2024
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Record 181 of
Title:Fabricating S-scheme Sb2S3@CdSexS1–x quasi-one-dimensional heterojunction photoanodes by in-situ growth strategy towards photoelectrochemical water splitting
Author Full Names:Liu, Dekang(1); Zhang, Dekai(1); Wang, Yishan(2); Liu, Enzhou(3); Miao, Hui(1)Source Title:Journal of Materials Science and TechnologyLanguage:EnglishDocument Type:Journal article (JA)Abstract:Nowadays, energy and environmental problems are becoming increasingly prominent in society, the development of clean and environmentally friendly energy is in line with the construction of ecological civilization and energy, which have attracted the attention of many researchers over the past decades. Narrow band gap semiconductor Sb2S3 is widely used in the area of solar cells because of its high light absorption coefficient and suitable bandgap width. However, numerous deep-level defects provide plentiful photogenerated carrier recombination sites, which restricts the improvement of photoelectrochemical properties seriously. In this work, S-scheme Sb2S3@CdSexS1–x core-shell quasi-one-dimensional heterojunction photoanodes were prepared on the FTO substrate by a two-step vapor transport deposition (VTD) method, chemical bath deposition (CBD) and in-situ selenization method. The results showed that CdSexS1–x nanoparticles (NPs) were tightly coated on the Sb2S3 nanorods (NRs). The photocurrent density of the Sb2S3@CdSexS1–x photoanodes was 1.61 mA cm–2 under 1.23 VRHE. Compared with the Sb2S3 photoanodes (0.61 mA cm–2), Sb2S3@CdSexS1–x photoanodes obtained a 2.64-fold improvement, and the dark current was effectively reduced. It showed excellent stability and fast photocurrent response in a 600 s optical stability test. It was concluded that: (1) The charge transfer mechanism of the S-scheme can avoid the problem of high recombination rate of photogenerated charge carriers due to the defects of Sb2S3 effectively, and realized spatial separation of photogenerated carriers. (2) The [hk1] oriented Sb2S3 NRs and the formed quasi-one-dimensional heterostructures promote efficient carrier transport. (3) The introduction of Se effectively regulated the band structure of CdS, slowed down the photocorrosion of S, and improved the stability of the photoelectrodes significantly. ? 2024Affiliations:(1) School of Physics, Northwest University, Xi'an; 710127, China; (2) State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi'an; 710119, China; (3) School of Chemical Engineering, Northwest University, Xi'an; 710127, ChinaPublication Year:2024Volume:201Start Page:250-260DOI Link:10.1016/j.jmst.2024.02.049數(shù)據(jù)庫ID（收錄號）:20241916035918 -
Record 182 of
Title:An efficient multi-scale transformer for satellite image dehazing
Author Full Names:Yang, Lei(1,2); Cao, Jianzhong(1,2); Chen, Weining(1); Wang, Hao(1); He, Lang(3,4,5)Source Title:Expert SystemsLanguage:EnglishDocument Type:Journal article (JA)Abstract:Given the impressive achievement of convolutional neural networks (CNNs) in grasping image priors from extensive datasets, they have been widely utilized for tasks related to image restoration. Recently, there is been significant progress in another category of neural architectures—Transformers. These models have demonstrated remarkable performance in natural language tasks and higher-level vision applications. Despite their ability to address some of CNNs limitations, such as restricted receptive fields and adaptability issues, Transformer models often face difficulties when processing images with a high level of detail. This is because the complexity of the computations required increases significantly with the image's spatial resolution. As a result, their application to most high-resolution image restoration tasks becomes impractical. In our research, we introduce a novel Transformer model, named DehFormer, by implementing specific design modifications in its fundamental components, for example, the multi-head attention and feed-forward network. Specifically, the proposed architecture consists of the three modules, that is, (a) multi-scale feature aggregation network (MSFAN), (b) the gated-Dconv feed-forward network (GFFN), (c) and the multi-Dconv head transposed attention (MDHTA). For the MDHTA module, our objective is to scrutinize the mechanics of scaled dot-product attention through the utilization of per-element product operations, thereby bypassing the need for matrix multiplications and operating directly in the frequency domain for enhanced efficiency. For the GFFN module, which enables only the relevant and valuable information to advance through the network hierarchy, thereby enhancing the efficiency of information flow within the model. Extensive experiments are conducted on the SateHazelk, RS-Haze, and RSID datasets, resulting in performance that significantly exceeds that of existing methods. ? 2024 John Wiley & Sons Ltd.Affiliations:(1) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China; (2) School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China; (3) School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, China; (4) Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an University of Posts and Telecommunications, Xi'an, China; (5) Xi'an Key Laboratory of Big Data and Intelligent Computing, Xi'an University of Posts and Telecommunications, Xi'an, ChinaPublication Year:2024Volume:41Issue:8Article Number:e13575DOI Link:10.1111/exsy.13575數(shù)據(jù)庫ID（收錄號）:20241315812824 -
Record 183 of
Title:Design optical surface as the measurement datum in measuring gear tooth flank by symmetrical laser interferometer
Author Full Names:Zhu, Xindong(1); Chen, Zhongqiang(2); Yang, Pengcheng(3); Huang, Xiaoting(1); Guo, Zhenyu(1); Chang, Zehong(1); Wang, Xian(4); Zhang, Pei(1)Source Title:Optics and Laser TechnologyLanguage:EnglishDocument Type:Journal article (JA)Abstract:Laser interferometry is a promising method to measure the form deviation of gear tooth flanks. The lack of measurement datum is the bottleneck problem of measuring a gear tooth flank by laser interferometry. Manufacturing a physical reference gear tooth flank as the measurement datum has many drawbacks which restrain the application prospect of measuring gear by laser interferometry. Optical surfaces are more mature to manufacture and have much higher processing accuracy compared with the physical reference tooth flank. Thus, we design and use an optical surface as the measurement datum. First, we invent a symmetrical oblique incidence laser interferometer (SOILI) to reduce the interference fringe's density and enhance the tractability of interferograms. Second, we propose a design method for calculating the measured tooth flank's similar optical surface. Lastly, we propose the nonparallel plate model which is a general form of the parallel plate model and can be used to calculate the situations where the normal directions of the measured surface and the reference surface are different. Experimental results verify that an optical surface can be designed and used as the measurement datum. Furthermore, this research provides some references for the measurement datum in the relevant comparative measurements processes by laser interferometry. ? 2023 Elsevier LtdAffiliations:(1) Ministry of Education Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Shaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic Devices, School of Physics, Xi'an Jiaotong University, Xi'an; 710049, China; (2) State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an; 710049, China; (3) Mechanical and Electrical Engineering College, Xi'an Polytechnic University, Xi'an; 710048, China; (4) School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an; 710048, ChinaPublication Year:2024Volume:169Article Number:110034DOI Link:10.1016/j.optlastec.2023.110034數(shù)據(jù)庫ID（收錄號）:20233714710618 -
Record 184 of
Title:High-performance architecture for real-time high-definition short-wave infrared streaming video processing and its field programmable gate array prototype
Author Full Names:Zhou, Feng(1,2,3); Chen, Zhiqiang(1,2,3); Xie, Qingsheng(1,3); Kong, Fanzi(1,2,3); Chen, Yaohong(1,3); Wang, Huawei(1,3)Source Title:Optical EngineeringLanguage:EnglishDocument Type:Journal article (JA)Abstract:Image detail enhancement is critical to the performance of short-wave infrared (SWIR) imaging systems. Recently, the requirement for real-time processing of high-definition (HD) SWIR video has shown rapid growth. Nevertheless, the research on field programmable gate array (FPGA) implementation of HD SWIR streaming video processing architecture is relatively few. This work proposes a real-time FPGA architecture of SWIR video enhancement by combining the difference of Gaussian filter and plateau equalization. To accelerate the algorithm and reduce memory bandwidth, two efficient key architectures, namely edge information extraction and equalization and remapping architecture, are proposed to sharpen edges and improve dynamic range. The experimental results demonstrated that the proposed architecture achieved a real-time processing of 1280 × 1024@60Hz with 2.7K lookup tables, 2.5K Slice Reg, and about 350 kb of block RAM consumption, and their utilization reached 12.5%, 19.2%, and 12.5% for the XC7A200T FPGA board, respectively. Moreover, the proposed architecture is fully pipelined and synchronized to the pixel clock of output video, meaning that it can be seamlessly integrated into diverse real-time video processing systems. ? 2024 Society of Photo-Optical Instrumentation Engineers (SPIE)Affiliations:(1) Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, Xi'an, China; (2) University of Chinese Academy of Sciences, Beijing, China; (3) Xi'an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology, Xi'an, ChinaPublication Year:2024Volume:63Issue:2Article Number:023103DOI Link:10.1117/1.OE.63.2.023103數(shù)據(jù)庫ID（收錄號）:20241115712686 -
Record 185 of
Title:Imaging-based measurement of lunar dust velocity and particle size
Author Full Names:Dai, YiDan(1,2); Xue, Bin(1); Zhao, YiYi(1); Tao, JinYou(1); Yang, JianFeng(1)Source Title:Applied OpticsLanguage:EnglishDocument Type:Journal article (JA)Abstract:This paper introduces an optical–mechanical system designed for the dynamic detection and analysis of lunar dust, typically characterized as particles under 20 micrometers on the lunar surface. The system’s design is both compact and lightweight, aligning with the payload constraints of lunar exploration missions. It is capable of real-time tracking and recording the motion of lunar dust at various altitudes, a crucial capability for understanding the environmental dynamics of the lunar surface. By capturing images and applying sophisticated algorithms, the system accurately measures the velocity and size of dust particles. This approach significantly advances the quantitative analysis of lunar dust, especially during agitation events, filling a critical gap in our current understanding of lunar surface phenomena. The insights gained from this study are not only pivotal for developing theoretical models of lunar surface air flow disturbances and dust movement but also instrumental in designing effective dust mitigation and hazard avoidance strategies for future lunar missions, thereby enhancing both scientific knowledge and the engineering applications in lunar exploration. ? 2024 Optica Publishing Group.Affiliations:(1) Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shaanxi, Xi’an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, ChinaPublication Year:2024Volume:63Issue:9Start Page:2218-2226DOI Link:10.1364/AO.516801數(shù)據(jù)庫ID（收錄號）:20241315795715 -
Record 186 of
Title:Fourier ptychographic microscopy with adaptive resolution strategy
Author Full Names:Xu, Jinghao(1,2); Feng, Tianci(1,2); Wang, Aiye(1,2); Xu, Fannuo(1,2); Pan, An(1,2)Source Title:Optics LettersLanguage:EnglishDocument Type:Journal article (JA)Abstract:Fourier ptychographic microscopy (FPM) is a method capable of reconstructing a high-resolution, wide field-of-view (FOV) image, where dark-field images provide the high-frequency information required for the iterative process. Theoretically, using more dark-field images can lead to results with higher resolution. However, the resolution required to clearly detect samples with different microscales varies. For certain samples, the limit resolution of the imaging system may exceed the one required to resolve the details. This suggests that simply increasing the number of dark-field images will not improve the recognition capability for such samples and may instead significantly increase the computational cost. To address this issue, this Letter proposes an adaptive resolution strategy that automatically assigns the resolution required for the sample. Based on a Tenengrad approach, this strategy determines the number of images required for reconstruction by evaluating a series of differential images among the reconstructions for a certain subregion and then efficiently completes the full-FOV reconstruction according to the determined resolution. We conducted the full-FOV reconstruction utilizing feature-domain FPM for both the USAF resolution test chart and a human red blood cell sample. Employing the adaptive resolution strategy, the preservation of reconstruction resolution can be ensured while respectively economizing approximately 76% and 89% of the time. ? 2024 Optica Publishing Group.Affiliations:(1) Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, ChinaPublication Year:2024Volume:49Issue:13Start Page:3548-3551DOI Link:10.1364/OL.525289數(shù)據(jù)庫ID（收錄號）:20242816657521 -
Record 187 of
Title:Structural design and cryogenic stability analysis for long-wave infrared spatial heterodyne spectrometers
Author Full Names:Wu, Yang(1,2); Feng, Yutao(1); Han, Bin(1); Wu, Junqiang(1); Sun, Jian(1)Source Title:Applied OpticsLanguage:EnglishDocument Type:Journal article (JA)Abstract:Under cryogenic conditions, long-wave infrared spatial heterodyne spectrometers (LWIR-SHSs) may exhibit variations in the inclination, frequency, and distortion of their interference fringes, which can affect the system’s performance. To address the stability issues associated with cryogenics, an analysis and simulation of the optomechanical system’s performance were conducted under such conditions. Employing a structural thermal optical performance (STOP) analysis, an integrated micro-stress dynamic flexible support structure for the LWIR-SHS was designed. The optimized system ensured stable operation under cryogenic conditions, maintaining the relative positional deviation of the key components below 0.00146 mm, the relative angular deviation within 25.98400, and the inclination of interference fringes in both simulation and tests less than 21?. Furthermore, in comparison to the initial system, the interference fringe distortion also decreased significantly. Cryogenic testing of the entire system validated the optimized structure’s effectiveness in minimizing variations of the interferogram, aligning with simulation predictions. This outcome demonstrates the optimization strategy’s substantial impact on enhancing both the structural stability and operational performance of the cryogenic infrared optical system. ? 2024 Optica Publishing Group.Affiliations:(1) Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, ChinaPublication Year:2024Volume:63Issue:30Start Page:8044-8053DOI Link:10.1364/AO.540922數(shù)據(jù)庫ID（收錄號）:20244417297014 -
Record 188 of
Title:CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task
Author Full Names:Yang, Kangzhen(1); Hu, Tao(1); Dai, Kexin(1); Chen, Genggeng(2); Cao, Yu(3); Dong, Wei(2); Wu, Peng(1); Zhang, Yanning(1); Yan, Qingsen(1)Source Title:IEEE Computer Society Conference on Computer Vision and Pattern Recognition WorkshopsLanguage:EnglishDocument Type:Conference article (CA)Conference Title:2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024Conference Date:June 16, 2024 - June 22, 2024Conference Location:Seattle, WA, United statesAbstract:In real-world scenarios, images captured often suffer from blurring, noise, and other forms of image degradation, and due to sensor limitations, people usually can only obtain low dynamic range images. To achieve high-quality images, researchers have attempted various image restoration and enhancement operations on photographs, including denoising, deblurring, and high dynamic range imaging. However, merely performing a single type of image enhancement still cannot yield satisfactory images. In this paper, to deal with the challenge above, we propose the Composite Refinement Network (CRNet) to address this issue using multiple exposure images. By fully integrating information-rich multiple exposure inputs, CRNet can perform unified image restoration and enhancement. To improve the quality of image details, CRNet explicitly separates and strengthens high and low-frequency information through pooling layers, using specially designed Multi-Branch Blocks for effective fusion of these frequencies. To increase the receptive field and fully integrate input features, CRNet employs the High-Frequency Enhancement Module, which includes large kernel convolutions and an inverted bottleneck ConvFFN. Our model secured third place in the first track of the Bracketing Image Restoration and Enhancement Challenge, surpassing previous SOTA models in both testing metrics and visual quality. ? 2024 IEEE.Affiliations:(1) Northwestern Polytechnical University, China; (2) Xi'an University of Architecture and Technology, China; (3) Xi'an Institute of Optics and Precision Mechanics of Cas, ChinaPublication Year:2024Start Page:6086-6096DOI Link:10.1109/CVPRW63382.2024.00615數(shù)據(jù)庫ID（收錄號）:20244217222948 -
Record 189 of
Title:CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task
Author Full Names:Yang, Kangzhen(1); Hu, Tao(1); Dai, Kexin(1); Chen, Genggeng(2); Cao, Yu(3); Dong, Wei(2); Wu, Peng(1); Zhang, Yanning(1); Yan, Qingsen(1)Source Title:arXivLanguage:EnglishDocument Type:Preprint (PP)Abstract:In real-world scenarios, images captured often suffer from blurring, noise, and other forms of image degradation, and due to sensor limitations, people usually can only obtain low dynamic range images. To achieve high-quality images, researchers have attempted various image restoration and enhancement operations on photographs, including denoising, deblurring, and high dynamic range imaging. However, merely performing a single type of image enhancement still cannot yield satisfactory images. In this paper, to deal with the challenge above, we propose the Composite Refinement Network (CRNet) to address this issue using multiple exposure images. By fully integrating information-rich multiple exposure inputs, CRNet can perform unified image restoration and enhancement. To improve the quality of image details, CRNet explicitly separates and strengthens high and low-frequency information through pooling layers, using specially designed Multi-Branch Blocks for effective fusion of these frequencies. To increase the receptive field and fully integrate input features, CRNet employs the High-Frequency Enhancement Module, which includes large kernel convolutions and an inverted bottleneck ConvFFN. Our model secured third place in the first track of the Bracketing Image Restoration and Enhancement Challenge, surpassing previous SOTA models in both testing metrics and visual quality. Copyright ? 2024, The Authors. All rights reserved.Affiliations:(1) Northwestern Polytechnical University, China; (2) Xi'an University of Architecture and Technology, China; (3) Xi'an Institute of Optics and Precision Mechanics of CAS, ChinaPublication Year:2024DOI Link:10.48550/arXiv.2404.14132數(shù)據(jù)庫ID（收錄號）:20240193624 -
Record 190 of
Title:Topology Optimization with Explicit Components Considering Stress Constraints
Author Full Names:Ma, Yubao(1,2); Li, Zhiguo(1); Wei, Yuxuan(1,2); Yang, Kai(1,2)Source Title:Applied Sciences (Switzerland)Language:EnglishDocument Type:Journal article (JA)Abstract:Topology optimization focuses on the conceptual design of structures, characterized by a large optimization space and a significant impact on structural performance, and has been widely applied in industrial fields such as aviation and aerospace. However, most topology optimization methods prioritize structural stiffness and often overlook stress levels, which are critical factors in engineering design. In recent years, explicit topology optimization methods have been extensively developed due to their ability to produce clear boundaries and their compatibility with CAD/CAE systems. Nevertheless, research on incorporating stress constraints within the explicit topology optimization framework remains scarce. This paper is dedicated to investigating stress constraints within the explicit topology optimization framework. Due to the clear boundaries and absence of intermediate density elements in the explicit topology optimization framework, this approach avoids the challenge of stress calculation for intermediate density elements encountered in the traditional density method. This provides a natural advantage in solving topology optimization problems considering stress constraints, resulting in more accurate stress calculations. Compared with existing approaches, this paper proposes a novel component topology description function that enhances the deformability of components, improving the representation of geometric boundaries. The lower-bound Kreisselmeier–Steinhauser aggregation function is employed to manage the stress constraint, reducing the solution scale and computational burden. The effectiveness of the proposed method is demonstrated through two classic examples of topology optimization. ? 2024 by the authors.Affiliations:(1) Xi’an Institute of Optics and Precision Mechanics of CAS, Xi’an; 710119, China; (2) School of Optoelectronics, University of Chinese Academy of Sciences, Beijing; 100049, ChinaPublication Year:2024Volume:14Issue:16Article Number:7171DOI Link:10.3390/app14167171數(shù)據(jù)庫ID（收錄號）:20243516964969 -
Record 191 of
Title:Exploring the Connection between Eye Movement Parameters and Eye Fatigue
Author Full Names:Sun, Weifeng(1,2,3); Wang, Yuqi(1,3); Hu, Bingliang(1,3); Wang, Quan(1,3)Source Title:Journal of Physics: Conference SeriesLanguage:EnglishDocument Type:Conference article (CA)Conference Title:2023 4th Asia Conference on Computers and Communications, ACCC 2023Conference Date:December 15, 2023 - December 17, 2023Conference Location:Virtual, Online, ChinaAbstract:Eye fatigue, a prominent symptom of computer vision syndrome (CVS), has gained significant attention in various domains due to the increasing diversification of electronic display devices and their widespread usage scenarios. The COVID-19 pandemic has further intensified the reliance on these devices, leading to prolonged screen time. This study aimed to investigate the effectiveness of utilizing eye movement patterns in discriminating fatigue during the usage of electronic display devices. Eye movement data was collected from subjects experiencing different levels of fatigue, and their fatigue levels were recorded using the T/CVIA-73-2019 scale. The analysis revealed that features related to the pupils demonstrated a high level of confidence and reliability in distinguishing fatigue, especially related to pupil size. However, features associated with fixations, such as fixation duration and frequency, did not significantly contribute to fatigue discrimination. Furthermore, the study explored the influence of subjective awareness on fatigue discrimination. By modifying the experimental settings and considering the subjects' subjective perception, it was observed that individual consciousness and self-awareness played a crucial role in fatigue discrimination. The implications of these findings extend beyond the field of computer vision syndrome, offering potential applications in developing interventions and strategies to alleviate eye fatigue and promote eye health among individuals who extensively use electronic display devices. ? Published under licence by IOP Publishing Ltd.Affiliations:(1) Key Laboratory of Spectral Imaging Technology, Xi'An Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences, Xi'an, China; (2) University of Chinese Academy of Sciences, Beijing, China; (3) Key Laboratory of Biomedical Spectroscopy of xi'An, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, ChinaPublication Year:2024Volume:2722Issue:1Article Number:012013DOI Link:10.1088/1742-6596/2722/1/012013數(shù)據(jù)庫ID（收錄號）:20241916032392 -
Record 192 of
Title:Characterization of primary silicate minerals in Earth-like bodies via Raman spectroscopy
Author Full Names:Huang, Shuaidong(1,2); Xue, Bin(1,2); Zhao, Yiyi(1,2); Yang, Jianfeng(1,2)Source Title:Journal of Raman SpectroscopyLanguage:EnglishDocument Type:Journal article (JA)Abstract:The examination and identification of silicate minerals are critical for advancing our understanding of the evolutionary journey of Earth-like bodies. To facilitate an efficient and productive process, it is imperative that these minerals be detected swiftly and accurately. This study is designed to explore the relationship between varying concentrations of cations and their corresponding Raman shifts. The focus is on primary silicate minerals in Earth-like bodies, specifically olivine, pyroxene, and feldspar, utilizing data from the RRUFF database. Employing a fitting formula, we identify distinct Raman peak ranges associated with different silicate minerals. Our research covers a wide array of mineral types, including five varieties of olivine (forsterite [Mg2SiO4], fayalite [Fe2+2SiO4], tephroite [Mn2+2SiO4], monticellite [CaMgSiO4], and kirschsteinite [CaFe2+SiO4]), four types of pyroxene (ferrosilite [Fe2+2Si2O6], enstatite [Mg2Si2O6], hedenbergite [CaFe2+Si2O6], and diopside [CaMgSi2O6]), and three varieties of feldspar (alkali feldspar [KAlSi3O8], albite [NaAlSi3O8], and anorthite [CaAl2Si2O8]). The accuracy of matching Raman characteristics is exceptionally high for all olivine and pyroxene types (100%) and an impressive 86% for feldspar. The findings from this study highlight the crucial role of Raman spectroscopy in the field of silicate mineralogy and suggest significant implications for enhancing future exploration missions to Earth-like bodies. ? 2024 John Wiley & Sons Ltd.Affiliations:(1) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi'an, China; (2) University of Chinese Academy of Sciences, Beijing, ChinaPublication Year:2024Volume:55Issue:5Start Page:625-636DOI Link:10.1002/jrs.6657數(shù)據(jù)庫ID（收錄號）:20240615494176