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Resistive switching performance improvement of In GaZnO-based memory device by nitrogen plasma treatment

Journal of Materials Science & technology 2020年第14期47卷 1-6页

作者： Li Zhang Zhong Xu Jia Han Lei Liu Cong Ye Yi Zhou Wen Xiong Yanxin Liu Gang He Faculty of Physics and Electronic Science Hubei UniversityHubei Key Laboratory of Ferro-&Piezoelectric Materials and DevicesHubei Key Laboratory of Applied MathematicsWuhan430062China School of Physics and Materials Science Radiation Detection Materials&Device LabAnhui UniversityHefei230039China School of Microelectronics Tianjin Key Laboratory of Imaging and Sensing Microelectronic TechnologyTianjin UniversityTianjin300072China

With the demand of flat panel display development,utilizing the non-volatile memory devices based on indium-gallium-zinc-oxide(IGZO)film may be integrated with IGZO thin film transistors(TFTs)to accomplish system-on-panel *** this work,1×1μm^2 via hole structure IGZO based memory device was fabricated and the resistive switching(RS)behavior was *** inserting a nitrogen doping layer IGZO:N by plasma treatment in Pt/IGZO/Ti N device,highly improved RS performance including lower forming voltage,remarkable uniformity,large memory window of 102,retention property of 10^4 s at 125℃,excellent pulse endurance of 10^7 cycles were *** X-ray photoelectron spectroscopy analysis indicates that plasma doping method can evenly dope nitrogen and induce more non-lattice oxygen in the IGZO *** is deduced that the N atoms of the inserting layer can influence the random formation of oxygen vacancy type conducting filaments,which results in more stable and uniform performance.

关键词： Memory device Resistive switching Plasma treatment Indium-gallium-zinc-oxide Memristor

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Molecular exchange and passivation at interface afford high-performing perovskite solar cells with efficiency over 24%

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Journal of Energy Chemistry 2023年第7期82卷 219-227,I0005页

作者： Jianjun Sun Wangchao Chen Yingke Ren Yunjuan Niu Zhiqian Yang Li'e Mo Yang Huang Zhaoqian Li Hong Zhang Linhua Hu Key Laboratory of Photovoltaic and Energy Conservation Materials Institute of Solid State PhysicsHFIPSChinese Academy of SciencesHefei 230031AnhuiChina School of Chemistry and Chemical Engineering Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction EngineeringHefei University of TechnologyHefei 230009AnhuiChina College of Science Hebei University of Science and TechnologyShijiazhuang 050018HebeiChina Hebei Computational Optical Imaging and Photoelectric Detection Technology Innovation Center Hebei International Joint Research Center for Computational Optical Imaging and Intelligent SensingSchool of Mathematics and Physics Science and EngineeringHebei University of EngineeringHandan 056038HebeiChina University of Science and Technology of Chin1 Anhui 230026HefeiChina

The interface is crucial for perovskite solar cells(PSCs).However,voids at interfaces induced by the trapped hygroscopic dimethyl sulfoxide(DMSO)can reduce charge extraction and accelerate the film degradation,seriously damaging the efficiency and *** this work,4,4’-dinonyl-2,2’-dipyridine(DN-DP),a Lewis base with long alkyl chains is introduced to solve this *** calculated and experimental results confirm that the dipyridyl group on DN-DP can more strongly coordinate with Pb^(2+)than that of the S=O group on *** strong coordination effect plays a crucial role in removing the DMSO-based adduct and reducing the formation of *** to the electron-donating properties of pyridine,the existence of DN-DP in the perovskite film can passivate the defects and optimize the energy level alignment of the perovskite *** open-circuit voltage(VOC)of the DN-DP-based PSC is improved from 1.107 V(control device)to 1.153 V,giving rise to a power conversion efficiency(PCE)of24.02%.Furthermore,benefiting from the moisture resistance stemming from the hydrophobic nonyl group,the PCE retains 90.4%of the initial performance after 1000 h of storage in the ambient condition.

关键词： Perovskite solar cell Anti-solvent 4 4′-Dinonyl-2 2′-dipyridine Optimized interfaceStability

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A Salient Region detection Model Using Semantic and Color Information

A Salient Region Detection Model Using Semantic and Color In...

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2016 International Conference on Electrical Engineering and Automation（ICEEA2016）

作者： Yun-fei ZHENG Xiong-wei ZHANG Tie-yong CAO Yong-gang HU PLA University of Science and Technology The Officer Academy of Army The Key Laboratory of Polarization Imaging Detection Technology

Due to the lack of object semantic information, existing salient region detection models using visual stimulus cues and prior knowledge are diffcult to detect some complicated salient regions with heterogeneity, low contrast or large scale. We construct a semantic salient region detection network using the fully convolutional structure in this letter. After training effectively, the proposed network can effectively extract the semantic salient regions. Aiming to the defect of inaccurate boundary of the detected semantic salient regions, we further introduce the superpixel segmentation and color appearance model to generate the superpixel-level foreground ***, we propose a new optimization model to fuse the foreground and background probability information and semantic information to derive more accurate salient region map. The experiments comparing with 11 state-of-the-art models demonstrate the effectiveness and robustness of the proposed model.

关键词： Semantic information Fully convolutional network Color appearance model Salient region detection

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Self-Knowledge Distillation for the Object Segmentation Based on Atrous Spatial Pyramid 5

Self-Knowledge Distillation for the Object Segmentation Base...

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2022 5th International Symposium on Big Data and Applied Statistics, ISBDAS 2022

作者： Wang, Xiaobing Zheng, Yunfei Zhang, Xiongwei Cao, Tieyong Li, Chenming Wang, Xiulai Wang, Yong Fang, Zheng Wang, Yang Army Engineering University PLA Nanjing210016 China PLA Army Academy of Artillery and Air Defense Hefei230022 China Key Laboratory of Polarization Imaging Detection Technology Hefei230022 China Medical Information Data Room Jinling Hospital Nanjing210018 China

This paper presents an effective Self-Knowledge Distillation (SKD) framework via Atrous Spatial Pyramid Structure (ASPS), which is able to enhance the performance of the object segmentation network without increasing network parameters. In the framework, a lightweight object segmentation network is constructed to achieve the pixel-level object segmentation efficiently. A SKD learning model, including the SKD representation structure based on ASPS and loss function, is proposed to transfer the knowledge in the ASPS into our object segmentation network and improve its generalization ability. The experimental results confirm that compared with recent typical object segmentation networks, our object segmentation network contains the fewest parameters but achieves better performance. Moreover, the proposed SKD method achieves the best performance-boosting compared with recent SKD methods © Published under licence by IOP Publishing Ltd.

关键词： Distillation

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An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network

arXiv

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arXiv 2020年

作者： Wang, Yong Liu, Qi Zu, Hongyu Liu, Xiao Xie, Ruichao Wang, Feng Department of Information Engineering Army Academy of Artillery and Air Defense PLA Hefei230031 China Anhui Provincial Key Laboratory of Polarization Imaging Detection Technology Hefei230031 China School of Internet Anhui University Hefei230031 China Anhui Institute of Optics and Fine Mechanics Chinese Academy of Sciences Hefei230031 China

Pixel-wise operations between polarimetric images are important for processing polarization information. For the lack of such operations, the polarization information cannot be fully utilized in convolutional neural network(CNN). In this paper, a novel end-to-end CNN framework for polarization vision tasks is proposed, which enables the networks to take full advantage of polarimetric images. The framework consists of two sub-networks: a polarization-parameter-constructing network (PPCN) and a task network. PPCN implements pixel-wise operations between images in the CNN form with 1×1 convolution kernels. It takes raw polarimetric images as input, and outputs polarization-parametric images to task network so as to complete a vison task. By training together, the PPCN can learn to provide the most suitable polarization-parametric images for the task network and the dataset. Taking faster R-CNN as task network, the experimental results show that compared with existing methods, the proposed framework achieves much higher mean-average-precision (mAP) in object detection task. Copyright © 2020, The Authors. All rights reserved.

关键词： polarization

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Infrared polarization Image Fusion and detection System for Ship Target

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Journal of Physics: Conference Series 2021年第2期1802卷

作者： Haonan Tuo Guochuan Shi Xiaolin Luo Army Artillery and Air Defense Academy Heifei China Anhui province Key Laboratory of Polarization Imaging Detection Technology Hefei China

In order to realize the fusion and detection of ship targets, infrared polarization image fusion and detection technology is adopted in this paper, and a design scheme of infrared polarization image fusion and detection system based on ship targets is proposed, which solves the key technologies such as processing system and fusion and detection algorithm, and the image detection rate is high. The proposed system can be used as a laboratory standby system.

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Multidisciplinary and multiscale nanoscience research roadmap based on large scientific facilities

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Science China Chemistry 2024年第8期67卷 2497-2523页

作者： Yuan Zeng Shuhan Zhang Yuecong Guo Yalin Cong Xu Ding Peihua Li Yunxiang Lin Wenzhi Ren Hui Su Weigang Sun Liuxin Xu Guikai Zhang Shihua Chen Yu Chen Weiren Cheng Shengqi Chu Yong Guan Jinru Han Jie Lin Hengjie Liu Zheyi Liu Pan Luo Fanchun Meng Sicong Qiao Zongyin Song Ying Wang Zhao Wu Chenyu Yang Meng Yang Shirui Yang Zi Yin Zhibin Yin Pengjun Zhang Hongyu Zhang Pingping Zheng Jia Zhou Wanlin Zhou Pengfei An He Cheng Chunhai Fan Xingjiu Huang Yong Lei Lina Li Mu Li Qinghua Liu Shuming Peng Li Song Zhihu Sun Yangchao Tian Fangjun Wang Lihua Wang Liming Wang Shiqiang Wei Aiguo Wu Chunlei Xiao Xueming Yang Panchao Yin Jing Zhang Mingxin Zhang Yaling Wang Chunying Chen CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety New Cornerstone Science LaboratoryNational Center for Nanoscience and TechnologyBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei 230029China Institute of Solid State Physics Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China Institutes of Physical Science and Information Technology Anhui UniversityHefei 230601China Ningbo Key Laboratory of Biomedical Imaging Probe Materials and Technology Zhejiang International Cooperation Base of Biomedical Materials Technology and ApplicationCAS Key Laboratory of Magnetic Materials and DevicesNingbo Cixi Institute of Biomedical EngineeringZhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China Advanced Energy Science and Technology Guangdong Laboratory Huizhou 516000China College of Chemistry and Chemical Engineering Hunan Normal UniversityChangsha 410081China State Key Laboratory of Luminescent Materials and Devices South China Advanced Institute for Soft Matter Science and TechnologySouth China University of TechnologyGuangzhou 510640China Beijing Synchrotron Radiation Facility Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China CAS Key Laboratory of Separation Sciences for Analytical Chemistry Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China State Key Laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Institute of Advanced Science Facilities Shenzhen 518107China State Key Laboratory of Coal Conversion Institute of Coal ChemistryChinese Academy of SciencesTaiyuan 030001China State Key Laboratory of Particle Detection and Electronics Institute of High Energy PhysicsChinese Acade

With the advancement of modern science and technology, large scientific facilities are increasingly oriented toward demand and application, and can be used for basic research as well as serving multiple disciplines. Developing large scientific facilities and related analytical technologies enhances understanding of large scientific facilities and popularizes their application in research across multiple disciplines. The combination of light or neutron sources from large scientific facilities and advanced analytical technologies can be achieved for materials structure information, dynamics study of chemical reactions, high dissociation of biomolecules, 3D visualization of energy materials or biological samples, etc. We first introduce the progress of domestic large scientific facilities of synchrotron radiation(SR) and free electron lasers(FELs) with different wavelengths and neutron *** further discuss the comparison between Chinese and typical foreign facilities in X-ray radiation from X-ray tubes, synchrotrons, X-ray FELs, and neutron sources based on physical parameters of light and neutron sources. In addition, we focus on the technological progress and perspectives combined with advanced X-ray radiation and neutron sources of large scientific facilities in China, especially in the nanoscience fields of energy catalysis and biological science. We hope that this roadmap will provide references on technology and methods to experimental users, as well as prospects for future development of technologies based on large research infrastructure facilities. Comprehensive studies and guidelines for basic research to practical application in various disciplines can be made with the assistance of large scientific facilities.

关键词： large scientific facilities synchrotron radiation FEL light sources neutron sources spectroscopic analysis methods X-ray imaging techniques structural information chemical dynamics

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detection Method of Ship Target Infrared polarization Image

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Journal of Physics: Conference Series 2021年第2期1802卷

作者： Haonan Tuo Guochuan Shi Xiaolin Luo Army Artillery and Air Defense Academy Heifei China Anhui province Key Laboratory of Polarization Imaging Detection Technology Hefei China

In the face of complex background and severe weather environment, infrared polarization detection has obvious advantages. In this paper, the ship target detection method based on infrared polarization image is studied and the ship target infrared polarization image detection method based on local contrast is proposed. The ship target detection accuracy of the proposed algorithm is 0.956, and the false alarm rate of the ship detection is low, which verifies the effectiveness of the detection algorithm in detecting the ship target, which has great application value in military applications.

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Localized Electrons Accelerated Ionic and Charge Transfer for Superior Lithium Storage

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Renewables 2023年第5期1卷 572-581页

作者： Zhaoqian Li Yingke Ren Wangchao Chen Tingting Wei Lie Mo Yang Huang Hong Zhang Guozhong Cao Linhua Hu Key Laboratory of Photovoltaic and Energy Conservation Materials CASInstitute of Solid State PhysicsHefei Institutes of Physical ScienceChinese Academy of SciencesHefeiAnhui 230031 College of Science Hebei University of Science and TechnologyShijiazhuang 050018 School of Chemistry and Chemical Engineering Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction EngineeringHefei University of TechnologyHefei 230009 University of Science and Technology of China HefeiAnhui 230026 Hebei Computational Optical Imaging and Photoelectric Detection Technology Innovation Center Hebei International Joint Research Center for Computational Optical Imaging and Intelligent SensingSchool of Mathematics and Physics Science and EngineeringHebei University of EngineeringHebeiHandan 056038 Department of Materials Science and Engineering University of WashingtonSeattleWashington 98195

The electrochemical energy storage performance is greatly determined by the charge transfer and ion transportation occurring in the electrode ***,the enhancement of electric conductivity and ionic mobility is vital for high-performing and stable metal ion ***,we report the properties of oxygen vacancies(VO)and carbon co-doped TiO_(2) hollow spheres(HS-TiO_(2))and compared them with fully oxidized white TiO_(2) hollow spheres(W-TiO_(2)).Theoretical calculations and experimental results revealed that the introduction of carbon dopant and VO in anatase TiO_(2) reduced the bandgap and the existence of localized electrons,leading to a lower migration barrier of Li ions that promoted faster ion diffusion kinetics,enabling the HS-TiO_(2) with higher reversibility during the insertion and extraction of Li ions than the W-TiO_(2).This HS-TiO_(2) delivered superior lithium storage properties with a specific discharge capacity of 214.6 mAh g^(-1) for the 100th cycle at 200 mA g^(-1) and 116.3 mAh g^(-1) over 2000 cycles at a high rate of 2 A g^(-1).

关键词： titanium dioxide localized electrons uniform hollow structure oxygen vacancies lithium-ion batteries

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Research on Spatial Spectrum Constraint of Distributed Passive Radar imaging

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IOP Conference Series: Materials Science and Engineering 2020年第5期782卷

作者： Yanhou Zhang Shuo Wang Hao Zhai Yusheng Han Anhui Province Key laboratory of Polarized Imaging Detection Technology Department of Information Engineering Army Academy of Artillery and Air Defence Forces Hefei 230031 China

Spatial spectrum is an important tool for radar imaging performance analysis. In order to analyze the effect of spatial spectrum filling on the imaging quality of distributed passive radar, the constraints of spatial spectrum filling are studied. The imaging model of distributed passive radar is established, the imaging resolution characteristics are analyzed, and the influencing factors of spatial spectrum filling are obtained. The filling rule of spatial spectrum is analyzed, and the constraint conditions for the critical azimuth and arc of filling are given. The validity of the constraint conditions is verified by simulation, which has guiding significance for optimization of radar station layout and imaging quality improvement.

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