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Multiscale characterization of shale softening induced by water-based fluids 认领 引用 被引量：1
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作者 Jianting Du Andrew J.Whittle +2 位作者 Liming Hu Thibaut Divoux Jay N.Meegoda 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第3期1830-1841,共12页
Characterization of mechanical alterations of shale constituent phases is critical for an in-depth understanding of the underlying mechanisms of shale softening.In this study,a hydro-thermal reaction system is set up ... Characterization of mechanical alterations of shale constituent phases is critical for an in-depth understanding of the underlying mechanisms of shale softening.In this study,a hydro-thermal reaction system is set up to mimic the interactions between shale and water-based fluids under the subsurface environment in shale formations.Using a coupled analysis of grid nanoindentation and in situ mineralogical identification,mechanical alterations of shale constituent mineral phases are revealed.Mechanical degradation of carbonate and clay phases is 10 times greater than quartz,pyrite and organic phases.The KCl additive greatly mitigates mechanical degradation of the clay phase.The high temperature and pressure results in a mechanical degradation of carbonate minerals as much as three times of that occurs at room temperature and atmospheric pressure.Multiscale mechanical models,which are established based on Mori-Tanaka(MT)and self-consistent(SC)schemes,predict more accurate elastic softening of shale composite than the microindentation experiments,due to the microcracks generated in the experiments.Based on the calculation of the multiscale mechanical model,under the subsurface environment of shale formations(e.g.80℃ and 8 MPa),the carbonate dissolution leads to a reduction in Young's modulus of shale composite by about 30%,while the degradation of clay minerals only causes a reduction by up to 9%. 展开更多
关键词 Grid nanoindentation Hydro-thermal treatment Morphological and mineralogical identification Multiscale mechanical model Shale softening
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Cup wheel grinding in high-precision manufacturing:multiscale modeling,process innovation and sustainable practices 认领 引用
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作者 Pengcheng Zhao Bin Lin +8 位作者 Jingguo Zhou Bingrui Lv Jinming Li Xingwang Xu Hetian Hou Longfei Wang Yuxiao Cui Mamadsho Ilolovd Tianyi Sui 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期139-177,共39页
Cup wheel grinding has emerged as a core technique in high-precision manufacturing,offering unique advantages in efficient material removal and the machining of complex surfaces.This review provides a comprehensive ov... Cup wheel grinding has emerged as a core technique in high-precision manufacturing,offering unique advantages in efficient material removal and the machining of complex surfaces.This review provides a comprehensive overview of theoretical advancements,process innovations,and industrial applications of cup wheel grinding over the past decades.The theoretical discussion centers on multiscale modeling of grinding forces and heat generation,the regulation of surface integrity under thermo-mechanical coupling,and predictive approaches for wheel wear and service life.Furthermore,this review highlights the intrinsic links between material removal mechanisms and the control of subsurface damage.Moreover,this paper explores the fabrication and dressing of cup wheels,multi-objective parameter optimization strategies,multi-physics-assisted grinding techniques,and green cooling and lubrication solutions for enhancing efficiency and quality.Representative industrial applications demonstrate the irreplaceable role of cup wheel grinding in aerospace,energy,transportation,semiconductor,and optical manufacturing.This review outlines future research directions,including multiscale microano grinding modeling,sustainable monitoring,control strategies for green manufacturing,and the integration of physical models with data-driven intelligent manufacturing.In addition,this review aims to serve as a comprehensive reference for academic and industrial communities,driving innovation in cup wheel grinding technologies and new quality productivity. 展开更多
关键词 cup wheel grinding advanced materials processing multiscale modeling surface integrity intelligent manufacturing high-performance manufacturing
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Plug-and-play digital twin based on multiscale multiphysics reduced-order method for simulation of nuclear reactor primary circuit 认领 引用
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作者 Ya-Hui Wang Ze-Long Zhao +2 位作者 Hong-Hang Chi Zhe-Xian Liu Yu Ma 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第6期142-158,共17页
Multiscale multiphysics simulation is a key technology for nuclear reactor system design and analysis.However,its application and development are limited by the complexity of cross-scale simulation coupling and long c... Multiscale multiphysics simulation is a key technology for nuclear reactor system design and analysis.However,its application and development are limited by the complexity of cross-scale simulation coupling and long calculation times.To satisfy the real-time simulation requirements of modern reactor digital twins,this study establishes a digital twin of the reactor circuit using multiphysics and multiscale reduced-order methods.This digital twin is based on the plug-and-play approach,and all simulations of the components are replaced by independent 1D and 3D multiphysical reduced-order surrogate models.The complete system circuit can be composed of a combination of these surrogate models,which allows for the easy integration of new components and modification of existing components.A digital twin circuit is established for the test case.The reactor core is described using the 3D neutronicshermal-hydraulics model,whereas the steam generator is described using the 3D CFD model.The other components,including the heat and cold pipes,are described using a 1D reduced-order model.The numerical results show that the digital twin can accurately predict the multiphysics and multiscale behavior of the reactor circuit.The maximum relative error of the tested circuit is not larger than 0.05%,and the simulation time can be reduced to less than 2 ms.The proposed plug-and-play digital twin can be used to develop a new real-time digital twin system that can support reactor system design and analysis. 展开更多
关键词 Plug-and-play Digital twin Multiscale multiphysics Reduced-order Primary circuit
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A review of multiscale characterization methods of ion transport in solid-state electrolytes 认领 引用
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作者 Shanyan Huang Shijie Li +3 位作者 Zheng Huang Kailun Zhang Wei-Li Song Shuqiang Jiao 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第5期229-244,共16页
Solid-state batteries that present lower risk factors and higher energy density are promising for advanced energy storage and applications.In particular,solid-state electrolytes(SSEs)are the critical components that r... Solid-state batteries that present lower risk factors and higher energy density are promising for advanced energy storage and applications.In particular,solid-state electrolytes(SSEs)are the critical components that responsible for ionic transport between negative electrodes and positive electrodes.It is crucial to fundamentally understand the ionic transport models and behaviors in the SSEs,with purpose of enhancing ion transport rate and stability of SSEs.To rationally improve the solid-state ion transport behavior of electrolytes,this review summarizes recent progresses on the transport principles and multiscale characterization methods of ion transport in SSEs,including traditional electrochemical methods,frequency-dependent spectroscopy,two-dimensional morphological imaging and three-dimensional morphological imaging.It is emphasized that combination of multiscale and multiple methods would be a developing trend for fundamentally understanding the mechanism of ion transport in SSEs.According to comprehensive transport principle and behaviors,hierarchical fillers are designed for composite electrolytes with fast ionic transport abilities.The remaining challenges for establishing advanced multiscale characterization methods are also discussed. 展开更多
关键词 Lithium-ion battery Solid-state electrolytes Ion conduction models Multiscale characterization methods Electrode-electrolyte interface
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Atmospheric Boundary Layer Eco-Environment Shanghuang Observatory:An Integrated Multiscale Research Platform in Southeastern China for Understanding Boundary Layer Processes,Atmospheric Chemistry Feedback,and Extreme Weather–Climate Linkages 认领 引用
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作者 Zifa WANG Xiaole PAN +27 位作者 Yele SUN Jinyuan XIN Hang SU Junji CAO Jie LI Ting YANG Hang LIU Weijie YAO Weiqi XU Xueshun CHEN Wei ZHOU Yongjing MA Xueling CHENG JING YE Bo HU Rubin JIANG Zhe WANG Baozhu GE Lin WU Xinwei LI Jinxi LI Zichen WU Lei KONG Mingming ZHU Jia JIA Xingyu LI Xuekun FANG Lanzhong LIU 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第6期1291-1299,共9页
In the context of global warming,the increasing frequency of extreme weather events,meteorological disasters,and regional pollution events highlights the urgent need for targeted atmospheric observations in ecological... In the context of global warming,the increasing frequency of extreme weather events,meteorological disasters,and regional pollution events highlights the urgent need for targeted atmospheric observations in ecologically sensitive regions.The atmospheric boundary layer top remains a critical yet under-observed interface in climate and environmental research.To respond to this need,the Atmospheric Boundary Layer Eco-Environment Shanghuang Observatory(ABLES)was established in 2023 by the Institute of Atmospheric Physics,Chinese Academy of Sciences in Jinhua,southeastern China.As a high-altitude,state-of-the-art research platform,ABLES addresses the critical need for comprehensive atmospheric and environmental observations in East Asia.The observatory facilitates interdisciplinary research focusing on three core areas:(1)cross-sphere transport of pollutants between atmospheric layers and its environmental and climatic impacts;(2)physical and chemical interactions between clouds and aerosols under extreme weather conditions;and(3)multiscale feedback mechanisms between climate change and ecosystems.ABLES is also aimed at revealing long-term patterns in greenhouse gases,ozone depleting substances,and cloud properties,and to elaborate the formation mechanisms of severe weather events such as thunderstorms and freezing rain.The findings at ABLES will support advances in weather forecasting,air quality modeling,and adaptive strategies for climate resilience.As part of China's growing environmental monitoring network,ABLES has been collaborating with various research organizations,serving as a cooperative research platform for technological development and evidence-based environmental policymaking. 展开更多
关键词 multiscale research platform atmospheric environment extreme meteorology
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Steel Surface Defect Detection via the Multiscale Edge Enhancement Method 认领 引用
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作者 Yuanyuan Wang Yemeng Zhu +2 位作者 Xiuchuan Chen Tongtong Yin Shiwei Su 《Computers, Materials & Continua》 SCIE EI 2026年第3期1006-1032,共27页
To solve the false detection and missed detection problems caused by various types and sizes of defects in the detection of steel surface defects,similar defects and background features,and similarities between differ... To solve the false detection and missed detection problems caused by various types and sizes of defects in the detection of steel surface defects,similar defects and background features,and similarities between different defects,this paper proposes a lightweight detection model named multiscale edge and squeeze-and-excitation attention detection network(MSESE),which is built upon the You Only Look Once version 11 nano(YOLOv11n).To address the difficulty of locating defect edges,we first propose an edge enhancement module(EEM),apply it to the process of multiscale feature extraction,and then propose a multiscale edge enhancement module(MSEEM).By obtaining defect features from different scales and enhancing their edge contours,the module uses the dual-domain selection mechanism to effectively focus on the important areas in the image to ensure that the feature images have richer information and clearer contour features.By fusing the squeeze-and-excitation attention mechanism with the EEM,we obtain a lighter module that can enhance the representation of edge features,which is named the edge enhancement module with squeeze-and-excitation attention(EEMSE).This module was subsequently integrated into the detection head.The enhanced detection head achieves improved edge feature enhancement with reduced computational overhead,while effectively adjusting channel-wise importance and further refining feature representation.Experiments on the NEU-DET dataset show that,compared with the original YOLOv11n,the improved model achieves improvements of 4.1%and 2.2%in terms of mAP@0.5 and mAP@0.5:0.95,respectively,and the GFLOPs value decreases from the original value of 6.4 to 6.2.Furthermore,when compared to current mainstream models,Mamba-YOLOT and RTDETR-R34,our method achieves superior performance with 6.5%and 8.9%higher mAP@0.5,respectively,while maintaining a more compact parameter footprint.These results collectively validate the effectiveness and efficiency of our proposed approach. 展开更多
关键词 Steel defects object detection algorithms small target multiscale attention mechanism
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Superior Abrasibility of YSZ(ESP)/BN@ZrO2-Polyester Composite Sealing Coating Reinforcing With Hybrid Micron/Nanometer Multiscaled Pore Structure 认领 引用
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作者 Shuang Yu Shuqi Wang +6 位作者 Yaming Wang Jiao Han Zhiyun Ye Kai Lv Yongchun Zou Guoliang Chen Jiahu Ouyang 《Rare Metals》 SCIE EI CAS CSCD 2026年第5期335-351,共17页
Composite materials hold significant potential for abrasive sealing,yet composite materials used for abrasive sealing fall short in service durability under extreme environments.Here,a controllable strategy for adjust... Composite materials hold significant potential for abrasive sealing,yet composite materials used for abrasive sealing fall short in service durability under extreme environments.Here,a controllable strategy for adjusting pore structure is proposed,aiming to design a YSZ(ESP)/BN@ZrO2-polyester coating with hybrid micronanometer multiscaled pores to improve the mechanical stability and abradability.By adding porous feedstocks prepared by electrostatic spraying associated with phase inversion(ESP)in conjunction with the control strategy of pore-forming agents,the porosity of the composite coating is achieved at 27.5%,including 45.9%interlayer micropores to enhance abradability,and 54.1%intralayer nanopores to disperse and transfer stress.The BN@ZrO2lubricant with core-shell structure in YSZ(ESP)/BN@ZrO2-polyester effectively increases the operating temperature of BN,ensures its effective release,and forms a smooth"glaze"layer at 1000℃,thereby reducing the coefficient of friction to 0.2.The hybrid micronanometer multiscale pores in the coating increase the intrusion depth ratio to-67%,and the uniformly distributed nanopores avoid delamination caused by weak interlayer adhesion,effectively improving hightemperature abradability and service durability.The findings underscore the substantial potential of the proposed YSZ(ESP)/BN@ZrO2-polyester coating,facilitating applications across diverse domains such as hypersonic aircraft,naval vessels,and ground power generation gas turbine engines. 展开更多
关键词 abradable sealing coatings(ASCs) abrasibility electrostatic spraying associated with phase inversion(ESP) multiscale pores structure
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GLMCNet: A Global-Local Multiscale Context Network for High-Resolution Remote Sensing Image Semantic Segmentation 认领 引用
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作者 Yanting Zhang Qiyue Liu +4 位作者 Chuanzhao Tian Xuewen Li Na Yang Feng Zhang Hongyue Zhang 《Computers, Materials & Continua》 SCIE EI 2026年第1期2086-2110,共25页
High-resolution remote sensing images(HRSIs)are now an essential data source for gathering surface information due to advancements in remote sensing data capture technologies.However,their significant scale changes an... High-resolution remote sensing images(HRSIs)are now an essential data source for gathering surface information due to advancements in remote sensing data capture technologies.However,their significant scale changes and wealth of spatial details pose challenges for semantic segmentation.While convolutional neural networks(CNNs)excel at capturing local features,they are limited in modeling long-range dependencies.Conversely,transformers utilize multihead self-attention to integrate global context effectively,but this approach often incurs a high computational cost.This paper proposes a global-local multiscale context network(GLMCNet)to extract both global and local multiscale contextual information from HRSIs.A detail-enhanced filtering module(DEFM)is proposed at the end of the encoder to refine the encoder outputs further,thereby enhancing the key details extracted by the encoder and effectively suppressing redundant information.In addition,a global-local multiscale transformer block(GLMTB)is proposed in the decoding stage to enable the modeling of rich multiscale global and local information.We also design a stair fusion mechanism to transmit deep semantic information from deep to shallow layers progressively.Finally,we propose the semantic awareness enhancement module(SAEM),which further enhances the representation of multiscale semantic features through spatial attention and covariance channel attention.Extensive ablation analyses and comparative experiments were conducted to evaluate the performance of the proposed method.Specifically,our method achieved a mean Intersection over Union(mIoU)of 86.89%on the ISPRS Potsdam dataset and 84.34%on the ISPRS Vaihingen dataset,outperforming existing models such as ABCNet and BANet. 展开更多
关键词 Multiscale context attention mechanism remote sensing images semantic segmentation
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Impact of multiscale flow structures on mixing and losses in turbine blade tip region 认领 引用
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作者 Zhengping ZOU Lin HUANG Yifan WANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第2期44-79,共36页
Multiscale mixing of the turbine blade tip leakage and mainstream flows causes considerable aerodynamic loss.Understanding it is crucial to correctly estimating the mixing loss and thus improving the turbine's per... Multiscale mixing of the turbine blade tip leakage and mainstream flows causes considerable aerodynamic loss.Understanding it is crucial to correctly estimating the mixing loss and thus improving the turbine's performance.The multiscale mixing phenomenon in a typical high-pressure turbine rotor flow was studied in this work.The contributions of various scale flows to entropy production and mixing properties were identified.The corresponding physical mechanisms at different scales were explored.It is shown that the large-scale and time-averaged flow contributions to mixing are significant,accounting for approximately 37.1% and 25% of the total.Time-averaged and large-scale flows cause the majority of the fluid deformation of the material surface,while mesoand small-scale flows just generate finer deformations.It raises the area stretch coefficient and the virtual concentration gradient.Thus,mixing is enhanced.Furthermore,time-averaged and large-scale flows account for the majority of the losses in the upstream and downstream regions of the blade tip respectively,accounting for approximately 53.8%and 33.5%of the total.The sheet-like structures—rather than the tip leaking vortex—are the primary source of the loss.High-dissipation regions are produced by the sheet-like structures via the pressure Hessian term and the self-amplification terms. 展开更多
关键词 Entropy production analysis Mixing Multiscale flows Tip leakage flow Turbine
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Role of Multiscale Interactions within the Westerly Wind Bursts in MJO Prediction 认领 引用
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作者 Jian LING Yuanwen ZHANG Chongyin LI 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第3期489-503,共15页
This study reveals the critical role of multiscale interaction within the westerly wind bursts(WWBs)west of the MJO convection in modulating the prediction skill for the November MJO event during the DYNAMO(Dynamics o... This study reveals the critical role of multiscale interaction within the westerly wind bursts(WWBs)west of the MJO convection in modulating the prediction skill for the November MJO event during the DYNAMO(Dynamics of the Madden–Julian Oscillation)field campaign.The characteristics of the MJO convection envelope are obtained by the largescale precipitation tracking method,and a novel metric is introduced to quantify the prediction skill for the MJO convection in the ECMWF reforecast.The ECMWF forecast exhibits approximately 17 days in skillful prediction for the MJO convection—significantly lower than that derived from the global measure.The reforecast ensembles are further classified into high and low skill catalogs based on the mean prediction skill during the observed WWBs period.High-skill ensembles exhibit significantly enhanced low-level westerlies,amplified MJO convection,and reduced spatial separation between the low-level westerlies and MJO convection during the WWBs period,indicating stronger coupling between the large-scale circulation and the convection.Mechanistic analysis reveals that enhanced westerlies in high-skill ensembles can transfer more high-frequency energy to the MJO convection through the flux convergence of interaction energy for MJO convection development,resulting in better prediction skill. 展开更多
关键词 MJO convection envelope prediction multiscale interaction
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Finite-difference heterogeneous multiscale method for elastic Helmholtz equation in isotropic media 认领 引用
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作者 Wei Jiang Xue-Hua Chen Cong Wang 《Petroleum Science》 SCIE EI CAS CSCD 2026年第4期1860-1889,共30页
The elastic Helmholtz equation is capable of readily simulating attenuation and dispersion behaviors of the elastic wave and performing full-wavefield modeling in wave-equation-based elastic inversions and migrations.... The elastic Helmholtz equation is capable of readily simulating attenuation and dispersion behaviors of the elastic wave and performing full-wavefield modeling in wave-equation-based elastic inversions and migrations.However,solving the elastic Helmholtz equation using a finite-difference frequency-domain(FDFD)method is computationally prohibitive especially in heterogeneous media with fine-scale heterogeneities.The FDFD method usually leads to a large discrete linear system of the elastic Helmholtz equation.We develop a multiscale method of FDFD to solve the elastic Helmholtz equation in isotropic media based on the general framework of heterogeneous multiscale method(HMM).The HMM framework decomposes the elastic Helmholtz problem into a series of microscale problems and a macroscale problem.The idea of multiscale basis functions is introduced to decouple the coupled microscale and macroscale problems and to capture fine-scale heterogeneity in medium properties.A reconstruction-based downscaling coupling and a flux-based upscaling coupling are used to convey the fine-scale medium heterogeneity to a coarse scale.The dimension of the resulting linear system is much smaller than those of linear systems generated with the conventional FDFD methods.We use a homogeneous model and a heterogeneous model to investigate the effects of the size of local sampling domains and the coarse-element number per S-wave wavelength on the accuracy of our new method,and employ two highly heterogeneous models to demonstrate the superiority in terms of the efficiency and memory consumption of our method based on the optimal local sampling-domain size and stable coarse-mesh discretization.The results demonstrate that our new method can approximate the finescale reference FDFD solutions with a significant decrease in computational complexity. 展开更多
关键词 Elastic Helmholtz equation Finite-difference Heterogeneous multiscale method Isotropic media
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Editorial:Multiscale transport mechanism of nonequilibrium flow 认领 引用
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作者 Kun Xu Chengwen Zhong 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第2期1-2,共2页
The rapid progress of modern science and engineering increasingly hinges on our ability to model,simulate,and control systems that span a wide range of temporal and spatial scales.From hypersonic flight and micro-nano... The rapid progress of modern science and engineering increasingly hinges on our ability to model,simulate,and control systems that span a wide range of temporal and spatial scales.From hypersonic flight and micro-nano de-vices to plasma physics,radiative transfer,and multiphase flows,real-world applications routinely traverse regimes where neither classical continuum descriptions nor purely kinetic treatments suffice on their own. 展开更多
关键词 hypersonic flight multiphase flowsreal world continuum descriptions transport nonequilibrium mechanism multiscale kinetic treatments
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From cells to patients:Multiscale computational pathology in the era of foundation models and vision-language systems 认领 引用
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作者 Zeyu Gao Jiusong Ge +8 位作者 Junbo Lu Lei Wu Hannah Clayton Di Zhang Jiashuai Liu Inês Prata Machado Yan Chen Mireia Crispín‑Ortuzar Chen Li 《Intelligent Oncology》 CAS 2026年第3期66-75,共10页
Computational pathology is fundamentally defined by its inherent hierarchical structure,spanning from nuclear morphology and cellular interactions to tissue microenvironments,ultimately integrating into whole-slide im... Computational pathology is fundamentally defined by its inherent hierarchical structure,spanning from nuclear morphology and cellular interactions to tissue microenvironments,ultimately integrating into whole-slide images for patient-level prognostic profiling.While traditional deep learning approaches have achieved remarkable success in specific tasks,the recent emergence of large-scale foundation models and vision-language models has precipitated a paradigm shift in the field.These data-driven systems,characterized by their robust representation learning and semantic reasoning capabilities,are redefining how we analyze pathological data across diverse spatial scales.In this review,we provide a comprehensive synthesis of this transformation through a multiscale lens.We systematically survey the application of foundation models and vision-language models in deciphering biological complexity,ranging from cell-level segmentation and tissue phenotyping to whole-slide image-level prediction and multimodal integration.Furthermore,we critically analyze the limitations of current approaches,such as interpretability,computational efficiency,and data bias,then outline promising future directions for developing holistic,context-aware systems that bridge the gap between pixel-level features and patient-centric clinical decision-making. 展开更多
关键词 Computational pathology Foundation model Multiscale modeling
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A multiscale residual dense fusion network for nuclear medical image fusion 认领 引用
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作者 Jun Fu Gengyu Ge +5 位作者 Yihui Tan Miaoqiang Yang Qian Wang Jie Yang Ya Wang Aijia Ouyang 《Intelligent Oncology》 CAS 2026年第2期53-65,共13页
Introduction:Multimodal medical image fusion technology generates new images containing more accurate disease information by fusing different modal images.It not only improves the accuracy and efficiency of diagnosis ... Introduction:Multimodal medical image fusion technology generates new images containing more accurate disease information by fusing different modal images.It not only improves the accuracy and efficiency of diagnosis but also provides strong support for the formulation of treatment plans.Meanwhile,it also shows great potential value in disease monitoring,personalized medicine,and clinical research.Although different multimodal medical image fusion methods have been presented,most of them are hindered by information loss,blurred edges,and low fusion efficiency.Methods:To solve these problems,this paper proposes a multiscale residual dense fusion network(MRDFN)for multimodal medical image fusion.MRDFN integrates the strengths of both the multiscale residual network and dense network to achieve feature extraction and fusion.Results:Experiments show that the fusion images of the proposed method are superior to the reference methods in terms of edge intensity,detail definition,and objective metrics.The comparative analysis of these fusion metrics proves that the fusion image quality of MRDFN is better than that of the reference methods.The suggested method achieves higher values in average gradient,standard deviation,spatial frequency,and visual information fidelity for fusion,with average gradient reaching 2.0 times the average of the comparison algorithms,standard deviation 1.2 times,spatial frequency 2.3 times,and visual information fidelity for fusion 1.3 times.Conclusions:The findings in this study demonstrate that MRDFN outperforms other approaches discussed in the analysis,particularly in objective metrics and detailed information,and the average fusion time of MRDFN is lower than that of most reference methods,demonstrating effective multimodal medical image fusion. 展开更多
关键词 Multimodal medical image Multiscale residual dense Fusion network
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Multiscale regulation of thermodynamics and kinetics in high-entropy body-centered cubic type hydrogen storage alloys 认领 引用 被引量：1
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作者 Zefeng Li Yi Jiang +6 位作者 Junjie Li Yangfan Lu Xiaoming Xiong Shenglan Yang Qun Luo Yan Yang Qian Li 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第5期1496-1522,I0076-I0091,共27页
The thermodynamic and kinetic properties of body-centered-cubic(BCC)hydrogen storage alloys highly depend on their chemical compositions,making high-entropy alloying a promising strategy for performance optimization.H... The thermodynamic and kinetic properties of body-centered-cubic(BCC)hydrogen storage alloys highly depend on their chemical compositions,making high-entropy alloying a promising strategy for performance optimization.However,clarifying how multi-principal element compositions regulate multiscale structures and thereby influence their hydrogen storage performance remains challenging,which limits the rational design of high-performance BCC high-entropy alloys(HEAs).This review provides a comprehensive overview of the recent advances in BCC HEAs for hydrogen storage,with emphasis on the multiscale regulation of their thermodynamics and kinetics.Empirical descriptor-guided composition screening,thermodynamic modeling based on the CALculation of PHAse Diagrams,and data-driven and machine learning-assisted approaches are discussed.In addition,the roles of melting-based processing,mechanical alloying,and emerging fabrication strategies in controlling the chemical homogeneity,defect structures,and microstructural stability of materials are examined.The hydrogen storage performance is analyzed in terms of activation behavior,thermodynamics,kinetics,and cyclic stability,with a focus on the underlying governing factors and mechanistic origins.Finally,prospective challenges and research directions are outlined to guide the design and processing of BCC HEAs. 展开更多
关键词 body-centered-cubic high-entropy alloys hydrogen storage multiscale regulation hydrogenation/dehydrogenation properties thermodynamics and kinetics
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Multiscale anisotropic mechanical properties of oil shale:New insights from nanoindentation profiling 认领 引用
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作者 Zi-Geng Pei Guang-Lei Cui +5 位作者 Yong-Ting Duan Yu-Ling Tan Derek Elsworth Wang-Xing Cheng Ning-Liang Sun Zhe-Jun Pan 《Petroleum Science》 SCIE EI CAS CSCD 2026年第1期33-51,共19页
Oil shale reservoirs are characterized by significant heterogeneity in mineral components and pronounced anisotropy in micromechanical properties—both influencing resource recovery.We couple fine-scale nanoindentatio... Oil shale reservoirs are characterized by significant heterogeneity in mineral components and pronounced anisotropy in micromechanical properties—both influencing resource recovery.We couple fine-scale nanoindentation and mineral analyzer(Tescan Integrated Mineral Analyzer(TIMA))profiling of the mechanical properties and components of oil shale samples from the Ordos Basin,China.We use an updated clustering method,including a more precise way to delineate mineral boundaries,to precisely categorize the numerous nanoindentation test data into mineral composition groups.The lowestto-highest ranking of Young's modulus and fracture toughness values in our samples is in the order clay,quartz,feldspar,dolomite,and then pyrite.Anisotropic characteristics of each phase were determined at various scales,with values of Young's modulus and fracture toughness are higher on surfaces parallel to the bedding plane than on those perpendicular to it.The clay-rich dark phase exhibits lower Young's modulus,making its pore structures more prone to collapse during gas depletion.Conversely,the fracture toughness of the bright phase is higher than that of the dark phase,causing the hydraulic fractu ring to mo re easily penetrate through the dark phase and stop at the bright phase bounda ry.These divergences in mechanical properties are caused by the microstructure of the oil shale during sedimentation:the discrete distribution of hard minerals in the bright phase constrains deformation,while the lamellar clay layers in the dark phase provide less restriction.Upgraded mesoscopic mechanical parameters obtained from the modified Mori-Tanaka method,incorporating a shape factor,return results close to reality.Young's modulus and fracture toughness are lower at the mesoscale than at the microscale,indicating greater rigidity and toughness in fine structures.This study provides important insights into the cross-scale deformation and fracture behavior of shale,highlighting its impact on reservoir deformation,fracture propagation,and oil recovery efficiency. 展开更多
关键词 Lacustrine shale Multiscale anisotropy Clustering method Upscaling method Homogenization analysis
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Charge-structure synergy in reservoir wettability reversal:Investigating with an integrated optical-multiscale framework 认领 引用
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作者 Chao Song Yi-Qin Yang +14 位作者 Wen-Ya Zhang Xin Liu Zhi-Yuan Xu Ke-Xin Li Hao Zhang Chun-Qing Si Si-Hao Ma Jia-Ning Zhang Yan-Yan Wang Bo-Wen Sun Sheng-Nan Wu Mei-Yi Qing Qi-Chao Lv Jing Wang Hong-Lei Zhan 《Petroleum Science》 SCIE EI CAS CSCD 2026年第3期1459-1468,共10页
Reservoir wettability modification is a key strategy for enhancing oil recovery(EOR),yet the mechanisms driving this reversal remain incompletely understood due to the scarcity of multiscale characterization methods.I... Reservoir wettability modification is a key strategy for enhancing oil recovery(EOR),yet the mechanisms driving this reversal remain incompletely understood due to the scarcity of multiscale characterization methods.In this study,we developed an integrated multiscale framework that combines contact angle measurements,rheological analysis,quartz crystal microbalance with dissipation monitoring(QCM-D),and oblique-incidence reflectivity difference(OIRD)to investigate surfactant-mediated wettability reversal.Our findings reveal distinct charge-dependent pathways:anionic sodium dodecyl sulfate(SDS)promotes monotonic hydrophilization through hydrophobic-driven monolayer adsorption.In contrast,cationic cetyltrimethylammonium bromide(CTAB)exhibits a non-monotonic wettability transition—initially increasing hydrophobicity before sharply reversing to a hydrophilic state.This behavior arises from initial electrostatic adsorption forming hydrophobic monolayers,followed by post-critical micelle concentration(post-CMC)micellar co-adsorption,a process involving interfacial integration and reorganization of surfactant micelles that culminates in bilayer formation and hydrophilic reversal.CTAB’s cationic groups enable strong electrostatic anchoring to negatively charged mica substrates,facilitating dense monolayer-to-bilayer transitions.Conversely,SDS anionic headgroups experience electrostatic repulsion,limiting adsorption to disordered monolayers.This multiscale approach offers critical mechanistic insights for optimizing functional coatings and microfluidic systems via precise wettability control. 展开更多
关键词 Wettability alteration Solid-liquid interface Oblique-incidence reflectivity difference (OIRD) Dielectric constant Interface thickness Multiscale characterization
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Multiscale synergistic enhancement mechanism of solid-liquid mixing in multi-shaft stirred reactors under variable-speed operation 认领 引用
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作者 Tong Meng Yu Wang +5 位作者 Yijuan Tian Shuang Qin Yuyan Lin Peiqiao Liu Yundong Wang Zuohua Liu 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第2期293-307,共15页
Research on the solid-liquid mixing process and its enhancement mechanisms in multi-shaft stirred reactors still face challenges that limit its industrial applications.This work employs the RNG k-εmodel combined with... Research on the solid-liquid mixing process and its enhancement mechanisms in multi-shaft stirred reactors still face challenges that limit its industrial applications.This work employs the RNG k-εmodel combined with the EE-KTGF model to numerically simulate the solid-liquid mixing process within a multi-shaft stirred reactor,yielding satisfactory results when compared to experimental data.Comparative analysis of the solid-liquid mixing performance under four different operational conditions reveals that applying variable speed conditions to the bottom impeller results in a smaller solid concentration gradient,reduced particle settling rates,and an improvement in solid homogeneity by 2.74% to 3.22% compared to other operational conditions.This operational condition enables more effective suspension and uniform distribution of solid particles throughout the reactor,thereby enhancing overall mixing efficiency.Flow fieldanalysis under different operational conditions indicates that applying variable speed to the bottom impeller significantlyimproves flow fieldstability,reduces axial back-mixing,and optimizes the axial distribution of solid particles.Further dynamic mode decomposition of the flowfieldand time series analysis of modal coefficientselucidate a multi-scale synergistic nesting chaos-enhanced mechanism characterized by“macroscopic stability,mesoscopic matching,and microscopic resonance”.This work provides a theoretical foundation for the design and operational optimization of multi-shaft stirred reactors. 展开更多
关键词 Multi-shaft stirred reactors Two-phase flow Mixing Computational fluiddynamics Multiscale Dynamic mode decomposition
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Multiscale heat budget analysis of upper ocean responses to Typhoon Kalmaegi(2014)in the South China Sea 认领 引用
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作者 Jinyu Cai Juncheng Xie +3 位作者 Ze Meng Guoqing Han Peng Bai Yu Liu 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2026年第4期17-32,共16页
A comprehensive understanding of the upper ocean response to typhoons is critical for improving typhoon intensity prediction.Mesoscale and submesoscale oceanic processes play key roles in the upper ocean heat budget,y... A comprehensive understanding of the upper ocean response to typhoons is critical for improving typhoon intensity prediction.Mesoscale and submesoscale oceanic processes play key roles in the upper ocean heat budget,yet their contributions to sea surface cooling(SSC)under typhoon forcing remain insufficiently understood.This study employs a one-way offline nested model configuration(9 km parent grid and 2 km child grid)to examine the multiscale thermal response of the South China Sea during Typhoon Kalmaegi(2014).Heat budget diagnostics showed that vertical diffusion was the dominant driver of SSC,with its overall magnitude only weakly dependent on model resolution,although significant local modulation by advection was observed at eddy peripheries.Horizontal temperature advection partially compensated for mixing-induced cooling on the basin scale,while locally enhancing cooling at frontal zones,and its inter-resolution differences primarily arose from variations in the advection of temperature gradients by the background flow.The high-resolution simulation revealed substantial intensification of mesoscale and submesoscale temperature gradients,with mesoscale gradients shaping the large-scale structure of advection differences and submesoscale gradients providing localized fine-scale modulation.These results demonstrate that multiscale dynamical processes,together with vertical mixing,jointly determine the spatial pattern of SSC.The findings highlight the importance of resolving or adequately parameterizing mesoscale and submesoscale processes in ocean-typhoon interaction and prediction models. 展开更多
关键词 typhoon submesoscale processes mesoscale processes heat budget analysis ocean-typhoon multiscale interaction
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Laser-induced broad-spectrum strong absorption multiscale carbon-based nanofilms for photonic debonding based on the spatial confinement effect 认领 引用
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作者 Huijuan Liu Yanlei Hu +5 位作者 Fangcheng Wang Qiang Liu Chenghao Ma Mingqi Huang Guoping Zhang Rong Sun 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期510-527,共18页
The photonic debonding process demonstrates significant potential for application in large-size wafer-level/panel-level advanced packaging owing to its advantages of high throughput,high precision,and ease of manipula... The photonic debonding process demonstrates significant potential for application in large-size wafer-level/panel-level advanced packaging owing to its advantages of high throughput,high precision,and ease of manipulation.However,conventional metal-based release materials still face the challenge of low photothermal conversion efficiency,which leads to the photonic debonding process not only requiring high-power equipment,but also suffering from time-and energy-consuming as well as safety concerns.Here,we propose a method to prepare laser-induced graphite films(LIGF)in situ on glass surfaces based on the spatial confinement effect.Thanks to the unique“flat bone”multiscale nanostructure,the absorption rate of LIGF is higher than 95%in a wide wavelength band of 200-1100 nm,which dramatically improves the photothermal conversion efficiency of the released material.Under pulsed flash irradiation,the LIGF-based release layer absorbs photon energy and generates a transient high temperature,which causes thermal decomposition of the organic adhesive material in contact with the release layer,enabling rapid separation at the interface of release layer and adhesive layer(R/A).Compared to metal-based release materials,LIGF is able to reduce the photonic debonding threshold of the same bonding pair by∼40%,and the R/A separation interface exhibits the advantages of no carbon debris and easy cleaning.It is noteworthy that the LIGF release layer remains virtually undamaged after photonic debonding and allowing multiple reuses.In addition,the ultra-low transmittance(≤0.02%)of the LIGF release layer prevents light leakage-induced damage to the device surface.The prepared LIGF release material demonstrates exceptional thermal and chemical resistance,ensuring robust industrial adaptability.These properties make it a promising candidate for large-scale wafer-/panel-level photonic debonding in advanced packaging applications. 展开更多
关键词 photonic debonding broad-spectrum absorption multiscale nanostructure spatial confinement effect advanced packaging
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