检索结果-内蒙古大学图书馆

Hf-doped ZnO transistor with high bias stability and high field-effect mobility by modulation of oxygen vacancies and interfaces

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Journal of Materials science & technology 2023年第32期163卷 59-68页

作者： Yushu Tang Pengwei Tan Yuanyuan Luo Zheng Zhang Liyang Luo Guotao Duan School of Integrated Circuits Huazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Materials Physics Institute of Solid State PhysicsHFIPSChinese Academy of SciencesHefei 230031China Wuhan National Laboratory for Optoelectronics School of Optical and Electronic InformationHuazhong University of Science and TechnologyWuhan 430074China

ZnO-based thin film transistors(TFTs)with high bias stability are challenging due to the intrinsic defects and overhigh interface trap *** this work,we fabricated Hf-doped ZnO films with different cycle ratio of Zn/Hf via atomic layer deposition and subsequent annealing *** results show that the cycle ratio of Zn/Hf is optimized to be 10:1,and the corresponding atomic ratio is 2.24%.The threshold voltage and subthreshold swing of the devices are improved as the annealing temperature increases,owning to the decrease of the oxygen vacancies and interface trap ***,we developed Hf-doped ZnO TFT with high bias stability by introducing HfO_(2)intermediate layer between the active layer and SiO_(2)dielectric layer,and the shift of threshold voltage is as low as-0.273 V,showing high bias ***,the device has the high field-effective mobility of 52.4 cm^(2)/Vs,low subthreshold swing of 0.68 V/dec and high Ion/Ioff of 3.6×10^(8).The results indicate a promising fabrication method for highperformance ZnO-based TFTs,which may be applied in logic circuits,radio frequency identification and so on.

关键词： Hf-doped ZnO films Thin film transistors Atomic layer deposition Oxygen vacancy Interface trap density

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High-precision colorimetric-fluorescent dual-mode biosensor for detecting acetylcholinesterase based on a trimetallic nanozyme for efficient peroxidase-mimicking

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Journal of Materials science & technology 2024年第24期191卷 168-180页

作者： Meie Zheng Mingxing Liu Zichen Song Fei Ma Hongda Zhu Huiling Guo Hongmei Sun Cooperative Innovation Center of Industrial Fermentation(Ministry of Education&Hubei Province) National“111”Center for Cellular Regulation and Molecular PharmaceuticsKey Laboratory of Fermentation Engineering(Ministry of Education)Hubei Key Laboratory of Industrial MicrobiologyHubei University of TechnologyWuhan 430068China Hubei Key Laboratory of Quality Control of Characteristic Fruits and Vegetables College of Life Science and TechnologySchool of Mechanical EngineeringHubei Engineering UniversityXiaogan 432000China

Highly sensitive and stable acetylcholinesterase detection is critical for diagnosing and treating various neurotransmission-related *** this study,a novel colorimetric-fluorescent dual-mode biosensor based on highly dispersive trimetal-modified graphite-phase carbon nitride nanocomposites for acetylcholinesterase detection was designed and synthesized by phosphorus doping and a mixed-metal MOF *** specific surface area of trimetal-modified graphite-phase carbon nitride nanocomposites increased from 15.81 to 96.69 g m^(-2),and its thermal stability,interfacial charge transfer,and oxidation-reduction capability were enhanced compared with those of graphite-phase carbon ***-principles density functional theory calculations and steady-state kinetic analysis are applied to investigate the electronic structures and efficient peroxidase-mimicking properties of trimetal-modified graphite-phase carbon nitride *** oxidation of 3,3',5,5'-tetramethylbenzidin was inhibited by thiocholine,which originates from the decomposition of thiocholine iodide by Acetyl-cholinesterase(AChE),resulting in changes in fluorescence and absorbance *** to the independence and complementarity of the signals,a highly precise colorimetric-fluorescent dual-mode biosensor with a linear range for detecting AChE of 4-20μU mL^(-1) and detection limits of 0.13μU mL^(-1)(colorimetric)and 0.04μU mL^(-1)(fluorescence)was *** spiking recovery of AChE in actual samples was 99.0%-100.4%.Therefore,a highly accurate,specific,and stable dual-mode biosensor is available for AChE detection,and this biosensor has the potential for the analysis of other biomarkers.

关键词： Graphitic carbon nitride Zeolitic imidazolate framework-8 Colorimetric-fluorescent dual-mode sensor Density functional theory calculations Acetylcholinesterase

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A High-sensitivity and High-Q Microwave Sensor Based on H-shaped Fractal Metasurface 12

A High-sensitivity and High-Q Microwave Sensor Based on H-sh...

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12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024

作者： Jin, Shengxiao Hu, Senyong Wu, Wengang Zhu, Zhongbo Li, Sheng Wang, Caixia Shao, Wei Duan, Chongdi National Key Laboratory of Science and Technology on Space Microwave Cast Xi'an China Peking University School of Integrated Circuits China

ISBN: (纸本)9798350351019

This paper proposes a H-shaped fractal metasurface, which exhibits three Resonant absorption peaks. The performance of the microwave sensor is simulated with the different solid substances used as sensing objects, and the results show that the sensor has a good sensitivity. Then, the designed H- shaped fractal metasurface sensor is manufactured and measured to verify its reliability in sensing. © 2024 IEEE.

关键词： Microwave sensors

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controllable phase conversion of nickel-based catalysts by sulfur induced electrodeposition for efficient hydrogen evolution

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Journal of Energy Chemistry 2025年第4期103卷 665-673页

作者： Zehao Zang Yangyang Ren Chunyan Fan Yahui Cheng Shuquan Zhang Lanlan Li Xiaofei Yu Xiaojing Yang Zunming Lu Xinghua Zhang Hui Liu School of Materials Science and Engineering Hebei University of TechnologyTianjin 300130China Tianjin Key Laboratory of Process Control and Green Technology for Pharmaceutical Industry Department of ElectronicsNankai UniversityTianjin 300350China Tianjin NanKai Hospital Integrated Chinese and Western Medicine HospitalTianjin UniversityTianjin 300102China School of Materials Science and Engineering Tianjin UniversityTianjin 300072China

Exploring efficient transition-metal-based electrocatalysts is critical for the wide application of electrochemical hydrogen generation *** the phase displays prominent influence on their performance,it remains a major challenge to achieve phase regulation in the same synthesis method and elucidate the intrinsic relationship between the phase and ***,we developed a sulfur induced electrodeposition strategy to achieve the precise phase regulation of nickel-based materials from Ni(OH)_(2)to Ni and Ni_(3)S_(2).S atoms can be introduced into Ni and Ni(OH)_(2)due to sulfur inducement,and the S proportion is finely controlled via changing the deposition ***,the obtained S-Ni catalyst displays enhanced hydrogen evolution activity with an ultralow overpotential of 27 mV at 10 mA cm^(-2),which is superior to the S-Ni(OH)_(2),Ni_(3)S_(2),and even Pt/*** functional theory(DFT)calculations disclose the S-Ni catalyst exhibits optimal charge state and local coordination,remarkably optimizing the water adsorption and Ni-H^(*)binding *** work provides new insights into phase regulation in electrodeposition and an understanding of the intrinsic relationship between phase and activity.

关键词： Phase conversion Hydrogen evolution reaction Nickel-based catalysts Sulfur atoms modulation Local structure regulation

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Boosting the catalytic performance of Cu-SAPO-34in NO_(x) removal via hydrothermal treatment

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Journal of Environmental sciences 2024年第1期135卷 640-655页

作者： Xiaoyan Tian Huimin Wang Siyuan Xu Lianyun Gao Jinyan Cao Jianjun Chen Qiulin Zhang Ping Ning Jiming Hao Faculty of Environmental Science and Engineering Kunming University of Science and TechnologyKunming 650500China National-Regional Engineering Center for Recovery of Waste Gases from Metallurgical and Chemical Industries Kunming University of Science and TechnologyKunming 650500China School of Environment State Key Joint Laboratory of Environment Simulation and Pollution ControlTsinghua UniversityBeijing 100084China

Phosphate ions promoted Cu-SAPO-34(P-Cu-SAPO-34)were prepared using bulk CuO particles as Cu^(2+)precursor by a solid-state ion exchange technique for the selective catalytic reduction of NO_(x) with NH_3(NH_3-SCR).The effects of high temperature(H-T)hydrothermal aging on the NO_(x) removal(de-NO_(x))performance of Cu-SAPO-34 with and without phosphate ions were systematically investigated at atomic *** results displayed that both Cu-SAPO-34 and P-Cu-SAPO-34 presented relatively poor NO_(x) removal activity with a low conversion(<30%)at 250-500℃.However,after H-T hydrothermal treatment(800℃ for 10 hr at 10%H_2O),these two samples showed significantly satisfied NO_(x) elimination performance with a quite high conversion(70%-90%)at 250-500℃.Additionally,phosphate ions decoration can further enhance the catalytic performance of Cu-SAPO-34 after hydrothermal treatment(Cu-SAPO-34H).The textural properties,morphologies,structural feature,acidity,redox characteristic,and surface-active species of the fresh and hydrothermally aged samples were analyzed using various characterization *** systematical characterization results revealed that increases of 28%of the isolated Cu^(2+)active species(Cu^(2+)-2Z,Cu(OH)^(+)-Z)mainly from bulk CuO and 50%of the Bronsted acid sites,the high dispersion of isolated Cu^(2+)active component as well as the Bronsted acid sites were mainly responsible for the accepted catalytic activity of these two hydrothermally aged samples,especially for P-Cu-SAPO-34H.

关键词： NH_(3)-SCR Cu-SAPO-34 Hydrothermal induced Phosphate ions

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Photoreduction adjusted surface oxygen vacancy of Bi_(2)MoO_(6) for boosting photocatalytic redox performance

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Frontiers of Chemical science and Engineering 2023年第12期17卷 1937-1948页

作者： Tie Shi Hailong Jia Yanmei Feng Bo Gong Daimei Chen Yu Liang Hao Ding Kai Chen Derek Hao Beijing Key Laboratory of Materials Utilization of Nonmetallic Minerals and Solid Wastes National Laboratory of Mineral MaterialsSchool of Materials Science and TechnologyChina University of GeosciencesBeijing 100083China School of Materials Science and Technology Shenyang University of Chemical TechnologyShenyang 110142China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoringand Pollution Control School of Environmental Science and EngineeringNanjing University of Information Science and TechnologyNanjing 210044China Centre for Technology in Water and Wastewater(CTWW) School of Civil and Environmental EngineeringUniversity of Technology Sydney(UTS)NSW 2007Australia

In this study, Bi_(2)MoO_(6) with adjustable rich oxygen vacancies was prepared by a novel and simple solvothermal-photoreduction method which might be suitable for a large-scale production. The experiment results show that Bi_(2)MoO_(6) with rich oxygen vacancies is an excellent photocatalyst. The photocatalytic ability of BMO-10 is 0.3 and 3.5 times higher than that of the pristine Bi_(2)MoO_(6) for Rhodamine B degradation and Cr(VI) reduction, respectively. The results display that the band energy of the samples with oxygen vacancies was narrowed and the light absorption was broadened. Meanwhile, the efficiency of photogenerated electron-holes was increased and the separation and transfer speed of photogenerated carriers were improved. Therefore, this work provides a convenient and efficient method to prepare potential adjustable oxygen vacancy based photocatalysts to eliminate the pollution of dyes and Cr(VI) in water.

关键词： Bi_(2)MoO_(6) oxygen vacancies photoreduction Cr(VI) RhB

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Effects and Modeling Study on FDSOI MOSFETs at Cryogenic Temperature 17

Effects and Modeling Study on FDSOI MOSFETs at Cryogenic Tem...

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17th IEEE International Conference on Solid-State and integrated Circuit technology, ICSICT 2024

作者： Ren, Zhipeng Hu, Yibo Yin, Yizhe Zhao, Ruiyong Chen, Jing Shanghai Institute of Microsystem and Information Technology Chinese Academy of Science National Key Laboratory of Integrated Circuits Shanghai200050 China

ISBN: (纸本)9798350361834

In this work, we systematically investigate the impact of various performance metrics of 22nm FDSOI technology devices when operated at cryogenic temperatures. It establishes a cryogenic-temperature TCAD simulation model, delves into the back-gate effect and self-heating effect under cryogenic conditions, develops a parameter extraction flow applicable across the full temperature range and elucidates the temperature dependency of critical parameters. The BSIM model is revised with a fitting accuracy below 5%. Additionally, focusing on the cryogenic-temperature RF characteristics of the devices, substrate effects and gate parasitic network characteristics are characterized using an RC network, leading to the establishment of a comprehensive sub-circuit topology. © 2024 IEEE.

关键词： Silicon on insulator technology

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A Graph-Based Semi-Supervised Approach for Few-Shot Class-Incremental Modulation Classification

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China Communications 2024年第11期21卷 88-103页

作者： Zhou Xiaoyu Qi Peihan Liu Qi Ding Yuanlei Zheng Shilian Li Zan State Key Laboratory of Integrated Service Networks Xidian UniversityXi’an 710071China Xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China The No.011 Research Center Science and Technology on Communication Information Security Control LaboratoryJiaxing 314033China

With the successive application of deep learning(DL)in classification tasks,the DL-based modulation classification method has become the preference for its state-of-the-art ***,once the DL recognition model is pre-trained with fixed classes,the pre-trained model tends to predict incorrect results when identifying incremental ***,the incremental classes are usually emergent without label information or only a few labeled samples of incremental classes can be *** this context,we propose a graphbased semi-supervised approach to address the fewshot classes-incremental(FSCI)modulation classification *** proposed method is a twostage learning method,specifically,a warm-up model is trained for classifying old classes and incremental classes,where the unlabeled samples of incremental classes are uniformly labeled with the same label to alleviate the damage of the class imbalance *** the warm-up model is regarded as a feature extractor for constructing a similar graph to connect labeled samples and unlabeled samples,and the label propagation algorithm is adopted to propagate the label information from labeled nodes to unlabeled nodes in the graph to achieve the purpose of incremental classes *** results prove that the proposed method is superior to other finetuning methods and retrain methods.

关键词： deep learning few-shot label propagation modulation classification semi-supervised learning

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MAGPNet: Multi-Domain Attention-Guided Pyramid Network for Infrared Small Object Detection

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Journal of Shanghai Jiaotong University (science) 2024年 1-18页

作者： Ding, Leqi Wang, Biyun Yao, Lixiu Cai, Yunze Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China National Key Laboratory of Air-based Information Perception and Fusion Henan Luoyang471009 China Shanghai Institute of Aerospace Control Technology Infrared Detection Technology R&D Center of China Aerospace Science and Technology Corporation Shanghai201109 China

To overcome the obstacles of poor feature extraction and little prior information on the appearance of infrared dim small targets, we propose a multi-domain attention-guided pyramid network (MAGPNet). Specifically, we design three modules to ensure that salient features of small targets can be acquired and retained in the multi-scale feature maps. To improve the adaptability of the network for targets of different sizes, we design a kernel aggregation attention block with a receptive field attention branch and weight the feature maps under different perceptual fields with attention mechanism. Based on the research on human vision system, we further propose an adaptive local contrast measure module to enhance the local features of infrared small targets. With this parameterized component, we can implement the information aggregation of multi-scale contrast saliency maps. Finally, to fully utilize the information within spatial and channel domains in feature maps of different scales, we propose the mixed spatial-channel attention-guided fusion module to achieve high-quality fusion effects while ensuring that the small target features can be preserved at deep layers. Experiments on public datasets demonstrate that our MAGPNet can achieve a better performance over other state-of-the-art methods in terms of the intersection of union, Precision, Recall, and F-measure. In addition, we conduct detailed ablation studies to verify the effectiveness of each component in our network. © 2024, Shanghai Jiao Tong University.

关键词： Software engineering

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Quantitative characterisation of the influence of different environmental factors on coal spontaneous combustion

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Journal of Thermal Analysis and Calorimetry 2024年第18期149卷 10241-10264页

作者： Zhao, Jingyu Wang, Chen Song, Jiajia Lu, Shiping Deng, Jun Zhang, Yanni Shu, Chi-Min School of Safety Science and Engineering Xi’an University of Science and Technology Xi’an710054 China Shaanxi Key Laboratory of Prevention and Control of Coal Fire Shaanxi Xi’an710054 China Department of Safety Health and Environmental Engineering National Yunlin University of Science and Technology Yunlin64002 Taiwan

Coal spontaneous combustion (CSC) events pose hazards to miners, infrastructure, and the environment. To mitigate some of the risk of CSC, this study explored the influence of airflow rate (AFR), oxygen concentration (OxyC), and heating rate (HR) on CSC. A temperature programmed experiment was used to examine a coal sample under different AFRs, OxyCs, and HRs. The characteristic temperature was determined using index gas growth rate analysis, and the characteristic parameters were shown. The apparent activation energy (Ea) of the sample was computed by the Arrhenius equation, and variance analysis was employed to quantitatively characterise the impact of different environmental factors on the characteristic parameters of the coal samples. The experimental results show that the critical temperature of the coal samples ranges between 65 and 75 °C, and the cracking temperature ranges between 115 and 130 °C, dividing the low-temperature oxidation process of coal into three stages: before the critical temperature, between the critical temperature and the cracking temperature, and after the cracking temperature. An AFR of 120 mL min−1 was identified as the optimal level;exceeding or falling below this value inhibits the coal-oxygen reaction. Increasing OxyC and reducing HR improves coal oxidation. Compared to the same samples under AFR and HR conditions, the Ea of coal under oxygen conditions is lower, ranging between 20 and 35 kJ mol−1, while under AFR and HR conditions, the Ea is not less than 30 kJ mol−1, indicating a stronger tendency for spontaneous combustion under oxygen conditions. AFR substantially affects the oxygen consumption rate, CH4, and exothermic intensity at all stages, with a partial η2 of 0.6. Before the critical temperature, OxyC has the greatest impact on CO2;between the critical temperature and the cracking temperature, OxyC has the greatest impact on CO;and after the cracking temperature, OxyC has the greatest impact on CO, CO2, C2H4, and C2H6, wit

关键词： Activation energy

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