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Multi-functional layered double hydroxides supported by nanoporous gold toward overall hydrazine splitting

Frontiers of Chemical Science and Engineering 2024年第1期18卷 61-69页

作者： Yongji Qin Huijie Cao Qian Liu Shaoqing Yang Xincai Feng Hao Wang Meiling Lian Dongxing Zhang Hua Wang Jun Luo Xijun Liu ShenSi Lab Shenzhen Institute for Advanced StudyUniversity of Electronic Science and Technology of ChinaShenzhen 518110China Institute for New Energy Materials and Low-Carbon Technologies School of Materials Science and EngineeringTianjin University of TechnologyTianjin 300384China State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured MaterialsSchool of ResourcesEnvironment and MaterialsGuangxi UniversityNanning 530004China Institute for Advanced Study Chengdu UniversityChengdu 610106China China National Coal Group Corporation Beijing 100120China Tianjin Engineering Research Center of Civil Aviation Energy Environment and Green Development School of Transportation Science and EngineeringCivil Aviation University of ChinaTianjin 300300China

Layered double hydroxides have demonstrated great potential for the oxygen evolution reaction,which is a crucial half-reaction of overall water ***,it remains challenging to apply layered double hydroxides in other electrochemical reactions with high efficiency and ***,we report two-dimensional multifunctional layered double hydroxides derived from metalorganic framework sheet precursors supported by nanoporous gold with high porosity,which exhibit appealing performances toward oxygen/hydrogen evolution reactions,hydrazine oxidation reaction,and overall hydrazine *** as-prepared catalyst only requires an overpotential of 233 mV to reach 10 mA·cm^(-2) toward oxygen evolution *** overall hydrazine splitting cell only needs a cell voltage of 0.984 V to deliver 10 mA·cm^(-2),which is far more superior than that of the overall water splitting system(1.849 V).The appealing performances of the catalyst can be contributed to the synergistic effect between the metal components of the layered double hydroxides and the supporting effect of the nanoporous gold substrate,which could endow the sample with high surface area and excellent conductivity,resulting in superior activity and stability.

关键词： layered double hydroxide oxygen evolution reaction hydrazine oxidation reaction overall hydrazine splitting hydrogen production

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Lightweight Network Based on Improved Yolov8n for Clothing Image Detection

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SSRN 2024年

作者： Gong, Haowei Liao, Haibin Ai, Zhe Deng, Yizhou Wei, Zhe School of Electronic and Electrical Engineering Wuhan Textile University Wuhan430200 China State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan430200 China

In response to the issues of high computational complexity, large model size, and high computational resource requirements in deep learning-based detection models, an improved lightweight clothing image detection algorithm based on YOLOv8n is proposed. Firstly, some GhostConv are employed to replace ordinary Conv in benchmark model to reduce the number of parameters. Additionally, we design a C2f-GD module to enhanced the bottleneck structure in the C2f architecture by using GhostConv and DCNv2 modules, which can improve compression detection performance while reducing model size and parameter count. Finally, the Inner-EIoU loss function is substituted for the original CIoU loss function to enhance the regression analysis performance of the model's bounding boxes. Experimental results on the open-source fashion dataset Deepfashion2 demonstrate that the lightweight clothing image prediction network demonstrates a significant level of reduced size and parameter count, improved detection accuracy. Compared to the YOLOv8n benchmark model, theproposed model achieves a 1.1% increase in precision and a 2.6% increase in mean average precision (mAP), while reducing model size and parameter count by 0.65MB and 0.315×109, which has good practical value. © 2024, The Authors. All rights reserved.

关键词： Regression analysis

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Trend Learning Based Loss Function for Time-Series Forecasting

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SSRN 2024年

作者： Hai-Bin, Liao Yi-Yang, Hu Li, Yuan School of Electronic and Electrical Engineering Wuhan Textile University Wuhan430200 China State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan430200 China

The loss function is a vital component of time-series forecasting models based on deep learning. The widely used norm distances-based loss functions, which is vulnerable to not consider dynamic temporal patterns, resulting in its inability to capture the trend or shape of the sequence well. On the other hand, in practice, the sequence data will have various distortions due to the influence of environmental factors, and how to overcome the data distortion variations is an important challenge for loss function design in time series forecasting. Aiming at the above challenges, we design a loss function framework based on time-series trend learning, which consists of trend direction guidance and point-wise representation terms. Based on the loss function framework, we propose a novel loss function, called Tre-Loss (Trend learning based loss function), that not only considers the distortions in all aspects but also allows models to capture the trend or shape of time-series. Tre-Loss is a plug-and-play loss function that can be directly applied to almost arbitrary time series forecasting network, which is Model-Agnostic. We evaluate the effectiveness of Tre-Loss by conducting extensive experiments from naive models to state-of-the-art models. The experiment results indicate that the models trained with Tre-Loss outperforms those trained with other training metrics (e.g., MSE, DILATE and TILDE-Q). Our code and models will be available at GitHub https://***/liaohaibing/Trend-learning-loss-function. © 2024, The Authors. All rights reserved.

关键词： Time series

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Lightweight Network Based on Improved Yolov8n for Clothing Image Detection

SSRN

引用

SSRN 2024年

In response to the issues of high computational complexity, large model size, and high computational resource requirements in deep learning-based detection models, an improved lightweight clothing image detection algorithm based on YOLOv8n is proposed. Firstly, some GhostConv are employed to replace ordinary Conv in benchmark model to reduce the number of parameters. Additionally, we design a C2f-GD module to enhanced the bottleneck structure in the C2f architecture by using GhostConv and DCNv2 modules, which can improve compression detection performance while reducing model size and parameter count. Finally, the Inner EIoU loss function is substituted for the original CIoU loss function to enhance the regression analysis performance of the model’s bounding boxes. Experimental results on the open-source fashion dataset Deepfashion2 demonstrate that the lightweight clothing image prediction network demonstrates a significant level of reduced size and parameter count, improved detection accuracy. Compared to the YOLOv8n benchmark model, the proposed model achieves a 1.1% increase in precision and a 2.6%increase in mean average precision(mAP),while reducing model size and parameter count by 0.65MB and 0.315×109,which has good practical value. © 2024, The Authors. All rights reserved.

关键词： Regression analysis

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基于一步法制备超高PEO负载的亲CO_(2)气体分离膜用于高效碳捕集

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Engineering 2023年第7期26卷 220-228,I0009页

作者：朱斌赫羴珊吴亚东李松伟邵路 MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage State Key Laboratory of Urban Water Resource and EnvironmentSchool of Chemistry and ChemicalHarbin Institute of TechnologyHarbin 150001China Key Laboratory of Materials Processing and Mold(Zhengzhou University) Ministry of EducationNational Engineering Research Center for Advanced Polymer Processing Technology Department of Chemical EngineeringZhengzhou UniversityZhengzhou 450002China

针对日益增加的大气CO_(2)含量,膜技术被认为是一种有前景的碳捕集策略,其中亲CO_(2)分离膜已经展示出显著的应用潜力,特别是在CO_(2)/轻质气体分离方面。以聚环氧乙烷(PEO)为代表的CO_(2)亲和材料,因其与CO_(2)的特殊偶极-四极矩相互... 详细信息

针对日益增加的大气CO_(2)含量,膜技术被认为是一种有前景的碳捕集策略,其中亲CO_(2)分离膜已经展示出显著的应用潜力,特别是在CO_(2)/轻质气体分离方面。以聚环氧乙烷(PEO)为代表的CO_(2)亲和材料,因其与CO_(2)的特殊偶极-四极矩相互作用而吸引了广泛的研究关注。在此,我们报道了一种简便的一步合成方案,通过原位聚合高度柔性的小分子PEO来克服其高结晶度和低机械强度的局限性。得益于短链PEO与聚合物基体之间的复杂链缠绕,使线性PEO的负载高达90%(质量分数)。因此,分离性能轻松超过了著名的分离上限。此外,高结构稳定性使得分离膜在高进料压力(高达20 bar)下表现出更好的CO_(2)渗透系数和气体选择性。本研究同时改善了全聚合物膜的机械性能和气体分离性能,在工业碳捕集和气体净化领域展现出显著潜力。

关键词： Membrane separation Gas separation CO_(2)capture CO_(2)-philic membrane Poly(ethylene oxide)

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Three-dimensional-printed Ni-based scaffold design accelerates bubble escape for ampere-level alkaline hydrogen evolution reaction

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Interdisciplinary materials 2024年第4期3卷 595-606页

作者： Jingxuan Chen Gangwen Fu Yu Tian Xingchuan Li Mengqi Luo Xiaoyu Wei Ting Zhang Tian Gao Cheng Chen Somboon Chaemchuen Xi Xu Xing Sun Tongle Bu Francis Verpoort John Wang Zongkui Kou State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhanChina Marine New Materials and Equipment Technology Center Sanya Science and Education Innovation Park of Wuhan University of TechnologySanyaChina Frontiers Science Center for Flexible Electronics Institute of Flexible ElectronicsNorthwestern Polytechnical UniversityXi'anChina Key laboratory of Flexible Electronics of Zhejiang Province Ningbo Institute of Northwestern Polytechnical UniversityNingboChina School of Astronautics Northwestern Polytechnical UniversityXi'anChina Department of Materials Science and Engineering College of Design and EngineeringNational University of SingaporeSingaporeSingapore National University of Singapore(Chongqing)Research Institute Chongqing Liang Jiang New AreaChongqingChina

Alkaline hydrogen evolution reaction(HER)for scalable hydrogen production largely hinges on addressing the sluggish bubble-involved kinetics on the traditional Ni-based electrode,especially for ampere-level current densities and ***,3D-printed Ni-based sulfide(3DPNS)electrodes with varying scaffolds are designed and *** situ observations at microscopic levels demonstrate that the bubble escape velocity increases with the number of hole sides(HS)in the ***,we conduct multiphysics field simulations to illustrate that as the hole shapes transition from square,pentagon,and hexagon to circle,where a noticeable reduction in the bubble-attached HS length and the pressure balance time around the bubbles results in a decrease in bubble size and an acceleration in the rate of bubble ***,the 3DPNS electrode with circular hole configura-tions exhibits the most favorable HER performance with an overpotential of 297 mV at the current density of up to 1000 mA cm^(-2) for 120 *** present study highlights a scalable and effective electrode scaffold design that promotes low-cost and low-energy green hydrogen production through the ampere-level alkaline HER.

关键词： 3D printing alkaline hydrogen evolution reaction ampere-level current densities bubble escape hole sides

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Se-Ni Se_(2) hybrid nanosheet arrays with self-regulated elemental Se for efficient alkaline water splitting

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Journal of materials Science & technology 2022年第23期118卷 145-152页

作者： Xiang Peng Yujiao Yan Shijian Xiong Yaping Miao Jing Wen Zhitian Liu Biao Gao Liangsheng Hu Paul K.Chu Hubei Key Laboratory of Plasma Chemistry and Advanced Materials Hubei Engineering Technology Research Center of Optoelectronic and New Energy MaterialsWuhan Institute of TechnologyWuhan 430205China Department of Physics Department of Materials Science and EngineeringDepartment of Biomedical EngineeringCity University of Hong KongTat Chee AvenueKowloonHong KongChina School of Textile Science and Engineering Xi’an Polytechnic UniversityXi’an 710048China State Key Laboratory of Refractories and Metallurgy Institute of Advanced Materials and NanotechnologyWuhan University of Science and TechnologyWuhan 430081China Department of Chemistry Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong ProvinceShantou UniversityShantou 515063China

Understanding the catalytic mechanism of non-noble transition metal electrocatalysts is crucial to designing high-efficiency,low-cost,and durable alternative electrocatalysts for water splitting which comprises the hydrogen evolution reaction(HER) and oxygen evolution reaction(OER).In this work,Se-NiSe_(2) hybrid nanosheets with a self-regulated ratio of ionic Se(I-Se) to elemental Se(E-Se) are designed on carbon cloth by solution synthesis and hydrothermal *** effects of the I-Se/E-Se ratios on the electrocatalytic characteristics in HER and OER are investigated systematically both experimentally and *** optimized bifunctional electrocatalyst needs overpotentials of only 133 mV to deliver an HER current density of 10 mA cm^(-2) and 350 mV to generate an OER current density of 100 mA cm^(-2) in1.0 mol L^(-1) *** on the density-functional theory calculation,surface-adsorbed E-Se is beneficial to optimizing the electron environment and the adsorption/desorption free energy of hydrogen/water of the hybrid catalyst,consequently facilitating the electrocatalytic water splitting *** is a proper I-Se/E-Se ratio to improve the catalytic activity and kinetics of the reaction and the optimized E-Se adsorption amount can balance the interactions between I-Se and E-Se,so that the catalyst can achieve appropriate Se-H binding and active site exposure for the excellent electrocatalytic *** demonstrate the practicality,the assembled symmetrical device can be powered by an AA battery to produce hydrogen and oxygen *** results provide a deeper understanding of the catalytic mechanism of transition metal selenides in water splitting and insights into the design of high-efficiency and low-cost electrocatalysts in energy-related applications.

关键词： Nickel selenide Self-regulation Bifunctional electrocatalysst Water splitting Alkaline hydrogen evolution reaction

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Doping Induced Diatomic Active Sites Over Moo3-X for Efficient and Stable Photocatalytic N2 Reduction to Ammonia

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SSRN 2024年

作者： Yu, Xinru Wang, Yongchao Ding, Jian Li, Zhen He, Bing Zeng, Zhaowu Xu, Xiangran Liu, Xiaoyi Wang, Huan Wang, Yang Faculty of Materials Science and Chemistry China University of Geosciences Wuhan430074 China State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile University Wuhan430200 China

The photocatalytic N2 reduction under ambient conditions offers a promising alternative to the energy-intensive and carbon-emitting Haber-Bosch process. However, unidirectional or symmetric adsorption between the active sites of a single metal and nitrogen molecules is not sufficient to activate the inert N2, thus limiting the further improvement of the nitrogen fixation performance. Here, Fe dopant has been introduced into MoO3-x nanowires by replacing Mo atoms to form Fe-Mo bimetallic active sites for nitrogen fixation under natural conditions. Experimental and theoretical findings demonstrate that the introduction of Fe induces a significant polarization in the charge structure of active site. In contrast to the conventional nitrogen fixation step, the Fe-Mo active sites shifted the N2 hydrogenation from the associative alternating pathway to the more advantageous associative distal pathway by promoting N2 adsorption/activation and lowering the energetic barriers of the rate-limiting step during nitrogen reduction. Moreover, the improved stability suggests that the doped Fe can act as a charge-compensating species, accepting electrons and therefore effectively improving the stability of oxygen-containing vacancy catalysts. Thus Fe-doped MoO3-x exhibits a nitrogen fixation performance of 742.92 μmol g-1 h-1. This study provides valuable insights into the design of catalysts based on their electronic structure and optimizing photocatalytic nitrogen fixation. © 2024, The Authors. All rights reserved.

关键词： Molybdenum oxide

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Preparation of meter-scale Cu foils with decimeter grains and the use for the synthesis of graphene films

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Journal of Materiomics 2024年第1期10卷 1-6页

作者： Ruitao Jia Fangzhu Qing Shurong Wang Yuting Hou Changqing Shen Feng Hao Yang Yang Hongwei Zhu Xuesong Li School of Integrated Circuit Science and Engineering(Exemplary School of Microelectronics) University of Electronic Science and Technology of ChinaChengdu610054China State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of ChinaChengdu610054China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhen518110China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu610054China PipeChina Southwest Pipeline Co. Ltd.Chengdu610041China State Key Lab of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijing100084China

Chemical vapor deposition(CVD)is the most promising method for the preparation of high-quality and large-area graphene films,especially the epitaxial growth of graphene on large-area single-crystal Cu *** single-crystal Cu foils are normally achieved by thermally annealing the commercial poly-crystalline Cu foils,their size and therefore the size of graphene films grown on them are limited to the size of the reaction *** report a simple and feasible method to prepare large-area Cu foils with decimeter grains by thermally annealing the rolled-up Cu foils,where the Cu layers are separated by thin porous carbon fiber *** carbon fiber cloths prevent Cu layers from sticking to each other at high temperatures while do not block the gas *** such a way,the utilization efficiency of the reaction chamber is significantly improved,e.g.,0.2 m×(1e2)m Cu foils can be processed even in a 5 cm diameter quartz tube ***-quality graphene films grown on such Cu foils are then *** method may be suitable for the annealing of other metal foils to enlarge grain size and the synthesis of other two-dimensional materials on them such as h-BN.

关键词： Graphene Single-crystal Cu Chemical vapor deposition Synthesis

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Structure-guided multiscale feature interaction based real-time dehazing network

Structure-guided multiscale feature interaction based real-t...

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Artificial Intelligence, Networking and Information technology (AINIT), International Seminar on

作者： Shengjie Yang Yuan Li School of Electronic and Electrical Engineering Wuhan Textile University Wuhan Hubei China State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile University Wuhan Hubei China

ISBN: (数字)9798350385557

ISBN: (纸本)9798350385564

Addressing the current limitations of outdoor dehazing methods, which overlook the specificity of target structures in image content, resulting in incomplete reconstruction of image structures, and the challenge of meeting real-time requirements for subsequent visual tasks with numerous structurally complex dehazing models. In this paper, we propose a structure-guided detail enhancement dehazing module based on prior knowledge of target structure in the image. Simultaneously, we effectively avoid redundant feature information by employing partial convolution, reducing the overall computational complexity of the model. During the downsampling process, we extract multi-scale feature information to enhance the model's feature extraction capability. In the reconstruction stage, we strengthen the interaction between features of different resolutions, achieving an efficient and straightforward real-time dehazing network. Extensive experiments on various dehazing task datasets demonstrate the effectiveness of our proposed model. With only 3.11 million parameters and 13.07 billion FLOPs, our model achieves an SSIM of over 0.988 on the SOTS-outdoor dataset. Larger model structures result in improved performance, as detailed in the experimental section.

关键词： Seminars Image resolution Computational modeling Feature extraction Visual effects Real-time systems Task analysis

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