检索结果-内蒙古大学图书馆

Effects of Interface Anisotropy on the Solidification Morphology of Zinc Alloys and Development of Data Assimilation for Their Estimation

引用

Tetsu-To-Hagane/Journal of the Iron and Steel institute of Japan 2025年第6期111卷 326-335页

作者： Yamamura, Ayano Yasuda, Hideyuki Takaki, Tomohiro Graduate School of Science and Technology Kyoto Institute of Technology Japan Department of Materials Science and Engineering Kyoto University Japan Faculty of Mechanical Engineering Kyoto Institute of Technology Japan

The solid–liquid interface energy anisotropy of Zn alloys remains poorly understood. Recently, characteristic 14-arm dendritic growth has been observed using time-resolved X-ray computed tomography at SPring-8 during the solidification of a Zn–4mass%Al alloy. This study investigates the dependence of the dendrite morphologies of Zn alloys on solid–liquid interface energy anisotropy through systematic phase-field simulations of the growth of an isolated equiaxed dendrite. We also develop a data assimilation system to estimate the anisotropy parameters of solid–liquid interface energy and crystal orientation in Zn alloys and validate the system through twin experiments. This study provides insights into the solidification of Zn alloys and a powerful tool for their investigation. © 2025 The Iron and Steel institute of Japan.

关键词： data assimilation dendrite phase-field method solidification solid–liquid interface energy zinc alloy

来源：评论

学校读者我要写书评

暂无评论

Superior electro-catalytic performance achieved by the negatively charged boron atom on BC3/TM/graphene sandwich heterostructures

引用

材料科学技术（英文版） 2025年第4期207卷 255-265页

作者： Juan Xie Jiawen Wang Yunpeng Shu Juan Yang Youyong Li Huilong Dong School of Materials Science and Engineering Jiangsu UniversityZhenjiang 212013China School of Materials Engineering Changshu Institute of TechnologyChangshu 215500China Institute of Functional Nano & Soft Materials(FUNSOM) Soochow UniversitySuzhou 215123China Macao Institute of Materials Science and Engineering Macau University of Science and TechnologyTaipa 999078Macau SARChina School of Materials Engineering Changshu Institute of TechnologyChangshu 215500China School of Materials Science and Engineering Jiangsu UniversityZhenjiang 212013China School of Materials Engineering Changshu Institute of TechnologyChangshu 215500China National Center for International Research on Intelligent Nano-Materials and Detection Technology in Environmental Protection Soochow UniversitySuzhou 215123China

The sandwich heterostructures(SHSs)are novel two-dimensional materials that hold great potential as efficient *** this work,we computationally designed the BC3/TM/Gr SHSs by intercalat-ing transition metal atoms into the BC3/graphene *** the computational screening,only BC3/Sc/Gr,BC3/Ti/Gr,BC3/Y/Gr and BC3/Zr/Gr are validated as stable *** electron donation from the intercalated TM atom results in the formation of the negatively charged boron atom(Bδ-)and activation of the BC3 surface,making the BC3/TM/Gr SHSs highly promising as single-atom catalysts(SACs).The BC3/Sc/Gr and BC3/Y/Gr SHSs exhibit potential in carbon dioxide reduction reaction(CO2RR)and carbon monoxide reduction reaction(CORR)***,when BC3/Y/Gr SHS serves as CORR electro-catalyst,the step(*CHO→*CHOH)is a potential determining step,with an extremely low limiting potential(UL=-0.10 V).The BC3/Ti/Gr and BC3/Zr/Gr SHSs are suitable as hydrogen evolution reaction(HER)***,the BC3/Ti/Gr SHS serves as an ideal HER electro-catalyst in acid condi-tion,with close-to-zero adsorption free energy(ΔGH=0.006 eV)and fairly low overall activation barrier(0.20 eV).By analyzing the electronic properties,the unique adsorption activity of the Bδ-on H atom and unsaturated CO2RR intermediates is elucidated as the origin of excellent catalytic activity of BC3/TM/Gr SHSs,which is modulated by the intercalated TM *** work is instructive to rational design of SACs towards energy conversion based on non-metal elements.

关键词： Single-atom catalysts Heterostructure Transition metal intercalation DFT calculation CO2 reduction Hydrogen evolution reaction

来源：评论

学校读者我要写书评

暂无评论

HDD-Net: Haar Dual Domain Network for Ring Artifacts Correction

IEEE Transactions on Computational Imaging

引用

IEEE Transactions on Computational Imaging 2025年 11卷 399-409页

作者： Wu, Xuelong Wang, Junsheng Zhao, Qingjie Beijing Institute of Technology School of Mechanical Engineering Beijing100081 China Beijing Institute of Technology Advanced Research Institute for Multidisciplinary Science School of Materials Science and Engineering Beijing100081 China Beijing Institute of Technology School of Computer Science Beijing100081 China

Ring artifacts are common artifacts in X-ray Computed Tomography (XCT) scans and have a significant impact on subsequent feature/phase extractions due to the small grayscale gradients in XCT volume data of bulk materials. This paper proposes the Haar Dual Domain Network for correcting ring artifacts. By utilizing the Haar wavelet decomposition on images containing ring artifacts in both the image and projection domains, the ring artifacts are preliminarily separated, facilitating their removal by neural networks while preserving microstructure features such as low-contrast phase boundaries. By constructing a feature fusion network, the information from both 2D slices and 3D projection volume data has been fully integrated to eliminate ring artifacts while preserving the edges of every feature. The effectiveness of the Haar wavelet transform and fusion network has been validated by ablation experiments, proving the application of HDD-Net to large volume of XCT data. © 2015 IEEE.

关键词： Wavelet decomposition

来源：评论

学校读者我要写书评

暂无评论

PDINN sandwiched silver nanowires for solution-processed semitransparent organic photovoltaics with over 4% light utilization efficiency and nearly 100% bifaciality factor

引用

Journal of Energy Chemistry 2025年第5期104卷 1-9页

作者： Junjie Wu Menghua Cao Xin Liu Rihong Zhu Jie Zhou Jiangsheng Yu Gang Li School of Electronic and Optical Engineering Nanjing University of Science and Technology Department of Electrical and Electronic Engineering Research Institute for Smart Energy (RISE) Photonic Research Institute (PRI) The Hong Kong Polytechnic University School of Chemistry and Chemical Engineering Nanjing University of Science and Technology

Semitransparent organic photovoltaics(ST-OPVs) for building integration represent a pivotal direction in the development of photovoltaic industry. Solution-processed silver nanowires(AgNWs) are considered promising candidates for transparent electrodes in semitransparent devices due to their high transparency-conductivity-efficiency merit, large-scale processability, and low cost. In this work, we develop two solution-processed organic–inorganic hybrid electrodes, named AgNWs-PD and AgNWsPC, utilizing AgNWs as the conductive framework and aliphatic amine-functionalized perylene-diimide(PDINN) as the sandwiched material, while AgNWs-PC exhibits significantly improved electrical conductivity and enhanced contact area with the underlying electron transport layer. The optimized device achieves a power conversion efficiency of 9.45% with an open circuit voltage of 0.846 V, a high filling factor of 75.4%, and an average visible transmittance(AVT) of 44.0%, delivering an outstanding light utilization efficiency(LUE) of 4.16%, which is the highest reported value for all solution-processed ST-OPVs. In addition, by coupling a 30-nm tellurium dioxide atop AgNWs-PC, the bifaciality factor of derivative devices improves from 73.7% to 99.4%, while maintaining a high bifacial LUE over 3.7%. Our results emphasize the superiority and effectiveness of PDINN-sandwiched AgNWs electrodes for highperformance and all solution-processed ST-OPVs.

关键词： Bifaciality factor Conventional structure Light utilization efficiency Semitransparent organic photovoltaics Silver nanowire electrode Solution-processed

来源：评论

学校读者我要写书评

暂无评论

Domain generalization with semi-supervised learning for people-centric activity recognition

引用

Science China(Information Sciences) 2025年第1期68卷 171-188页

作者： Jing LIU Wei ZHU Di LI Xing HU Liang SONG Academy for Engineering & Technology Fudan University Shanghai East-bund Research Institute on Networking Systems of AI School of Optoelectronic Information and Computer Engineering University of Shanghai for Science & Technology

People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems, healthcare services, and brain-computer interfaces. Large-scale data collection and annotation make the application of machine learning algorithms prohibitively expensive when adapting to new tasks. One way of circumventing this limitation is to train the model in a semi-supervised learning manner that utilizes a percentage of unlabeled data to reduce the labeling burden in prediction tasks. Despite their appeal, these models often assume that labeled and unlabeled data come from similar distributions, which leads to the domain shift problem caused by the presence of distribution gaps. To address these limitations, we propose herein a novel method for people-centric activity recognition,called domain generalization with semi-supervised learning(DGSSL), that effectively enhances the representation learning and domain alignment capabilities of a model. We first design a new autoregressive discriminator for adversarial training between unlabeled and labeled source domains, extracting domain-specific features to reduce the distribution gaps. Second, we introduce two reconstruction tasks to capture the task-specific features to avoid losing information related to representation learning while maintaining task-specific consistency. Finally, benefiting from the collaborative optimization of these two tasks, the model can accurately predict both the domain and category labels of the source domains for the classification task. We conduct extensive experiments on three real-world sensing datasets. The experimental results show that DGSSL surpasses the three state-of-the-art methods with better performance and generalization.

关键词： activity recognition deep learning domain generalization semi-supervised learning adversarial training

来源：评论

学校读者我要写书评

暂无评论

Synergistic surface restructuring and cation mixing via ultrafast Joule heating enhancing ultrahigh-nickel cathodes for advanced lithium-ion batteries

引用

Journal of Energy Chemistry 2025年第4期103卷 371-382页

作者： Haoyu Wang Jinyang Dong Meng Wang Yun Lu Hongyun Zhang Jinzhong Liu Yun Liu Na Liu Ning Li Qing Huang Feng Wu Yuefeng Su Lai Chen School of Materials Science and Engineering Beijing Key Laboratory of Environmental Science and Engineering Beijing Institute of Technology Chongqing Innovation Center Beijing Institute of Technology Testing Centre of Power Batteries China North Vehicle Research Institute

The implementation of ultrahigh-Ni cathodes in high-energy lithium-ion batteries（LIBs） is constrained by significant structural and interfacial degradation during *** this study,doping-induced surface restructuring in ultrahigh-nickel cathode materials is rapidly facilitated through an ultrafast Joule heating *** functional theory（DFT） calculations,synchrotron X-ray absorption spectroscopy（XAS）,and single-particle force test confirmed the establishment of a stable crystal framework and lattice oxygen,which mitigated H2-H3 phase transitions and improved structural ***,the Sc doping process exhibits a pinning effect on the grain boundaries,as shown by scanning transmission electron microscopy（STEM）,enhancing Li+diffusion kinetics and decreasing mechanical strain during *** in situ development of a cation-mixing layer at grain boundaries also creates a robust cathode/electrolyte interphase,effectively reducing interfacial parasitic reactions and transition metal dissolution,as validated by STEM and time-of-flight secondary ion mass spectrometry（TOF-SIMS）.These synergistic modifications reduce particle cracking and surface/interface degradation,leading to enhanced rate capability,structural integrity,and thermal ***,the optimized Sc-modified ultrahigh-Ni cathode（Sc-1） exhibits 93.99% capacity retention after 100 cycles at 1 C（25 ℃） and87.06% capacity retention after 100 cycles at 1 C（50℃）,indicating excellent cycling and thermal *** presenting a one-step multifunctional modification approach,this research delivers an extensive analysis of the mechanisms governing the structure,microstructure,and interface properties of nickel-rich layered cathode materials（NCMs）.These results underscore the potential of ultrahigh-Ni cathodes as viable candidates for advanced lithium-ion batteries（LIBs） in next-generation electric vehicles（EVs）.

关键词： Cation mixing layer In situ surface doping Lithium-ion batteries Structure and thermal stability Ultrahigh-nickel layered cathodes

来源：评论

学校读者我要写书评

暂无评论

A comprehensive investigation on nonlinear vibration and bending characteristics of bio-inspired helicoidal laminated composite structures

引用

Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 81-100页

作者： S.SAURABH R.KIRAN D.SINGH R.VAISH V.S.CHAUHAN School of Mechanical and Materials Engineering Indian Institute of Technology MandiMandiHimachal Pradesh 175005India

Bio-inspired helicoidal composite laminates,inspired by the intricate helical structures found in nature,present a promising frontier for enhancing the mechanical properties of structural ***,this study provides a comprehensive investigation into the nonlinear free vibration and nonlinear bending behavior of bio-inspired composite *** inverse hyperbolic shear deformation theory(IHSDT)of plates is employed to characterize the displacement field,with the incorporation of Green-Lagrange *** problem is modeled using the C0finite element method(FEM),and an in-house code is developed in the MATLAB environment to solve it *** helicoidal layup configurations including helicoidal recursive(HR),helicoidal exponential(HE),helicoidal semi-circular(HS),linear helicoidal(LH),and Fibonacci helicoidal(FH)with different layup sequences and quasi-isotropic configurations are *** model is validated,and parametric studies are *** studies investigate the effects of layup configurations,side-to-thickness ratio,modulus ratios,boundary conditions,and loading conditions at different load amplitudes on the nonlinear vibration and nonlinear bending behaviors of bio-inspired composite *** results show that the laminate sequence exerts a substantial impact on both nonlinear natural frequencies and nonlinear bending ***,this influence varies across different side-to-thickness ratios and boundary conditions of the bio-inspired composite plate.

关键词： finite element method(FEM) nonlinear Green-Lagrange inverse hyperbolic shear deformation theory(IHSDT) bio-inspired composite plate helicoidal

来源：评论

学校读者我要写书评

暂无评论

Spatial and temporal variations of microplastics in the lower Chao Phraya River, Thailand: an investigation during the COVID-19 pandemic period

引用

Environmental Science and Pollution Research 2025年第11期32卷 6970-6983页

作者： Xue, Wenchao Bhandari, Roshan Tutor, Jasmin Siengpairou, Nitcharat Tabucanon, Allan Sriratana Department of Water Resources and Environmental Engineering School of Engineering and Technology Asian Institute of Technology P.O. Box 4 Klong Luang Pathumthani 12120 Thailand Faculty of Environment and Resource Studies Mahidol University Nakhon Pathom71370 Thailand

This study systematically investigated the abundance, characteristics, and spatial and temporal variations of microplastics (MPs) in the lower Chao Phraya River, Thailand, during the COVID-19 pandemic. The study revealed an average MP abundance of 8.3 ± 5.8 particles/m3, mainly composed of polyethylene (PE) and polypropylene (PP) with fibers and fragments being the predominant shapes. Spatially, MP concentrations exhibited a notable increase downstream, particularly in highly urbanized areas. Temporally, MP concentrations showed slight elevation during the wet season, with clear seasonal variations in MP size and shape distributions attributed to the influence of urban storm runoff. Despite expectations of heightened MP pollution due to the COVID-19 pandemic, the study suggests a potential reduction in MP abundance, likely attributed to decreased socio-economic activities. Nonetheless, the long-term effects remain uncertain, underscoring the imperative for continuous monitoring and effective environmental management strategies. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Rivers

来源：评论

学校读者我要写书评

暂无评论

MLRT-UNet:An Efficient Multi-Level Relation Transformer Based U-Net for Thyroid Nodule Segmentation

引用

Computer Modeling in engineering & Sciences 2025年第4期143卷 413-448页

作者： Kaku Haribabu Prasath R Praveen Joe IR Department of Computer Science and Engineering RMK College of Engineering and TechnologyTiruvallur601206India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India

Thyroid nodules,a common disorder in the endocrine system,require accurate segmentation in ultrasound images for effective diagnosis and ***,achieving precise segmentation remains a challenge due to various factors,including scattering noise,low contrast,and limited resolution in ultrasound *** existing segmentation models have made progress,they still suffer from several limitations,such as high error rates,low generalizability,overfitting,limited feature learning capability,*** address these challenges,this paper proposes a Multi-level Relation Transformer-based U-Net(MLRT-UNet)to improve thyroid nodule *** MLRTUNet leverages a novel Relation Transformer,which processes images at multiple scales,overcoming the limitations of traditional encoding *** transformer integrates both local and global features effectively through selfattention and cross-attention units,capturing intricate relationships within the *** approach also introduces a Co-operative Transformer Fusion(CTF)module to combine multi-scale features from different encoding layers,enhancing the model’s ability to capture complex patterns in the ***,the Relation Transformer block enhances long-distance dependencies during the decoding process,improving segmentation *** results showthat the MLRT-UNet achieves high segmentation accuracy,reaching 98.2% on the Digital Database Thyroid Image(DDT)dataset,97.8% on the Thyroid Nodule 3493(TG3K)dataset,and 98.2% on the Thyroid Nodule3K(TN3K)*** findings demonstrate that the proposed method significantly enhances the accuracy of thyroid nodule segmentation,addressing the limitations of existing models.

关键词： Thyroid nodules endocrine system multi-level relation transformer U-Net self-attention external attention co-operative transformer fusion thyroid nodules segmentation

来源：评论

学校读者我要写书评

暂无评论

In-situ deposition and comparative study of electromagnetic absorption performance of MXene(Ti_(3)C_(2)T_(x))@nano-Fe_(1)Co_(0.8)Ni_(1)composites with different compositions

引用

International Journal of Minerals,Metallurgy and Materials 2025年第5期32卷 1259-1269页

作者： Hong Li Hongyang Li Zhenfeng Shen Shentao Zeng Feng Yang Qing Cai Wenqi Xu Ran Wang Cui Luo Ying Liu School of Materials Science&Engineering Beijing Institute of TechnologyBeijing 100081China Shanghai Aerospace Control Technology Institute Shanghai 201109China

Three sets of MXene(Ti_(3)C_(2)T_(x))@nano-Fe_(1)Co_(0.8)Ni_(1)composites with 15,45,and 90 mg MXene were prepared by in-situ liquid-phase deposition to effectively investigate the impact of the relationship between MXene(Ti_(3)C_(2)T_(x))and nano-Fe_(1)Co_(0.8)Ni_(1)magnetic particles on the electromagnetic absorption properties of the *** microstructure,static magnetic properties,and electromag-netic absorption performance of these composites were *** indicate that the MXene@nano-Fe_(1)Co_(0.8)Ni_(1)composites were primarily composed of face-centered cubic crystal structure particles and MXene,with spherical Fe_(1)Co_(0.8)Ni_(1)particles uniformly distrib-uted on the surface of the multilayered *** alloy particles had an average particle size of approximately 100 nm and exhibited good dispersion without noticeable particle *** the increase in MXene content,the specific saturation magnetic and coer-civity of the composite initially decreased and then increased,displaying typical soft magnetic *** with those of the Fe_(1)Co_(0.8)Ni_(1)magnetic alloy particles alone,MXene addition caused an increasing trend in the real and imaginary parts of the dielectric constant of the ***,the real and imaginary parts of the magnetic permeability exhibit decreasing *** the in-crease in MXene addition,the material attenuation constant increased and the impedance matching *** minimum reflection loss increased,and the maximum effective absorption bandwidth *** the MXene addition was 90 mg,the composite exhib-ited a minimum reflection loss of-46.9 dB with a sample thickness of 1.1 mm and a maximum effective absorption bandwidth of 3.60 GHz with a sample thickness of 1.0 *** effective absorption bandwidth of the composites and their corresponding thicknesses showed a decreasing trend with the increase in MXene addition,reducing by 50%from 1.5 mm without MXene addition to 1 mm with 9

关键词： MXene nano-Fe_(1)Co_(0.8)Ni_(1)alloy particles static magnetic properties electromagnetic wave absorption effective absorption bandwidth

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：