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

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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TRNet: Two-Tier Recursion Network for Co-Salient Object Detection

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IEEE Transactions on Circuits and systems for Video technology 2025年第6期35卷 5844-5857页

作者： Cong, Runmin Yang, Ning Liu, Hongyu Zhang, Dingwen Huang, Qingming Kwong, Sam Zhang, Wei Shandong University School of Control Science and Engineering Jinan250061 China Ministry of Education Key Laboratory of Machine Intelligence and System Control Jinan250061 China Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China Northwestern Polytechnical University Brain and Artificial Intelligence Laboratory School of Automation Xi'an710129 China University of Chinese Academy of Sciences School of Computer Science and Technology Beijing101408 China Lingnan University Hong Kong

Co-salient object detection (CoSOD) is to find the salient and recurring objects from a series of relevant images, where modeling inter-image relationships plays a crucial role. Different from the commonly used direct learning structure that inputs all the intra-image features into some well-designed modules to represent the inter-image relationship, we resort to adopting a recursive structure for inter-image modeling, and propose a two-tier recursion network (TRNet) to achieve CoSOD in this paper. The two-tier recursive structure of the proposed TRNet is embodied in two stages of inter-image extraction and distribution. On the one hand, considering the task adaptability and inter-image correlation, we design an inter-image exploration with recursive reinforcement module to learn the local and global inter-image correspondences, guaranteeing the validity and discriminativeness of the information in the step-by-step propagation. On the other hand, we design a dynamic recursion distribution module to fully exploit the role of inter-image correspondences in a recursive structure, adaptively assigning common attributes to each individual image through an improved semi-dynamic convolution. Experimental results on five prevailing CoSOD benchmarks demonstrate that our TRNet outperforms other competitors in terms of various evaluation metrics. The code and results of our method are available at https://***/rmcong/TRNetTCSVT2025. © 1991-2012 IEEE.

关键词： HTTP

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Simultaneously optimizing exciton diffusion length and nonradiative energy loss in organic solar cells via ternary strategy

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science China Chemistry 2024年第9期67卷 3004-3011页

作者： Huanxiang Jiang Hao Lu Zezhou Liang Yonghai Li Guangliu Ran Chenyu Han Yuqiang Liu Hongxiang Li Xichang Bao Zhishan Bo College of Textiles and Clothing State Key Laboratory of Bio-fibers and Eco-textilesQingdao UniversityQingdao 266071China Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of SciencesQingdao 266101China Key Laboratory for Physical Electronics and Devices of the Ministry of Education&Shaanxi Key Lab of Photonic Technique for InformationSchool of Electronics Science&EngineeringFaculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China Department of Physics and Applied Optics Beijing Area Major Laboratory Center for Advanced Quantum StudiesBeijing Normal UniversityBeijing 100875China College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610065China Laboratory of Solar Energy Shandong Energy InstituteQingdao 266101China

Significant nonradiative energy loss and short exciton diffusion length in organic solar cells(OSCs)are two major obstacles to achieving state-of-the-art *** is crucial to conduct a study on the intensive mechanism and improvement strategies for future breakthroughs in the efficiency of *** this work,nonradiative energy loss and exciton diffusion length are optimized simultaneously by incorporating a guest acceptor(LA15)to construct ternary OSC(D18:L8-BO:LA15).Firstly,LA15 exhibits excellent compatibility with the host acceptor L8-BO,and effectively improves the fluorescence quantum efficiency(FLQY),resulting in suppressed non-radiative energy ***,LA15 effectively prolongs the fluorescent lifetime of the acceptor phase from 0.85 to 1.12 ns,leading to larger exciton diffusion length,which is beneficial for reducing geminate ***,the addition of LA15 optimizes the crystallinity of the active layer with amplified charge transport *** a result,the optimized D18:L8-BO:LA15 device achieves ultralow nonradiative energy loss of 0.18 e V and improved fill factor(FF)with high efficiency up to 19.13%.These results highlight the crucial roles of regulating FLQYand exciton lifetime in achieving highefficiency OSCs.

关键词： organic solar cells nonradiative energy loss exciton lifetime exciton diffusion length

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Superlow Power Consumption Artificial Synapses Based on WSe2 Quantum Dots Memristor for Neuromorphic Computing

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Research 2023年第2期2022卷 101-113页

作者： Zhongrong Wang Wei Wang Pan Liu Gongjie Liu Jiahang Li Jianhui Zhao Zhenyu Zhou Jingjuan Wang Yifei Pei Zhen Zhao Jiaxin Li Lei Wang Zixuan Jian Yichao Wang Jianxin Guo Xiaobing Yan Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information EngineeringHebei UniversityBaoding 071002China Department of Clinical Laboratory Medicine Taizhou Central Hospital(Taizhou University Hospital)Taizhou 318000China College of Physics Science and Technology Hebei UniversityBaoding 071002China

As the emerging member of zero-dimension transition metal dichalcogenide,WSe2 quantum dots(QDs)have been applied to memristors and exhibited better resistance switching characteristics and miniaturization ***,low powe... 详细信息

关键词： Quantum dimension reliability

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Bi-Directional and Triangular Circulation Fusion Neural Networks for Small Object Detection

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IEEE Transactions on Circuits and systems for Video technology 2024年第6期35卷 5140-5152页

作者： Li, Fangyu Duan, Junzhu Zhang, Qiyu Shan, Caifeng Han, Honggui the School of Information Science and Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing Artificial Intelligence Institute Beijing University of Technology Beijing100124 China the State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China the School of Intelligence Science and Technology Nanjing University Suzhou215163 China

Deep learning-driven object detection models are capable of accurately identifying and localizing objects. However, small objects contain limited information relative to global features, resulting in the fact that detection models often do not learn small object features adequately. To enhance the precision in detecting small objects, we propose a bi-directional and triangular circulation fusion neural network (BTFN). First, to selectively strengthen the position features of small objects, we propose a feature circulation extraction module composed of a bi-directional triangular densely nested convolutional network (BTF), thus achieving repetitive multi-layer feature fusion. Second, to fill up the semantic gaps between different scales of features, we design a mixed dual attention module (MDA) in the bi-directional triangular densely nested network. Third, to mitigate the lost information in the neural networks with deep layers as well as improve the inference time, we design a re-parameterization bi-directional composite feature fusion module (Rep-BFM) that fuses the features of multiple scales. The proposed model is evaluated extensively on the MS COCO, Tsinghua-Tencent 100k, and Haier dismantled parts of used home appliances datasets. The experiment results show that the proposed model improves the AP on MS COCO by 4%, especially the APS of small objects is improved by 7.7% compared with SOTA models. © 2024 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Domestic appliances

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Three-dimensional temperature reconstruction of diffusion flame from the light-field convolution imaging by the focused plenoptic camera

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science China(Technological sciences) 2022年第2期65卷 302-323页

作者： SHI JingWen QI Hong YU ZhiQiang AN XiangYang REN YaTao TAN HePing School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China Key Laboratory of Aerospace Thermophysics Ministry of Industry and Information TechnologyHarbin 150001China

The plenoptic imaging technique provides a promising approach to the non-invasive three-dimensional measurement, especially for the high-temperature combustion diagnosis. We establish a light-field convolution imaging model for diffusion flame in this work, considering the radiation transfer process inside the diffusion flame and the light transfer process inside the focused plenoptic camera together. The radiation transfer process is described by the radiation transfer equation and solved by the generalized source multi-flux method. Wave optics theory is adopted to describe the light transfer process, combining Fresnel diffraction and the phase conversion of the lens. The flame light-field image is obtained by the light-field convolution imaging model and adopted as the measurement signal to reconstruct three-dimensional temperature field. The inverse problem of temperature reconstruction is solved by the least square QR decomposition method. The simulative temperature reconstruction work is conducted, including the inverse analysis, the uncertainty analysis, and the measurement noise influence. All the results show that the proposed measurement method is available to reconstruct three-dimensional temperature with satisfactory accuracy and acceptable uncertainty. Both symmetric and asymmetric distributed temperature fields are investigated, and the reconstructed results prove the validity and universality of the measurement method.

关键词： temperature measurement plenoptic convolution imaging model diffusion flame uncertainty analysis inverse problem

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Identification of crucial roles of transcription factor IhfA on high production of free fatty acids in Escherichia coli

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Synthetic and systems Biotechnology 2024年第1期9卷 144-151页

作者： Lixia Fang Ziyi Han Xueru Feng Xueyan Hao Mengxiao Liu Hao Song Yingxiu Cao Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) School of Chemical Engineering and TechnologyTianjin UniversityTianjin300072China Frontiers Research Institute for Synthetic Biology Tianjin UniversityChina

Transcription factor engineering has unique advantages in improving the performance of microbial cell factories due to the global regulation of gene *** analyses and reverse engineering enable learning and subsequent incorporation of novel design strategies for further ***,we identify the role of the global regulator IhfA for overproduction of free fatty acids(FFAs)using CRISPRi-facilitated reverse engineering and cellular physiological *** the differentially expressed genes in the ihfAL􀀀strain,a total of 14 beneficial targets that enhance FFAs production by above 20% are identified,which involve membrane function,oxidative stress,and *** membrane-related genes,the engineered strains obtain lower cell surface hydrophobicity and increased average length of membrane lipid *** oxidative stress-related genes,the engineered strains present decreased reactive oxygen species(ROS)*** gene modulations enhance cellular robustness and save cellular resources,contributing to FFAs *** study provides novel targets and strategies for engineering microbial cell factories with improved FFAs bioproduction.

关键词： Free fatty acids CRISPRi ihfA Cell membrane ROS

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Brillouin Frequency Shift Extraction for BOTDA Based on Gramian Angular Fields 4

Brillouin Frequency Shift Extraction for BOTDA Based on Gram...

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4th International Computational Imaging Conference, CITA 2024

作者： Zhu, Borong Zhang, Zhihao Qian, Yuhao Ma, Xiaole Wang, Liang Yu, Kuanglu Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China Institute of Information Science School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China National Engineering Laboratory for Next Generation Internet Access System School of Optics and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781510688834

To accurately extract Brillouin frequency shift of BOTDA with large sweeping step sizes, a novel structure of GAFCNN is proposed, combining time series coding with convolutional neural networks. The experimental data validation results demonstrate that the GAFCNN is capable of obtaining more accurate results under large sweep steps and low signal-to-noise ratios (SNRs) than other current methods. © 2025 SPIE.

关键词： Convolutional neural networks

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EM-DETR: Efficient Multi-scale DETR for Gas Leak Detection Based on Infrared Imaging

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IEEE Sensors Journal 2025年第11期25卷 20538-20546页

作者： Wang, Qi Zhu, Shilin Lu, Zhenlin Sun, Yunlong Qian, Yizhuo Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Northeastern University College of Information Science and Engineering Shenyang110819 China Beijing Institute of Microelectronics Technology Beijin100076 China

Industrial gases play a crucial role in modern industrial production. However, many industrial gases are only visible in the infrared spectrum. Therefore, using infrared camera for gas leak detection is essential for the normal operation of production lines and the safety of personnel. Existing automatic leak detection algorithms based on convolutional neural networks often involve numerous handcrafted feature components, resulting in complex model architectures, with hyperparameter selection significantly impacting model performance. To address these issues, we propose an efficient and high-performance end-to-end object detection network, the Efficient Multi-scale Detection Transformer (EM-DETR), for automatic gas leak detection. To reduce model computational overhead, we design a new efficient encoder. Additionally, to handle leaks of varying ranges due to gas dispersion, we implement bidirectional fusion of multi-scale features to capture granularity information of gases at different scales. Finally, based on the similar unified distribution of gas leak images, we introduce a pre-auxiliary loss to adjust the learnable object queries initialized. Experimental results demonstrate that the EM-DETR R50/R101 outperforms previous methods, achieving 40.7%/43.2% AP on gas leak infrared image datasets with minimal parameters and computational resources, providing a superior solution for automatic gas leak detection using infrared camera. © 2001-2012 IEEE.

关键词： Convolutional neural networks

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Numerical investigation of the effect of wedge-type cavitating-bubble generator on attached unsteady cavitating flows using proper orthogonal decomposition method

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Journal of Hydrodynamics 2023年第2期35卷 314-329页

作者： Bo-jie Hong Chang-li Hu Zhi-ying Wang Hao-jie Xing School of Energy and Power Engineering Nanjing University of Science and TechnologyNanjing210094China Key Laboratory for Mechanics in Fluid Solid Coupling Systems Institute of MechanicsChinese Academy of SciencesBeijing100190China

The objective of this work is to reveal the effect of a passive control method called wedge-type cavitating-bubble generator(WCG)on the cloud cavitation dynamics of National Advisory Committee for Aeronautics(NACA)66 *** simulations are performed using the Partially-averaged Navier-Stokes(PANS)method coupled with the Zwart cavitation *** proper orthogonal decomposition(POD)method is applied to extract the dominant flow *** results show that the WCG can induce the attached cavity to occur just behind the WCG instead of the hydrofoil leading *** the periodical time-evolution process of the unsteady cavity,it is found that the attached cavity with a larger scale around the hydrofoil with WCG has a rougher surface,accompanied with more shedding behaviors of small *** is further illustrated by the POD modes,that is,the mode 1 and modes 2–4 present the large and small cavity vortex structures ***,the dominant frequencies of 50 Hz,47.5 Hz are given by the POD method respectively for the hydrofoils without and with WCG,which is in good agreement with that of FFT *** addition,the correlation distribution of POD modal coefficients shows that the WCG can strengthen the vortex energy as well as the turbulence intensity.

关键词： Cavitating-bubble generator proper orthogonal decomposition(POD) attached cavity vortex structures

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