negative properties of the optimized HEMMs, we numerically compute the dispersion relations and the wave transmissions, and extract the effective material parameters for H1 and H3, as respectively illustrated in Fig. 2. The method for the determination of the effective material parameters, the wave transmission along the two principal directions, the transmission of the propagating and evanescent elastic waves, and the hyperbolic properties of H2 are presented in the Supplemental Material^{38} for the sake of brevity. In Fig. 2(a,e), the wide directional bandgaps in the ГXdirection occur between the two longitudinal wave bands, while a relatively straight longitudinal wave band is maintained within the same range along the ГYdirection. The negative ρ_{ xx } with the positive E_{ xx } (Fig. 2(c,d,g,h)) can accurately capture the occurrence of the bandgap along the ΓXdirection. The positive ρ_{ yy } with the positive E_{ xx } (Fig. 2(c,d,g,h)) also predicts the existence of the longitudinal wave mode in the ΓYdirection. The transmission properties (Fig. 2(b,f)) along the two principal directions also show that the longitudinal waves cannot propagate within the metamaterial in the ΓXdirection but can propagate along the ΓYdirection. Therefore, the hyperbolic dispersion is resulted from the different characteristics along the two orthogonal principal directions of the HEMM microstructure. For H3 with the bandgap in the ultralow frequency region when ρ_{ yy } keeps nearly a constant value, ρ_{ xx } turns to be negative within the range of (2.157 kHz, 3.943 kHz). Unlikely, E_{ xx } is always positive in the same range. The HEMM H3 has the simultaneously positive ρ_{ xx } and E_{ xx } in the range of (3.94 kHz, 4.385 kHz), which characterizes accurately the wave modes of the forth band in the ГXdirection. Here, we apply the effective longitudinal modulus P = K + μ (where K is the effective bulk modulus and μ is the effective shear modulus)^{38} to characterize the effective material behaviors concerning the longitudinal wave motion. Unlike E_{ xx } and E_{ yy }, no large decrease of P is observed. This, in turn, explains the strong anisotropy of the elastic moduli.
To reveal the physical mechanisms of the negative effective material properties, we investigate the representative eigenstates M_{1}M_{4} marked in Fig. 2(e), see Fig. 2(i). The eigenstate M_{1} in the lower edge of the bandgap has the energy mostly concentrated in the six solid blocks, while the eigenstate M_{2} in the upper edge shows the opposite vibrations. Therefore, the origin of the bandgap in Fig. 2(e) is the result of the enhanced multipolar resonances which generate the negative ρ_{ xx } within the range of (2.157 kHz, 3.943 kHz). The eigenstate M_{3} shows the rotations of the four smaller blocks with the bigger two almost unmoving. This is the typical quadrupolar resonance generating the negative E_{ xx } above 4.385 kHz as shown in Fig. 2(h). As for the ГYdirection, we also display the eigenstate M_{4} of the longitudinal wave band within the range of (2.157 kHz, 3.943 kHz). It is shown here that the ypolarized translation dominates the total motion of the unitcell. From these analyses, we can conclude that the optimized HEMMs can readily control the x and ypolarized wave motions independently through the multipolar resonances.
Subwavelength imaging
To demonstrate the hyperbolic dispersion, we illustrate the EFCs of the HEMMs H1 and H3 in Fig. 3(a,b), respectively, leaving details of H2 to the Supplemental Material^{38}. Due to the strong anisotropy, the EFCs show a distinctive hyperbolic shape. When the incident waves launch into the HEMMs, the refracted group velocity, which is perpendicular to the contours and pointing away from the interface, must be in a negative direction^{9}. That is, the negative refraction for the propagating wave mode appears at the interface between the HEMM and the background material (stainless steel). It is observed from Fig. 3(a,b) that the curvature of the curve becomes larger with the frequency increasing. Particularly, the bottoms of the hyperboloids clearly show the extremely flat profiles in a broadband frequency range, which can contribute to the energy funneling phenomenon^{3,4} with a large bandwidth. The flatter curves over the whole wave vector range give rise to the larger group velocities. Furthermore, three optimized HEMMs (H1H3) possess the broadband hyperbolic dispersions with the bandwidths of 10.651 kHz (H1), 4.095 kHz (H2) and 1.755 kHz (H3), respectively. Independent of the subwavelength or deepsubwavelength scales, all these values outperform the previously reported frequency bandwidths of the HEMMs^{10,11}. Certainly, we can freely scale up or down the optimized microstructures for the operation at much lower or higher frequencies. Since our present study only focuses on the longitudinal wave propagation, the evident hyperbolic dispersions shown in Fig. 3(a,b) validate that our proposed topology optimization strategy is robust for the longitudinal waves, no matter whether the transverse waves exist or not.
To validate the imaging performance of the optimized HEMMs, we demonstrate the typical hyperlensing effect of the longitudinal waves at various operating frequencies in Fig. 3(c–f). Here, we investigate the optimized HEMMs H1 (Fig. 3(c,d)) and H3 (Fig. 3(e,f)). A HEMM slab with 35 × 8 unitcells surrounded by the background material (stainless steel) is considered. In all considered cases, a point source of the longitudinal wave is applied on the position 0.02 m away from the upper side of the HEMM slab. We consider the operating frequencies of 13 kHz (Fig. 3(c)) and 14 kHz (Fig. 3(d)) for H1, as well as 2.3 kHz (Fig. 3(e)) and 3.1 kHz (Fig. 3(f)) for H3. The obvious difference between the sizes of the source and the image as shown in the figures is due to the inevitable incident wave reflection which is caused by the impedance mismatch between the background material (stainless steel) and the metamaterials. However, from the intensity profiles of the images (the red curves in Fig. 3c–g), we can observe clearly that the wave propagates through the HEMM and yields an image of the source on the other side of the slab. We obtain the full width at the half maximum (FWHM) of the four images as 0.178λ (Fig. 3(c)), 0.167λ (Fig. 3(d)), 0.0156λ (Fig. 3(e)) and 0.0253λ (Fig. 3(f)). Moreover, the lower the operating frequency is, the higher imaging resolution the optimized HEMM can realize. Surprisingly, all these imaging resolutions, which are much higher than the diffraction limit, exceed the previously reported values of the HEMMs proposed by Oh et al.^{8}, Zhu et al.^{10} and Lee et al.^{11}. The reported superhigh resolution of 0.0156λ (~λ/64) represents the record even in the field of EMMs. We believe that these hyperlensing properties are realized owing to the hyperbolic dispersions with the extremely anisotropic mass densities.
Moreover, based on the optimized microstructures, we can adjust the thickness of the lens to meet the FabryPérot resonant condition^{39} for standing wave excitation. Figure 3(g) displays the imaging simulation for a 15 × 35 EMM slab based on the HEMM H1 at 12.96 kHz. Clearly, the considered novel hyperlens gives the enhanced imaging transmission. More importantly, the obtained imaging resolution (FWHM = 0.074λ) is much higher than that (FWHM = 0.178λ) in Fig. 3(c). This improvement results from more standing waves excited in the lens. In fact, it is in principle possible to increase the thickness of the lens in the optimized HEMM H3 for a higher resolution smaller than 0.0156λ.
It is noticed here that the transmission in the above HEMM is very low and therefore the image is very weak due to the large impendence mismatch. This is because that the impedance match condition is not included in the optimization approach. If this condition is considered, a metamaterial with a higher transmission performance may be obtained. A typical example is displayed in Sec. 6.3 of the Supplemental Material^{38}. It is seen that the transmission is obviously improved. However, a better impedance match often requires the simultaneously large mass density and stiffness, which is rather difficult to realize within the ultralow frequency region (λ > = 90a).
We further mention that an imaging of the designed HEMM with a high resolution can be also realized in a fluid medium. Figure 3(h) presents the imaging of the hyperlens based on HEMM H1 with the water instead of the stainless steel as the background material. The imaging resolution with FWHM = 0.34λ is lower than that (FWHM = 0.178λ) in Fig. 3(c). However, a nearly perfect imaging transmission is achieved with only a small amount of the wave energy being reflected because of the ideal impedance matching.
Since the hyperbolic dispersion is responsible for the above hyperlensing effect, we present the longitudinal waves propagating in the optimized HEMMs H1 and H3 at 13 kHz and 2.3 kHz, respectively, to verify the strongly anisotropic wave motions, see Fig. 4. For this purpose, we apply a point source of the longitudinal wave in the center of a 11 × 11 HEMM slab. Here, it can be clearly recognized that the longitudinal wave propagates only along the ydirection, which coincides with the hyperbolic EFCs. It is very interesting to note that the images in these two cases occur nearly in the same regions, indicating the fact that the optimized HEMMs have a stable focused energy at those frequencies with very flat EFCs, and all the widths of the four energy concentration areas are about 1.5a. Presumably, this is due to the similar boundary structures which can transmit the similar wave motions at the interfaces between the metamaterial and the background material. However, from the viewpoint of the topology optimization, it is unlikely to further change the topologies of the boundaries in the optimized metamaterials. Therefore, the similar capacities of the wave focusing in Fig. 4 imply that the three HEMMs in Fig. 1(d) may have the similar ultrahigh resolution imaging abilities at the corresponding wavelength scales. We stress here that the resolution of λ/64 shown in Fig. 3(e) possibly represents the highest hyperlensing performance approaching to the limit within the proposed topology optimization framework.
To reveal the reason for the superresolution imaging, we consider the zeroorder transmission coefficient T (more details on T are given in the Supplemental Material^{38}) of a plane elastic wave and qualitatively evaluate the transmission of both propagating and evanescent waves^{38} through a metamaterial layer of the optimized HEMMs embedded into a background material (socalled freespace) The metamaterial layer has a thickness of 8a and the background material is the stainless steel. Figure 5(a,b) illustrate the transmission coefficients of the HEMMs layers H1 and H3 over certain frequency ranges versus the wave component k_{ x }. According to the definition of T^{38}, a value of T larger than 1.0 means that the propagating or evanescent waves are enhanced. From Fig. 5(a), it is clearly seen that the transmission coefficient is large enough (T > 1.0) for a large k_{ x } in the negative ρ_{ xx } range. However, in the highfrequency region, a large transmission coefficient cannot occur in a wide range of the wave vector, and the transmission coefficient decreases gradually as the frequency rises. The similar behavior is observed in Fig. 5(b). At a certain operating frequency below the negative ρ_{ xx } range, the transmission coefficient can be large only in a narrow wave vector region, especially when the frequency approaches 2.1576 kHz. In particular, the transmission coefficient shows a pronounced increase around 2.5 kHz in a wide k_{ x } range. Therefore, the results in Fig. 5(a,b) demonstrate that the evanescent waves are enhanced significantly in the HEMMs H1 and H3. The flat hyperbolic dispersions in Fig. 3(a,b) ensure the enhancement of the evanescent waves over a wide range with a large k_{ x }^{7}. In the process of the wave focusing, the optimized HEMMs with the hyperbolic dispersions will convert the evanescent wave components containing the subwavelength information into the propagating wave components and transfer the energy to the focal plane of the image^{7,9,40}. For the abovementioned reasons, it can be concluded that it is the extreme enhancement of the evanescent waves which results in the superhigh imaging resolution of λ/64.
To explicitly reveal the effect of the frequency on the transmission, we show the transmission coefficients in the HEMM H3 at four frequencies 2300 Hz, 2662.5 Hz, 3075 Hz and 3487 Hz in Fig. 5(c). The corresponding effective mass densities in the xdirection are ρ_{ xx } = −24526 kg m^{−3}, −5303 kg m^{−3}, −1948 kg m^{−3} and −698 kg m^{−3}, respectively. Figure 5(c) reveals that, because of the imperfect effective impedance matching, the optimized metamaterials in the four considered cases have lower transmission coefficients for the propagating waves than the reference result. However, the strongly enhanced transmission of the evanescent waves is excited simultaneously in these four cases. This implies that, contrary to the freespace (stainless steel) case, the optimized HEMM H3 has the competence of generating a high imaging resolution. Moreover, as the frequency increases, the transmission of the propagating waves gradually decreases resulting from the worse effective impedance matching. The enhancement extent of the evanescent waves reduces synchronously because the smallest transmission coefficient in the evanescent region decreases obviously. The case at 2300 Hz distinctively shows the best and extreme enhancement property over the considered wave vector range. So, the simultaneously best imaging transmission and resolution of the HEMM H3 generally exist at lower frequencies within the hyperbolic frequency range. The other two optimized HEMMs H1 and H2 also have a similar feature. In order to examine the effect of the transmission of the propagating and evanescent waves on the imaging, we show the performance of the imaging resolution and the maximal intensity on the focal plane based on the constructed HEMM H3 slab consisting of 35 × 8 unitcells at different operating frequencies in Fig. 5(d). Interestingly, the resolution keeps a high level as the frequency goes up, although a certain variation exists. In the narrow frequency range (2300–2600 Hz), the resolution and the imaging transmission (maximal intensity) present a tradeoff trend. Moreover, the stability of the resolution and imaging transmission indicates the strong robustness of the optimized HEMMs. Since the resonance can enhance the evanescent waves in the hyperlens^{40}, we presume that the abovementioned extreme enhancement of the evanescent waves originates physically from the multipolar resonances which can essentially make the x and ypolarized vibrations coupled together.
Conclusions
Singlephase metallic metamaterials with broadband hyperbolic dispersions for longitudinal waves are presented in this paper. Based on the effective mass density, a topology optimization strategy is developed for the design of the metamaterials. It is shown that the special multipolar resonances can guarantee the occurrence of the strongly anisotropic effective mass density with negative values along one direction in the deepsubwavelength frequency region (λ/a ≈ 10~90). The representative structural topology provides guidance for the engineering of HEMMs and even more metamaterial devices with complex functionalities. All the imaging simulations of the longitudinal waves in the optimized hyperlens demonstrate their transfer ability for the subwavelength information, which results in the extremely high resolutions beyond the diffraction limit. Moreover, benefited from the extreme enhancement of the evanescent wave transmission, a superhigh imaging resolution of about λ/64 is realized based on the optimized HEMMs at the ultralow frequency level. In addition, topology optimization offers an explicit choice to controlling the relative impedance of microstructure for enhancing imaging transmission. Owing to the special exploration ability of our design strategy based on the topology optimization, the optimized HEMMs in this paper exhibit several novel undiscovered structural topologies, the record broadband frequency ranges and the record imaging resolutions in the field of EMMs, to the best knowledge of the authors. Thus, the present HEMMs may open a new way for highperformance metamaterials in many potential innovative applications such as medical imaging, sensing and nondestructive testing. The proposed design strategy can be easily extended to design hyperbolic metamaterials and even metamaterials with the arbitrary effective parameters for other wave counterparts.
Methods
Genetic algorithm (GA) for constrained optimization
The improved singleobjective genetic algorithm (GA)^{33} is adopted to solve the optimization problem described by Eqs (1a)(1h). Each binary chromosome involved in the GA corresponds to a microstructure formed by a coarse grid with 30 × 30 pixels (square finite elements regarding the material phase 0 or 1). The search space for the optimization has 2^{N × N} design variables. With the orthotropic symmetry, the total number of the possible structures is reduced to 2^{N × N/4}. In the GA procedure, a random initial population containing N_{p} = 30 individuals (chromosomes) is created. The “abuttal entropy filter” for filling up some isolated voids and removing some isolated elements is applied to improve the structural strength. Then, the objective function value SN is computed for each individual. The constrained optimization is formed after considering all constraintviolating cases. If the ith individual is a feasible solution, then the final fitness evaluation which is equal to SN is defined as
Otherwise, if the individual cannot meet some constraints, then the fitness is determined by
where S is the number of the violated constraints; cv represents the violation extent for a certain constraint. The algorithm gradually employs several genetic operations, including the reproduction for the tournament selection with the size of the competition group N_{ts} (=18), the crossover with the crossover probability P_{c} (=0.9) and the mutation with the mutate probability P_{m} (=0.03/0.005 for the coarse/fine grid) to generate the offspring population. The elitism strategy^{33}, which preserves the best individual in the current generation as an elitism and replaces the worst one in the next generation by the elitism, is utilized to accelerate the optimization. The optimization process is repeated until a prescribed large number (e.g. 1000) of generations is finished. Finally, the GA produces an optimized microstructure which can be regarded as a “seed” individual for the new round of the optimization in a finer grid with 60 × 60 pixels for the better description of the structural boundaries. After the iterations, the final optimized microstructure is generated.
Numerical simulations
The simulations of the dispersion relations, wave transmission, effective material parameters and eigenstates were performed by the commercial finite element software ABAQUS 6.11–1. The simulations of the wave imaging and propagation through the hyperlens based on the optimized HEMMs were conducted by COMSOL Multiphysics 4.4. The optimization procedures were implemented on a Linux cluster with Intel Xeon X5650 Core @ 2.66 GHz.
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Acknowledgements
This research is supported by the National Natural Science Foundation of China (Grant No. 11532001), the Project funded by China Postdoctoral Science Foundation (2017M620607) and the SinoGerman Joint Research Program (Grant No. 1355) and the German Research Foundation (DFG, Project No. ZH 15/271). The first author is also supported by the Fundamental Research Funds for the Central Universities (FRFTP17070A1).
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H.W. Dong and Y.S. Wang initiated and designed the study. H.W. Dong formulated and performed all optimizations. H.W. Dong and S.D. Zhao conducted the physical analyses and numerical simulations. Y.S. Wang and C. Zhang supervised the project. All authors discussed the results and contributed to the manuscript.
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Dong, HW., Zhao, SD., Wang, YS. et al. Broadband singlephase hyperbolic elastic metamaterials for superresolution imaging. Sci Rep 8, 2247 (2018). https://doi.org/10.1038/s41598018205798
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DOI: https://doi.org/10.1038/s41598018205798
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