Optics Communications最新文献

英文中文

Polarization-multiplexed fiber grating sensor with enhanced birefringence for shape sensing applications 偏振多路光纤光栅传感器增强双折射形状传感应用

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-19 DOI: 10.1016/j.optcom.2026.132928

Chupeng Lu , Xiaoyang Li , Xinyu Yang , Xinhang Xu , Hang Jiang , Tao Geng , Libo Yuan

In this paper, a polarization-multiplexed long-period fiber grating (LPFG) sensor capable of simultaneous curvature, torsion, and temperature measurements is proposed for fiber-based shape sensing. The sensor is fabricated by CO₂ laser inscription on a pre-twisted composite fiber structure comprising a polarization-maintaining fiber (PMF) fusion-spliced between two single-mode fibers (SMFs). The synergistic effects of pre-twist and CO₂ laser induced thermal stress significantly modify the internal stress distribution of the PMF, thereby enhancing its elliptical birefringence. This enhancement results in pronounced polarization-dependent resonant wavelengths and sensitivities. The fabricated PMF-LPFG exhibits distinct resonant wavelengths of 1547.4 nm and 1525.6 nm when the input light is aligned with the slow axis (0°) and fast axis (90°), respectively. Experimental results demonstrate that the proposed sensor achieves a maximum torsion sensitivity of 2.24 nm/(rad/m) and a maximum curvature sensitivity of 45.68 nm/m⁻¹ at 0° polarization, with a corresponding temperature sensitivity of 108.9 p.m./°C. Owing to its compact structure, high sensitivity, and polarization-multiplexing capability, the proposed sensor demonstrates strong potential for practical three-dimensional shape sensing applications.

本文提出了一种能够同时测量曲率、扭转和温度的偏振复用长周期光纤光栅（LPFG）传感器，用于光纤形状传感。该传感器采用CO2激光刻字技术，在两根单模光纤（smf）之间融合了保偏光纤（PMF）的预扭复合纤维结构上制作。预扭和CO2激光诱导热应力的协同效应显著地改变了PMF的内应力分布，从而增强了其椭圆双折射特性。这种增强导致明显的偏振依赖共振波长和灵敏度。当输入光与慢轴（0°）和快轴（90°）对齐时，所制备的PMF-LPFG的谐振波长分别为1547.4 nm和1525.6 nm。实验结果表明，该传感器在0°极化下的最大扭转灵敏度为2.24 nm/(rad/m)，最大曲率灵敏度为45.68 nm/m−1，相应的温度灵敏度为108.9 pm /°C。该传感器结构紧凑，灵敏度高，具有极化复用能力，在实际三维形状传感应用中具有很强的潜力。

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引用次数: 0

Light-field distribution analysis in reflective ultraviolet communication channels 反射紫外通信信道的光场分布分析

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-12 DOI: 10.1016/j.optcom.2026.132901

Peng Song, Le Li, Chengtao Liu, Lijian Zhang, Hua Guo

To address the intrinsic limitations imposed by the low received signal strength and the consequent restrictions on coverage range, in ultraviolet non-line-of-sight (UV NLOS) communication, this study establishes a three-dimensional spatial light-field distribution model for ultraviolet reflective channels. By integrating bidirectional reflectance distribution function (BRDF) theory with light reflection theory for rough surfaces, we calculate the reflectivity of ultraviolet light reflected from such surfaces and develop a three-stage physical model that characterizes the energy transfer of ultraviolet photons via a reflective surface to a sampling point. A Monte Carlo method is proposed to compute the three-dimensional spatial distribution of the ultraviolet reflection channel. Experimental verification employs a combined micro- and macro-scale approach. At the microscopic level, experiments confirm the accuracy of the BRDF model for cement surfaces within the solar-blind band under varying incident and reflection azimuth angles. At the macroscopic level, field experiments, supplemented by light-field simulations, reveal the effects of LED divergence angle and transmitter elevation angle on the energy distribution of the reflected light-field. The strong correlation between experimental and simulation results verifies the effectiveness of the proposed reflected light-field calculation method. This study provides a new approach for overcoming the distance bottleneck in UV NLOS communication and offers valuable insights for the design of covert communication systems in complex environments.

针对紫外光非视距（UV NLOS）通信中接收信号强度低、覆盖范围受限的固有局限性，建立了紫外光反射信道的三维空间光场分布模型。通过将双向反射分布函数（BRDF）理论与粗糙表面的光反射理论相结合，我们计算了从这些表面反射的紫外光的反射率，并建立了一个三阶段的物理模型，该模型表征了紫外光通过反射表面到采样点的能量转移。提出了一种计算紫外反射通道三维空间分布的蒙特卡罗方法。实验验证采用微观和宏观相结合的方法。在微观层面上，实验证实了BRDF模型在不同入射和反射方位角下对太阳盲带内水泥表面的准确性。在宏观层面，通过现场实验和光场模拟相结合，揭示了LED发散角和光场仰角对反射光场能量分布的影响。实验结果与仿真结果具有较强的相关性，验证了所提反射光场计算方法的有效性。该研究为克服UV NLOS通信中的距离瓶颈提供了一种新的方法，并为复杂环境下隐蔽通信系统的设计提供了有价值的见解。

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引用次数: 0

High-order colliding-pulse mode-locked lase with high power and mode stability for optical I/O technology 用于光I/O技术的高阶碰撞脉冲锁模激光器，具有高功率和模式稳定性

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-12 DOI: 10.1016/j.optcom.2026.132908

Jie Zhao , Zizhuo Li , Zhenxing Sun , Yanqiu Xu , Jin Zhang , Kaifei Tang , Jiaqiang Nie , Rulei Xiao , Xiangfei Chen

In this work, we present a high-order colliding pulse mode-locked lasers (CPML) based on a 500 μm cavity length Fabry-Perot saturable absorber (FP-SA) unit operating in the C-band. The laser employs a high-power epitaxial structure and asymmetric reflectance coatings, featuring a 95 % high-reflective (HR) coating on one facet and a naturally cleaved facet on the other. This design enhances intracavity energy density, optimizes pulse compression, and achieves cavity-length extension and performance refinement through modular multi-stage cascading. We systematically investigate the mode-locking dynamics of the SA-FP unit and cascaded systems (second to fourth order), demonstrating stable generation of optical pulses with 88.2 GHz longitudinal mode spacing and robust stability against current and temperature variations. Furthermore, to enable high-speed transmission on individual comb lines, a four-channel DWDM experiment is conducted at the 4th-order CPML’s central wavelength. Utilizing a thin-film LiNbO₃ Mach-Zehnder interferometer (MZI) modulator, each channel achieve 25 Gb/s non-return-to-zero (NRZ) modulation capability. The proposed high-order CPML architecture serves as a superior comb source for energy-efficient optical interconnects and high-bandwidth data transmission, offering a scalable platform for next-generation photonic systems.

在这项工作中，我们提出了一种高阶碰撞脉冲锁模激光器（CPML），该激光器基于500 μm腔长法布里-珀罗饱和吸收器（FP-SA），工作在c波段。该激光器采用高功率外延结构和非对称反射涂层，其中一面为95%高反射（HR）涂层，另一面为自然切割面。该设计提高了腔内能量密度，优化了脉冲压缩，并通过模块化多级级联实现了腔长扩展和性能优化。我们系统地研究了SA-FP单元和级联系统（二阶到四阶）的锁模动力学，证明了具有88.2 GHz纵向模式间隔的光脉冲的稳定产生以及对电流和温度变化的鲁棒稳定性。此外，为了实现在单个梳线上的高速传输，在四阶CPML的中心波长上进行了四通道DWDM实验。利用薄膜LiNbO3马赫-曾德尔干涉仪（MZI）调制器，每个通道实现25gb /s的不归零（NRZ）调制能力。所提出的高阶CPML架构可作为高能效光互连和高带宽数据传输的优越梳状源，为下一代光子系统提供可扩展的平台。

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引用次数: 0

Crosstalk suppression in mode-division-multiplexing optical switching nodes using a single SOA-based regenerator 基于单一soa再生器的模分复用光交换节点串扰抑制

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-22 DOI: 10.1016/j.optcom.2026.132945

Xinyu Ma, Baojian Wu, Xintong Lu, Yanjun Chen, Yihan Wang, Feng Wen, Kun Qiu

Mode division multiplexing (MDM) technology has been regarded as one of the most effective methods capable of improving fiber transmission capacity. In the case, modal crosstalk in few-mode fibers and nodes would become the potential limiting factor of long-haul fiber transmission and large network coverage. We propose an all-optical crosstalk suppression scheme based on a single semiconductor optical amplifier (SOA), with application to the optical MDM switching nodes. The feasibility of this scheme is experimentally demonstrated by optimizing the injection current, pump-to-signal power ratio (PSPR) and input signal-to-crosstalk ratio (SXR). The suppression performance for identical-frequency crosstalk is evaluated by inserting the single-SOA regenerator into a two-mode switching node and the error vector magnitude (EVM) for 10 Gb/s QPSK signals can be reduced by 13 % relative to the case without regeneration when the input SXR is 6 dB. On the basis of the single-SOA regenerator, the cascading performance of switching nodes and a double-stage SOA scheme for wavelength preserving are also discussed by simulation. It is shown that the SOA-based crosstalk suppression scheme is applied to the future multi-dimensional switching nodes and networks.

模分复用（MDM）技术被认为是提高光纤传输容量的最有效方法之一。在这种情况下，在少模光纤和节点中的模态串扰将成为长距离光纤传输和大网络覆盖的潜在限制因素。提出了一种基于单半导体光放大器（SOA）的全光串扰抑制方案，并应用于光MDM交换节点。通过优化注入电流、泵信功率比（PSPR）和输入信串比（SXR），实验验证了该方案的可行性。通过在双模交换节点中插入单soa再生器对同频串扰的抑制性能进行了评估，当输入SXR为6 dB时，10gb /s QPSK信号的误差矢量幅度（EVM）相对于不再生的情况可降低13%。在单SOA再生器的基础上，通过仿真讨论了交换节点的级联性能和双级SOA保波方案。结果表明，基于soa的串扰抑制方案适用于未来的多维交换节点和网络。

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引用次数: 0

Accurate capture and display of real-world three-dimensional scene using fringe projection and deep-learning 使用条纹投影和深度学习准确捕获和显示真实世界的三维场景

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-29 DOI: 10.1016/j.optcom.2026.132963

Mengmeng Shen , Jiacheng Luo , Fengjuan Chen , Haihua Zhang , Yong Li

It plays a crucial role in virtual reality (VR) and augmented reality (AR) to accurately capture and display real-world three-dimensional (3D) scene. In order to achieve this goal, we propose a new method based on deep-learning to convert deformed fringe in fringe projection profilometry (FPP) to computer-generated hologram (CGH). Three deep neural networks (DNNs) with the same basic structure are designed and trained with three datasets. The intensity information of real scene from a deformed fringe pattern is obtained with the first deep neural network (DNN1) and the phase of deformed fringe is obtained with the second one (DNN2). The hologram is generated from intensity information and phase difference of deformed fringe with the third deep neural network (DNN3). The phase difference is obtained by subtracting reference phase from absolute phase which is obtained with the three-frequency heterodyne algorithm. To improve the efficiency of dataset construction, a new transfer learning approach is proposed. The DNNs are firstly trained with datasets consisting of massive high-fidelity simulated data and then trained with datasets consisting of a small amount of real data. The simulated data are generated using the mathematical model of FPP system and the parameters obtained by system calibration, with ambient illumination, shadows and occlusion considered. Experimental results demonstrate the effectiveness and reliability of the proposed method.

在虚拟现实（VR）和增强现实（AR）中，准确捕捉和显示真实世界的三维场景起着至关重要的作用。为了实现这一目标，我们提出了一种基于深度学习的将条纹投影轮廓术（FPP）中的变形条纹转换为计算机生成全息图（CGH）的新方法。利用三个数据集设计并训练了三个具有相同基本结构的深度神经网络。用第一种深度神经网络（DNN1）获取变形条纹图像的真实场景强度信息，用第二种深度神经网络（DNN2）获取变形条纹的相位信息。利用第三次深度神经网络（DNN3）从变形条纹的强度信息和相位差生成全息图。用三频外差算法得到的绝对相位减去参考相位得到相位差。为了提高数据集构建的效率，提出了一种新的迁移学习方法。dnn首先使用大量高保真模拟数据集进行训练，然后使用少量真实数据集进行训练。在考虑环境光照、阴影和遮挡的情况下，利用FPP系统的数学模型和系统标定得到的参数生成仿真数据。实验结果证明了该方法的有效性和可靠性。

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引用次数: 0

Multimodal ultrahigh-Q lattice resonances supported by a U-shaped nanoarray integrated on a dielectric waveguide 由集成在介质波导上的u形纳米阵列支持的多模态超高q晶格共振

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-13 DOI: 10.1016/j.optcom.2026.132912

Songchan Cui , Hang Xu , Boyan Sun , Xiaohong Hu , Chang Niu , Hua Gao

Multimodal high-Q resonances are crucial for various advanced photonic devices. Surface lattice resonances (SLRs) represent a prominent approach for achieving high-Q resonances. However, their practical application is constrained by the stringent requirement for refractive-index-matching and the limited number of resonant modes. In this work, we propose a structure that supports multiple ultrahigh-Q guided-mode lattice resonances (GLRs) in an asymmetric environment by integrating a U-shaped split-ring resonator (U-SRR) array on a dielectric waveguide. By increasing the waveguide thickness, this platform not only readily achieves Q-factors exceeding 10⁴, substantially surpassing conventional SLRs, but also increases the number of GLRs in groups. We theoretically elucidate the excitation mechanism of GLRs and the physical origin of their high Q-factors. Based on this mechanism, analytical formulas were derived to reliably predict the resonant wavelengths of these multiple-order GLRs. This work provides a straightforward method for achieving tunable, high-Q multimodal resonances, promising applications in advanced nanophotonic devices such as multimodal lasers and multiparameter sensors.

多模态高q共振对于各种先进的光子器件至关重要。表面晶格共振（slr）是实现高q共振的重要方法。然而，它们的实际应用受到严格的折射率匹配要求和有限的谐振模式的限制。在这项工作中，我们提出了一种在不对称环境中支持多个超高q导模晶格共振（glr）的结构，该结构通过在介质波导上集成u形分裂环谐振器（U-SRR）阵列。通过增加波导厚度，该平台不仅可以轻松实现超过104的q因子，大大超过传统的单反，而且还可以增加glr的成组数量。我们从理论上阐明了glr的激发机制及其高q因子的物理来源。基于这一机理，推导出了可靠预测这些多阶glr谐振波长的解析公式。这项工作为实现可调谐的高q多模态共振提供了一种简单的方法，在先进的纳米光子器件如多模态激光器和多参数传感器中有很好的应用前景。

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引用次数: 0

Long-exposure fried parameter and coherence radius through von Karman atmospheric turbulence 冯·卡门大气湍流的长曝光油炸参数和相干半径

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-14 DOI: 10.1016/j.optcom.2026.132895

Haoxin Tian , Hanyu Zhan , David Voelz , Lejun Chen , Jizhou Lai

The Fried parameter and coherence radius are two fundamental measures that characterize the spatial resolution effects of atmospheric turbulence on optical propagation and imaging. Here, their calculations for spherical and plane waves in von Karman turbulence are theoretical developed that includes the effects of both nonzero inner scale and finite outer scale. The simple analytic expressions are also derived for making the results easy to use. Then the split-step wave optics simulations are performed for modeling the long-exposure point spread function and mutual coherence function through von Karman turbulence for comparison. The expressions and numerical results agree well throughout the weak to strong turbulent scattering regimes.

弗里德参数和相干半径是表征大气湍流对光学传播和成像的空间分辨率影响的两个基本指标。在这里，他们对冯卡门湍流中球形和平面波的计算是理论发展，包括非零内尺度和有限外尺度的影响。为了使结果易于使用，还导出了简单的解析表达式。在此基础上，利用分步波光学模拟方法模拟了von Karman湍流下的长曝光点扩展函数和互相干函数，并进行了比较。在弱到强湍流散射区，表达式与数值结果吻合较好。

引用次数: 0

Classical optical analogues of excited-state quantum phase transitions in a squeezing-enhanced generalized Lipkin–Meshkov–Glick model 压缩增强广义Lipkin-Meshkov-Glick模型中激发态量子相变的经典光学类似物

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-15 DOI: 10.1016/j.optcom.2026.132910

Chon-Fai Kam

We investigate classical nonlinear optical analogues of excited-state quantum phase transitions (ESQPTs) within a squeezing-enhanced generalized Lipkin–Meshkov–Glick (LMG) model, focusing on polarization dynamics in optical fibers with tetragonal symmetry. Through systematic mapping of coupled-mode equations across crystal symmetries, we identify a novel non-conventional squeezing term that induces classical bifurcations—even without a linear rotor term. These bifurcations, analyzed in detail on the Poincaré sphere, correspond—via established semiclassical correspondence—to singularities in excited-state spectra characteristic of ESQPTs in the quantum LMG counterpart. Our findings highlight deep classical–quantum interplay in optical systems, providing a controllable room-temperature platform for simulating mean-field limits of many-body quantum criticality, with potential applications in quantum metrology and simulation. Full quantum spectral analysis is deferred to future work.

我们在压缩增强广义Lipkin-Meshkov-Glick （LMG）模型中研究了激化态量子相变（ESQPTs）的经典非线性光学类似物，重点研究了具有四方对称的光纤中的偏振动力学。通过对耦合模方程在晶体对称性上的系统映射，我们确定了一种新的非常规压缩项，即使没有线性转子项，也会引起经典分岔。这些分岔，在庞卡勒球上进行了详细的分析，通过建立的半经典对应，对应于量子LMG对应物中esqpt激发态光谱特征的奇点。我们的研究结果强调了光学系统中经典-量子的深层相互作用，为模拟多体量子临界的平均场极限提供了一个可控的室温平台，在量子计量和模拟中具有潜在的应用前景。全量子光谱分析将推迟到未来的工作中。

引用次数: 0

Cross-modality scattering-imaging-based encryption by deep learning 基于深度学习的跨模态散射成像加密

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-16 DOI: 10.1016/j.optcom.2026.132926

Yi Qin , Yueyou Li , Qiong Gong , Liming Zhang , Chao Liu , Wei Liu

The scattering-imaging-based encryption (SIBE) employs spatially incoherent illumination and exploits the optical memory effect (OME) inherent in the scattering media, offering significant benefits such as immunity to speckle noise and highly compact system designs. Nevertheless, the OME imposes a constraint on the maximum plaintext size that the cryptosystem can process in a single acquisition. The present research indicates that a well-trained deep neural network (DNN) is potentially able to retrieve the plaintext directly from the ciphertext. However, due to its large size, the DNN is inconvenient for transmission and distribution, making it unsuitable for use as the secret key. In this paper, we propose a cross-modality SIBE (CM-SIBE) approach by employing deep learning. We construct two encryption schemes: a real SIBE (R-SIBE) and a virtual SIBE (V-SIBE). For convenience, their corresponding ciphertexts and PSFs are denoted as R-Ciphertext and R-PSF for the real scheme, and V-Ciphertext and V-PSF for the virtual one, respectively. We encrypt the plaintext with the R-SIBE and take the R-Ciphertext as the final ciphertext. However, we take the V-PSF as the secret key. For successful decryption, we train a DNN to convert the R-Ciphertext into its corresponding V-Ciphertext; the two ciphertexts are derived from the same plaintext. It is important to note that the V-PSF acts as the sole secret key, while the DNN serves as an auxiliary tool. For decryption, an authorized user first transforms the ciphertext into the V-Ciphertext using the DNN. Subsequently, the user deconvolves the V-Ciphertext with the V-PSF to retrieve the original plaintext. Our CM-SIBE ensures high-quality decryption of large-sized plaintexts that surpass the OME limit of the diffuser, while also circumventing the need for a bulky DNN as the secret key. Furthermore, our method is robust against known ciphertext-only (COA), while also demonstrating high resilience to noise and occlusion.

基于散射成像的加密（SIBE）采用空间非相干照明，利用散射介质固有的光记忆效应（OME），具有抗散斑噪声和高度紧凑的系统设计等显著优势。然而，OME对密码系统在一次获取中可以处理的最大明文大小施加了约束。目前的研究表明，训练良好的深度神经网络（DNN）有可能直接从密文中检索明文。但由于DNN的体积较大，不便于传输和分发，不适合作为密钥使用。在本文中，我们提出了一种采用深度学习的跨模态SIBE （CM-SIBE）方法。我们构造了两种加密方案：实SIBE （R-SIBE）和虚SIBE （V-SIBE）。为方便起见，它们对应的密文和psf对于真实方案分别记为R-Ciphertext和R-PSF，对于虚拟方案分别记为V-Ciphertext和V-PSF。我们使用R-SIBE对明文进行加密，并将r -密文作为最终密文。但是，我们采用V-PSF作为秘钥。为了成功解密，我们训练DNN将r -密文转换为相应的v -密文；这两个密文是从同一个明文中派生出来的。重要的是要注意，V-PSF作为唯一的密钥，而DNN作为辅助工具。对于解密，授权用户首先使用DNN将密文转换为V-Ciphertext。随后，用户将v -密文与V-PSF反卷积以检索原始明文。我们的CM-SIBE确保了超过扩散器的OME限制的大尺寸明文的高质量解密，同时也避免了对庞大的DNN作为密钥的需要。此外，我们的方法对已知的纯密文（COA）具有鲁棒性，同时也显示出对噪声和遮挡的高弹性。

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引用次数: 0

Realizing mid-infrared refractive index and temperature sensing of an all-dielectric metasurface based on Q-BIC 基于Q-BIC的全介质超表面中红外折射率和温度传感的实现

IF 2.5 3区物理与天体物理 Q2 OPTICS

Optics Communications

Pub Date : 2026-06-01 Epub Date: 2026-01-22 DOI: 10.1016/j.optcom.2026.132944

Xingyu Feng, Xinyan Wang, Yaowei Dai, Peng Gao, Cong Chen, Ying Zhang, Junfeng Fang, Hongfei Ma, Qiyao Wang, Hai Liu

The absorption or resonance wavelengths of certain gas molecules and biological macromolecules lie within the mid-infrared band, leading many researchers to focus on sensor design for this spectral region. However, current mid-infrared metasurface sensors typically possess only a single refractive index (RI) sensing parameter, with limited research dedicated to dual-parameter sensing of both RI and temperature. Furthermore, Quasi-Bound States in the Continuum (Q-BIC) can enhance light-matter interactions, thereby improving metasurface sensing performance. Therefore, this study proposes a high-performance, all-dielectric metasurface-based dual-parameter sensor operating in the mid-infrared band, leveraging Q-BIC. A simple perforation design breaks the structural symmetry, forming a magnetic dipole-dominated Q-BIC, which correlates the environmental RI with the material intrinsic RI, enabling exceptional dual-parameter sensing in the mid-infrared. For RI sensing, the maximum sensitivity achieved is 510.12 nm/RIU, the highest Figure of Merit (FoM) reaches 739.37 RIU⁻¹, and the maximum Quality factor (Q-factor) is 11189.17. For temperature sensing, the maximum sensitivity is 0.30376 nm/°C, the highest FoM reaches 0.2217 °C^-1, and the maximum Q-factor is 2496.54, both demonstrating excellent linear responses. Additionally, this structure can function as a polarization-dependent optical switch, with a transmission difference reaching 0.99448. This metasurface sensor holds significant application potential in fields such as security monitoring and biomedical detection.

某些气体分子和生物大分子的吸收或共振波长位于中红外波段，这使得许多研究人员将重点放在该光谱区域的传感器设计上。然而，目前的中红外超表面传感器通常只有单一的折射率（RI）传感参数，对RI和温度双参数传感的研究有限。此外，连续介质中的准束缚态（Q-BIC）可以增强光-物质相互作用，从而提高超表面传感性能。因此，本研究提出了一种基于Q-BIC的高性能、全介质超表面双参数传感器，工作在中红外波段。简单的射孔设计打破了结构的对称性，形成了磁偶极子主导的Q-BIC，将环境RI与材料固有RI联系起来，实现了中红外特殊的双参数传感。对于RI传感，实现的最大灵敏度为510.12 nm/RIU，最高品质因数（FoM）达到739.37 RIU−1，最大质量因子（Q-factor）为11189.17。对于温度传感，最大灵敏度为0.30376 nm/°C，最高FoM达到0.2217°C-1，最大q因子为2496.54，均表现出良好的线性响应。此外，该结构还可以作为偏振相关的光开关，传输差达到0.99448。这种超表面传感器在安全监测和生物医学检测等领域具有重要的应用潜力。

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