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Co-enhancement of thermal conduction and radiation through morphologies controlling of graphene functional layer for chip thermal management

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Nano Research 2024年第10期17卷 8885-8892页

作者： Shuting Cheng Kun Wang Shichen Xu Yi Cheng Ruojuan Liu Kewen Huang Hao Yuan Wenjuan Li Yuyao Yang Fushun Liang Fan Yang Kangyi Zheng Zhiwei Liang Ce Tu Mengxiong Liu Xiaomin Yang Jingnan Wang Xuzhao Gai Yuejie Zhao Xiaobai Wang Yue Qi Zhongfan Liu State Key Laboratory of Heavy Oil Processing College of ScienceChina University of PetroleumBeijing 102249China Centre for Nanochemistry Beijing Science and Engineering Centre for NanocarbonsBeijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China Beijing Graphene Institute(BGI) Beijing 100095China College of Energy Soochow Institute for Energy and Materials Innovations(SIEMIS)Jiangsu Provincial Key Laboratory for Advanced Carbon Materials and Wearable Energy TechnologiesSoochow UniversitySuzhou 215006China Department of Chemistry College of Chemistry and Materials EngineeringBeijing Technology and Business UniversityBeijing 100048China

With the continuous advancements in electronics towards downsizing and integration,efficient thermal dissipation from chips has emerged as a critical factor affecting their lifespan and operational *** fan-less chip cooling system has two critical interfaces for thermal transport,which are the contact interface between the base and the chip dominated by thermal conduction,and the surface of the fins dominated by thermal *** different thermal transfer modes of these two critical interfaces pose different requirements for thermal management *** the study,a novel approach was proposed by developing graphene thermal transport functional material whose morphology could be intentionally designed via reformed plasmaenhanced chemical vapor deposition(PECVD)methods to meet the diverse requirements of heat transfer ***,graphene with multilevel branching structure of vertical graphene(BVG)was fabricated through the hydrogenassisted PECVD(H_(2)-PECVD)strategy,which contributed a high emissivity of~*** was deposited on the fins’surface and functioned as the radiation enhanced layer to facilitate the rapid radiation of heat from the heat sinks into the surrounding ***,the well-oriented vertical graphene(OVG)was successfully prepared through the vertical electric field-assisted PECVD process(EF-PECVD),which showed a high directional thermal conductivity of~53.5 W·m^(-1)·K^(-1).OVG was deposited on the contact interface and functioned as the thermal conduction enhanced layer,allowing for the quick transmission of heat from the chip to the heat *** this design concept,the two critical interfaces in the chip cooling system can be jointly enhanced,resulting in a remarkable cooling efficiency enhancement of~30.7%,demonstrating that this novel material possessed enormous potential for enhancing the performance of cooling ***,this research not only provided new design concepts for the cooling system

关键词： chip thermal management thermal conduction thermal radiation graphene morphology control

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Lightweight Network Based on Improved Yolov8n for Clothing Image Detection

SSRN

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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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Iron anode-based aqueous electrochemical energy storage devices: Recent advances and future perspectives

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Interdisciplinary materials 2022年第1期1卷 116-139页

作者： Jian Jiang Jinping Liu Chongqing Key Lab for Advanced Materials and Clean Energies of Technologies School of Materials and EnergySouthwest UniversityChongqingChina State Key Laboratory of Advanced Technology for Materials Synthesis and Processing School of ChemistryChemical Engineering and Life ScienceWuhan University of TechnologyWuhanChina Key Laboratory for Photonic and Electronic Bandgap Materials Ministry of EducationSchool of Physics and Electronic EngineeringHarbin Normal UniversityHarbinChina

The ever-growing demands for green and sustainable power sources for ap-plications in grid-scale energy storage and portable/wearable devices have enabled the continual development of advanced aqueous electrochemical energy storage(EES)*** batteries and supercapacitors made of iron-based anodes are one of the most promising options due to the remark-able electrochemical features and natural abundance,pretty low cost and good environmental friendliness of ferruginous *** impressive ad-vances in developing the state-of-the-art ferruginous anodes and designing various full-cell aqueous devices have been made,there still remain key issues and challenges on the way to practical applications,which urgently need discussing to put forwards possible *** this review,rather than focusing on the detailed methods to optimize the iron anode,electrolyte,and device performance,we first give a comprehensive review on the charge storage mechanisms for ferruginous anodes in different electrolyte systems,as well as the newly developed iron-based aqueous EES *** deep in-sights,involving the inherent failure mechanisms and corresponding modification/optimization strategies toward iron anodes for the development of high-performance aqueous EES devices,will then be *** advances in applying iron-based aqueous EES devices for emerging fields such as flexible/wearable electronics and functionalized building materials will be further ***,future research trends and perspectives for maximizing the potential of current iron anodes and devices as well as exploiting brand-new iron-based aqueous EES systems are put forward.

关键词： aqueous batteries battolyser charge storage mechanism hybrid supercapacitors iron anode

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Trend Learning Based Loss Function for Time-Series Forecasting

SSRN

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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

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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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Structure modifications of wood-based materials for water treatment applications: A review

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materials Today 2025年 87卷 252-286页

作者： Zhu, Yaqin Wang, Shiyuan Liu, Yanbo Han, Jingquan Duan, Gaigai Fu, Qiliang Han, Xiaoshuai Zhang, Chunmei He, Shuijian Jiang, Shaohua Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources International Innovation Center for Forest Chemicals and Materials College of Materials Science and Engineering Nanjing Forestry University Nanjing210037 China State Key Laboratory of New Textile Materials and Advanced Processing Technologies School of Textile Science and Engineering Wuhan Textile University Wuhan430200 China Institute of Materials Science and Devices School of Materials Science and Engineering Suzhou University of Science and Technology Suzhou215009 China

With global freshwater scarcity and increasing water pollution due to industrial and agricultural activities, there is an urgent need for sustainable, high-performance water treatment materials. Conventional filtration and adsorption materials, such as polymer membranes and activated carbon, often suffer from high energy consumption, secondary pollution, and high production costs. In contrast, wood-based materials offer hierarchical porosity, natural adsorption sites, and tunable surface chemistry, making them a promising candidate for low-cost and environmentally friendly water treatment applications. In this review, we introduced the structure and properties of wood and described how these affect the preparation and water treatment properties of wood-based materials. We also summarized the structure design strategies for wood-based materials, mainly including delignification treatment, nanomaterials modification, functional group modification, and carbonation modification. In addition, we presented a comprehensive investigation of advances in the application of wood-based materials in water treatment with the aim of comparing, analyzing, and evaluating the practical functionality in sterilization, heavy metal ion removal, organic pollutants removal, oil/water separation, and desalination. Finally, we presented the serious challenges and new perspectives for wood-based materials in water treatment. © 2025 Elsevier Ltd

关键词： River pollution

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Assembly of Oxidized/Intrinsic 2D MXene Film for Improved Absorption Electromagnetic Shielding 17

Assembly of Oxidized/Intrinsic 2D MXene Film for Improved Ab...

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17th IEEE International Conference on Solid-state and Integrated Circuit technology, ICSICT 2024

作者： Guo, Yulin Li, Siteng Song, Jiafeng Sun, Yilin Liu, Zhifang Luo, Weijia School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing China School of Materials Science and Engineering Tsinghua University State Key Laboratory of New Ceramics and Fine Processing Beijing China

ISBN: (纸本)9798350361834

In recent years, two-dimensional transition metal carbon/nitride (MXene) has been widely used in the field of electromagnetic shielding due to its excellent solution processability and high conductivity. This article applies the intrinsic MXene material to avoid introducing other materials, and combines pure MXene with oxidized MXene to prepare composite films. The reason why the introduction of oxidized MXene can effectively improve the absorption rate of intrinsic MXene electromagnetic shielding films is due to its loose and porous structure. It is worth noting that the prepared composite film can still maintain a shielding efficiency of over 99.97% in the R-band (22-33GHz);In addition, compared to pure MXene film, the composite MXene film can increase the absorption rate of electromagnetic waves by 18.69%, achieving better green and environmentally friendly shielding characteristics. © 2024 IEEE.

关键词： Composite films

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La-substituted W-type barium-nickel ferrites for tunable and high-performance electromagnetic wave absorption

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International Journal of Minerals,Metallurgy and materials 2025年第3期32卷 645-656页

作者： Long Wang Jiurong Liu Shenghui Xie Yanli Deng Zhou Wang Shanyue Hou Shengying Yue Gang Wang Na Wu Zhihui Zeng Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials(Ministry of Education) School of Materials Science and EngineeringShandong UniversityJinan 250061China Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education and International Center for Dielectric ResearchSchool of Electronic Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China Army Engineering University of PLA College of Field Engineering Nanjing 210007China Laboratory for Multiscale Mechanics and Medical Science State Key Laboratory for Strength and Vibration of Mechanical StructuresSchool of AerospaceXi’an Jiaotong UniversityXi’an 710049China Department of Electrical and Computer Engineering Beckman Institute for Advanced Science and TechnologyUniversity of Illinois at Urbana-ChampaignUrbana 61801USA School of Chemistry and Chemical Engineering Shandong UniversityJinan 250100China

W-type barium-nickel ferrite(BaNi_(2)Fe_(16)O_(27))is a highly promising material for electromagnetic wave(EMW)absorption be-cause of its magnetic loss capability for EMW,low cost,large-scale production potential,high-temperature resistance,and excellent chemical ***,the poor dielectric loss of magnetic ferrites hampers their utilization,hindering enhancement in their EMW-absorption *** efficient strategies that improve the EMW-absorption performance of ferrite is highly desired but re-mains ***,an efficient strategy substituting Ba^(2+)with rare earth La^(3+)in W-type ferrite was proposed for the preparation of novel La-substituted ferrites(Ba_(1-x)LaxNi_(2)Fe_(15.4)O_(27)).The influences of La^(3+)substitution on ferrites’EMW-absorption performance and the dissipative mechanism toward EMW were systematically explored and ***^(3+)efficiently induced lattice defects,enhanced defect-induced polarization,and slightly reduced the ferrites’bandgap,enhancing the dielectric properties of the ***^(3+)also enhanced the ferromagnetic resonance loss and strengthened magnetic *** effects considerably improved the EMW-absorption perform-ance of Ba_(1-x)LaxNi_(2)Fe_(15.4)O_(27)compared with pure W-type *** x=0.2,the best EMW-absorption performance was achieved with a minimum reflection loss of-55.6 dB and effective absorption bandwidth(EAB)of 3.44 GHz.

关键词： electromagnetic wave absorption W-type barium ferrite rare earth dielectric

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Study on metal recovery process and kinetics of oxidative leaching from spent LiFePO_(4)Li-batteries

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Chinese Journal of Chemical Engineering 2024年第4期68卷 94-102页

作者： Xiaoming Zhang Wen Xie Xiaolei Zhou Wenjie Zhang Jiawei Wen Xin Wang Guoyong Huang Shengming Xu College of New Energy and Materials China University of PetroleumBeijing 102249China State Key Laboratory of Heavy Oil Processing College of Chemical EngineeringChina University of PetroleumBeijing 102249China Beijing Spacecrafts Beijing 100094China Ganfeng Lithium Group Co. Ltd.Xinyu 338000China Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084China Beijing Key Laboratory of Fine Ceramics Tsinghua UniversityBeijing 100084China

A green environmental protection and enhanced leaching process was proposed to recover all elements from spent lithium iron phosphate(LiFePO_(4)) lithium *** order to reduce the influence of Al impurity in the recovery process,NaOH was used to remove *** impurity removal,the spent LiFePO_(4) cathode material was used as raw material under the H_(2)SO_(4) system,and the pressure oxidation leaching process was adopted to achieve the preferential leaching of *** E-pH diagram of the Fe-P-Al-H_(2)O system can determine the stable region of each element in the recovery process of spent LiFePO_(4)*** the optimal conditions(500 r·min^(-1),15 h,363.15 K,0.4 MPa,the liquid-solid ratio was 4:1 ml·g^(-1)and the acid-material ratio was 0.29),the leaching rate of Li was 99.24%,Fe,Al,and Ti were 0.10%,2.07%,and 0.03%,*** Fe and P were precipitated and recovered as FePO_(4)·2H_(2)*** kinetic analysis shows that the process of high-pressure acid leaching of spent LiFePO_(4) materials depends on the surface chemical *** the life cycle assessment(LCA)of the spent LiFePO_(4) whole recovery process,eight midpoint impact categories were selected to assess the impact of recovery *** results can provide basic environmental information on production process for recycling industry.

关键词： Spent LiFePO_(4)Li-batteries Oxidative leaching Kinetic study Life cycle assessment

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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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