Optics and Laser Technology最新文献

{"title":"Design and analysis of a multispectral compatible stealth metamaterial for enhanced stealth across the laser, Infrared, and radar spectral bands","authors":"Binzhen Zhang,&nbsp;Yulong Gao,&nbsp;Jiayun Wang,&nbsp;Linyue Chen,&nbsp;Ling Zhao,&nbsp;Junping Duan","doi":"10.1016/j.optlastec.2025.112902","DOIUrl":"10.1016/j.optlastec.2025.112902","url":null,"abstract":"<div><div>With the increasing prevalence of multi-band detection technologies, military equipment and weapons face heightened risks of exposure to enemy detectors, posing significant challenges to stealth capabilities. This paper proposes a multispectral stealth metamaterial (MSM) designed for cross-band stealth applications in laser, infrared, and radar domains. The device integrates a one-dimensional photonic crystal (1D-PC) and a radar-absorbing metamaterial (RAM), achieving a low specular reflectivity (average value of 0.25) across the 8–14 μm range, over 98 % absorption at 10.6 μm, and more than 90 % absorption efficiency within the 7.5–18 GHz radar band, while simultaneously suppressing high emissivity in the infrared band. A 10 × 10 cm2 sample was fabricated and tested, demonstrating the device’s multispectral modulation performance. This work provides a novel approach to multispectral modulation and thermal radiation management, offering potential advancements in stealth technology.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112902"},"PeriodicalIF":4.6,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SPR sensor based on sapphire prism coupling with dual-Au-layer sandwiched GaN structure for enhanced sensitivity and FOM","authors":"Zhuo-Yu Jin ,&nbsp;Chu Cao ,&nbsp;Nuerguli Kari ,&nbsp;Dian-Yun Zhang ,&nbsp;Qi Wang","doi":"10.1016/j.optlastec.2025.112861","DOIUrl":"10.1016/j.optlastec.2025.112861","url":null,"abstract":"<div><div>Surface plasmon resonance (SPR) sensors are currently applied in various fields, driving the development of precise detection technologies. However, few designs effectively balance ease of fabrication, high detection performance, and structural stability. To address this challenge, we developed an SPR sensor with a sapphire prism-Au/Gallium Nitride (GaN)/Au composite film structure. The GaN thin film enhances sensitivity, while the coupling between the dual Au layers and sapphire reduces the full width at half maximum (FWHM) and improves sensor stability. Simulation results indicate a significant increase in the electric field intensity at the sensor surface. Experimental results demonstrate that the structure exhibits excellent long-term stability. Compared with conventional Au film sapphire prism SPR sensors, this design achieves a 3.14-fold increase in sensitivity and a 5.43-fold improvement in the figure of merit (FOM). This study presents a novel approach to further enhancing SPR sensor performance and highlights the potential applications of this structure in detection technologies.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112861"},"PeriodicalIF":4.6,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanosecond laser-induced plasma for nondestructive cleaning and substrate strengthening of 7075 aluminum alloy surface coating","authors":"Yubo Liu,&nbsp;Jixing Cai,&nbsp;Hongtao Mao,&nbsp;Yue Zhou,&nbsp;Chunting Wu","doi":"10.1016/j.optlastec.2025.112862","DOIUrl":"10.1016/j.optlastec.2025.112862","url":null,"abstract":"<div><div>This study develops a novel model for plasma-based non-destructive cleaning and substrate reinforcement, employing techniques such as acoustic frequency, LIBS, EDS, SEM, and mechanical property analysis. Theoretical optimization of plasma and shock wave processes for substrate reinforcement is performed. Numerical simulations and experimental results validate the plasma-induced spatial stress distribution process, showing that energy release from multi-pulse combustion waves occurs gradually. Acoustic emission signals during cleaning are monitored to identify the characteristic frequencies of stress elimination and ablation. The combined use of LIBS, EDS, and SEM to analyze surface microstructure and composition changes during cleaning shows that plasma impact and shear wave reflection reduce surface defects, significantly enhancing substrate hardness and durability. Shock-induced martensitic phase transformation increased the local microhardness from 153.5 HV to 206.9 HV. The direct interrelationship of multiple input parameters in the cleaning process was established, and through multidimensional analysis, the physical and chemical reactions in the cleaning process as well as the physical mechanisms of substrate reinforcement after cleaning were revealed.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112862"},"PeriodicalIF":4.6,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on spatiotemporal dynamic speckle suppression mechanism in microstructured waveguide illumination DIC imaging","authors":"Donghui Zhang ,&nbsp;Tianxi Zhai ,&nbsp;Yingjie Yu ,&nbsp;Cheng Zhang ,&nbsp;Yilan Chen ,&nbsp;Jian Cui ,&nbsp;Xiaobo Zhuang ,&nbsp;Xiulin Qiu ,&nbsp;Yuxin Wei ,&nbsp;Xiangyang Pang ,&nbsp;Zhigang Liu ,&nbsp;Zhiyu Zhu ,&nbsp;Ziruo Cui","doi":"10.1016/j.optlastec.2025.112856","DOIUrl":"10.1016/j.optlastec.2025.112856","url":null,"abstract":"<div><div>Laser-illuminated imaging, capable of over-the-horizon detection, is extensively utilized in remote sensing and mapping of space, polar regions, and oceans. Under partly coherent laser illumination, random bright and dark patches caused by phase change of light waves due to minute optical path difference in differential interferometric contrast imaging, hence diminishing image quality. This paper investigated the phase-modulated speckle suppression mechanism under partially coherent light and proposed a spatio-temporal dynamic speckle autocorrelation suppression method using microstructured waveguides. By enhancing the conventional reflective differential interference contrast imaging systems with a partially coherent laser as the illumination source and incorporating a point-array microstructure device, spatio-temporal dynamic experiments were conducted through the integration of beam angle and displacement transformations. The results demonstrated that Ir-coated, curved surface-like dot-array homogenizing devices which assisted in imaging effectively achieve spot homogenization and uniform energy distribution, leveraging the scattering suppression capabilities inherent in their material and structural design. In both air and underwater environments, when the light source was uniformly translating or rotating and reached the autocorrelation threshold, the scattering optical range difference was most uniformly distributed; at the same time, when the angle of incidence reached the autocorrelation threshold, the coherence width of the light field was largest, the phase difference was smallest, and the imaging quality was best. Especially in the underwater imaging experiments, the proposed microstructure design combined with the dynamic modulation of the light source demonstrated superior scattering suppression capability, providing an effective way to improve underwater imaging quality.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112856"},"PeriodicalIF":4.6,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"YOLO-MST: Multiscale deep learning method for infrared small target detection based on super-resolution and YOLO","authors":"Taoran Yue ,&nbsp;Xiaojin Lu ,&nbsp;Jiaxi Cai ,&nbsp;Yuanping Chen ,&nbsp;Shibing Chu","doi":"10.1016/j.optlastec.2025.112835","DOIUrl":"10.1016/j.optlastec.2025.112835","url":null,"abstract":"<div><div>With the advancement of aerospace technology and the increasing demands of military applications, the development of low false-alarm and high-precision infrared small target detection algorithms has emerged as a key focus of research globally. However, the traditional model-driven method is not robust enough when dealing with features such as noise, target size, and contrast. The existing deep-learning methods have limited ability to extract and fuse key features, and it is difficult to achieve high-precision detection in complex backgrounds and when target features are not obvious. To solve these problems, this paper proposes a deep-learning infrared small target detection method that combines image super-resolution technology with multi-scale observation. First, the input infrared images are preprocessed with super-resolution and multiple data enhancements are performed. Secondly, based on the YOLOv5 model, we proposed a new deep-learning network named YOLO-MST. This network includes replacing the SPPF module with the self-designed MSFA module in the backbone, optimizing the neck, and finally adding a multi-scale dynamic detection head to the prediction head. By dynamically fusing features from different scales, the detection head can better adapt to complex scenes. The [email protected] detection rates of this method on three datasets IRIS, SIRST and SIRST+ reach 99.5%, 96.4% and 91.4% respectively, more effectively solving the problems of missed detection, false alarms, and low precision.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112835"},"PeriodicalIF":4.6,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-aided automatic recognition and precise localization of marker layers within multilayer Laue lenses (MLLs) for high-resolution X-ray nanofocusing","authors":"Wei Xu ,&nbsp;Weihe Xu ,&nbsp;Nathalie Bouet ,&nbsp;Juan Zhou ,&nbsp;Hanfei Yan ,&nbsp;Xiaojing Huang ,&nbsp;Zirui Gao ,&nbsp;Ming Lu ,&nbsp;Yong S. Chu ,&nbsp;Evgeny Nazaretski","doi":"10.1016/j.optlastec.2025.112847","DOIUrl":"10.1016/j.optlastec.2025.112847","url":null,"abstract":"<div><div>We present a new method for the automatic recognition and precise localization of marker layers within multilayer Laue lenses (MLLs) used for high-resolution X-ray nanofocusing. This approach integrates image processing techniques with machine learning algorithms, encompassing multiple stages including marker layer identification, coarse localization, differentiation, fine localization, and profile fitting. By directly obtaining marker layer profiles, this method eliminates errors induced by various factors such as manual measurements and image misalignment. It is robust and effective in the presence of various image defects. The proposed method enhances and streamlines the characterization of MLL optics, enabling accurate assessment of zone placement and detailed multilayer profile analysis. Consequently, it advances the fabrication of MLL optics and improves their application in high-resolution X-ray nanofocusing.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112847"},"PeriodicalIF":4.6,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In-Situ monitoring of porosity based on static and dynamic molten pool features in laser powder bed fusion","authors":"Longchao Cao ,&nbsp;Jingchang Li ,&nbsp;Qi Zhou ,&nbsp;Wang Cai ,&nbsp;Binyan He ,&nbsp;Yahui Zhang","doi":"10.1016/j.optlastec.2025.112872","DOIUrl":"10.1016/j.optlastec.2025.112872","url":null,"abstract":"<div><div>Porosity is one of the most serious defects for laser powder bed fusion (LPBF) which is a promising metal additive manufacturing (AM) technique. Reducing porosity is essential to improve the mechanical properties of parts in high-end applications. While existing research primarily focuses on static molten pool features, such as size and shape, these methods overlook critical local details, leading to imprecise porosity monitoring. To address this gap, this study proposes a novel attention-based method for in-situ monitoring of porosity (AMNet) from hybrid static and dynamic features (also referred to as motion features) extracted from the molten pool. Dynamic or motion features represent the molten pool by computing the distance from its edge to the centroid in the image. In the proposed AMNet, we adopt a self-attention mechanism to extract representative features from static and motion features separately. Furthermore, cross-attention is introduced to fuse two kinds of features in the latent space for porosity detection. To verify the effectiveness of AMNet, we collect a dataset consisting of molten pool and porosity data with three categories. The proposed AMNet achieves superior performance with an accuracy of 99.4 % on our dataset. Even 92 % accuracy is obtained with only 20 % of the training set by AMNet. The inference time of AMNet, averaging around 6.25 ms per sample has the potential to enhance closed-loop quality control systems by providing valuable real-time feedback. These results demonstrate the effectiveness and efficiency of the proposed method in porosity detection during LPBF.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112872"},"PeriodicalIF":4.6,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-focus beams with adjustable three-dimensional morphing spatial structure","authors":"Fajing Li ,&nbsp;Lin Yu ,&nbsp;Lemin Shan ,&nbsp;Yurui Wu ,&nbsp;Yiran Wang ,&nbsp;Yifan Wang ,&nbsp;Shouping Nie ,&nbsp;Jun Ma ,&nbsp;Caojin Yuan ,&nbsp;Xiangxing Xu","doi":"10.1016/j.optlastec.2025.112859","DOIUrl":"10.1016/j.optlastec.2025.112859","url":null,"abstract":"<div><div>The beams with axial multiple focusing characteristic have been proven highly valuable in contemporary optics. We propose a new multifocal three-dimensional morphing (M3DM) beam featuring adjustable three-dimensional(3D) morphing spatial structure. By modulating the phase spectrum of a circular Airy beam via a chirped phase and a twisted phase, the circular Airy beam is transformed into a M3DM beam with four focal points. Moreover, the continuous three-dimensional enclosed dark space between two focal points in the middle presents the bottle beam characteristics. The 3D enclosed bottle space and even the focus points exhibit diverse structures by tuning the parameters of the modulated phase. From the energy flow analysis, it is observed that the gradient of energy flow varies with the beam structures. Employing the spatial multiplexing method, an array of M3DM beams is generated, capable of producing four times the number of focal points in 3D space. Furthermore, the dimension and focal position of each M3DM beam element can be independently adjusted with a high degree of freedom. Consequently, the proposed beam with its unique multifocal and self-rotational properties demonstrates promising applications in multiparticle trapping in 3D orientation, bioscience, optical communication, and multiplanar imaging.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112859"},"PeriodicalIF":4.6,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-temperature solution-processed amorphous-Ga2O3 optoelectric synapses for neuromorphic computing","authors":"Zhenhua Tang ,&nbsp;Jun-Lin Fang ,&nbsp;Yu-Xiang Wu ,&nbsp;Guanhua Wu ,&nbsp;Si Yang ,&nbsp;Yan-Ping Jiang ,&nbsp;Xin-Gui Tang ,&nbsp;Xiu-Juan Jiang ,&nbsp;Yi-Chun Zhou ,&nbsp;Ju Gao","doi":"10.1016/j.optlastec.2025.112837","DOIUrl":"10.1016/j.optlastec.2025.112837","url":null,"abstract":"<div><div>Optoelectronic synaptic devices present a promising approach to address the limitations of the von Neumann architecture. In this work, the amorphous gallium oxide (a-Ga2O3) optoelectronic synaptic devices were prepared by using a cost-effective sol–gel technique at a relatively low temperature of 400 °C. The a-Ga₂O₃ devices exhibit an exceptionally wide bandgap and a stable, persistent photoconductive effect, allowing for the effective emulation of short- and long-term plasticity, paired-pulse potentiation, and pulse time-dependent plasticity akin to biological synapses. A digital image recognition method and a clothing image recognition method based on the LeNet-5 neural network model also were developed, achieving recognition rates of 97.8 % and 78 %, respectively. These findings are expected to contribute to the advancement of artificial synaptic devices, neural networks, and computing systems capable of optoelectronic operations.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112837"},"PeriodicalIF":4.6,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-dimensional tool wear detection using Non-Subsampled Shearlet Transform and enhanced pulse coupled neural network in optical microscopy reconstruction","authors":"Lei Li ,&nbsp;Bing Li ,&nbsp;Xiang Wei ,&nbsp;Zhenhua Gao ,&nbsp;Zhengxi Lu ,&nbsp;Hao Guo","doi":"10.1016/j.optlastec.2025.112849","DOIUrl":"10.1016/j.optlastec.2025.112849","url":null,"abstract":"<div><div>The milling tool plays a pivotal role in the fabrication of components within the aerospace and various other industrial sectors. Consequently, it is essential to perform swift, accurate, and comprehensive evaluations of tool wear throughout the manufacturing and processing stages. Traditional methods for assessing tool wear often suffer from limitations due to their dependence on singular evaluation criteria and a lack of detailed wear information. To overcome these challenges, this study introduces a multi-dimensional tool wear detection system utilizing optical microscopy vision to capture fully-focused images of the tool and reconstruct the shape of the wear region, which is designed to enable efficient, high-precision, and holistic evaluation of wear parameters. Furthermore, Non-Subsampled Shearlet Transform (NSST) and an enhanced pulse coupled neural network (PCNN)are used to extract 3D depth information, which facilitate the creation of a high-precision tool depth map by mapping high-frequency subbands to different depth levels while simultaneously obtaining the fully-focused image. Additionally, an inspection criterion is established that encompasses a multi-dimensional evaluation of wear metrics, including wear value, area, and volume. Compared to standard equipment, the error of wear value was found to be less than 0.005 mm, and the error rate of area, and volume was less than 2.5 %. Experimental results demonstrate that the proposed method offers more comprehensive assessment metrics for evaluating tool wear. It can be used to offer valuable feedback of tool state for machining processes.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"187 ","pages":"Article 112849"},"PeriodicalIF":4.6,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}