Infrared Physics & Technology最新文献_第10页

Spectral clustering dimensionality reduction in wheat quality detection based on hyperspectral data 基于高光谱数据的小麦品质检测光谱聚类降维

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-14 DOI: 10.1016/j.infrared.2026.106400

Huawei Jiang , Yiduo Zhu , Wanbao Sheng , Ruomeng Hu , Wenqiang Pi , Zhen Yang , Like Zhao

{"title":"Spectral clustering dimensionality reduction in wheat quality detection based on hyperspectral data","authors":"Huawei Jiang , Yiduo Zhu , Wanbao Sheng , Ruomeng Hu , Wenqiang Pi , Zhen Yang , Like Zhao","doi":"10.1016/j.infrared.2026.106400","DOIUrl":"10.1016/j.infrared.2026.106400","url":null,"abstract":"<div><div>As one of the most important food crops worldwide, the accurate quality detection of wheat is a key link in safeguarding food security and food safety. Hyperspectral technology, as an effective method for quality detection, however, faces challenges in accurately determining critical quality indicators such as wheat deterioration degree due to the presence of massive redundant information. To address this issue, this study proposes a Spectral Clustering Dimensionality Reduction (SCDR) algorithm that integrates spectral angle similarity and spatial distance. First, the differences and similarities among various spectral features are quantitatively analyzed to construct the feature relationships between different bands. Second, based on these feature relationships, high-dimensional features are partitioned via clustering to generate feature clusters with dimensions far lower than those of the original data. Finally, weights are assigned according to the intra-cluster feature differences and similarities to calculate the representative feature values, thereby achieving dimensionality reduction. The experimental results demonstrate that the wheat quality detection model established based on the SCDR algorithm achieves an accuracy, precision, recall and F1-score of 0.9821, 0.9818, 0.9822 and 0.9818, respectively, on the test set, and its performance is significantly superior to that of other comparative models.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106400"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0

Five-channel terahertz switching enabled by a bilayer graphene metasurface with dual tuning mechanisms 具有双调谐机制的双层石墨烯超表面实现了五通道太赫兹开关

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-21 DOI: 10.1016/j.infrared.2026.106416

Wei Cui , Shasha Liang , Yixuan Wang , Zhihui He

{"title":"Five-channel terahertz switching enabled by a bilayer graphene metasurface with dual tuning mechanisms","authors":"Wei Cui , Shasha Liang , Yixuan Wang , Zhihui He","doi":"10.1016/j.infrared.2026.106416","DOIUrl":"10.1016/j.infrared.2026.106416","url":null,"abstract":"<div><div>To realize a terahertz/infrared absorber with a simple architecture, high absorption efficiency, and multi-frequency tunability, a compact bilayer graphene metasurface absorber is proposed. The design integrates etched rectangular graphene strips on the SiO<sub>2</sub> surface with a second continuous graphene layer embedded inside the dielectric, forming a five-frequency absorption metasurface, where the first four peaks exceed 98% (with two approaching 99%). Finite-difference time-domain (FDTD) simulations are used to examine the dependence of the absorption response on the polarization angle (PA) and the graphene Fermi level (<em>E<sub>f</sub></em>). Moreover, the interlayer spacing <em>h</em> is explored as a coupling parameter affecting the cavity confinement, while the resonance frequencies remain almost unchanged for incident angles up to 40°, showing excellent robustness to spacing variation and oblique illumination. Importantly, tuning PA and <em>E<sub>f</sub></em> enables five-channel switching with modulation depths (<em>MD</em>) above 99%, a minimum insertion loss (<em>IL</em>) of 0.0019 dB, and extinction ratios (<em>ER</em>) exceeding 20 dB, demonstrating outstanding multi-channel switching performance and strong application potential.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106416"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0

E2E-AFNet: An End-to-End adaptive NIR-RGB fusion network applied to solid waste recognition 应用于固体废物识别的端到端自适应NIR-RGB融合网络E2E-AFNet

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI: 10.1016/j.infrared.2026.106405

Tianchen Ji , Haonan Liu , Jianguo Liu , ChunXiang Liu , FengFeng Jiang , Yibin Xie , Huaiying Fang , Jianhong Yang

{"title":"E2E-AFNet: An End-to-End adaptive NIR-RGB fusion network applied to solid waste recognition","authors":"Tianchen Ji , Haonan Liu , Jianguo Liu , ChunXiang Liu , FengFeng Jiang , Yibin Xie , Huaiying Fang , Jianhong Yang","doi":"10.1016/j.infrared.2026.106405","DOIUrl":"10.1016/j.infrared.2026.106405","url":null,"abstract":"<div><div>Hyperspectral images (HSIs) and RGB multimodal information have proven effective for solid waste recognition. However, optimizing spectral band selection and feature extraction remains a challenge. This paper proposes an End-to-End Adaptive Fusion Network (E2E-AFNet) that integrates Dueling Double Deep Q Network (D3QN) with Near Infrared-RGB (NIR-RGB) feature extraction to achieve unified band selection and feature fusion. Using plastic waste as a case study, we design the Mask-D3QN SBS module to guide spectral input, which is processed by a multispectral feature extraction backbone. This backbone consists of a Multi-Scale Spectral Correlation Unit (MSC Unit) and a Multi-Scale Contour Feature Extraction Unit (MCF Unit), forming a dual-branch structure for feature decoupling. Additionally, the Mutual Attention Feature Interaction Module (MAFIM) efficiently fuses NIR-RGB features for object detection. A reward mechanism based on multimodal detection loss optimizes spectral input selection, enabling end-to-end adaptive fusion. Ablation results show that introducing the MSC and MCF modules improves the F1 score by 6.34 % and 6.45 %, respectively. Their joint use provides an additional ∼ 0.4 % gain, and incorporating the MAFIM module further increases the F1 score by 0.58 %. Further experiments show that the unified band-selection and fusion framework E2E-AFNet outperforms traditional methods, achieving an mAP of 90.48 % and an mAR of 90.87 %. By effectively combining band selection with multi-modal fusion, this approach enhances feature completeness and improves detection performance.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106405"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0

Improved estimation of soil organic matter content in the Yellow River delta using spectral data optimization and environmental variables integration 利用光谱数据优化和环境变量整合改进黄河三角洲土壤有机质含量估算

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-18 DOI: 10.1016/j.infrared.2026.106409

Shugang Xie , Xueyuan Bai , Cheng Li , Xicun Zhu

{"title":"Improved estimation of soil organic matter content in the Yellow River delta using spectral data optimization and environmental variables integration","authors":"Shugang Xie , Xueyuan Bai , Cheng Li , Xicun Zhu","doi":"10.1016/j.infrared.2026.106409","DOIUrl":"10.1016/j.infrared.2026.106409","url":null,"abstract":"<div><div>Soil Organic Matter (SOM) is a critical component of soil fertility, playing a key role in crop growth and soil improvement. Visible and near-infrared (Vis-NIR) spectroscopy is an ideal method for rapid and accurate estimation of SOM content. This study utilizes fractional-order derivative (FOD) and optimal band combination algorithm (two-dimensional spectral index (2DSI) and three-dimensional spectral index (3DSI)) collaboratively to optimize soil Vis-NIR spectral data and combines environmental variables (EV) to establish an estimation model for SOM content. The results indicate that the use of FOD significantly enhances the correlation between spectra and SOM, especially within the range of 0.4 to 1.4 orders. Modeling outcomes demonstrate that combining FOD with either 2DSI or 3DSI yields superior results compared to models constructed using FOD alone. Specifically, the introduction of 2DSI and 3DSI increases R<sub>v</sub>2 values by 3.66 % and 8.54 %, respectively, compared to using FOD alone. Furthermore, when optimized spectral data are combined with EV as input variables, the model’s estimation performance is markedly improved. The optimal model in this study is constructed using a combination of 2Ds + 3Ds + EVs, achieving R<sub>v</sub><sup>2</sup>, RMSE<sub>v</sub>, and RPD values of 0.92 g kg<sup>−1</sup>, 0.40 g kg<sup>−1</sup>, and 2.83, respectively. The research findings confirm the capabilities of FOD technology combined with the optimal band combination algorithm in optimizing spectral data, highlighting the advantages of multi-source data fusion modeling.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106409"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0

Non-contact deterioration patterns identification method of stone building heritage based on hyperspectral image technology 基于高光谱图像技术的石质建筑遗产非接触劣化模式识别方法

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-07 DOI: 10.1016/j.infrared.2026.106388

Haiqing Yang , Xiaoyu Zhou , Xingyue Li , Lixin Peng , Yongqiang Yue

{"title":"Non-contact deterioration patterns identification method of stone building heritage based on hyperspectral image technology","authors":"Haiqing Yang , Xiaoyu Zhou , Xingyue Li , Lixin Peng , Yongqiang Yue","doi":"10.1016/j.infrared.2026.106388","DOIUrl":"10.1016/j.infrared.2026.106388","url":null,"abstract":"<div><div>Deterioration pattern identification is the basis for studying the deterioration mechanism of stone cultural heritage and implementing protection measures. However, traditional photogrammetry-based methods for identifying heritage deterioration patterns exhibit excessive subjectivity, heavy reliance on surveyors’ experience, and low efficiency. To address this issue, this study proposes an intelligent recognition method for typical deterioration patterns based on hyperspectral imaging technology with Maijishan Grottoes as the research object. First, spectral data within the 400–1000 nm wavelength range were processed using Savitzky-Golay smoothing, normalization, and continuum removal to effectively enhance data quality. Next, feature wavelengths were selected through Competitive Adaptive Reweighted Sampling (CARS), Successive Projections Algorithm (SPA), and Random Frog Leaping Algorithm (RFLA) to reduce data redundancy. Subsequently, recognition models were constructed and trained based on these feature wavelengths, followed by a comparison of the performance of four different models in identifying typical deterioration patterns. Finally, the best-performing Random Forest (RF) model was applied to assess the overall deterioration distribution across the statues in the study area. The results demonstrate that the proposed recognition model can accurately identify deterioration patterns such as flaking, surface contamination, and salt crystallization. Additionally, the formation mechanisms of these deterioration patterns were analyzed, and corresponding conservation measures were proposed. This study provides an efficient and objective technical approach for the precise identification and quantitative analysis of deterioration patterns for stone cultural heritage.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106388"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0

An optical parametric oscillator based on BaGa2GeS6 with energy exceeding 2 mJ at 6.45 μm 基于BaGa2GeS6的6.45 μm能量超过2 mJ的光学参量振荡器

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-11 DOI: 10.1016/j.infrared.2026.106393

E.Yu. Erushin , S.E. Sere , M.V. Vostrikova , A.A. Boyko , G.S. Shevyrdyaeva , D.V. Badikov , A.A. Karapuzikov , N.Yu. Kostyukova

{"title":"An optical parametric oscillator based on BaGa2GeS6 with energy exceeding 2 mJ at 6.45 μm","authors":"E.Yu. Erushin , S.E. Sere , M.V. Vostrikova , A.A. Boyko , G.S. Shevyrdyaeva , D.V. Badikov , A.A. Karapuzikov , N.Yu. Kostyukova","doi":"10.1016/j.infrared.2026.106393","DOIUrl":"10.1016/j.infrared.2026.106393","url":null,"abstract":"<div><div>A high-energy optical parametric oscillator (OPO) based on a BaGa<sub>2</sub>GeS<sub>6</sub> (BGGS) nonlinear crystal pumped by a home-built Q-switched Nd:YAG laser operating at 1064 nm with 15 ns pulse duration and 10 Hz repetition rate was demonstrated and characterized. The system generated idler radiation near 6.45 μm with a maximum pump-to-idler conversion efficiency of 2.23 % at a pump energy of 92 mJ, corresponding to an idler output energy of 2.06 mJ. Over an hour monitoring period, the output energy stability was 1.9 % RMS, and the average beam quality factor was M<sup>2</sup> was determined to be 33 at a pump energy of 85 mJ. The phase-matching characteristics were experimentally studied via angular tuning of the BGGS crystal, and refined Sellmeier coefficients for the ordinary and extraordinary refractive indices were obtained using a least-squares fit, reducing the error between theory and experiment to 0.1°. The idler spectral linewidth, estimated by convolution of the measured pump and signal spectra, was 63.5 nm. The findings suggest that the BGGS crystal represents a promising nonlinear optical material for the generation of high-energy radiation within the mid-infrared spectral range.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106393"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0

TeOx interfacial passivation for Se0.3Te0.7 photoconductive detectors at 1550 nm 1550 nm处Se0.3Te0.7光导探测器的TeOx界面钝化

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-01 DOI: 10.1016/j.infrared.2025.106364

Jin Yang , Xiutao Yang , Jun Gou , Hang Yu , Zexu Wang , Yuchao Wei , Laijiang Wei , Chunyu Li , He Yu , Hongxi Zhou , Yun Zhou , Jun Wang

{"title":"TeOx interfacial passivation for Se0.3Te0.7 photoconductive detectors at 1550 nm","authors":"Jin Yang , Xiutao Yang , Jun Gou , Hang Yu , Zexu Wang , Yuchao Wei , Laijiang Wei , Chunyu Li , He Yu , Hongxi Zhou , Yun Zhou , Jun Wang","doi":"10.1016/j.infrared.2025.106364","DOIUrl":"10.1016/j.infrared.2025.106364","url":null,"abstract":"<div><div>Research on photoconductive devices based on SeTe alloy remains limited, especially in compositional optimization, interface engineering, and scalable manufacturing techniques. Here, we present a Se<sub>0.3</sub>Te<sub>0.7</sub> photoconductive detector optimized for 1550 nm wavelength through pre-metal annealing-enabled TeO<sub>x</sub> passivation. Annealing the Se<sub>0.3</sub>Te<sub>0.7</sub> alloy prior to electrode deposition forms a TeO<sub>x</sub> interfacial layer that passivates surface states and reduces dark current by nearly an order of magnitude. The optimized device achieves an enhanced responsivity of 57.7 mA W<sup>−1</sup> at −1 V bias with a 10 μm channel length, representing a 58.6 % improvement compared to traditional methods. Device performance is further tunable via channel length and bias voltage, with shorter channels demonstrating superior speed. This work presents a scalable, low-cost fabrication strategy for SeTe-based photodetectors, bridging the gap between material innovation and practical C-band applications in short-wave infrared (SWIR) detection.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106364"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145923446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0

Infrared hyperspectral imaging integrated with an attentive spatial-spectral neural network for precise postharvest detection of Aspergillus flavus contamination and nutrient variations in peanut kernels 红外高光谱成像与空间光谱神经网络相结合，用于花生籽粒中黄曲霉污染和营养变化的采后精确检测

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-15 DOI: 10.1016/j.infrared.2026.106402

Zhen Guo , Yifei Qin , Xijun Shao , Fernando A. Auat-Cheein , Lianming Xia , Yemin Guo , Xia Sun , Fangling Du

{"title":"Infrared hyperspectral imaging integrated with an attentive spatial-spectral neural network for precise postharvest detection of Aspergillus flavus contamination and nutrient variations in peanut kernels","authors":"Zhen Guo , Yifei Qin , Xijun Shao , Fernando A. Auat-Cheein , Lianming Xia , Yemin Guo , Xia Sun , Fangling Du","doi":"10.1016/j.infrared.2026.106402","DOIUrl":"10.1016/j.infrared.2026.106402","url":null,"abstract":"<div><div>Peanut kernels are highly susceptible to <em>Aspergillus flavus</em> contamination, posing significant food safety risks due to aflatoxin B<sub>1</sub> accumulation. This study applied infrared hyperspectral imaging, specifically covering visible-near infrared (VNIR, 400–1000 nm) and short-wave infrared (SWIR, 1000–2500 nm), to investigate the micro-interaction mechanisms between <em>Aspergillus flavus</em> and peanut kernels, focusing on spatio-temporal nutrient consumption and toxin accumulation. Infrared-based generalized two-dimensional correlation spectroscopy revealed a phased nutrient utilization strategy employed by <em>Aspergillus flavus</em>, identifying critical contamination phases at day 3 and day 5. An innovative attentive spatial-spectral synergy network (AS3Net) integrated with a novel bi-dimensional focus ripple module (BFRM), and significantly enhanced the prediction accuracy of moisture, protein, and oil contents in peanut kernels, achieving coefficient of determination of validation values of 0.932, 0.859, and 0.786, respectively. Ablation experiments highlighted that the combined use of spatial discovery, spectral insight modules, and dual fusion strategies improved model robustness, especially in predicting moisture content. Additionally, the AS3Net-BFRM framework provided a rapid, accurate classification of fungal-contaminated kernels with 100% accuracy. This advanced infrared hyperspectral imaging and deep learning approach presents a scalable, non-destructive, and efficient solution for real-time fungal contamination detection, which is crucial for enhancing food safety and managing aflatoxin risks in agricultural products.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106402"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0

Application of the GWO-RBFNN algorithm for data fitting in a sapphire fiber temperature measurement system GWO-RBFNN算法在蓝宝石光纤测温系统数据拟合中的应用

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-05 DOI: 10.1016/j.infrared.2026.106373

Wenjie Zhao , Sen Yang , Haoyu Wu , Jingmin Dai

{"title":"Application of the GWO-RBFNN algorithm for data fitting in a sapphire fiber temperature measurement system","authors":"Wenjie Zhao , Sen Yang , Haoyu Wu , Jingmin Dai","doi":"10.1016/j.infrared.2026.106373","DOIUrl":"10.1016/j.infrared.2026.106373","url":null,"abstract":"<div><div>In the process of high-temperature kiln ironmaking, molten iron temperature is an important parameter affecting yield and safety, and real-time accurate monitoring is crucial. However, the complexity of kiln conditions and serious environmental interference lead to the low accuracy of traditional temperature measurement, which is difficult to meet the demand for accurate control. To solve this problem, this paper proposes a data fitting method using the Gray Wolf Optimization (GWO) algorithm to optimize the Radial Basis Neural Network (RBFNN) based on the sapphire fiber optic temperature measurement system in order to improve the temperature measurement accuracy. The gray wolf algorithm optimizes the radial basis neural network center, width and weights by simulating the hunting behavior of gray wolves, and adaptively adjusts the parameters with the goal of minimizing the prediction error, which avoids the overfitting of the neural network and improves the model accuracy. The experimental results show that compared with the traditional algorithm, the proposed GWO-RBFNN method reduces the RMSE of iron water temperature prediction by 64%, MAE by 73%, and R<sup>2</sup> is improved to 0.9992, which further improves the prediction accuracy and training stability.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106373"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0

High-efficiency multi-millijoule mid-infrared optical vortex parametric oscillator based on a ZGP crystal 基于ZGP晶体的高效多毫焦耳中红外光学涡旋参量振荡器

IF 3.4 3区物理与天体物理

Infrared Physics & Technology Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI: 10.1016/j.infrared.2026.106413

Disheng Wei , Fei Wang , Lulu Gao , Zhuang Jin , Wenlong Li , Jun Meng , Gaoyou Liu , Zhaojun Liu

{"title":"High-efficiency multi-millijoule mid-infrared optical vortex parametric oscillator based on a ZGP crystal","authors":"Disheng Wei , Fei Wang , Lulu Gao , Zhuang Jin , Wenlong Li , Jun Meng , Gaoyou Liu , Zhaojun Liu","doi":"10.1016/j.infrared.2026.106413","DOIUrl":"10.1016/j.infrared.2026.106413","url":null,"abstract":"<div><div>In this paper, we demonstrated a high-efficiency, high-energy, and widely tunable mid-infrared optical vortex parametric oscillator based on a ZnGeP<sub>2</sub> (ZGP) crystal, pumped by a 2.05 μm first-order vortex laser operating at a repetition rate of 1kHz. The oscillator generated a signal beam that consistently carried orbital angular momentum (OAM) across a continuous tuning range from 3.57 to 4.02 μm, while the corresponding idler beam remained OAM-free and exhibited a Gaussian-like intensity profile. At a pump pulse energy of 6.4 mJ, the signal vortex beam achieved a maximum output energy of 2.7 mJ at a central wavelength of 3.86 μm, corresponding to an optical‑to‑optical conversion efficiency (OOCE) exceeding 42 %, which clearly demonstrated efficient OAM transfer from the pump to the signal beam. At maximum output, the signal vortex beam exhibited beam quality factors <em>M</em><sup>2</sup> of 2.7 and 2.6 in the <em>x</em> and <em>y</em> directions, respectively.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"154 ","pages":"Article 106413"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

引用次数: 0