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Superconducting nanostrip single photon detectors fabricated of aluminum thin-films

Superconductivity 2024年第2期10卷 13-17页

作者： Yuting Jiang Xingyu Zhang Hui Zhou Xiaofu Zhang Hao Li Lixing You National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences(CAS)865 Changning Rd.Shanghai 200050China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Marine Resource Utilization in South China Sea Hainan UniversityNo.58Renmin AvenueHaikouHainan 570228China

We systematically investigated the detection performance of Al nanostrips for single photons at various *** Al films were deposited using magnetron sputtering,and the sophisticated nanostructures and morphology of the deposited films were revealed through high-resolution transmission electron *** fabricated Al meander nanostrips,with a thickness of 4.2 nm and a width of 178 nm,exhibited a superconducting transition temperature of 2.4 K and a critical current of approximately 5μA at 0.85 *** the Al nanostrips demonstrated a saturated internal quantum efficiency for 405-nm photons,the internal detection efficiency exhibited an exponential dependence on bias current without any saturation tendency for 1550-nm *** behavior can be attributed to the relatively large diffusion coefficient and coherence length of the Al *** further narrowing the nanostrip width,the Al-SNSPDs remain capable of effectively detecting single telecom photons to facilitate practical applications.

关键词： Aluminum thin-film Superconducting film Superconducting nanostrip single-photon detector

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Polyp Segmentation Neural Network with Simple Encoding Structure and Reverse Attention Module 13

Polyp Segmentation Neural Network with Simple Encoding Struc...

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13th International Conference on information technology in Medicine and Education, ITME 2023

作者： Wang, Jie Li, Zuoyong Xu, Haiping Cheng, Xuesong Teng, Shenghua College of Electronic and Information Engineering Shandong University of Science and Technology Qingdao266590 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou350121 China Fujian Key Laboratory of Medical Big Data Engineering Fujian Provincial Hospital Fuzhou350001 China College of Mathematics and Data Science Minjiang University Fuzhou350121 China

ISBN: (纸本)9798350319156

Colorectal cancer is a common malignancy. In colonoscopy images, computer-assisted polyp segmentation helps doctors diagnose and treat disorders more precisely. In recent years, some methods based on deep convolutional neural networks have made significant breakthroughs in this task. However, only a few algorithms explicitly consider the effect of light intensity on segmentation performance, which results in algorithms needing to be more robust for complex samples. This paper proposes a neural network combining a simple encoding structure with a reverse attention module. Specifically, the model uses HarDNet68 as the backbone network, adds a camouflage identification module (CIM) to enhance the capture of polyp details on the underlying features, and finally utilizes adaptive feature fusion with the reverse attention module (RAM). The proposed model effectively addresses the challenge of poor segmentation quality in colonoscopy images caused by inconsistent illumination. Extensive experiments on five datasets show that the proposed model performs well in polyp segmentation. © 2023 IEEE.

关键词： Diseases

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Design and Construction of a Spherical Magnet Array for Multi-dimensional Tactile Perception

Design and Construction of a Spherical Magnet Array for Mult...

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2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

作者： Gui, Mei-Jiang Zhou, Xiao-Hu Xie, Xiao-Liang Liu, Shi-Qi Feng, Zhen-Qiu Li, Hao Xiang, Tian-Yu Huang, De-Xing Yao, Bo-Xian Hou, Zeng-Guang Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China Cas Center for Excellence in Brain Science and Intelligence Technology Beijing100190 China Macau University of Science and Technology Joint Laboratory of Intelligence Science and Technology Institute of Systems Engineering 999078 China

ISBN: (纸本)9798350327182

Soft magnetic sensors provide considerable merits for tactile perception, such as high precision, simple wiring, and easy expansion to large sensing areas. However, current magnetic sensors basically rely on data-driven methods, difficult to establish the relationship for the two-stage conversion (i.e., from magnetic signals to spatial displacements, then to force signals). In this study, a spherical magnet array is designed with magnetic powder and hyper-elastic rubber for multi-dimensional tactile perception. Besides, a highly interpretable and calculable method is proposed to analyze the two-stage conversion according to magnetic dipole model and dynamic Young's modulus. A nine-spherical-magnet array is constructed, and extensive analysis in terms of different magnet numbers are conducted in COMSOL environments. The results demonstrate the proposed method's high accuracy with mean square errors of 0.02 mT and 9.90 mN for the two stages, respectively. This fact also indicates the great potential of our method to various applications of tactile perception. © 2023 IEEE.

关键词： Mean square error

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Research on Rolling Bearing Fault Diagnosis Based on Classification Generative Adversarial Network

Research on Rolling Bearing Fault Diagnosis Based on Classif...

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent systems, DAMAS 2023, International Conference on Maintenance engineering, IncoME-V 2023, International conference on the Efficiency and Performance engineering Network, TEPEN 2023

作者： Kang, Ma Hongjun, Wang School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing100192 China Beijing International Science and Technology Cooperation Base for Intelligent Sensing and Control of High-End Equipment Beijing100192 China Beijing Key Laboratory of Measurement and Control of Electromechanical System Beijing100192 China

ISBN: (纸本)9783031494123

In practical engineering, it is usually difficult to label monitoring data, and the fault diagnosis accuracy is not high in strong noise environment. To solve the above problems, this paper uses Cwt-CatGAN method to process signals and diagnose faults. In this method, CWT is first used to convert one-dimensional original vibration signals into two-dimensional time–frequency graphs as the input of classification generation admixture network. Then, the CatGAN model is obtained through the adversarial training process, and fake samples similar to the extraction distribution of CWT are generated. Finally, the input samples are clustered into certain categories. In addition, the performance of the Cwt-CatGAN method is verified by using the classical rotating machine data set, the experiment is compared with the unsupervised fault diagnosis model CatAAE. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Failure analysis

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Electrical Dispersion Pre-Compensation Based on Multi-Output Neural Network for 200 Gbps O-band IM-DD Short Reach Optical systems

Electrical Dispersion Pre-Compensation Based on Multi-Output...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Ni, Weihao Chen, Liming Yin, Mingzhu Huang, Xiao Li, Fan Sun Yat-Sen University School of Electronics and Information Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Guangzhou510275 China China Southern Power Grid Electric Power Research Institute Guangzhou510663 China Sun Yat-Sen University School of Microelectronics Science and Technology Zhuhai519082 China

ISBN: (纸本)9798350351255

A non-iterative electrical dispersion pre-compensation (pre-EDC) scheme based on a multi-output neural network (NN) is proposed. The scheme is evaluated in an O-band simulation system utilizing the 1270nm optical carrier with the dispersion coefficient of -5 ps/(***). The simulation results show that the multi-output NN pre-EDC realizes the same performance as the traditional iterative modified GS pre-EDC while surpassing previously proposed non-iterative pre-EDC. Additionally, the proposed multi-output NN-based pre-EDC can reduce the time consumption of the pre-EDC procedure by 50%. © 2024 IEEE.

关键词： Chromatic dispersion

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Speeding up the prediction of C-O cleavage through bond valence and charge on iron carbides

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International Journal of Minerals,Metallurgy and Materials 2023年第10期30卷 2014-2024页

作者： Yurong He Kuan Lu Jinjia Liu Xinhua Gao Xiaotong Liu Yongwang Li Chunfang Huo James P.Lewis Xiaodong Wen Ning Li Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Information Science&Technology UniversityBeijing 101400China State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering College of Chemistry and Chemical EngineeringNingxia UniversityYinchuan 750021China State Key Laboratory of Coal Conversion Institute of Coal ChemistryChinese Academy of SciencesTaiyuan 030001China National Energy Center for Coal to Liquids Synfuels China Co.Ltd.Beijing 101400China Hong Kong Quantum AI Laboratory Ltd.University of Hong KongHong Kong 999077China

The activation of CO on iron-based materials is a key elementary reaction for many chemical *** investigate CO adsorption and dissociation on a series of Fe,Fe_(3)C,Fe_(5)C_(2),and Fe_(2)C catalysts through density functional theory *** detect dramatically different performances for CO adsorption and activation on diverse surfaces and *** activation of CO is dependent on the local coordination of the molecule to the surface and on the bulk phase of the underlying *** bulk properties and the different local bonding environments lead to varying interactions between the adsorbed CO and the surface and thus yielding different activation levels of the C-O *** also examine the prediction of CO adsorption on different types of Fe-based catalysts by machine learning through linear regression *** combine the features originating from surfaces and bulk phases to enhance the prediction of the activation energies and perform eight different linear regressions utilizing the feature engineering of polynomial *** them,a ridge linear regression model with2nd-degree polynomial feature generation predicted the best CO activation energy with a mean absolute error of 0.269 eV.

关键词： adsorption CO activation iron carbides density functional theory

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AirVista: Empowering UAVs with 3D Spatial Reasoning Abilities Through a Multimodal Large Language Model Agent 27

AirVista: Empowering UAVs with 3D Spatial Reasoning Abilitie...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Lin, Fei Tian, Yonglin Wang, Yunzhe Zhang, Tengchao Zhang, Xinyuan Wang, Fei-Yue State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Capital University of Economics and Business Beijing100070 China University of Chinese Academy of Sciences Department of Artificial Intelligence Beijing100049 China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing100190 China Macau University of Science and Technology Faculty of Innovation Engineering Department of Engineering Science 999078 China

ISBN: (纸本)9798331505929

In urban environments, complex transportation demands, including land, air, and maritime transport, are increasingly growing. While significant advancements have been made in land transportation and autonomous driving, research on urban air mobility (UAM) systems is still in its early stages. This paper presents an innovative urban air unmanned aerial vehicle (UAV) framework: AirVista, which is designed and built based on the Artificial systems, Computational experiments, and Parallel execution (ACP) approach, integrated with a multimodal large language model (MLLM) agent. Considering that UAM tasks often require UAVs to possess fine-grained spatial perception and reasoning capabilities, and given that existing MLLMs are somewhat lacking in exploring 3D spaces, this paper further proposes an instruction fine-tuning strategy integrated with 3D spatial knowledge, which has been validated experimentally for its effectiveness. Additionally, to enhance the understanding of the efficiency of MLLM for UAV tasks, this paper delves into prompt fine-tuning templates tailored for UAV task decomposition. Through experimental demonstrations, we showcase that the prompt-tuned MLLM exhibits efficient task decomposition and execution capabilities in handling complex UAV tasks. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Frequency-Agility Probes Enable High Spatial Resolution for Digital Optical Frequency Comb-Based Fast BOTDA

Frequency-Agility Probes Enable High Spatial Resolution for ...

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CLEO: science and Innovations, S and I 2022

作者： He, Huan Wei, Weilun Zhao, Zhiyong Fu, Songnian Liu, Deming Tang, Ming School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Guangdong Provincial Key Laboratory of Photonics Information Technology School of Information Engineering Guangdong University of Technology Guangzhou510006 China

Utilizing frequency-agility probes in digital optical frequency comb-based fast BOTDA, a record 5 m spatial resolution over 5 km fiber with 4 MHz frequency resolution and 1 GHz bandwidth is demonstrated for the first ... 详细信息

ISBN: (纸本)9781557528209

关键词： Natural frequencies

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Recent Development of Integrated systems of Microsupercapacitors

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Energy Material Advances 2022年第1期2022卷 132-146页

作者： Chang Gao Yuyang Gu Yang Zhao Liangti Qu Key Laboratory of Cluster Science Ministry of Education of ChinaBeijing Key Laboratory of Photoelectronic/Electrophotonic Conversion MaterialsSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Key Laboratory of Organic Optoelectronics&Molecular Engineering of Ministry of Education Department of ChemistryTsinghua UniversityBeijing 100084China

Development of wearable and portable electronics promotes the miniaturization of energy storage ***(MSC)featuring in fast charging and discharging rates,long cycle life,and high-power density stands out from miniaturized energy storage devices,particularly for its small size and adjustable structure which is easily processed to integrate with other on-chip *** this review,we systematically analyzed the MSC integration with other electronics from the perspective of structures and *** the beginning,we briefly introduced typical MSCs with unique ***,applications and integrations of MSCs with energy-consuming or energy-generating electronics were ***,compatible materials and designed structure of the all-in-one device were also ***,challenges and future development of MSC-integrated systems were put forward.

关键词： consuming generating electronics

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Emerging monoelemental 2D materials(Xenes)for biosensor applications

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Nano Research 2023年第5期16卷 7030-7052页

作者： Xiaohan Duan Zhihao Liu Zhongjian Xie Ayesha Khan Tareen Karim Khan Bin Zhang Han Zhang Key Laboratory of Optoelectronic Devices Systems of Ministry of Education and Guangdong ProvinceCollege of Physics and Optoelectronic Engineering and Institute of Translational MedicineFirst Affiliated Hospital(Shenzhen Second People’s Hospital)Health Science CenterShenzhen UniversityShenzhen 518060China Institute of Pediatrics Shenzhen Children’s HospitalShenzhen 518038China School of Mechanical Engineering Dongguan University of TechnologyDongguan 523808China School of Electrical Engineering&Intelligentization Dongguan University of TechnologyDongguan 523808China

Currently,numerous monoelemental two-dimensional(2D)materials,called Xenes,have been discovered,including graphyne(GD),silicene,germanene,arsenene,*** structures,fabrication methods,as well as properties have been extensively *** on their single-element composition,high optical response capability,excellent electrical-optical properties,large specific surface area(SSA)and easy modification,Xenes have been widely used in photoelectric applications(detection,modulation,light processing)and biomedicine(biological sensing,drug loading,bioimaging,etc.).Especially in the field of biomedicine,Xenes are expected to induce a great *** this review,we introduce the structural characteristics,synthesis and modification methods of several common Xenes *** general properties including optical,electronic,physical and chemical properties of Xenes are *** diverse utilization as biosensors for nucleic acid sequencing,bioactive detection,cancer diagnosis,*** also explicitly ***,the challenges and future perspectives of Xenes in biosensor are discussed.

关键词： Xenes fabrication method general properties biosignal detection biosensors

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