Abstract
Polarization control plasmonic nanostructures provide a unique route to manipulate light–matter interactions at the nanoscale and are particularly powerful for information security applications, where polarization-encoded color images can be used for optical encryption and anticounterfeiting. Conventional plasmonic materials such as Au and Ag, however, suffer from poor thermal stability, limiting their integration into robust, CMOS-compatible devices. Here, we present a polarization-encoded color image platform based on refractory HfN plasmonic metasurfaces, which combine gold-like optical properties with exceptional hardness, compositional tunability, and superior high-temperature resilience. Periodically patterned HfN nanoantennas with widths of 200 nm exhibit well-defined localized surface plasmon resonances in the visible spectrum (628 and 564 nm) and can be selectively excited by orthogonal linear polarizations. We designed and realized a polarization-encoded color image in which distinct color channels are revealed under x- and y-polarized illumination, enabling decryption of hidden information. Under unpolarized illumination, the superposition of color channels effectively conceals the message, achieving robust optical encryption. Our results establish HfN plasmonic nanostructures as a key material platform for next-generation nanophotonics, uniquely combining gold-like optical properties with exceptional thermal robustness. Even after high-temperature annealing, HfN retains its plasmonic response, enabling reliable polarization-resolved color image encoding and decryption. This breakthrough paves the way for thermally resilient metasurfaces for secure data encryption, anticounterfeiting, and robust operation in extreme environments.
1 Introduction
Polarization control has emerged as a powerful degree of freedom for manipulating light at the nanoscale through various structural designs [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], enabling applications ranging from color routing and beam shaping to high-density optical data storage [7], [9], [11], anticounterfeiting [8], [10], and secure information encryption [2], [3], [4], [11], [13]. Unlike amplitude or phase modulation, polarization-encoded information offers an additional channel for multiplexing, allowing multiple images or color patterns to be selectively retrieved under specific polarization states. In particular, polarization-encoded color images have recently attracted great interest as they enable intuitive, high-contrast readout and robust optical security features that are invisible under unpolarized light. Plasmonic nanostructures provide an ideal platform for realizing polarization-resolved optical functionalities, owing to their ability to concentrate electromagnetic fields into deep-subwavelength volumes and generate well-defined localized surface plasmon resonances (LSPRs) [14], [15], [16], [17]. Plasmonics have diversified optoelectronic characteristics [18], [19], [20], [21], including light focusing [18], plasmonic color generation [22], [23], strong localized electric fields [24], [25], [26], wavefront engineering [27], and wave guiding [28]. Based on the aforementioned properties, plasmonics has been widely applied in nanolasers [29], [30], [31], [32], [33], photodetection [34], [35], [36], [37], [38], photovoltaics [39], [40], and biochemical sensing [28], [41], [42]. By tailoring the geometry and orientation of plasmonic antennas, the spectral response can be designed to respond selectively to a given polarization state, enabling color-selective image reconstruction and optical encryption schemes. Previous demonstrations using Au, Ag, and Al nanoantennas have shown polarization-multiplexed holography and full-color generation [13], [24], [43], [44], [45], [46], [47]; however, noble metals suffer from low melting points, poor mechanical hardness, and chemical instability at the nanoscale [48], [49], [50], [51], [52], [53], [54], which limit their integration into robust and thermally resilient photonic systems. To overcome these challenges, transition metal nitrides (TMNs) such as TiN, ZrN, and HfN have emerged as CMOS-compatible plasmonic materials that combine gold-like optical properties with exceptional hardness, tunable stoichiometry, and high melting points (>3000 K) [48], [49], [50], [51], [52], [53], [54], [55], [56]. Notably, TMN-based plasmonic devices exhibit superior chemical stability compared to their noble-metal counterparts [49], [50], [57]. Among the TMNs, HfN stands out due to its relatively high bulk plasmon frequency (λ∼ 400 nm) and large negative real permittivity, which enable intense local electromagnetic field confinement and support localized surface plasmon resonance (LSPR) in the visible region. In this work, we focus on refractory HfN, characterized by its high bulk plasmon frequency (∼3.1 eV) and excellent thermal stability, which together facilitate visible-range LSPR, making it well suited for color imaging applications and highly compatible with semiconductor backend processes [37], [51]. Importantly, HfN nanostructures maintain their optical performance even after annealing at 900 °C, enabling reliable polarization-encoded color images that remain functional under harsh thermal environments, an essential requirement for practical data encryption and anticounterfeiting applications.
In this work, we optimize the growth of plasmonic HfN thin films, characterize their optical constants and crystallinity, and fabricate polarization-sensitive HfN plasmonic metasurfaces (PM) with precisely tuned dimensions. By orthogonally arranging two sets of antennas with distinct LSPR wavelengths, we realize a polarization-encoded QR code that selectively reveals distinct color channels under x- and y-polarized illumination, but remains concealed under unpolarized light. This approach establishes HfN PM as a robust, thermally stable platform for next-generation polarization-resolved nanophotonic devices and secure optical information encoding.
2 Experimental section
2.1 Fabrication of HfN plasmonic metasurfaces
HfN PM, consisting of patch antennas with an HfN back reflector, were fabricated using radio-frequency (RF) sputtering and electron-beam lithography (EBL). Before HfN deposition, the substrates were ultrasonically cleaned in acetone, isopropanol, and deionized water, successively, for 10 min per solvent. Afterward, the 105-nm-thick HfN thin films were deposited on the cleaned substrates in an RF sputter system with varied substrate temperature from RT to 800 °C, Ar flow rate 12 sccm, growth pressure three mTorr, and RF power 80 W. Regarding the EBL process, the electron photoresist ZEP-520A was spin-coated onto HfN thin films under the following conditions: 500 rpm for 5 s and 4,000 rpm for 1 min, in sequence. After the sample was baked at 180 °C for 3 min, the photoresist-covered HfN thin films were placed inside the electron beam writer (ELS-7000, ELIONIX INC.) to define the patch patterns. The dose of the electron beam is 0.15 μs/dot. Once the patch patterns were defined, a 40-nm-thick Cr layer was deposited on the patterns to serve as a hard mask. The residual electron photoresist and the Cr on it were lifted off by N, N-dimethylacetamide. Afterward, the non-Cr-covered HfN were etched through inductively coupled plasma reactive ion etching (Plasmalab System 100, Oxford Instruments) in the condition of Cl2 8 sccm, Ar 8 sccm, growth pressure 8 mTorr, RF power 30 W, and ICP power 400 W. The substrate temperature was controlled at 20 °C. Finally, the samples were dipped into the Cr etchant to remove the residual Cr mask, completing the entire device fabrication process. The process flow is shown in Figure S1 of the supplementary information.
2.2 Optical characterization
Spectroscopic ellipsometry (VASE, J.A. Woollam Co.) combined with Drude–Lorentz model fitting was used to extract the complex permittivity and determine the optimal growth parameters for HfN growth. The crystalline quality and chemical composition of the HfN films were characterized by X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS), respectively. Atomic force microscopy (AFM; Asylum Research, Oxford Instruments) was used to assess surface roughness. The overall morphology of the HfN patch antennas was examined by scanning electron microscopy (SEM; FEI). The optical images were acquired using an optical microscope (BX51M, OLYMPUS, Japan). A high-extinction-ratio linear polarizer (extinction ratio ∼10,000:1) was employed to control the incident polarization state. The optical images and QR code demonstrations were recorded in a normal-incidence reflection geometry using a 10 × objective lens with a numerical aperture (NA) of 0.3. A broadband xenon lamp served as the illumination source, providing uniform and stable illumination throughout the measurements. The reflectance spectra of the patch antenna were obtained using a custom-built system integrating the microscope, light source, and a spectrometer. The area of interest was defined by a field aperture and confirmed using a CCD camera. The reflected light was collected by the spectrometer, covering a spectral range of 400–900 nm. The optical response was calibrated against a 40-nm-thick Ag film on an MgO substrate prior to measurement. All optical measurements were carried out in ambient air at room temperature and atmospheric pressure.
2.3 Numerical simulations
The reflectance spectra and electric field distributions were simulated using the finite-difference time-domain (FDTD) method. The permittivity of the HfN thin films was extracted from ellipsometry measurements and fitted using a Drude–Lorentz model. In the simulation, a broadband plane wave was incident on a single unit cell of the HfN patch antenna array, with periodic boundary conditions applied along the in-plane (x–y) directions and perfectly matched layers (PML) along the excitation (z) direction. A nonuniform mesh with a minimum size of 5 nm was used to resolve the HfN patch antennas and the HfN back reflector regions.
3 Results and discussion
Since the substrate strongly influences the quality of deposited films, we first investigated how different substrate types affect the optical properties of HfN thin films. HfN films were reactively sputtered on MgO(100), c-plane sapphire(0001), Si, and SiC under the deposition conditions summarized in Table S1, followed by variable-angle ellipsometry measurements performed from 65° to 75°. The dielectric functions were extracted using the Drude–Lorentz model fitting over the wavelength range of 300–800 nm, as shown in Figure S2. Detailed fitting parameters are provided in Tables S2 and S3. In particular, we focus on HfN films grown on sapphire substrates because of their superior compatibility with CMOS fabrication processes. Notably, the films deposited on sapphire exhibit the lowest imaginary part of the dielectric function, which indicates reduced optical losses compared with those on other substrates. This can be attributed to their better crystallinity, which effectively suppresses electron scattering. These results highlight sapphire as a promising substrate for achieving low-loss plasmonic HfN films. Photographs of HfN films grown on sapphire substrates at different deposition temperatures (RT, 200 °C, 400 °C, 600 °C, and 800 °C). The film color progressively changes with increasing growth temperature, indicating variations in crystallinity and optical properties, as shown in Figure 1a. The dielectric functions of these films exhibit a clear and well-defined ENZ crossing, as shown in Figure 1b. The real part of the dielectric function, Re(ε), decreases monotonically with increasing wavelength for all deposition temperatures, with a distinct zero-crossing point corresponding to the epsilon-near-zero (ENZ) wavelength. As the growth temperature increases from room temperature (RT) to 800 °C, the entire Re(ε) curve shifts downward, resulting in a progressively shorter ENZ wavelength. In particular, the film grown at 800 °C shows an ENZ point at a wavelength shorter than 400 nm, indicating that higher-temperature deposition leads to more optically metallic behavior and improved plasmonic response in the visible range.

Optical properties of plasmonic HfN films grown at different temperatures on sapphire. (a) Growth of HfN films on sapphire substrates at temperatures from room temperature (RT) to 800 °C. (b) Real and imaginary parts of the dielectric function of HfN films deposited at temperatures ranging from RT to 800 °C. The epsilon-near-zero (ENZ) wavelength blue-shifts with increasing growth temperature, indicating tunable optical properties. The film deposited at 800 °C exhibits an ENZ wavelength shorter than 400 nm. (c) Calculated quality factor of the localized surface plasmon resonance (QLSPR) and (d) calculated quality factor of the surface plasmon polariton (QSPP) derived from the measured dielectric functions. The 800 °C film shows the highest QLSPR and QSPP across the visible and near-infrared ranges.
In addition, we found that the ENZ wavelength of HfN varies depending on the substrate, resulting in distinct plasmonic properties (Figure S2). Specifically, when the growth temperature is fixed at 800 °C, the ENZ wavelengths of HfN grown on MgO, sapphire, Si, and SiC are 364, 392, 365, and 366 nm, respectively. The imaginary part of the dielectric function Im(ε), which represents optical losses, generally decreases with increasing growth temperature across the visible spectrum. Films deposited at higher temperatures (600 °C and 800 °C) exhibit notably lower Im(ε) values, indicating reduced dissipative loss and improved plasmonic performance. In contrast, the room-temperature (RT) film shows the highest Im(ε), suggesting higher optical damping. The systematic reduction of Im(ε) with growth temperature highlights that high-temperature deposition yields better metallic HfN films with fewer defects and lower absorption losses, which is advantageous for plasmonic resonances. The improvement is expected to saturate beyond a certain temperature, as the reduction of extrinsic losses reaches a limit once the film approaches its optimal crystalline quality. In this work, growth at 800 °C already yields well-crystallized films with low optical loss. To evaluate the plasmonic performance of these films, we calculated the quality factor of the localized surface plasmon resonance (QLSPR) and surface plasmon resonances (QSPP) using Eq. (1) and Eq. (2) [52], [58]:
where ω represents the angular frequency, and Re(ε) and Im(ε) denote the real and imaginary parts of the dielectric function ε, respectively. Figure 1c shows the calculated QLSPR for HfN films deposited at different temperatures. QLSPR exhibits a distinct peak in the visible spectral range, with both the peak value and overall magnitude increasing systematically with growth temperature. The film deposited at 800 °C shows the highest QLSPR (∼2.5) across the entire spectrum, indicating the lowest plasmon damping and strongest resonance quality. In contrast, the RT film displays a significantly lower QLSPR, reflecting higher optical losses. These results highlight again that higher deposition temperatures yield HfN films with improved crystalline quality and reduced defect-induced scattering, thereby enhancing localized plasmonic performance. The calculated QSPP for HfN films deposited at different temperatures is shown in Figure 1d. Similar to QLSPR, QSPP increases systematically with deposition temperature, with the 800 °C film showing the highest QSPP over the entire visible and near-infrared range. These results confirm that high-temperature growth significantly enhances the SPP quality, which is beneficial for applications requiring long-range plasmon propagation, such as waveguiding and on-chip photonic circuitry.
It has been reported that both the stoichiometry and crystallinity of HfN play a critical role in determining its optical and electrical properties [51], [59], [60], [61]. For example, HfN is highly conductive [51], whereas c-Hf3N4 is nearly insulating [61]. To ensure that the HfN films grown on sapphire possess the desired metallic and crystalline quality for plasmonic applications, we carried out a comprehensive structural and compositional characterization. The XRD pattern (Figure 2a) reveals prominent reflections corresponding to the (111) planes of HfN (33.75°), indicating a preferred (111) orientation [62]. This preferred orientation is beneficial for achieving a uniform optical response. The measured peak widths (FWHM 0.58°) suggest good crystallinity, which is expected to reduce electron scattering and thereby minimize optical losses, as shown in Figure S2. XPS analysis further confirms that the film is predominantly metallic HfN, with only a minor contribution from surface-oxidized HfO2. Regarding the XPS spectrum of HfN/Sapphire shown in Figure 2b, the fitting curve shows four distinct peaks at 15.0 eV, 16.7 eV, 18.3 eV, and 19.8 eV. The first two peaks correspond to HfN (4f7/2) and HfN (4f5/2), respectively [59], [60], while the latter two are assigned to the HfO2 (4f7/2) and HfO2(4f5/2), respectively [63]. The significantly higher intensity of the HfN peaks indicates that the film composition is dominated by metallic HfN, with only slight surface oxidation. Such stoichiometric control is crucial for tuning the ENZ wavelength and optimizing the plasmonic performance. Finally, AFM image (Figure 2c) shows an exceptionally smooth surface with an RMS roughness of ∼0.2 nm, which is highly advantageous for nanofabrication and minimizes additional scattering losses at the metal–dielectric interface. Together, these results confirm that HfN grown on sapphire provides a high-quality, CMOS-compatible plasmonic platform with low optical damping, making it ideal for integration into metasurfaces and patch antennas requiring reproducible and robust plasmonic resonances.

Structural and surface characterization of HfN films grown on sapphire. (a) XRD spectrum showing the (111) peak of HfN, confirming the film with a preferred (111) orientation. (b) XPS spectrum fitted with components corresponding to HfN and a minor HfO2 contribution, confirming the film stoichiometry. (c) AFM topography image showing an atomically smooth surface with an RMS roughness of approximately 0.2 nm. Scale bar: 500 nm.
After confirming the crystallinity and stoichiometry of the HfN films, we fabricated polarization-sensitive plasmonic nanostructures based on the optimized growth conditions. The device design is shown in Figure 3a. Each metasurface consists of rectangular HfN patches with a long axis aligned along the y-direction, ensuring that the LSPR is selectively excited only under x-polarized (E x ) light illumination. The patch height (h1) is 80 nm, while the patch width (W) and period (P) are tunable parameters that determine the LSPR wavelength and resulting reflected different colors. A thin HfN back reflector (h2 = 25 nm) underneath the patches ensures efficient light confinement and minimizes transmission losses. The measured polarization-dependent reflectance spectra in the spectral range from 400 nm to 900 nm for a representative device (P = 400 nm, W = 250 nm) are shown in Figure 3b. Under Ex illumination, a pronounced reflectance minimum appears near 604 nm, characteristic of LSPR absorption, whereas no distinct resonances are observed under y-polarized (Ey) illumination, confirming the strong polarization selectivity. The reflectance minimum reaches 9.2 % at 604 nm, indicating strong light–matter coupling in the HfN nanostructure. The inset shows an SEM image of the patch antenna with a back reflector, while the OM images display the device under Ex- and Ey-polarized illumination. In addition, the simulated reflectance (Figure S3) also reveals similar polarization-sensitive behavior, but the reflectance minimum in the visible range is redshifted to 639 nm, and an additional reflectance minimum appears in the near-infrared (NIR) region. The slight spectral shift (∼35 nm) observed between the simulation and experiment is mainly attributed to fabrication imperfections and the presence of a thin surface oxide layer that was not considered in the initial simulation. The fabrication-induced discrepancies arise from unavoidable variations in the size, depth, and shape of the nanostructures during the lithography process. As confirmed by the XPS analysis (Figure 2b) and our previous work [57], a thin oxide layer may exist on the surface of the HfN films; however, its contribution is minor compared to the dominant metallic HfN signal. Based on the relative peak intensities in the XPS spectrum, the oxide thickness is estimated to be less than 3 nm. To assess its possible influence, we performed a sensitivity analysis using FDTD simulations by introducing a 3 nm conformal HfO2 overlayer on top of the designed nanostructure. The simulation shows that adding this surface oxide layer induces only a slight redshift of the resonant wavelength (approximately 30 nm) while exerting negligible influence on the resonance linewidth and contrast (Figure S4). Importantly, the presence of the surface oxide does not affect the polarization selectivity or the color-encoding functionality of the metasurface.

Design and polarization-dependent optical response of HfN plasmonic metasurfaces. (a) Schematic of the HfN PM consisting of patch antennas with an HfN back reflector on sapphire, showing the antenna width (W), period (P), and height (h1 = 80 nm, h2 = 25 nm). (b) Measured reflectance spectra under x- and y-polarized illumination, revealing a pronounced LSPR near 604 nm only for Ex excitation. Insets show SEM and optical microscope (OM) images of the fabricated polarization-sensitive plasmonic nanoantennas. The area of the color palette is 50 × 50 μm2. (c) Simulated electric-field intensity distribution for x- and y-polarized light at a resonant wavelength of 604 nm, confirming polarization-selective excitation of the LSPR mode. For a clearer comparison, the color scale bar of the field intensity plots was unified across both polarization states. (d) Optical microscope images of HfN polarization-sensitive PM with varying W and P under unpolarized illumination, revealing multiplexed color responses with low color purity. Insets show SEM images of the polarization-sensitive metasurfaces. (e,f) Polarization-resolved optical images under x- and y-polarized light illumination, respectively, where distinct color channels are selectively revealed, enabling polarization-controlled color imaging.
To understand the origin of the reflectance minimum, we simulated the electric field intensity distribution of the plasmonic nanostructure. FDTD simulations (Figure 3c) reveal a strongly localized electric field at the top corners of the HfN patches under x-polarized illumination, with a field enhancement exceeding 90 × relative to the incident field. In contrast, under Ey excitation, the field distribution is weak at the top corners of the HfN patches under y-polarized illumination | E |2/| E 0|2∼1, resulting in the absence of a pronounced resonance. A simple modal analysis indicates that the dominant contribution arises from a corner mode oriented along the x-axis. The anisotropy ratio of the corner electric field under x- and y-polarized excitation reaches approximately 9.5 at the resonance wavelength, highlighting the strong polarization selectivity of the mode. These results confirm that the reflectance minimum originates from a corner-localized LSPR mode dictated by the anisotropic patch geometry. Based on this concept, we fabricated HfN metasurfaces with periods ranging from 200 to 700 nm and widths ranging from 50 to 500 nm. Optical images under unpolarized and polarization-resolved illumination are shown in Figure 3d–f. Under unpolarized light, the color palette exhibits low-purity mixed colors (Figure 3d). The two nearly white areas are attributed to the fact that the nanostructures in these regions were not successfully fabricated during the nanofabrication process. As a result, these areas effectively behave as unpatterned thin films, exhibiting broadband reflection that appears white in color. In contrast, E x illumination produces a vivid and tunable color response across the array (Figure 3e), while Eγ illumination results in nearly uniform, pale reflection (Figure 3f), further confirming the polarization-encoded functionality. The vivid color response observed under x-polarized light illumination in Figure 3e is comparable to that reported by Chiao et al.; however, the reported devices did not exhibit polarization selectivity because they utilized disk-shaped nanostructures [51].
Leveraging the polarization sensitivity of HfN PM, we demonstrate a proof-of-concept optical encryption platform based on polarization-encoded QR codes. As illustrated in Figure 4a, the metasurface is designed with four distinct regions consisting of orthogonally arranged HfN patch antennas (regions I and II), a square-patch array (region III) with L x = L y = 200 nm, and a planar HfN back reflector (region IV). For the vertical patch antenna with Px = 600 nm, L x = 200 nm, L y = 1 μm, and P y = 1.26 μm. Similarly, for the horizontal patch antenna with Py = 450 nm, L y = 200 nm, L x = 1 μm, and P x = 1.26 μm. The measured reflectance spectra (Figure 4b) confirm the polarization selectivity: region I exhibits a pronounced reflectance minimum at 628 nm under Ex illumination, while region II shows a distinct reflectance minimum at 564 nm under Ey illumination. Figure S5 displays the simulation results of polarization-controlled reflectance spectra. These spectrally separated resonances enable reliable channel multiplexing and minimize crosstalk between the two QR codes. The ability to selectively reveal independent information channels with orthogonal polarization states highlights the potential of this approach for secure optical data encoding and anti-counterfeiting applications. This orthogonal design ensures that under unpolarized illumination, the regions display mixed colors, concealing the embedded information (Figure 4c). When illuminated with Ex or Ey polarized light, only the corresponding subset of antennas is excited, revealing two independent QR code patterns (Figure 4d and e) that direct users to different websites. Notably, the entire metasurface retains its optical functionality even after annealing at 900 °C, highlighting the exceptional thermal stability of HfN compared to conventional noble-metal plasmonic materials. As demonstrated in our previous work, HfN plasmonic nanostructures exhibit no observable changes in resonance wavelength or morphology after high-temperature annealing [51]. Figure S6 shows the microscopy images of the HfN metasurfaces before annealing, revealing no noticeable changes in the image or morphology and confirming their excellent thermal robustness. This refractory nature ensures device reliability under extreme processing or operating conditions, making the platform suitable for integration into CMOS-compatible photonic circuits and high-temperature sensing environments. To assess the robustness of the polarization-encoded optical encryption, we performed additional measurements to evaluate the tolerance of the metasurface response to varying polarization angles. As shown in Figures S7 to S10, the polarization-encoded QR code image remains clearly distinguishable for polarization angle deviations of up to ±30° and ±40° from the nominal x- and y-polarization directions, respectively. Beyond this range, the color contrast gradually decreases, demonstrating good angular tolerance for practical operation. Together, these results demonstrate that HfN PM offer a robust, scalable, and polarization-programmable platform for next-generation optical encryption and secure information technologies.

Polarization-encoded color image encryption with refractory HfN metasurfaces, retaining optical functionality after 900 °C annealing. (a) SEM image of the fabricated polarization-sensitive PM and magnified view showing orthogonally arranged HfN patch antenna metasurfaces in two regions with distinct dimensions (Lx, Ly). (b) Measured reflectance spectra of the two HfN PM regions under x- and y-polarized illumination, revealing distinct LSPR wavelengths at 628 nm and 564 nm. (c) OM image under unpolarized illumination showing a superimposed color pattern that conceals the encoded information. (d) Under x-polarized illumination, the first color channel is selectively revealed, displaying the QR code patterns directly to the website of NTU Physics. (e) Under y-polarized illumination, the second color channel is revealed, and the QR code patterns direct to the lab website. The polarization selectivity enables reliable decryption of encoded information and robust optical encryption.
4 Conclusions
In conclusion, we have demonstrated a robust and thermally stable polarization-sensitive plasmonic platform for optical encryption based on HfN PM that consists of patch antennas. Unlike conventional Au- or Ag-based plasmonic devices, which suffer from low melting points and chemical instability, HfN nanostructures preserve their crystallinity and plasmonic response even after high-temperature annealing (900 °C), ensuring reliable operation under harsh environments. The fabricated rectangular patch antennas exhibit well-defined LSPRs (628 nm and 564 nm) in the visible spectrum and strong polarization selectivity, enabling the construction of a polarization-encoded QR code with two orthogonal color channels. Under x- and y-polarized illumination, the encoded colors can be selectively decrypted; however, under unpolarized light, the superposition of the two channels conceals the information, thereby achieving a secure optical encryption scheme. This reliable polarization-encoded color image approach represents a significant advance for practical information security, anticounterfeiting, and high-temperature nanophotonic applications. By leveraging refractory HfN, we establish PM as an indispensable platform for polarization-encoded optical encryption, offering visible-color plasmonic resonances together with exceptional thermal stability and CMOS compatibility. This key material breakthrough enables robust and reproducible decryption of hidden information even under extreme thermal conditions, setting a new benchmark for secure, polarization-resolved nanophotonic devices and driving the next generation of optical information technologies.
Funding source: National Science and Technology Council
Award Identifier / Grant number: NSTC 114-2112-M-001 -005
Award Identifier / Grant number: NSTC-113-2622-8-002-015-SB
Award Identifier / Grant number: NSTC-114-2124-M-001-011-
Funding source: Academia Sinica
Award Identifier / Grant number: AS-GCS-114-M06
Award Identifier / Grant number: AS-NTU-114-05
Award Identifier / Grant number: AS-TP-113-M02
Acknowledgments
We thank Xing-Hao Lee, Wei-Ren Syong, Li-Chien Chang, Jing-Wei Yang, and Hong-Jhang Syu for their assistance with device fabrication and for the valuable discussions.
-
Research funding: YJL acknowledges funding support from the National Science and Technology Council, Taiwan (Grant No. NSTC 114-2112-M-001-005, NSTC-114-2124-M-001-011-, NSTC-113-2622-8-002-015-SB), as well as from Academia Sinica (Grant No. AS-TP-113-M02, AS-GCS-114-M06, and AS-NTU-114-05).
-
Author contribution: YJL led the project, proposed the idea, and designed all experimental investigations and data analysis. YCC and CYW fabricated the samples, performed the experiments, and analyzed the data. TYP and SSY fabricated and characterized the HfN films. JWC assisted with nanofabrication. YJL revised the manuscript, and all authors discussed the results and contributed to the final version of the manuscript. All authors have accepted responsibility for the entire content of this manuscript and consented to its submission to the journal.
-
Conflict of interest: The authors declare no competing financial interests.
-
Data availability: The datasets analyzed during this study are available from the corresponding author on reasonable request.
-
Supporting information: Supporting Note S1–S5. Correspondence and requests for materials should be addressed to Y.-J. Lu.
References
[1] A. Arbabi, Y. Horie, M. Bagheri, and A. Faraon, “Dielectric metasurfaces for complete control of phase and polarization with subwavelength spatial resolution and high transmission,” Nat. Nanotechnol., vol. 10, no. 11, pp. 937–943, 2015. https://doi.org/10.1038/nnano.2015.186.Search in Google Scholar
[2] J. Lv et al.., “Spatiotemporally modulated full-polarized light emission for multiplexed optical encryption,” Nat. Commun., vol. 15, no. 1, p. 8257, 2024. https://doi.org/10.1038/s41467-024-52358-7.Search in Google Scholar
[3] Z. Feng et al.., “Dynamic multimodal information encryption combining programmable structural coloration and switchable circularly polarized luminescence,” Nat. Commun., vol. 16, no. 1, p. 2264, 2025. https://doi.org/10.1038/s41467-025-57649-1.Search in Google Scholar
[4] J. Park, J.-H. Kang, S. J. Kim, X. Liu, and M. L. Brongersma, “Dynamic reflection phase and polarization control in metasurfaces,” Nano Lett., vol. 17, no. 1, pp. 407–413, 2017. https://doi.org/10.1021/acs.nanolett.6b04378.Search in Google Scholar
[5] Y. Luan et al.., “All-optical polarization encoding and modulation by nonlinear interferometry at the nanoscale,” Light Sci. Appl., vol. 14, no. 1, p. 318, 2025. https://doi.org/10.1038/s41377-025-01948-1.Search in Google Scholar
[6] C. F. Doiron, I. Brener, and A. Cerjan, “Dual-band polarization control with pairwise positioning of polarization singularities in metasurfaces,” Phys. Rev. Lett., vol. 133, no. 21, p. 213802, 2024. https://doi.org/10.1103/physrevlett.133.213802.Search in Google Scholar
[7] P. Zheng et al.., “Metasurface-based key for computational imaging encryption,” Sci. Adv., vol. 7, no. 21, p. eabg0363, 2021. https://doi.org/10.1126/sciadv.abg0363.Search in Google Scholar
[8] H. Ren, X. Fang, J. Jang, J. Bürger, J. Rho, and S. A. Maier, “Complex-amplitude metasurface-based orbital angular momentum holography in momentum space,” Nat. Nanotechnol., vol. 15, no. 11, pp. 948–955, 2020. https://doi.org/10.1038/s41565-020-0768-4.Search in Google Scholar
[9] Y. Lei et al.., “High speed ultrafast laser anisotropic nanostructuring by energy deposition control via near-field enhancement,” Optica, vol. 8, no. 11, pp. 1365–1371, 2021. https://doi.org/10.1364/optica.433765.Search in Google Scholar
[10] G. Yoon, D. Lee, K. T. Nam, and J. Rho, ““Crypto-display” in dual-mode metasurfaces by simultaneous control of phase and spectral responses,” ACS Nano, vol. 12, no. 7, pp. 6421–6428, 2018. https://doi.org/10.1021/acsnano.8b01344.Search in Google Scholar
[11] H. Zhou et al.., “Polarization-encrypted orbital angular momentum multiplexed metasurface holography,” ACS Nano, vol. 14, no. 5, pp. 5553–5559, 2020. https://doi.org/10.1021/acsnano.9b09814.Search in Google Scholar
[12] A. Hassanfiroozi, Y. C. Lu, and P. C. Wu, “Hybrid anapole induced chirality in metasurfaces,” Adv. Mater., vol. 36, no. 46, p. 2410568, 2024. https://doi.org/10.1002/adma.202410568.Search in Google Scholar
[13] M. Song et al.., “Color display and encryption with a plasmonic polarizing metamirror,” Nanophotonics, vol. 7, no. 1, pp. 323–331, 2018. https://doi.org/10.1515/nanoph-2017-0062.Search in Google Scholar
[14] S. A. Maier, M. L. Brongersma, P. G. Kik, S. Meltzer, A. A. Requicha, and H. A. Atwater, “Plasmonics–a route to nanoscale optical devices,” Adv. Mater., vol. 13, no. 19, pp. 1501–1505, 2001. Available at: https://doi.org/10.1002/1521-4095(200110)13:19<1501::aid-adma1501>3.0.co;2-z.10.1002/1521-4095(200110)13:19<1501::AID-ADMA1501>3.0.CO;2-ZSearch in Google Scholar
[15] W. L. Barnes, A. Dereux, and T. W. Ebbesen, “Surface plasmon subwavelength optics,” Nature, vol. 424, no. 6950, pp. 824–830, 2003. https://doi.org/10.1038/nature01937.Search in Google Scholar
[16] V. Z. Anatoly and I. S. Igor, “Near-field photonics: surface plasmon polaritons and localized surface plasmons,” J. Opt. A., vol. 5, no. 4, p. S16, 2003. https://doi.org/10.1088/1464-4258/5/4/353.Search in Google Scholar
[17] R. H. Ritchie, “Plasma losses by fast electrons in thin films,” Phys. Rev., vol. 106, no. 5, pp. 874–881, 1957. https://doi.org/10.1103/physrev.106.874.Search in Google Scholar
[18] D. K. Gramotnev and S. I. Bozhevolnyi, “Plasmonics beyond the diffraction limit,” Nat. Photonics, vol. 4, no. 2, pp. 83–91, 2010. https://doi.org/10.1038/nphoton.2009.282.Search in Google Scholar
[19] W. L. Barnes, “Surface plasmon–polariton length scales: a route to sub-wavelength optics,” J. Opt. A., vol. 8, no. 4, p. S87, 2006. https://doi.org/10.1088/1464-4258/8/4/s06.Search in Google Scholar
[20] S. Memarzadeh, J. Kim, Y. Aytac, T. E. Murphy, and J. N. Munday, “Surface plasmon assisted control of hot-electron relaxation time,” Optica, vol. 7, no. 6, pp. 608–612, 2020. https://doi.org/10.1364/optica.385959.Search in Google Scholar
[21] M. N. Gadalla, K. Chaudhary, C. M. Zgrabik, F. Capasso, and E. L. Hu, “Imaging of surface plasmon polaritons in low-loss highly metallic titanium nitride thin films in visible and infrared regimes,” Opt. Express, vol. 28, no. 10, pp. 14536–14546, 2020. https://doi.org/10.1364/oe.391482.Search in Google Scholar
[22] K. Kumar, H. Duan, R. S. Hegde, S. C. W. Koh, J. N. Wei, and J. K. W. Yang, “Printing colour at the optical diffraction limit,” Nat. Nanotechnol., vol. 7, no. 9, pp. 557–561, 2012. https://doi.org/10.1038/nnano.2012.128.Search in Google Scholar
[23] A. Kristensen et al.., “Plasmonic colour generation,” Nat. Rev. Mater., vol. 2, no. 1, p. 16088, 2016. https://doi.org/10.1038/natrevmats.2016.88.Search in Google Scholar
[24] M. W. Knight, H. Sobhani, P. Nordlander, and N. J. Halas, “Photodetection with active optical antennas,” Science, vol. 332, no. 6030, pp. 702–704, 2011. https://doi.org/10.1126/science.1203056.Search in Google Scholar
[25] K.-T. Lin, H.-L. Chen, Y.-S. Lai, and C.-C. Yu, “Silicon-based broadband antenna for high responsivity and polarization-insensitive photodetection at telecommunication wavelengths,” Nat. Commun., vol. 5, no. 1, pp. 1–10, 2014. https://doi.org/10.1038/ncomms4288.Search in Google Scholar
[26] Q. Shen, A. M. Boyce, G. Yang, and M. H. Mikkelsen, “Polarization-controlled nanogap cavity with dual-band and spatially overlapped resonances,” ACS Photonics, vol. 6, no. 8, pp. 1916–1921, 2019. https://doi.org/10.1021/acsphotonics.9b00851.Search in Google Scholar
[27] S.-H. Huang et al.., “Microcavity-assisted multi-resonant metasurfaces enabling versatile wavefront engineering,” Nat. Commun., vol. 15, no. 1, pp. 9658–11, 2024. https://doi.org/10.1038/s41467-024-54057-9.Search in Google Scholar
[28] S. Lal, S. Link, and N. J. Halas, “Nano-optics from sensing to waveguiding,” Nat. Photonics, vol. 1, no. 11, pp. 641–648, 2007. https://doi.org/10.1038/nphoton.2007.223.Search in Google Scholar
[29] Y.-H. Hsieh et al.., “Perovskite quantum dot lasing in a gap-plasmon nanocavity with ultralow threshold,” ACS Nano, vol. 14, no. 9, pp. 11670–11676, 2020. https://doi.org/10.1021/acsnano.0c04224.Search in Google Scholar
[30] C.-Y. Wu et al.., “Plasmonic green nanolaser based on a metal–oxide–semiconductor structure,” Nano Lett., vol. 11, no. 10, pp. 4256–4260, 2011. https://doi.org/10.1021/nl2022477.Search in Google Scholar
[31] N. Yu et al.., “Small-divergence semiconductor lasers by plasmonic collimation,” Nat. Photonics, vol. 2, no. 9, pp. 564–570, 2008. https://doi.org/10.1038/nphoton.2008.152.Search in Google Scholar
[32] Y.-J. Lu et al.., “Upconversion plasmonic lasing from an organolead trihalide perovskite nanocrystal with low threshold,” ACS Photonics, vol. 8, no. 1, pp. 335–342, 2021. https://doi.org/10.1021/acsphotonics.0c01586.Search in Google Scholar
[33] Y.-Y. Wang et al.., “Plasmon-enhanced exciton relocalization in quasi-2D perovskites for low-threshold room-temperature plasmonic lasing,” Sci. Adv., vol. 11, no. 19, p. eadu6824, 2025. https://doi.org/10.1126/sciadv.adu6824.Search in Google Scholar
[34] H.-Y. Lan et al.., “Gate-tunable plasmon-enhanced photodetection in a monolayer MoS2 phototransistor with ultrahigh photoresponsivity,” Nano Lett., vol. 21, no. 7, pp. 3083–3091, 2021. https://doi.org/10.1021/acs.nanolett.1c00271.Search in Google Scholar
[35] M. A. Nazirzadeh, F. B. Atar, B. B. Turgut, and A. K. Okyay, “Random sized plasmonic nanoantennas on Silicon for low-cost broad-band near-infrared photodetection,” Sci. Rep., vol. 4, no. 1, pp. 1–5, 2014. https://doi.org/10.1038/srep07103.Search in Google Scholar
[36] H.-J. Syu, H.-C. Chuang, M.-J. Lin, C.-C. Cheng, P.-J. Huang, and C.-F. Lin, “Ultra-broadband photoresponse of localized surface plasmon resonance from Si-based pyramid structures,” Photonics Res., vol. 7, no. 10, pp. 1119–1126, 2019. https://doi.org/10.1364/prj.7.001119.Search in Google Scholar
[37] W.-R. Syong et al.., “Enhanced photogating gain in scalable MoS2 plasmonic photodetectors via resonant plasmonic metasurfaces,” ACS Nano, vol. 18, no. 7, pp. 5446–5456, 2024. https://doi.org/10.1021/acsnano.3c10390.Search in Google Scholar
[38] J.-W. Yang et al.., “Nanoscale gap-plasmon-enhanced superconducting photon detectors at single-photon level,” Nano Lett., vol. 23, no. 24, pp. 11387–11394, 2023. https://doi.org/10.1021/acs.nanolett.3c01703.Search in Google Scholar
[39] H. A. Atwater and A. Polman, “Plasmonics for improved photovoltaic devices,” Nat. Mater., vol. 9, no. 10, pp. 205–213, 2010. https://doi.org/10.1038/nmat2629.Search in Google Scholar
[40] C. Clavero, “Plasmon-induced hot-electron generation at nanoparticle/metal-oxide interfaces for photovoltaic and photocatalytic devices,” Nat. Photonics, vol. 8, no. 2, pp. 95–103, 2014. https://doi.org/10.1038/nphoton.2013.238.Search in Google Scholar
[41] J. N. Anker, W. P. Hall, O. Lyandres, N. C. Shah, J. Zhao, and R. P. Van Duyne, “Biosensing with plasmonic nanosensors,” Nat. Mater., vol. 7, no. 6, pp. 442–453, 2008. https://doi.org/10.1038/nmat2162.Search in Google Scholar
[42] S.-C. Lo, S.-H. Wang, T.-W. Chang, K.-L. Lee, R.-L. Chern, and P.-K. Wei, “Dual gold-nanoslit electrodes for ultrasensitive detection of Antigen–antibody reactions in electrochemical surface plasmon resonance,” ACS Sensors, vol. 7, no. 9, pp. 2597–2605, 2022. https://doi.org/10.1021/acssensors.2c00850.Search in Google Scholar
[43] Y. Chen, X. Yang, and J. Gao, “3D Janus plasmonic helical nanoapertures for polarization-encrypted data storage,” Light Sci. Appl., vol. 8, no. 1, pp. 1–9, 2019. https://doi.org/10.1038/s41377-019-0156-8.Search in Google Scholar
[44] D. Frese, Q. Wei, Y. Wang, L. Huang, and T. Zentgraf, “Nonreciprocal asymmetric polarization encryption by layered plasmonic metasurfaces,” Nano Lett., vol. 19, no. 6, pp. 3976–3980, 2019. https://doi.org/10.1021/acs.nanolett.9b01298.Search in Google Scholar
[45] M. P. Knudson, R. Li, D. Wang, W. Wang, R. D. Schaller, and T. W. Odom, “Polarization-dependent lasing behavior from low-symmetry nanocavity arrays,” ACS Nano, vol. 13, no. 7, pp. 7435–7441, 2019. https://doi.org/10.1021/acsnano.9b01142.Search in Google Scholar
[46] M. Song, Z. A. Kudyshev, H. Yu, A. Boltasseva, V. M. Shalaev, and A. V. Kildishev, “Achieving full-color generation with polarization-tunable perfect light absorption,” Opt. Mater. Express, vol. 9, no. 2, pp. 779–787, 2019. https://doi.org/10.1364/ome.9.000779.Search in Google Scholar
[47] M. Song et al.., “Enabling optical steganography, data storage, and encryption with plasmonic colors,” Laser Photon. Rev., vol. 15, no. 3, p. 2000343, 2021. https://doi.org/10.1002/lpor.202000343.Search in Google Scholar
[48] W. Li et al.., “Refractory plasmonics with titanium nitride: broadband metamaterial absorber,” Adv. Mater., vol. 26, no. 47, pp. 7959–7965, 2014. https://doi.org/10.1002/adma.201401874.Search in Google Scholar
[49] S. H. C. Askes, N. J. Schilder, E. Zoethout, A. Polman, and E. C. Garnett, “Tunable plasmonic HfN nanoparticles and arrays,” Nanoscale, vol. 11, no. 42, pp. 20252–20260, 2019. https://doi.org/10.1039/c9nr07683b.Search in Google Scholar
[50] U. Guler, V. M. Shalaev, and A. Boltasseva, “Nanoparticle plasmonics: going practical with transition metal nitrides,” Mater. Today, vol. 18, no. 4, pp. 227–237, 2015. https://doi.org/10.1016/j.mattod.2014.10.039.Search in Google Scholar
[51] Z.-Y. Chiao et al.., “Full-color generation enabled by refractory plasmonic crystals,” Nanophotonics, vol. 11, no. 12, pp. 2891–2899, 2022. https://doi.org/10.1515/nanoph-2022-0071.Search in Google Scholar PubMed PubMed Central
[52] G. V. Naik, V. M. Shalaev, and A. Boltasseva, “Alternative plasmonic materials: beyond gold and silver,” Adv. Mater., vol. 25, no. 24, pp. 3264–3294, 2013. https://doi.org/10.1002/adma.201205076.Search in Google Scholar PubMed
[53] A. Boltasseva and H. A. Atwater, “Low-loss plasmonic metamaterials,” Science, vol. 331, no. 6015, pp. 290–291, 2011. https://doi.org/10.1126/science.1198258.Search in Google Scholar PubMed
[54] U. Guler, A. Boltasseva, and V. M. Shalaev, “Refractory plasmonics,” Science, vol. 344, no. 6181, pp. 263–264, 2014. https://doi.org/10.1126/science.1252722.Search in Google Scholar PubMed
[55] Y.-J. Lu et al.., “Dynamically controlled Purcell enhancement of visible spontaneous emission in a gated plasmonic heterostructure,” Nat. Commun., vol. 8, no. 1, p. 1631, 2017. https://doi.org/10.1038/s41467-017-01870-0.Search in Google Scholar PubMed PubMed Central
[56] W. Haynes et al.., Handbook of Chemistry and Physics, 97th print edition, Boca Raton, CRC Press, 2017.Search in Google Scholar
[57] M.-J. Yu et al.., “Plasmon-enhanced solar-driven hydrogen evolution using titanium nitride metasurface broadband absorbers,” ACS Photonics, vol. 8, no. 11, pp. 3125–3132, 2021. https://doi.org/10.1021/acsphotonics.1c00927.Search in Google Scholar
[58] F. Wang and Y. R. Shen, “General properties of local plasmons in metal nanostructures,” Phys. Rev. Lett., vol. 97, no. 20, p. 206806, 2006. https://doi.org/10.1103/physrevlett.97.206806.Search in Google Scholar
[59] J. Lindström, L. I. Johansson, P. E. S. Persson, A. Callens, D. S. L. Law, and A. N. Christensen, “Electronic structure of HfN0.93 (100) studied by angle-resolved photoemission,” Phys. Rev. B, vol. 39, no. 6, pp. 3599–3604, 1989. https://doi.org/10.1103/physrevb.39.3599.Search in Google Scholar PubMed
[60] A. Arranz, “Synthesis of hafnium nitride films by 0.5–5 keV nitrogen implantation of metallic Hf: an X-ray photoelectron spectroscopy and factor analysis study,” Surf. Sci., vol. 563, nos. 1–3, pp. 1–12, 2004. https://doi.org/10.1016/j.susc.2004.06.162.Search in Google Scholar
[61] K. H. Kim, R. G. Gordon, A. Ritenour, and D. A. Antoniadis, “Atomic layer deposition of insulating nitride interfacial layers for germanium metal oxide semiconductor field effect transistors with high-κ oxide/tungsten nitride gate stacks,” Appl. Phys. Lett., vol. 90, no. 21, p. 212104, 2007. https://doi.org/10.1063/1.2741609.Search in Google Scholar
[62] Z. Gu et al.., “Identification and thermodynamic mechanism of the phase transition in hafnium nitride films,” Acta Mater., vol. 90, no. 6, pp. 59–68, 2015. https://doi.org/10.1016/j.actamat.2015.02.026.Search in Google Scholar
[63] A. Chourasia, J. Hickman, R. Miller, G. Nixon, and M. Seabolt, “X-ray photoemission study of the oxidation of hafnium,” Inter. J. Spectro., vol. 2009, no. 1, p. 439065, 2009.10.1155/2009/439065Search in Google Scholar
Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/nanoph-2025-0502).
© 2025 the author(s), published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.