2024

2024

  • Record 253 of

    Title:Fabrication and Bulk Resistance Modulation of Ru/Al2O3 Composite Nanofilm by Atomic Layer Deposition
    Author(s):Lian, Zhuoxi(1); Zhu, Xiangping(2,3); Wang, Dan(1,4); Li, Xiangxin(2)
    Source:Surface Technology
    Volume: 53  Issue: 14  DOI: 10.16490/j.cnki.issn.1001-3660.2024.14.016  Published: July 2024  
    Abstract:Applying atomic layer deposition (ALD) technology to fabricate the functional layer of a microchannel plate (MCP) has been verified to be an effective approach to enhancing MCP performance. However, the conduction layer inside the MCP device faces the issues of a narrow range of adjustable resistance and poor stability. The work aims to propose a method of utilizing ALD to fabricate Ru/Al2O3 composite nanofilm as the MCP conduction layer since Al2O3 has good environmental stability and excellent dielectricity and Ru possesses the properties of excellent thermal stability and high-temperature corrosion resistance. In order to explore the process parameters, Al2O3 and Ru nanofilms were deposited on Si wafers by ALD technology with different ALD cycle numbers. The cross-section thickness of the nanofilms was obtained by scanning electron microscopy (SEM), and the relative elemental composition of the nanofilms was obtained by energy-dispersive X-ray spectroscopy (EDS). The SEM characterization showed that applying ALD technology for the deposition of nanofilm resulted in high film quality, compact layer structure, and dense atomic arrangement. Moreover, the film thickness showed only a slight deviation from the estimated thickness, and the selected process parameters met the expected experimental objectives. On this basis, the Ru/Al2O3 composite nanofilm was fabricated by depositing two materials sequentially with ALD technology. A series of Ru/Al2O3 composite films were fabricated by maintaining a constant number of ALD cycles for Al2O3 and varying the ALD cycles for Ru, aiming to control the bulk resistance of the conduction layer. The bulk resistance of the MCP conduction layers was tested, and the stability of the bulk resistance was tested under different bias voltages. From the SEM and EDS results, it could be concluded that the process of preparing Al2O3 and Ru nanofilms with ALD was stable. The bulk resistance significantly decreased with the increase of ALD cycles of Ru according to the bulk resistance test results. The process parameters applicable to the preparation of the MCP conduction layer were Ru with an ALD cycle number of 28~40 and Al2O3 with an ALD cycle number of 10. In this case, the MCP bulk resistance was controlled in the range from 709 to 3.98 MΩ. The MCP bulk resistance was then tested under different bias voltages, namely, post-deposition without/with baking and extending purge time during deposition followed by natural cooling. The MCP bulk resistance showed preferable stability under different bias voltages by employing the process of extending purge time followed by natural cooling. With ALD technology, controlling the MCP bulk resistance from several to several hundred megohms has been achieved. Moreover, the optimized process for the conduction layer exhibits excellent stability regarding MCP bulk resistance. This work holds engineering application value in extending the range of conduction layer materials, and also makes significant sense for improving MCP performance. © 2024 Chongqing Wujiu Periodicals Press. All rights reserved.
    Accession Number: 20243717021228
  • Record 254 of

    Title:Rotating dual-retarders to correct polarization measurement error for division-of-amplitude polarimeter in full field of view
    Author(s):Jia, Wentao(1,2); Liu, Kai(1,2); Jiang, Kai(1,2); Shan, Qiusha(1,2); Duan, Jing(1,2); Wu, Linghao(3); Zhou, Liang(1,2)
    Source:Optics and Lasers in Engineering
    Volume: 181  Issue:   DOI: 10.1016/j.optlaseng.2024.108360  Published: October 2024  
    Abstract:The division-of-amplitude polarimeter (DoAP) can measure the four Stokes parameters simultaneously, and has the advantages of snapshot and high spatial resolution. However, the residual polarization aberration (PA) of DoPA system can lead to the polarization measurement error, which is influenced by the field of view. In this paper, the relationship between the measurement errors of Stokes parameters and the Mueller pupil is derived, and the Mueller pupil of DoPA system is obtained by 3D polarization ray-tracing matrix. Then, a method of dual-retarders rotation is proposed to correct the Mueller pupil in full field of view. The simulation demonstrates the PA correction can improve the measurement accuracy of DoPA system, and the measurement error of degree of linear polarization is reduced by 11.5 %, 38.2 % and 11.8 % at 0°, 10° and 15° field of view, respectively. This research facilitates the precise measurement of polarization signals for polarimeters. © 2024 Elsevier Ltd
    Accession Number: 20242416245015
  • Record 255 of

    Title:Influence of wavefront distortion on the measurement of pulse signal-to-noise ratio
    Author(s):Xing, Dingding(1,2); Yuan, Suochao(1); Kou, Jingwei(1); Da, Zhengshang(1)
    Source:Optics Communications
    Volume: 554  Issue:   DOI: 10.1016/j.optcom.2023.130110  Published: March 1, 2024  
    Abstract:The high-fidelity measurement of the ultra-short and ultra-intense laser pulses' temporal signal-to-noise ratio (SNR) is of great significance. To the best of our knowledge, few studies have investigated the influence of wavefront distortion on the measurement of pulse SNR. In this work, a numerical model is constructed to study how wavefront distortion affects the measurement of ultra-short and ultra-intense pulse SNR by the single-shot third-order auto-correlation (TOAC) method. The nonlinear coupled-wave equations with wavefront distortion have been solved numerically by the split-step Fourier method and the fourth-order Runge-Kutta numerical algorithm. The wavefront distortion of the under-test fundamental wave will be transmitted to the second harmonic and third harmonic, leading to the phase mismatch in the second harmonic generation (SHG) and third harmonic generation (THG), further resulting in the deterioration of the measured SNR. We analyze the influence of different spatial frequencies and peak-to-valley (PV) values on the measurements of SNR. The larger the spatial frequency or PV value of the wavefront distortion, the more severe the degradation of the SNR. © 2023 Elsevier B.V.
    Accession Number: 20240215363991
  • Record 256 of

    Title:A painting authentication method based on multi-scale spatial-spectral feature fusion and convolutional neural network
    Author(s):Zeng, Zimu(1,2); Zhang, Pengchang(1); Qiu, Shi(1); Li, Siyuan(1); Liu, Xuebin(1)
    Source:Computers and Electrical Engineering
    Volume: 118  Issue:   DOI: 10.1016/j.compeleceng.2024.109315  Published: August 2024  
    Abstract:The scientific authentication of paintings holds significant importance within the realm of art collection. Employing convolutional neural networks for the classification of authentic and counterfeit painting images based on color images is a viable but suboptimal choice. This study investigates the potential for authenticating paintings by incorporating high-spectral images alongside high-resolution spatial images. High-resolution and high-spectral images of genuine and counterfeit paintings were acquired using a push-broom digital scanning system. The processing methods presented in this approach for the acquired images are: 1) The study utilized the circular local binary pattern (LBP) and principal component analysis (PCA) to extract surface texture and spectral data from Chinese character images in paintings, encompassing both spatial and spectral dimensions. 2) The technique utilizing non-subsampling Shearlet transform (NSST) and pulse-coupled neural network (PCNN) was employed to integrate the spatial and spectral characteristics of the images into a pseudo-color image, producing a dataset of feature data for genuine and counterfeit paintings. 3) The experiments aimed to achieve the authenticity of artworks using EfficientNet v2-s, the hyperparameters of which were fine-tuned accordingly. The experimental findings demonstrate that this approach attained a 90.8 % accuracy on the test dataset, representing a 3.5 % enhancement over the existing top-performing three-dimensional convolutional neural network (3D-CNN). © 2024
    Accession Number: 20242216159530
  • Record 257 of

    Title:GLGAT-CFSL: Global–Local Graph Attention Network-Based Cross-Domain Few-Shot Learning for Hyperspectral Image Classification
    Author(s):Ding, Chen(1); Deng, Zhicong(1); Xu, Yaoyang(1); Zheng, Mengmeng(1); Zhang, Lei(2); Cao, Yu(3); Wei, Wei(2); Zhang, Yanning(2)
    Source:IEEE Transactions on Geoscience and Remote Sensing
    Volume: 62  Issue:   DOI: 10.1109/TGRS.2024.3407812  Published: 2024  
    Abstract:— Few-shot learning (FSL) is an effective approach to address the issue of limited labeled data in hyperspectral image classification (HSIC). However, it overlooks the domain shift between the source domain (SD) and the target domain (TD) in cross-domain tasks. Most existing domain adaptation (DA) methods alleviate the domain shift problem to some extent, but DA methods based on traditional convolutional operators overlook the nonlocal spatial relationships in HSI, while methods based on graph neural networks (GNNs), although effective in leveraging nonlocal spatial information for domain alignment, overly emphasize global relationships, which is disadvantageous for pixel-level classification in HSI. To solve these issues, this article proposes a novel globalp–local graph attention network-based cross-domain FSL (GLGAT-CFSL), which comprehensively reduces domain shift through global-to-local domain alignment. It has the following advantages: 1) an innovative dynamic triplet graph attention network is devised to identify nonlocal spatial relationships in HSI for global graph alignment (GGA) while also addressing common overfitting and oversmoothing issues in GNNs; 2) an ingenious local similarity learning (LSL) strategy is designed after global domain alignment, utilizing intradomain connectivity structures and interdomain node similarities for local DA, promoting cross-domain information propagation and more comprehensive reduction of domain shift; and 3) we propose a novel triaxial dynamic convolutional neural network (TDCNN) as the feature extractor, promoting cross-dimensional interaction between spectral and spatial dimensions, establishing a more generalizable and rich feature representation between the SD and the TD. The experimental results on three HSI datasets demonstrate the superiority and effectiveness of the proposed GLGAT-CFSL. © 2024 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
    Accession Number: 20242516280257
  • Record 258 of

    Title:Infrared imaging of magnetic octupole domains in non-collinear antiferromagnets
    Author(s):Wang, Peng(1,2); Xia, Wei(3,4); Shen, Jinhui(1,5); Chen, Yulong(1,5); Peng, Wenzhi(1,5); Zhang, Jiachen(1,5); Pan, Haolin(1,5); Yu, Xuhao(1,5); Liu, Zheng(5,6); Gao, Yang(5,6); Niu, Qian(5,6); Xu, Zhian(3); Yang, Hongtao(7); Guo, Yanfeng(3,4); Hou, Dazhi(1,5)
    Source:National Science Review
    Volume: 11  Issue: 6  DOI: 10.1093/nsr/nwad308  Published: June 1, 2024  
    Abstract:Magnetic structure plays a pivotal role in the functionality of antiferromagnets (AFMs), which not only can be employed to encode digital data but also yields novel phenomena. Despite its growing significance, visualizing the antiferromagnetic domain structure remains a challenge, particularly for non-collinear AFMs. Currently, the observation of magnetic domains in non-collinear antiferromagnetic materials is feasible only in Mn3Sn, underscoring the limitations of existing techniques that necessitate distinct methods for in-plane and out-of-plane magnetic domain imaging. In this study, we present a versatile method for imaging the antiferromagnetic domain structure in a series of non-collinear antiferromagnetic materials by utilizing the anomalous Ettingshausen effect (AEE), which resolves both the magnetic octupole moments parallel and perpendicular to the sample surface. Temperature modulation due to AEE originating from different magnetic domains is measured by lock-in thermography, revealing distinct behaviors of octupole domains in different antiferromagnets. This work delivers an efficient technique for the visualization of magnetic domains in non-collinear AFMs, which enables comprehensive study of the magnetization process at the microscopic level and paves the way for potential advancements in applications. © The Author(s) 2023. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.
    Accession Number: 20242016101916
  • Record 259 of

    Title:High repetition frequency tunability active Q-switched all-fiber laser by multi-gain sub-rings smoothing multipeak pulse and suppressing ASE self-saturation
    Author(s):Chen, Xuechun(1,2,3,4); Wang, Nan(1,2,3,4); He, Chaojian(2,3); Xu, Shuang(2,3,4); Ning, Chaoyu(2,3,4); Li, Xinyao(2,3,4); Dong, Zhiyong(2,3); Yang, Yingying(2,3); Yang, Guowen(1); Lin, Xuechun(2,3,4)
    Source: Optics Express  Volume: 32  Issue: 2  DOI: 10.1364/OE.515391  Published: January 15, 2024  
    Abstract:This paper provides a method to effectively suppress the severe ASE self-saturation when achieving high repetition frequency tunability with high output power and narrow pulse width in active Q-switched all-fiber lasers. By studying the regularity of the system’s multi-stable state, we first ensured that the laser system operated in a steady state. Then output avoids uneven distribution of pulse energy or missing pulses due to period bifurcation state or chaos state. By adding multiple gain sub-rings within the cavity, the sub-ring structure itself indirectly mitigates the ASE self-saturation while smoothing the pulse. The method will avoid the severe power loss caused by traditional smoothing methods by adjusting the AOM rising edge time. It will also avoid lowering the ASE lasing threshold at high repetition frequency. Meanwhile, the intra-cavity backward ASE can be effectively absorbed by inserting the gain fiber in the sub-rings to directly mitigate the ASE self-saturation. The system’s continuously adjustable repetition frequency can be as high as over 300 kHz. It ensures that output power above the watt level and a © 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.
    Accession Number: 20240415421892
  • Record 260 of

    Title:Metasurfaces-Empowered Optical Micromanipulation (Invited)
    Author(s):Xu, Xiaohao(1,2); Gao, Wenyu(1,2); Li, Tianyue(3,4); Shao, Tianhua(3,4); Li, Xingyi(5); Zhou, Yuan(1,2); Gao, Geze(3,4); Wang, Guoxi(1,2); Yan, Shaohui(1,2); Wang, Shuming(3,4); Yao, Baoli(1,2)
    Source: Guangxue Xuebao/Acta Optica Sinica  Volume: 44  Issue: 5  DOI: 10.3788/AOS231748  Published: March 2024  
    Abstract:Significance Optical micromanipulation utilizes optical force to dynamically control particles, which has the characteristics of non-contact and can be operated in a vacuum environment. Since the invention of optical tweezers in the 1980s, the field has experienced rapid development and has given rise to many emerging research directions, such as holographic optical tweezers, near-field evanescent wave optical tweezers, fiber optic tweezers, optoelectronic tweezers, and photo-induced temperature field optical tweezers, providing rich and powerful tools for fields such as biology, chemistry, nanoscience, and quantum technology. These methods can not only capture, separate, and transport small objects but also allow more precise manipulation, such as the rotation of small objects. However, traditional manipulation methods rely on tightly focused local light, greatly limiting the action range of optical force. In addition, in order to generate a structured light field, larger optical components such as spatial light modulators are usually required, making it difficult to miniaturize and integrate the optical manipulation system. In recent years, metasurfaces have emerged as integrated devices composed of subwavelength nanoantennas, promising new opportunities for optical micromanipulation. This ultra-thin artificial microstructure device can flexiblely control multiple degrees of freedom such as amplitude, phase, and polarization of light, by specially designing the geometric shape, size, and material of its own micro/nanostructure. Compared with traditional optical components such as liquid crystal spatial light modulators, gratings, and lenses, metasurfaces exhibit higher operating bandwidth, structural compactness, and integration. With the merits of miniaturization, integration, and excellent performance in light tailoring, optical metasurfaces have been extensively incorporated into the realm of optical micromanipulation. Especially, owing to their peculiar photomechanical properties, the metasurfaces hold the ability to be actuated by light fields, paving the way to the next generation of light-driven artificial micro-robots. The fast development of this subject indicates that the time is now ripe to overview recent progress in this cross-field. Progress We summarized principles of optical micromanipulation and metasurfaces (Fig. 1) and overviewed meta-manipulation devices, including metasurface-based optical tweezers (Fig. 2), tractor beams (Fig. 5), multifunctional micromanipulation systems (Fig. 3), and metamachines (Figs. 7 and 8). Furthermore, we provided a detailed discussion of novel mechanical effects, such as topological light manipulation, which stems from the topological characteristics of nanostructures (Fig. 6). Conclusions and Prospects We review the cutting-edge developments in the field of optical micromanipulation based on metasurfaces. The metasurface-based micromanipulation technology is expected to evolve toward higher temporal resolution, higher spatial accuracy, and lower manipulation power. To this end, more urgent requirements have been imposed on the underlying design scheme and experimental preparation standards of the metasurface. Although the introduction of metasurfaces has benefited micromanipulation systems and significantly reduced their sizes, there is still much room for further development and improvement in wide bands, multi-dimensional responses, and device thresholds. In terms of micromanipulation systems, the subwavelength-scale structure of metasurfaces will continue to be a key focus of research. Especially in the field of topological light manipulation, it is expected to further expand its research scope, combining non-Abelitan, non-Hermitian, and nonlinear effects to discover new physical phenomena. In the fields of biology and chemistry, metasurface technology is expected to be flexibly applied on smaller scales, even achieving manipulation of single molecule-level objects. This technology is expected to be further applied to the fields such as battery quality inspection and targeted therapy, bringing changes to the basic research and practical applications of energy and life sciences. Specifically, in the development of ultrafast optics, metasurfaces are gradually exhibiting unique advantages. Nanoscale superlattice enables high-resolution spectral measurements, and the design of nonlinear superlattice surfaces can be used to enhance nonlinear effects or generate high-order harmonics, making high time resolution transient micromanipulation technology possible. Overall, the technological evolution from traditional optical micromanipulation to meta-manipulation will continue to drive the vigorous development of nanophotonics. This technological paradigm not only meets the needs of various basic research but also arouses more innovative applications, opening up new prospects for branched sciences and technologies. © 2024 Chinese Optical Society. All rights reserved.
    Accession Number: 20241215789339
  • Record 261 of

    Title:The role of eye movement signals in non-invasive brain-computer interface typing system
    Author(s):Liu, Xi(1,2,3); Hu, Bingliang(1,3); Si, Yang(4,5); Wang, Quan(1,3)
    Source: Medical and Biological Engineering and Computing  Volume:   Issue:   DOI: 10.1007/s11517-024-03070-7  Published: 2024  
    Abstract:Brain-Computer Interfaces (BCIs) have shown great potential in providing communication and control for individuals with severe motor disabilities. However, traditional BCIs that rely on electroencephalography (EEG) signals suffer from low information transfer rates and high variability across users. Recently, eye movement signals have emerged as a promising alternative due to their high accuracy and robustness. Eye movement signals are the electrical or mechanical signals generated by the movements and behaviors of the eyes, serving to denote the diverse forms of eye movements, such as fixations, smooth pursuit, and other oculomotor activities like blinking. This article presents a review of recent studies on the development of BCI typing systems that incorporate eye movement signals. We first discuss the basic principles of BCI and the recent advancements in text entry. Then, we provide a comprehensive summary of the latest advancements in BCI typing systems that leverage eye movement signals. This includes an in-depth analysis of hybrid BCIs that are built upon the integration of electrooculography (EOG) and eye tracking technology, aiming to enhance the performance and functionality of the system. Moreover, we highlight the advantages and limitations of different approaches, as well as potential future directions. Overall, eye movement signals hold great potential for enhancing the usability and accessibility of BCI typing systems, and further research in this area could lead to more effective communication and control for individuals with motor disabilities. Graphical Abstract: This article delves into three pivotal components of the BCI typing system: data, algorithms, and interaction. The system leverages eye movement and EEG data as inputs, which are processed through algorithms for data fusion, feature extraction, and classification to yield output results. Furthermore, it facilitates real-time interaction by providing visual feedback via an efficient user interface. (Figure presented.). © International Federation for Medical and Biological Engineering 2024.
    Accession Number: 20241215789908
  • Record 262 of

    Title:Multispectral Image Quality Improvement Based on Global Iterative Fusion Constrained by Meteorological Factors
    Author(s):Shi, Yuetian(1,2); Fu, Bin(3); Wang, Nan(1,2); Chen, Yaxiong(4); Fang, Jie(5,6)
    Source: Cognitive Computation  Volume: 16  Issue: 1  DOI: 10.1007/s12559-023-10207-7  Published: January 2024  
    Abstract:It has been proven that the refractive index is related to meteorological parameters in physics. The temperature changes the atmospheric and lens refractive indices, resulting in image degradation. Image restoration aims to recover the sharp image from the degraded images. It is also the basis of many computer vision tasks. A series of methods have been explored and used in this area. Sometimes, meteorological factors cause image degradation. Most of the existing image restoration methods do not consider meteorological factors’ influence on image degradation. How meteorological factors affect image quality is not yet known. A multispectral image dataset with corresponding meteorological parameters is presented to solve the problem. We propose a novel multispectral image restoration algorithm using global iterative fusion. The proposed method firstly enhances image edge features through spatial filtering. Then, the Gaussian function is used to constrain the weights between each channel in the image. Finally, a global iterative fusion method is used to fuse image spatial and spectral features to obtain an improved multispectral image. The algorithm explores the impact of meteorological factors on image quality. It considers the impact of atmospheric factors on image quality and incorporates it into the image restoration process. Extensive experimental results illustrate that the method achieves favorable performance on real data. The proposed algorithm is also more robust than other state-of-the-art algorithms. In this paper, we present an algorithm for improving the quality of multispectral images. The proposed algorithm incorporates the influence of meteorological parameters into the image restoration method to better describe the relationship between different spectral channels. Extensive experiments are conducted to validate the effectiveness of the algorithm. Additionally, we investigate the impact of near-surface meteorological parameters on multispectral image quality. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
    Accession Number: 20234314934471
  • Record 263 of

    Title:Saturable absorption properties and ultrafast photonics applications of HfS3
    Author(s):Li, Lu(1); Xue, Ze(1); Pang, Lihui(2); Xiao, Xusheng(3); Yang, Huiran(1); Zhang, Jinniu(1); Zhang, Yaming(1); Zhao, Qiyi(1); Liu, Wenjun(4)
    Source: Optics Letters  Volume: 49  Issue: 5  DOI: 10.1364/OL.513573  Published: March 1, 2024  
    Abstract:In this Letter, we focus on investigating the ultrafast photonics applications of two-layer HfS3 nanosheets. We prepared two-layer HfS3 nanosheets and carried out experiments to study their nonlinear saturable absorption properties. The results showed that the two-layer HfS3-based saturable absorber exhibited a modulation depth of 16.8%. Additionally, we conducted theoretical calculations using first principles to estimate the structural and electronic band properties of the two-layer HfS3 material. Furthermore, we utilized the two-layer HfS3 materials as SAs in an erbium-doped fiber cavity to generate mode-locked laser pulses. We measured a repetition frequency of 8.74 MHz, a pulse duration of 540 fs, and a signal-to-noise ratio of 77 dB. Overall, our findings demonstrate that the two-layer HfS3 material can serve as a reliable saturable absorber, possessing properties comparable to currently used two-dimensional materials. This expands the application fields of HfS3 materials and highlights their potential for advanced optoelectronic devices. © 2024 Optica Publishing Group.
    Accession Number: 20241015683562
  • Record 264 of

    Title:Site-Selective Synthesis of Bilayer Graphene on Cu Substrates Using Titanium as a Carbon Diffusion Barrier
    Author(s):Song, Qiyang(1); Zhang, Youwei(1,2); Chen, Qiao(1); Wu, Su(1); Yan, Xin(3); He, Kai(3); Gao, Guilong(3); Chen, Qiao(4); Zhang, Butian(1); Wang, Shun(1)
    Source: SSRN  Volume:   Issue:   DOI: 10.2139/ssrn.4707698  Published: January 26, 2024  
    Abstract:Chemical Vapor Deposition (CVD) is a widely used method for graphene synthesis, but it struggles to produce large-area uniform bilayer graphene (BLG). This study introduces a novel approach to meet the demands of large-scale integrated circuit applications, challenging the conventional reliance on uniform BLG over extensive areas. We developed a unique method involving the direct growth of bilayer graphene arrays (BLGA) on Cu foil substrates using patterned Titanium (Ti) as a diffusion barrier. The use of the Ti layer can effectively control carbon atom diffusion through the Cu foil without altering the growth conditions or compromising the graphene quality, thereby showcasing its versatility. The approach allows for targeted BLG growth and achieved a yield of 100% for a 10×10 BLG units array. Then a 10×10 BLG memristor array was fabricated and a yield of 96% was achieved. The performances of these devices show good uniformity, evidenced by the set voltages concentrated around 4V, and a high resistance state (HRS) to low resistance state (LRS) ratio predominantly around 107, reflecting the spatial uniformity of the prepared BLGA. This study provides insight into the BLG growth mechanism and opens new possibilities for BLG-based electronics. © 2024, The Authors. All rights reserved.
    Accession Number: 20240051144