Infrared Physics & Technology最新文献_第3页

Study on the influence Laws of different Oxygen-Containing oxidants on the Low-Pressure combustion and radiation performance of MgB2/PTFE type infrared radiation agents 不同含氧氧化剂对MgB2/PTFE型红外辐射剂低压燃烧及辐射性能的影响规律研究

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-01-31 DOI: 10.1016/j.infrared.2026.106440

Jun Huang, Yichao Liu, Zefeng Guo, Tianyu Ren, Yujie Ji, Chengkun Cai, Hua Guan

This study systematically investigated the influence of different oxygen-containing oxidants (NaNO₃, KNO₃, Ba(NO₃) ₂) on the combustion performance and radiation characteristics of MgB₂/PTFE infrared radiation agents under low-pressure conditions. Through thermal analysis (TG-DTA), combustion product characterization (XRD, SEM), and low-pressure combustion experiments (5–––101 kPa), it was found that the decomposition temperature of the oxidants significantly affected the combustion stability and reaction pathway of the agent in the low-pressure environment. NaNO₃ and KNO₃, due to their lower decomposition temperatures (374.5 ℃ and 408 ℃ respectively), could still promote the efficient reaction of MgB₂ at 5 kPa low pressure, significantly improving the combustion stability and radiation area; while Ba(NO₃) ₂ had a higher decomposition temperature (577.8 ℃), its system could not burn stably at 5 kPa, but by generating high-emissivity condensed-phase products (such as BaO, BaB₆), it effectively enhanced the infrared radiation intensity in the α (1.3–––3 μm), β (3–––5 μm), and γ (8–––14 μm) wavelength bands under low-pressure conditions. The study further revealed the reaction mechanisms of each system: NaNO₃/KNO₃ mainly produced alkali metal borates (such as Na₂B₄O₇·H₂O, K_3.67B₄O₅ (OH) ₅), while the Ba(NO₃) ₂ system formed BaB₆ through complex phase changes. The results showed that by regulating the type of oxidant, the combustion efficiency and radiation performance of MgB₂/PTFE agents under low pressure could be optimized, providing key theoretical and experimental basis for the design of high-altitude infrared decoy agents.

本研究系统研究了不同含氧氧化剂（NaNO3、KNO3、Ba(NO3) 2）对MgB2/PTFE红外辐射剂在低压条件下燃烧性能和辐射特性的影响。通过热分析（TG-DTA）、燃烧产物表征（XRD、SEM）和低压燃烧实验（5—101 kPa），发现氧化剂的分解温度显著影响剂在低压环境下的燃烧稳定性和反应途径。NaNO3和KNO3由于其较低的分解温度（分别为374.5℃和408℃），在5 kPa低压下仍能促进MgB2的高效反应，显著提高了燃烧稳定性和辐射面积；Ba(NO3) 2具有较高的分解温度（577.8℃），其体系在5 kPa下不能稳定燃烧，但通过生成高发射率凝聚相产物（如BaO、BaB6），在低压条件下有效增强了α（1.3—3 μm）、β（3—5 μm）和γ（8—14 μm）波段的红外辐射强度。研究进一步揭示了各体系的反应机理：NaNO3/KNO3主要生成碱金属硼酸盐（如Na2B4O7·H2O、K3.67B4O5 (OH) 5）， Ba(NO3) 2体系通过复杂相变生成BaB6。结果表明，通过调节氧化剂的种类，可以优化MgB2/PTFE阻燃剂在低压下的燃烧效率和辐射性能，为高空红外诱捕剂的设计提供关键的理论和实验依据。

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引用次数: 0

An improved YOLO-based algorithm for infrared small object detection 一种改进的基于yolo的红外小目标检测算法

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-02-12 DOI: 10.1016/j.infrared.2026.106443

Cheng Liu, Ben Hao, Qihang Zheng, Zhou Yang, Jingqian Gu, Lin Wang

Infrared target detection serves as an effective complement to the visible light spectrum, providing a valuable foundation for achieving all-weather target detection. However, when processing infrared images characterized by low signal-to-noise ratios and lacking color, texture, and shape information, traditional target recognition networks exhibit limited capabilities in extracting and fusing key features, suffer from poor real-time performance, and require improvement in identifying small infrared targets against complex backgrounds. To address these challenges, this paper proposes the CDH-YOLO network for target detection in UAV infrared remote sensing imagery. First, the backbone architecture of YOLOv8s is redesigned by decomposing context extraction into two steps: region-based and semantic residual extraction. This modular design reduces task complexity; residual connections minimize redundant computations and optimize gradient propagation, thereby enhancing real-time performance for infrared target detection. Second, to address the challenges of blurred contours and difficult shape feature extraction in low-altitude remote sensing infrared images, the Spatial Pyramid Pooling (SPP) module of the backbone network is enhanced. By effectively modeling long-range dependencies in feature maps, the network is guided to focus on target shape information, providing highly discriminative features for subsequent recognition and localization. Finally, the Neck section integrates a lightweight context and spatial feature calibration network. Based on pooling and sampling, it corrects relevant information, enhancing detection accuracy while maintaining real-time performance. Comprehensive comparative experiments were conducted on three mainstream infrared datasets to evaluate model performance. When compared against multiple state-of-the-art object detection models, our proposed CDH-YOLO achieved outstanding results with mAP0.5 scores of 76.5%, 70.5%, and 74.8% on the DroneVehicle, OSIV, and HIT-UAV datasets, respectively.

红外目标探测是对可见光光谱的有效补充，为实现全天候目标探测提供了有价值的基础。然而，传统的目标识别网络在处理低信噪比、缺乏颜色、纹理和形状信息的红外图像时，关键特征的提取和融合能力有限，实时性较差，在复杂背景下识别红外小目标的能力有待提高。针对这些挑战，本文提出了用于无人机红外遥感图像目标检测的CDH-YOLO网络。首先，重新设计了YOLOv8s的主干结构，将上下文提取分解为基于区域的提取和语义残差提取两个步骤；这种模块化设计降低了任务的复杂性；残差连接减少了冗余计算，优化了梯度传播，从而提高了红外目标检测的实时性。其次，针对低空遥感红外图像轮廓模糊、形状特征提取困难等问题，对主干网空间金字塔池（SPP）模块进行了改进；通过对特征映射中的远程依赖关系进行有效建模，引导网络关注目标形状信息，为后续的识别和定位提供高度判别性的特征。最后，颈部部分集成了轻量级上下文和空间特征校准网络。通过池化和采样对相关信息进行校正，提高检测精度的同时保持实时性。在三种主流红外数据集上进行了综合对比实验，以评价模型的性能。与多个最先进的目标检测模型相比，我们提出的CDH-YOLO在无人机、OSIV和HIT-UAV数据集上的mAP0.5得分分别为76.5%、70.5%和74.8%，取得了优异的成绩。

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引用次数: 0

Synergistic enhancement and tunability of nonlinear optical response in ITO thin films via carbon nanotube incorporation 碳纳米管掺入ITO薄膜非线性光学响应的协同增强和可调性

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-02-11 DOI: 10.1016/j.infrared.2026.106462

Tingzhen Yan , Chunyan Bai , Ziqi Wang , Ruijin Hong

The tunability and enhancement of the nonlinear optical performance of ITO thin films were successfully realized via decoration with carbon nanotubes (CNTs). The roles exerted by CNTs on the morphological and optical characteristics of as-deposited ITO specimen were systematically probed through the adoption of EDX, ellipsometer, XRD, Raman spectroscopy, spectrophotometer and Z-scan technique, respectively. Depositing CNTs overlayer onto as-deposited ITO films enables broad tuning of the epsilon-near-zero (ENZ) wavelength across the range of 1207 to 1883 nm. Upon the progressive increase in the thickness of ITO films from 100 nm to 200 nm and further to 300 nm, the β values for ITO/CNTs composite films were approximately 3.01, 1.29 and 1.53 times higher than those of the deposited single-layer ITO films, respectively. The Raman results confirmed that the increasing trend of β values is consistent with the variation trend of internal defects in the ITO/CNTs composite films. These results indicate a synergistic competitive effect between ITO and CNTs.

通过碳纳米管（CNTs）的修饰，成功地实现了ITO薄膜非线性光学性能的可调性和增强。采用EDX、椭偏仪、XRD、拉曼光谱、分光光度计和z扫描技术，系统探讨了CNTs对沉积ITO样品形貌和光学特性的影响。在沉积的ITO薄膜上沉积碳纳米管，可以在1207至1883 nm的范围内广泛调谐epsilon-near-zero （ENZ）波长。随着ITO膜厚度从100 nm逐渐增加到200 nm，再增加到300 nm， ITO/CNTs复合膜的β值分别比单层ITO膜高约3.01、1.29和1.53倍。Raman结果证实，β值的增加趋势与ITO/CNTs复合膜内部缺陷的变化趋势一致。这些结果表明ITO和CNTs之间存在协同竞争效应。

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引用次数: 0

Enhanced near-infrared emission in Pr3+/ Cr3+ co-doped Ca3Sc2Ge3O12:Cr3+ phosphor for biometric illumination Pr3+/ Cr3+共掺杂Ca3Sc2Ge3O12:Cr3+荧光粉增强近红外发射，用于生物识别照明

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-03-06 DOI: 10.1016/j.infrared.2026.106495

Weiquan Zeng , Shuang Zhao , Changfu Xu , Haiyan Shi , Yan Yuan , Xiaohong Zhang , Zhaoqi Liu , Pengbo Lyu , Lizhong Sun

Near-infrared (NIR) Cr³⁺-doped phosphors are promising candidates for biometric illumination, yet their practical use is often restricted by limited luminescence efficiency. In this work, Ca₃Sc₂Ge₃O₁₂:Cr³⁺ (CSG:Cr³⁺) and Pr³⁺/Cr³⁺ co-doped Ca₃Sc₂Ge₃O₁₂ (CSG:Cr³⁺,Pr³⁺) phosphors were synthesized via a high-temperature solid-state reaction. Pr³⁺ ions acted as sensitizers and effectively enhanced the Cr³⁺ emission through energy transfer, enabling the co-doped sample to achieve an internal quantum efficiency of 56.8% and an external quantum efficiency of 7.72%. An NIR pc-LED device was further fabricated by combining the CSG:Cr³⁺,Pr³⁺ phosphor with a blue LED chip, which delivered stable photoelectrical conversion under a 100 mA driving current. The device was successfully used for iris and vein imaging, demonstrating its applicability for biometric acquisition.

近红外（NIR） Cr3+掺杂荧光粉是生物识别照明的理想选择，但其实际应用往往受到有限的发光效率的限制。通过高温固相反应合成了Ca3Sc2Ge3O12:Cr3+ (CSG:Cr3+)和Pr3+/Cr3+共掺杂的Ca3Sc2Ge3O12 （CSG:Cr3+,Pr3+）荧光粉。Pr3+离子作为敏化剂，通过能量转移有效增强了Cr3+的发射，共掺杂样品的内量子效率为56.8%，外量子效率为7.72%。将CSG:Cr3+，Pr3+荧光粉与蓝色LED芯片相结合，制备了近红外pc-LED器件，该器件在100ma驱动电流下实现了稳定的光电转换。该装置已成功用于虹膜和静脉成像，证明了其在生物特征采集方面的适用性。

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引用次数: 0

Deposition rate-dependent microstructure and thermochromic properties of VO2 films prepared by pulsed laser deposition for smart window applications 基于脉冲激光沉积的VO2薄膜的微观结构和热致变色性能

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-02-18 DOI: 10.1016/j.infrared.2026.106479

Ming Li , Aoshen Shi , Xinchun Tao , Jiawen Xue , Haitao Zong , Wentao Qiao , Yuehong Yin , Cong Zhang

Deposition dynamics, as a critical factor in regulating the crystallographic orientation, microstructure, and phase transition properties of thin films, directly influence the performance of films. In this study, a series of VO₂ films were fabricated on alkali-free glass substrates via pulsed laser deposition by controlling the deposition rates (0.5, 1, and 2 nm/min), elucidating how rate modulates the thermochromic properties of VO₂. X-ray diffraction indicates that increased rate and film thickness promote stabilized orientation along the (011) plane. Scanning electron microscopy results show, non-monotonic influence of rate on grain size: at a 20 nm thickness, the average grain size decreased from 67.6 nm (0.5 nm/min) to 60.9 nm (1 nm/min), then increased to 76.3 nm (2 nm/min), whereas increasing thickness primarily induced monotonic grain coarsening across all rates. In terms of phase transition, increasing the rate at 20 nm thickness significantly lowered the transition temperature (T_c) from 78 °C to 72 °C and narrowed the thermal hysteresis width (ΔH) from 27 °C to 18 °C, while thickness variation showed a weaker effect. Optically, the rate modulated luminous transmittance (T_lum), which first rose from 71.5% to 78.9% and then fell to 63.2% for 20 nm films, and consistently reduced solar modulation ability (ΔT_sol) from 8.2% to 6.5%. The V_0.5–20 exhibits relatively balanced thermochromic performance with a T_lum of 71.5% and a ΔT_sol of 8.2%. These results demonstrate that controlling the deposition rate can effectively regulate the surface morphology and thermochromic properties of VO₂ films for smart window applications.

沉积动力学是调节薄膜晶体取向、微观结构和相变性能的关键因素，直接影响薄膜的性能。在本研究中，通过控制沉积速率（0.5、1和2 nm/min），通过脉冲激光沉积在无碱玻璃衬底上制备了一系列VO2薄膜，阐明了速率如何调节VO2的热致变色性能。x射线衍射表明，速率和膜厚的增加促进了（011）面取向的稳定。扫描电镜结果显示，速率对晶粒尺寸的非单调影响：在厚度为20 nm时，平均晶粒尺寸从67.6 nm （0.5 nm/min）减小到60.9 nm (1 nm/min)，然后增加到76.3 nm (2 nm/min)，而在所有速率下，增加厚度主要引起晶粒的单调粗化。在相变方面，在20nm厚度处增加速率可显著降低相变温度（Tc），从78°C降低到72°C，热滞后宽度（ΔH）从27°C缩小到18°C，而厚度变化影响较弱。光学方面，20 nm薄膜的速率调制透光率（Tlum）先从71.5%上升到78.9%，然后下降到63.2%，太阳调制能力（ΔTsol）从8.2%持续降低到6.5%。V0.5-20表现出相对平衡的热致变色性能，tum为71.5%，ΔTsol为8.2%。这些结果表明，控制沉积速率可以有效地调节用于智能窗口的VO2薄膜的表面形貌和热致变色性能。

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引用次数: 0

Adaptive dense MobileNetv2 and dilated R2Unet with double Attention-based plant disease classification with deep learning segmentation 基于深度学习分割的双关注植物病害分类的自适应密集MobileNetv2和扩展R2Unet

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-02-26 DOI: 10.1016/j.infrared.2026.106486

K. Ananthajothi , Pravin R. Kshirsagar , Tan Kuan Tak , Kailash Kumar

Across worldwide, agriculture plays an essential role for securing the crop fields and sustainability. Yet, plant disease is a major concern, whereas the rapid enhancement of several deep learning and other agricultural tools provides effective data-driven crop management solutions. Agricultural practitioners must implement targeted interventions to mitigate disease progression, which leads to enhance production growth. The conventional models lacks from significant economic losses because of delayed detection that severely impact the agricultural productivity. In existing models, complex data are not processed which leads to inaccurate analysis and requires high computational resources. The timely classification of pest disease is necessary so that, an automated deep learning model is proposed. Initially, the relevant online source is utilized for collecting the input data. Further, the collected raw images are fed into the Dilated Recurrent Residual Unet (Di-R2Unet) model with double attention for segmenting the affected region. At the final stage, the plant diseases are classified from segmented images by Adaptive Dense MobilenetV2 (ADMNetv2). In order to progress the classification performance and strengthen the accuracy, the hyper-parameters of DMNetv2 are optimized by improved Enhanced Random Function-based Addax Optimization Algorithm (ERF-AOA). To achieve the desired results for different measures, the proposed classification model’s success rate is calculated. On the contrary, the suggested method helps to rapidly identify the disease that can also increase the crop production and economic level for the farmers. While comparing with extensive comparative analysis, the designed technique achieves better accuracy of 94.42%, and precision of 97.84%, respectively.

在全球范围内，农业在保障农田安全和可持续发展方面发挥着至关重要的作用。然而，植物病害是一个主要问题，而一些深度学习和其他农业工具的快速增强提供了有效的数据驱动的作物管理解决方案。农业从业者必须实施有针对性的干预措施，以减缓疾病进展，从而提高产量增长。传统模型由于检测滞后而造成重大经济损失，严重影响农业生产力。在现有的模型中，由于没有对复杂的数据进行处理，导致分析不准确，并且需要大量的计算资源。为了及时对病虫害进行分类，提出了一种自动深度学习模型。首先，利用相关的在线资源收集输入数据。然后，将采集到的原始图像输入到扩展递归残差Unet （Di-R2Unet）模型中，对受影响区域进行双重关注分割。最后，利用ADMNetv2 （Adaptive Dense MobilenetV2）对植物病害进行分类。为了提高DMNetv2的分类性能，提高分类精度，采用改进的Enhanced Random Function-based Addax Optimization Algorithm （ERF-AOA）对DMNetv2的超参数进行了优化。为了对不同的度量达到期望的结果，计算了所提出的分类模型的成功率。相反，该方法有助于快速识别病害，也可以提高作物产量和农民的经济水平。与广泛的对比分析相比，所设计的方法准确度为94.42%，精密度为97.84%。

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引用次数: 0

A low-illumination infrared and visible image fusion network based on brightness normalization 基于亮度归一化的低照度红外与可见光图像融合网络

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-02-23 DOI: 10.1016/j.infrared.2026.106488

Haode Shi, Hongyu Chu, Yanhua Shao, XiaoQiang Zhang

Infrared and visible image fusion aims to combine source image complementary data for high-contrast fused images, which emphasize salient targets and abundant texture details. However, present fusion methods usually cannot effectively handle the problem of illumination degradation in source images, which limits the fusion performance. To address this issue, we introduce a new network architecture called BNFusion, which is designed for infrared and visible image fusion under illumination degradation conditions. Specifically, we first build a joint encoding module that integrates Transformer and CNN. Through the intra-modal and inter-modal feature interaction mechanisms, it achieves deep fusion of local and global features along with cross-modal feature interaction between different domains, so as to fully extraction the features of infrared and visible images. Then, a brightness normalization module is developed to normalize the extracted brightness channel features, thereby effectively eliminating the degradation of fusion quality caused by illumination degradation in visible images during fusion. Secondly, a module for feature compensation is constructed to make up for the loss in feature info induced by normalization, so as to retain the maximum amount of feature information in source images. Finally, a constraint term combining fusion loss, contrastive loss, color loss, and magnitude loss is constructed to train the network for fusion alongside its normalization module, realizing the collaborative optimization of fusion and enhancement. It is worth emphasizing that the entire network is optimized via a two-phase training strategy, thus implicitly solving the problem of degraded fused image quality caused by illumination degradation. Extensive experiments indicate that in comparison with existing image fusion techniques, the method we propose shows notable advantages regarding visual effects and important fusion performance metrics in illumination degraded scenarios, and also delivers good performance in advanced visual tasks. Our code is available at https://github.com/HaodeShi/BNFusion

红外图像与可见光图像融合的目的是结合源图像互补数据，获得高对比度的融合图像，从而突出突出的目标和丰富的纹理细节。然而，现有的融合方法通常不能有效地处理源图像的光照退化问题，这限制了融合的性能。为了解决这一问题，我们引入了一种名为BNFusion的新网络架构，该架构专为光照退化条件下的红外和可见光图像融合而设计。具体来说，我们首先构建了一个集成了Transformer和CNN的联合编码模块。通过模态内和模态间的特征交互机制，实现局部和全局特征的深度融合以及不同域间的跨模态特征交互，从而充分提取红外和可见光图像的特征。然后，开发亮度归一化模块，对提取的亮度通道特征进行归一化处理，从而有效消除可见光图像在融合过程中因光照退化而导致的融合质量下降。其次，构造特征补偿模块，弥补归一化导致的特征信息损失，最大限度地保留源图像的特征信息；最后，构造融合损失、对比损失、颜色损失和幅度损失的约束项，与其归一化模块一起训练网络进行融合，实现融合增强的协同优化。值得强调的是，整个网络通过两阶段训练策略进行优化，从而隐含地解决了由于光照退化导致融合图像质量下降的问题。大量的实验表明，与现有的图像融合技术相比，我们提出的方法在照明退化场景下的视觉效果和重要融合性能指标方面具有显着优势，并且在高级视觉任务中也具有良好的性能。我们的代码可在https://github.com/HaodeShi/BNFusion上获得

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引用次数: 0

Biomimetic ultra-broadband mid-infrared absorber Based on Ti-SiO2 hierarchical pyramid metasurface inspired by cicada wing nanostructures 受蝉翅纳米结构启发的Ti-SiO2分层金字塔超表面仿生超宽带中红外吸收体

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-03-03 DOI: 10.1016/j.infrared.2026.106496

Fangrong Zhang , Zhaobo Song , Pan Li , Guoqiang Lan

Efficient control of infrared radiation is critical for thermophotovoltaics, infrared stealth, and optoelectronic detection. Conventional absorbers, however, are typically restricted by narrow bandwidth, strong angular dependence, and poor thermal stability. This work presents a theoretical investigation of a biomimetic metasurface absorber inspired by cicada wing nanostructures, comprising a SiO₂ pyramidal core coated with a Ti-SiO₂-Ti multilayer shell. Finite-difference time-domain (FDTD) simulations reveal an average absorptance of 95.64 % over the broad wavelength range of 1.03–8.97 μm, including a 7.94 μm bandwidth with absorptance exceeding 90 %. The exceptional performance originates from synergistic mechanisms-gradient impedance matching, localized surface plasmon resonance, and magnetic resonance-yielding polarization insensitivity, wide-angle stability, and robust thermal performance. Systematic parameter sweeps further confirm excellent fabrication tolerance. Compared with state-of-the-art designs, the proposed absorber demonstrates superior overall metrics, positioning it as a highly promising candidate for thermophotovoltaics, infrared stealth, and the recovery of medium- to low- temperature industrial waste heat.

红外辐射的有效控制对热光电、红外隐身和光电子探测至关重要。然而，传统的吸收器通常受到窄带宽，强角依赖性和热稳定性差的限制。本文提出了一种仿生超表面吸收体的理论研究，该吸收体受蝉翼纳米结构的启发，由覆盖有Ti-SiO2-Ti多层外壳的SiO2锥体核组成。时域有限差分（FDTD）仿真结果表明，在1.03 ~ 8.97 μm的宽波长范围内，平均吸光度为95.64%，其中7.94 μm的带宽吸光度超过90%。优异的性能源于协同机制——梯度阻抗匹配、局部表面等离子体共振和磁共振——产生极化不敏感、广角稳定性和强大的热性能。系统参数扫描进一步证实了卓越的制造公差。与最先进的设计相比，所提出的吸收剂具有优越的总体指标，将其定位为热光伏，红外隐身和中低温工业废热回收的极有前途的候选者。

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引用次数: 0

Tm-doped tapered anti-resonant fiber design for high power 2.3 μm laser 高功率2.3 μm激光器中掺铥锥形抗谐振光纤的设计

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-02-08 DOI: 10.1016/j.infrared.2026.106453

Shijie Fu , Tianzhi Wu , Quan Sheng , Junxiang Zhang , Lu Zhang , Zhidong Yao , Wei Shi , Jianquan Yao

A large-mode-area single-mode Tm-doped all-solid tapered anti-resonant fiber (ARF) based on tellurite glass is designed for high-power 2.3 μm laser generation. An extra resonant layer is introduced to the fiber cladding to form a double-layer nested anti-resonant structure to realize mode coupling of high-order core modes for single-mode operation while enhancing the mode confinement capability of LP₀₁ core mode for low-loss operation. Single mode operation, with fundamental mode transmission loss maintained below 1 dB/m and high-order mode losses greater than 10 dB/m, can be achieved from the Tm-doped tapered ARF as the core diameter increased from 40 μm to 57 μm. Maximum mode area of 1713.9 μm² can be obtained at the output end of the tapered fiber. The proposed Tm-doped tapered ARF in this work provides an efficient routine for the development of high power 2.3 μm fiber laser generation.

设计了一种基于碲酸盐玻璃的大模面积单模掺铥全固体锥形抗谐振光纤（ARF），用于高功率2.3 μm激光的产生。在光纤包层中引入额外的谐振层，形成双层嵌套抗谐振结构，实现单模工作时高阶芯模的模式耦合，同时增强LP01芯模低损耗工作时的模式约束能力。随着芯径从40 μm增加到57 μm，掺tm的锥形ARF可以实现单模工作，基模传输损耗保持在1 dB/m以下，高阶模式损耗大于10 dB/m。在锥形光纤的输出端可获得1713.9 μm2的最大模面积。本文提出的掺铥锥形ARF为高功率2.3 μm光纤激光器的研制提供了一条有效的途径。

引用次数: 0

Ultra-narrowband high-sensitivity multispectral sensor enabled by Fabry-Perot resonances for label-free detection 超窄带高灵敏度多光谱传感器，通过法布里-珀罗共振实现无标签检测

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-05-01 Epub Date: 2026-02-05 DOI: 10.1016/j.infrared.2026.106449

Saima Kanwal , Hussein H.N. Al Taee , Mir Hamid Rezaei , Norah A.M. Alsaif , Saleh Chebaane

We present a highly efficient optical sensor based on the excitation of Fabry-Perot (FP) in a hybrid dielectric-metal multilayer structure. The proposed configuration, comprising a thin gold film, periodic SiO₂/Al₂O₃ layers, a sensing region, and a ground metal. This configuration supports ultra-narrowband resonances and perfect absorption, enabling precise detection of minor refractive index variations. Using the transfer matrix method (TMM), the sensor exhibits a refractive index sensitivity of 1310 nm/RIU with an exceptionally high figure-of-merit (FOM_n) of 2569 RIU⁻¹ and a quality-factor (Q) of 3025, alongside an intensity-based sensitivity of 968 RIU⁻¹ and a corresponding FOM_I of 7.06 × 10⁵ RIU⁻¹. The optical response can be tuned by altering the dielectric materials, stacking order, or structural parameters. Numerical results confirm excellent agreement with FP resonance theory, validating the design’s accuracy and robustness. These features establish the proposed sensor as a robust and versatile platform for label-free detection and advanced optical biosensing applications.

提出了一种基于介电-金属混合多层结构中法布里-珀罗（FP）激发的高效光学传感器。所提出的结构，包括薄金膜，周期性SiO2/Al2O3层，传感区域和接地金属。这种配置支持超窄带共振和完美的吸收，能够精确检测微小的折射率变化。利用传递矩阵法（TMM），该传感器的折射率灵敏度为1310 nm/RIU，具有2569 RIU−1的超高品质因数（formn）和3025的质量因数(Q)，同时基于强度的灵敏度为968 RIU−1，相应的FOMI为7.06 × 105 RIU−1。光学响应可以通过改变介电材料、堆叠顺序或结构参数来调谐。数值结果与FP共振理论吻合良好，验证了设计的准确性和鲁棒性。这些特征使所提出的传感器成为无标签检测和先进光学生物传感应用的强大而通用的平台。

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