期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到37,232篇文章
< 1 2 … 250 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
AI-driven interpretation and prediction of embedded printability based on rheology 认领 引用 被引量：1
1
作者 Xianhao Zhou Zhenrui Zhang +7 位作者 Jintian Yu Lixi Ma Sicheng Ma Bingyan Wu Zixuan Wang Ting Zhang Yongcong Fang Zhuo Xiong 《Bio-Design and Manufacturing》 SCIE EI CAS CSCD 2026年第1期63-79,I0003-I0012,共17页
Embedded printing is a highly promising approach for creating complex structures within a yield-stress support bath.However,the accurate prediction and control of printability remain fundamental challenges due to the ... Embedded printing is a highly promising approach for creating complex structures within a yield-stress support bath.However,the accurate prediction and control of printability remain fundamental challenges due to the complex interactions between inks and support baths.Here,we present an artificial intelligence(AI)-driven framework that interprets and predicts embedded printability using rheological data.Using a standardized workflow,we extracted 21 rheological descriptors and established 12 indicators to evaluate structural continuity and geometric fidelity.Interpretable machine learning models revealed that direction-dependent defects are governed by the synergistic interplay among ink yield stress,support bath zero shear viscosity,flow behavior index,and time constant.To enable the prediction of printability in a generalizable manner,we further developed a cascaded neural network,which achieved mean relative prediction errors below 15%across all indicators.Experimental validation using three-dimensional(3 D)-printed constructs and micro-computed tomography(μCT)reconstructions confirmed a strong correlation between predicted and actual fidelity.This work establishes a physics-informed,data-driven paradigm for decoding and optimizing embedded printing,offering broad applicability and providing a robust tool for the rapid pairing of suitable printable ink-support bath combinations. 展开更多
关键词 Embedded bioprinting Printability Rheology Machine learning Neural network
暂未订购 下载PDF
A multi-scale fracture prediction method based on improved deep embedded clustering 认领 引用
2
作者 Yu-jia Lu Chao Chen +2 位作者 Zhu-jiang Liu Fu-bin Wei Zhe-ge Liu 《Applied Geophysics》 SCIE CSCD 2026年第2期571-590,867,共20页
Accurately characterizing the distribution and scale characteristics of fractures in subsurface media is a crucial step for quantitatively evaluating shale gas sweet spots and guiding reservoir fracturing stimulation.... Accurately characterizing the distribution and scale characteristics of fractures in subsurface media is a crucial step for quantitatively evaluating shale gas sweet spots and guiding reservoir fracturing stimulation.However,a single seismic attribute is often used to identify fracture features of a specifi c scale,making it diffi cult to achieve detailed characterization of fractures across multiple scales simultaneously.Multi-attribute fusion algorithms often focus on statistical correlations,lacking in-depth exploration of the spatial topological relationships and intrinsic physical connections among fractures of diff erent scales,resulting in reduced accuracy in complex structural areas.To address this challenge,we propose a multi-scale integrated fracture prediction method based on an improved deep embedded clustering(DEC)framework,using the marine shale reservoir of the Wufeng–Longmaxi Formation in southeastern Sichuan Basin as a case study.Specifically,(1)an improved DEC objective function integrating fracture topology constraints and cluster-balancing mechanisms is developed to enhance the model’s adaptability to complex geological structures;(2)an“expand–then–contract”stacked autoencoder architecture is designed to better capture nonlinear relationships among multi-attribute data and decouple multi-scale fracture features;and(3)an integrated workfl ow from multi-attribute optimization,intelligent fusion clustering to geological interpretation is established,enabling diff erentiated and high-precision characterization of multi-scale fractures.Furthermore,based on the geological characteristics of the study area,we systematically analyze the spatial mapping relationships of the autoencoder’s multi-layer features and elucidate their implicit geophysical signifi cance.This analysis reveals the intrinsic processes through which the proposed model performs fracture attribute optimization,noise separation,and multi-scale feature extraction.Finally,by integrating intelligent fault identifi cation,micro-fracture amplitude variation with azimuth(AVAZ)inversion,and conventional geometric attributes,high-precision spatial characterization of the fracture system is achieved,spanning from large-scale faults to micro-fractures.The prediction results show strong agreement with geological understanding. 展开更多
关键词 Multi-scale fractures Deep embedded clustering Deep learning Autoencoding Marine shale
暂未订购 下载PDF
Fabricating engineered tissues with spatially varied microenvironments via embedded 3D printing in a cell-dense suspension 认领 引用
3
作者 Min Ye Jie Gao +9 位作者 Zhiyuan Zheng Di Xin Zhe Zhang Shilu Zhu Qingdong Zhang Yang Zhang Liang Xu Shuwei Shen Mingzhai Sun Ronald X Xu 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第3期595-615,共21页
The long-term goal of bioengineered tissues is to achieve precise cell type distribution,physiological cell density,perfusable vascular channels,and mature functionality.However,fabricating engineered tissue with the ... The long-term goal of bioengineered tissues is to achieve precise cell type distribution,physiological cell density,perfusable vascular channels,and mature functionality.However,fabricating engineered tissue with the microenvironmental features of organs with physiological cell density remains a significant challenge in this field.To address this,several key obstacles must be overcome.First,vascularization is indispensable for engineered tissues;however,disturbances may occur when introducing vascular channels within pre-fabricated tissues.Second,maintaining fabrication precision becomes increasingly difficult during high-cell-density embedded printing.Third,the suspension bath used for embedded printing often fails to provide a suitable growth environment.Herein,we modified the rheological properties of the bioactive hydrogel by incorporating a thixotropic laponite nanoclay(LPN)and demonstrated that an optimized ratio of collagen methacrylate(ColMA)to LPN forms a self-healing suspension bath,which is enhanced by hydrogen bonding interactions and is capable of in situ crosslinking.This printing strategy was generalized as the embedded 3D printing in cell-dense suspension(EPICS).The self-healing properties of the EPICS remain unaffected even when encapsulating a near-physiological cell density of 108 cells·mL-1,and it provides precise control of the printing resolution from 1 mm to 100μm.Compared with the model containing 106 cells·mL-1,the use of EPICS could create a robust hepatic model with mature liver markers and reduced apoptosis gene expression.Moreover,EPICS can efficiently fabricate spatially controlled perfusable channels,thereby mimicking the spatially varied microenvironments of hepatocellular carcinoma,highlighting its broad applications in therapeutics involving tissue and organ constructs. 展开更多
关键词 embedded 3D printing cell-dense suspension spatially varied microenvironments tissue and organ constructs
暂未订购 下载PDF
Optimum Operation of Low-Voltage AC/DC Distribution Areas with Embedded DC Interconnections under Three-Phase Unbalanced Compensation Conditions 认领 引用
4
作者 Zhukui Tan Dacheng Zhou +4 位作者 Song Deng Jikai Li Zhuang Wu Qihui Feng Xuan Zhang 《Energy Engineering》 EI 2026年第3期81-95,共15页
This paper presents an optimal operation method for embedded DC interconnections based on low-voltage AC/DC distribution areas(EDC-LVDA)under three-phase unbalanced compensation conditions.It can optimally determine t... This paper presents an optimal operation method for embedded DC interconnections based on low-voltage AC/DC distribution areas(EDC-LVDA)under three-phase unbalanced compensation conditions.It can optimally determine the transmission power of the DC and AC paths to simultaneously improve voltage quality and reduce losses.First,considering the embedded interconnected,unbalanced power structure of the distribution area,a power flow calculation method for EDC-LVDA that accounts for three-phase unbalanced compensation is introduced.This method accurately describes the power flow distribution characteristics under both AC and DC power allocation scenarios.Second,an optimization scheduling model for EDC-LVDA under three-phase unbalanced conditions is developed,incorporating network losses,voltage quality,DC link losses,and unbalance levels.The proposed model employs an improved particle swarm optimization(IPSO)two-layer algorithm to autonomously select different power allocation coefficients for the DC link and AC section under various operating conditions.This enables embedded economic optimization scheduling while maintaining compensation for unbalanced conditions.Finally,a case study based on the IEEE 13-node system for EDC-LVDA is conducted and tested.The results show that the proposed optimal operation method achieves a 100%voltage compliance rate and reduces network losses by 13.8%,while ensuring three-phase power balance compensation.This provides a practical solution for the modernization and upgrading of low-voltage power grids. 展开更多
关键词 Power loss optimization low-voltage AC/DC distribution areas embedded DC interconnections
暂未订购 下载PDF
EDESC-IDS:An Efficient Deep Embedded Subspace Clustering-Based Intrusion Detection System for the Internet of Vehicles 认领 引用
5
作者 Lixing Tan Liusiyu Chen +2 位作者 Yang Wang Zhenyu Song Zenan Lu 《Computers, Materials & Continua》 SCIE EI 2026年第5期997-1020,共24页
Anomaly detection is a vibrant research direction in controller area networks,which provides the fundamental real-time data transmission underpinning in-vehicle data interaction for the internet of vehicles.However,ex... Anomaly detection is a vibrant research direction in controller area networks,which provides the fundamental real-time data transmission underpinning in-vehicle data interaction for the internet of vehicles.However,existing unsupervised learning methods suffer from insufficient temporal and spatial constraints on shallow features,resulting in fragmented feature representations that compromise model stability and accuracy.To improve the extraction of valuable features,this paper investigates the influence of clustering constraints on shallow feature convergence paths at the model level and further proposes an end-to-end intrusion detection system based on efficient deep embedded subspace clustering(EDESC-IDS).Following the standard learning approach,continuous messages are encoded into two-dimensional data frames via a frame builder,which are then input into an extended convolutional autoencoder for extracting shallow features from high-dimensional data.On this basis,the dual constraints of these output features and the embedding clustering module facilitate end-to-end training of the EDESC-IDS in various attack scenarios.Extensive experimental results show that such a system exhibits significant detection performance on four types of attack datasets,including DoS,Gear,Fuzzy,and RPM,with precision,recall,and F1 scores consistently above 97.79%,while maintaining a false negative rate(FNR)and an error rate(ER)below 2.22%. 展开更多
关键词 Internet of vehicles control area network anomaly detection unsupervised learning deep embedded subspace clustering extended convolutional autoencoder
暂未订购 下载PDF
Bismaleimide Dielectric Films with Superior High-temperature Breakdown Strength via a Rationally Designed Crosslinked Network for Embedded Film Capacitors 认领 引用
6
作者 Li-Na Huang Li Tan +8 位作者 Shuang-Wu Huang Gu-Qiao Ding Qi-Yan Zhang Meng-Qi Ge Xin-Wei Chen Liang Wu Xiang-Yi Wang Ning Ren Xin-Yuan Zhu 《Chinese Journal of Polymer Science》 SCIE EI CAS CSCD 2026年第8期2561-2569,I0012,共9页
The growing demand for higher operating frequencies,faster speeds,and greater power density in modern electronics has positioned embedded dielectric film capacitors as a key enabler of system miniaturization and enhan... The growing demand for higher operating frequencies,faster speeds,and greater power density in modern electronics has positioned embedded dielectric film capacitors as a key enabler of system miniaturization and enhanced reliability.However,such integration requires dielectric materials that exhibit both high intrinsic breakdown strength and superior high-temperature stability,a combination which is seldom achieved by conventional polymer dielectrics.In this work,we present a rationally designed rigid-flexible crosslinked network based on bismaleimide(BMI)that delivers robust performance under extreme electrical and thermal conditions.By co-curing a biphenyl epoxy(BPEP)resin with a 2,2-bis[4-(4-maleimidophenoxy)phenyl]propane(BMP)-based BMI matrix,a densely co-crosslinked network is formed.In this network,BPEP acts as a toughening agent that mitigates internal stress and inhibits micro-crack initiation,while its rigid biphenyl motifs cooperate with BMP to establish deeper charge traps,thereby effectively suppressing charge carrier excitation and transport.These synergistic mechanisms enable the optimized co-cured BMP/10%BPEP film to achieve a leakage current more than ten times lower than that of pristine BMP at 200℃,along with a remarkable increase in breakdown strength from 509MV/m to 615MV/m and a rise in dielectric constant from 3.45 to 3.71.Consequently,the film exhibits an outstanding discharge energy density of 4.59J/cm3 with 90%efficiency at 200℃,as well as excellent cycling stability over 50000 charge-discharge cycles.This study offers a feasible material design strategy for high-performance polymer dielectrics suitable for embedded capacitors in advanced electronic packaging. 展开更多
关键词 Embedded capacitors Breakdown strength High-temperature Dielectric Energy density
暂未订购 下载PDF
Design and calibration of spherical particles with embedded inertial measurement unit:preserving kinematic equivalence 认领 引用
7
作者 Jiajun Jiao Yunhui Sun +2 位作者 Yi An Qingquan Liu Xiaoliang Wang 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第4期625-638,共14页
This study presents the design,verification,and calibration of a spherical inertial sensor particle engineered to achieve kinematic equivalence with a solid sphere.Utilizing micro-electro-mechanical systems inertial m... This study presents the design,verification,and calibration of a spherical inertial sensor particle engineered to achieve kinematic equivalence with a solid sphere.Utilizing micro-electro-mechanical systems inertial measurement unit technology,this 40 mm particle is capable of measuring triaxial acceleration up to±16g(g=9.81 m/s2)and triaxial angular velocity up to±2000°/s,with a high sampling rate of 1000 Hz sustained over one hour.The sensor particle features a dual-layered spherical structure designed to ensure equivalence in shape,density,center of mass,moment of inertia,and elastic modulus compared to a solid sphere.The performance of the sphere is calibrated and verified with a series of physical experiments.The experiment of the sphere freely sinking in still water confirmed the accuracy of the data measured by the sensor particle and its equivalence to a solid aluminum sphere.This study provides a more representative tool for measuring particle motion information in homogeneous dense granular experiments. 展开更多
关键词 Sensor embedded particle Spherical particle Kinematic equivalence MEMS-IMU Particle motion measurement
暂未订购 下载PDF
Stress evolution characteristics of packaging structures with embedded piezoresistive sensors under thermal cycling loads 认领 引用
8
作者 Wenqing Chen Yuexing Wang +4 位作者 Linwei Cao Xu He Xiangyu Sun Jichao Qiao Quanfeng Zhou 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第3期246-257,共12页
The miniaturization of electronic components and the increasing density of solder joint arrays have made the reliability testing and simulation optimization of packaging devices increasingly challenging.Effectively ca... The miniaturization of electronic components and the increasing density of solder joint arrays have made the reliability testing and simulation optimization of packaging devices increasingly challenging.Effectively capturing the stress within packaging structures has become a critical issue that needs to be addressed in the field of advanced packaging.This research focuses on wafer-level chip packaging structures,exploring the internal stress evolution under thermal cycling loads and proposing a methodology that integrates experimental and simulation approaches based on embedded silicon-based piezoresistive sensors.By leveraging these sensors for the first time,real-time monitoring of stress variations across different regions of power modules was achieved,offering precise characterization of cumulative stress behavior during thermal cycling.The results indicate that the gradual accumulation of internal stress is predominantly driven by the inherent plastic deformation and creep properties of solder materials under cyclic thermal conditions.Based on this,a unified creep-plasticity constitutive model coupled with damage was developed and compiled into a UMAT subroutine,which was then incorporated into finite element software for simulation.The simulation results closely matched the experimental data,successfully replicating the stress evolution pattern during thermal cycling.This study not only elucidates the underlying mechanisms of stress evolution in advanced packaging structures but also validates the feasibility of using embedded sensor technology and enhanced simulation models to tackle the challenge of stress measurement,providing a novel approach and technical pathway for the reliability design and optimization of packaging structures. 展开更多
关键词 Embedded stress sensors Stress accumulation Unified creep plastic constitutive model Thermal cycling test
暂未订购 下载PDF
Dragonfang:An Open-Source Embedded Flight Controller with IMU-Based Stabilization for Quadcopter Applications 认领 引用
9
作者 Cosmin Dumitru Emanuel Pantelimon +1 位作者 Alexandru Guzu Georgian Nicolae 《Computers, Materials & Continua》 SCIE EI 2026年第4期452-470,共19页
Unmanned aerial vehicles(UAVs),especially quadcopters,have become indispensable in numerous industrial and scientific applications due to their flexibility,lowcost,and capability to operate in dynamic environments.Thi... Unmanned aerial vehicles(UAVs),especially quadcopters,have become indispensable in numerous industrial and scientific applications due to their flexibility,lowcost,and capability to operate in dynamic environments.This paper presents a complete design and implementation of a compact autonomous quadcopter capable of trajectory tracking,object detection,precision landing,and real-time telemetry via long-range communication protocols.The system integrates an onboard flight controller running real-time sensor fusion algorithms,a vision-based detection system on a companion single-board computer,and a telemetry unit using Long Range(LoRa)communication.Extensive flight tests were conducted to validate the system’s stability,communication range,and autonomous capabilities.Potential applications in law enforcement,agriculture,search and rescue,and environmental monitoring are also discussed. 展开更多
关键词 Quadcopter UAV autonomous navigation visual detection sensor fusion telemetry LoRa embedded systems
暂未订购 下载PDF
Synergistic performance and yield improvement of embedded RRAM product through process optimization in 40 nm CMOS platform 认领 引用
10
作者 Zhenchao Sui Yanqing Wu +1 位作者 Zhichao Lv Xing Zhang 《Journal of Semiconductors》 EI CAS CSCD 2026年第3期65-71,共7页
To address the challenges of complexity,power consumption,and cost constraints in traditional display driver integrated circuits(DDICs)caused by external NOR Flash and SRAM,this work proposes an embedded resistive ran... To address the challenges of complexity,power consumption,and cost constraints in traditional display driver integrated circuits(DDICs)caused by external NOR Flash and SRAM,this work proposes an embedded resistive random-access memory(RRAM)integration solution based on a 40 nm high-voltage CMOS logic platform.Targeting the yield fluctuations and stability challenges during RRAM mass production,systematic process optimizations are implemented to achieve synergistic improvements in RRAM performance and yield.Through modifications to the film sputtering and pre-deposition treatment,the withinwafer resistance uniformity(RSU)of the oxygen-deficient layer(ODL)thin film is improved from 11%to 8%,while inter-wafer process stability variation reduces from 23%to below 6%.Consequently,the yield of 8 Mb RRAM embedded mass production products increases from 87%to 98.5%.In terms of device performance,the RRAM demonstrates a fast 4.8 ns read speed,exceptional read disturb immunity of 3×108 cycles at 95℃,103 write/erase endurance cycles for the 1 Mb cells,and data retention of 12.5 years at 125℃.Post high-temperature operating life(HTOL)testing exhibits stable high/low resistance window.This study provides process optimization strategies and a reliability assurance framework for the mass production of highly integrated,low-power embedded RRAM display driver IC. 展开更多
关键词 embedded RRAM 40 nm CMOS display driver IC process uniformity optimization yield improvement
暂未订购 下载PDF
Bayesian optimization-enabled efficient embedded ink writing of human tissue analogs 认领 引用
11
作者 Shanti Quinto Haoran Cui +8 位作者 Lily Raymond Eric Shen Hopson Tan Liam Bond Yue Yuan Bin Duan Yan Wang Guangrui Chai Yifei Jin 《Bio-Design and Manufacturing》 SCIE EI CAS CSCD 2026年第4期782-795,I0004,共14页
Embedded ink writing has been extensively applied in recent years for various biomedical applications.Despite its outstanding ability to create complex structures,the challenge of optimizing multiple factors has hampe... Embedded ink writing has been extensively applied in recent years for various biomedical applications.Despite its outstanding ability to create complex structures,the challenge of optimizing multiple factors has hampered further utilization of this three-dimensional bioprinting strategy.In this work,we experimentally summarized the coupling effects of ink viscosity,support bath rheological properties,and key printing parameters on filament formation.Based on the gathered data,Bayesian optimization is used to establish a filament prediction platform,which can accurately estimate the rheology of support baths for printing alginate-based ink under the given conditions.Additionally,the platform is used to predict the optimal paramet ers for printing with chitosan ink.Two representative eye-relevant tissues are successfully fabricated using the predictions of the platform.The insights from this study lay the foundation for embedded ink writing strategies that can guide support bath design and identify optimal printing parameters,aiding efficient reconstruction of human tissues and organs in the future. 展开更多
关键词 Bayesian optimization Embedded ink writing Support bath design Three-dimensional(3 D)printing parameter prediction Biomedical applications
暂未订购 下载PDF
Coupled effects of fracture spatial distribution and rock matrix permeability on tunnel water inflow:An embedded discrete fracture model based investigation 认领 引用
12
作者 Yu ZHANG Xiaojun LI +2 位作者 Tao LI Hehua ZHU Yi RUI 《ENGINEERING Structure and Civil Engineering》 SCIE EI CAS CSCD 2026年第2期380-403,共24页
Groundwater inflow constitutes a critical challenge in rock tunnel engineering.This study systematically investigates the coupled effects of fracture spatial distribution and rock matrix permeability on tunnel water i... Groundwater inflow constitutes a critical challenge in rock tunnel engineering.This study systematically investigates the coupled effects of fracture spatial distribution and rock matrix permeability on tunnel water inflow using a novel embedded discrete fracture model based method.A set of quadratic regression models is established to delineate the relationship between inflow rate and fracture distribution parameters over a wide range of fracture-to-matrix permeability ratios(kf/km).Results demonstrate that fracture aperture,spacing,and their interaction dominate the inflow across all permeability ratios.Analysis of variance further reveals a threshold-dependent behavior:coupled effects are significant below a critical kf/km value but decay markedly above it.This threshold decreases with larger aperture and increases with wider spacing,yet remains nearly independent of fracture dip angle.Moreover,when kf/km is below the threshold,aperture and spacing exert greater influence on tunnel inflow at lower permeability ratios,while kf/km gains influence under larger apertures and smaller spacings.Finally,a case study of Nanwan Tunnel shows that matrix permeability plays a dual role—increasing the mean inflow rate while reducing uncertainty from stochastic fracture distribution. 展开更多
关键词 tunnel water inflow fractured rock tunnel fracture spatial distribution rock matrix permeability embedded discrete fracture model fracture-to-matrix permeability ratio
暂未订购 下载PDF
Design and Implementation of an Embedded Multi-Channel Data Acquisition System for Voltage,Current,Temperature,and Humidity Monitoring 认领 引用
13
作者 Fangyuan Huang Tianhu Wang +3 位作者 Jungang Wang Huijun Xia Yihan Liu Tailiang Yu 《Instrumentation》 2026年第2期96-108,共13页
To address the issue of insufficient channel capacity in single-signal acquisition systems at industrial sites,this paper designs a multi-channel data acquisition system based on embedded chips.The system adopts an ar... To address the issue of insufficient channel capacity in single-signal acquisition systems at industrial sites,this paper designs a multi-channel data acquisition system based on embedded chips.The system adopts an architecture comprising an embedded controller and a host computer:the embedded controller handles signal conditioning,analog-to-digital conversion,filtering,and data transmission for multiple channels;while the host-computer software provides functions such as user login,data reception,real-time display,and storage.The modular architecture supports the conditioning and acquisition of voltage,current,temperature,and humidity signals.Test results showed that the relative errors of the voltage and current channels were below 1%,and that the system could acquire,transmit,display,and store the measured data. 展开更多
关键词 data acquisition multi-channel embedded systems STM32 host-computer design
暂未订购 下载PDF
Boosting methanol steam reforming performance via crystal-phase-driven strong metal-support interactions:From encapsulated Pt nanoparticles to deeply embedded PtOx-induced Pt single atoms 认领 引用
14
作者 Zheng Wei Shengfang Shi +4 位作者 Fei Dong Hekun Jia Zhiling Chen Hongqi Wang Bifeng Yin 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第5期262-278,I0007,共17页
Traditional strong metal-support interactions(SMSIs)induced by encapsulated reducible oxide overlayers on metal nanoparticles can suppress sintering but has a strong negative impact on the catalytic activity because o... Traditional strong metal-support interactions(SMSIs)induced by encapsulated reducible oxide overlayers on metal nanoparticles can suppress sintering but has a strong negative impact on the catalytic activity because of decreased availability of active sites.Herein,we design three SMSIs configurations on Pt-TiO2via crystal-phase engineering.These configurations comprised encapsulated Pt nanoparticle(NPs)with TiO2-xoverlayer on anatase,weakly embedded Pt clusters on P25,and deeply embedded Pt Ox-induced Pt single-atom(SA)structure on rutile.These configurations exhibited Pt species at multiple scales,ranging from NPs to SAs.Among them,Pt supported rutile TiO2sample(Pt-TiO2(R)-H)achieved extremely low CO selectivity(2.05%,200℃)and optimal H2production performance due to the enhanced SMSIs from Pt-Ti coordination in the deeply embedded Pt Oxregion.This Pt-Ti coordination facilitated the electron transfer from Pt to Ti and induced dual-function centers of electron-deficient Ptδ+-Pt2+pairs(0<δ<2,where Ptδ+represent Pt SAs)for methanol decomposition and electron-rich Ti3+-oxygen vacancies for water dissociation.Such unique configuration altered the MSR reaction pathway and the kinetic rates of each elementary step in these reaction pathways were systematically analyzed.This work proposes an SMSIs configuration induced by a deeply embedded structure,which mitigates the negative impact on catalytic activity from encapsulated overlayers,meanwhile providing a strategy for developing high-loading Pt SAs catalysts. 展开更多
关键词 Hydrogen production Strong metal-support interactions Encapsulated TiO2-xoverlayer Embedded PtOx-induced Pt single atoms Interface-type Ti3+-OVs Modified*CO reaction pathway
暂未订购 下载PDF
Embedded Correction in EFL Teachers’ Feedback 认领 引用
15
作者 ZHU Hongmei 《US-China Education Review(A)》 2026年第4期217-224,共8页
Correction is an unavoidable action in classroom interaction. While explicit correction strategies have been extensively researched, implicit correction approaches have been less explored. This paper employs Conversat... Correction is an unavoidable action in classroom interaction. While explicit correction strategies have been extensively researched, implicit correction approaches have been less explored. This paper employs Conversation Analysis method to examine embedded correction, one form of implicit correction, observed in Chinese EFL (English as a Foreign Language) high school classrooms. Our data aim to examine its sequential environment and action trajectory. It’s found that embedded corrections occur within fluency and meaning contexts and textual contexts, mostly following a student’s response to a teacher’s initiating question. Its action trajectory often shows students make the errors, and teachers correct them in the second turns or in the following turns. However, the students have a few opportunities to display the corrected issues. The findings contribute to EFL teacher education and classroom practice by illuminating effective implicit correction strategies. 展开更多
关键词 embedded correction context feedback
暂未订购 下载PDF
Perspective on the operando battery monitoring of multi-parameter by embedded optical fiber sensors 认领 引用 被引量：3
16
作者 Jun Guo Pengcheng Liu +11 位作者 Fu Xue Jie Zeng Xinyue Mu Feier Wang Zhihan Kong Dingwei Ji Heng Zhou Longbiao Yu Qi Wu Kang Yan Jing Wang Kongjun Zhu 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2025年第11期899-919,I0020,共21页
Battery safety has emerged as a critical challenge for achieving carbon neutrality,driven by the increasing frequency of thermal runaway incidents in electric vehicles(EVs)and stationary energy storage systems(ESSs).C... Battery safety has emerged as a critical challenge for achieving carbon neutrality,driven by the increasing frequency of thermal runaway incidents in electric vehicles(EVs)and stationary energy storage systems(ESSs).Conventional battery monitoring technologies struggle to track multiple physicochemical parameters in real time,hindering early hazard detection.Embedded optical fiber sensors have gained prominence as a transformative solution for next-generation smart battery sensing,owing to their micrometer size,multiplexing capability,and electromagnetic immunity.However,comprehensive reviews focusing on their advancements in operando multi-parameter monitoring remain scarce,despite their critical importance for ensuring battery safety.To address this gap,this review first introduces a classification and the fundamental principles of advanced battery-oriented optical fiber sensors.Subsequently,it summarizes recent developments in single-parameter battery monitoring using optical fiber sensors.Building on this foundation,this review presents the first comprehensive analysis of multifunctional optical fiber sensing platforms capable of simultaneously tracking temperature,strain,pressure,refractive index,and monitoring battery aging.Targeted strategies are proposed to facilitate the practical development of this technology,including optimization of sensor integration techniques,minimizing sensor invasiveness,resolving the cross-sensitivity of fiber Bragg grating(FBG)through structural innovation,enhancing techno-economics,and combining with artificial intelligence(AI).By aligning academic research with industry requirements,this review provides a methodological roadmap for developing robust optical sensing systems to ensure battery safety in decarbonization-driven applications. 展开更多
关键词 Battery safety Multi-parameter monitoring Embedded optical fiber sensors Operando sensing
暂未订购 下载PDF
Embedded solar adaptive optics telescope:achieving compact integration for high-efficiency solar observations 认领 引用 被引量：4
17
作者 Naiting Gu Hao Chen +11 位作者 Ao Tang Xinlong Fan Carlos Quintero Noda Yawei Xiao Libo Zhong Xiaosong Wu Zhenyu Zhang Yanrong Yang Zao Yi Xiaohu Wu Linhai Huang Changhui Rao 《Opto-Electronic Advances》 SCIE EI CAS CSCD 2025年第5期60-74,共15页
Adaptive optics(AO)has significantly advanced high-resolution solar observations by mitigating atmospheric turbulence.However,traditional post-focal AO systems suffer from external configurations that introduce excess... Adaptive optics(AO)has significantly advanced high-resolution solar observations by mitigating atmospheric turbulence.However,traditional post-focal AO systems suffer from external configurations that introduce excessive optical surfaces,reduced light throughput,and instrumental polarization.To address these limitations,we propose an embedded solar adaptive optics telescope(ESAOT)that intrinsically incorporates the solar AO(SAO)subsystem within the telescope's optical train,featuring a co-designed correction chain with a single Hartmann-Shack full-wavefront sensor(HS f-WFS)and a deformable secondary mirror(DSM).The HS f-WFS uses temporal-spatial hybrid sampling technique to simultane-ously resolve tip-tilt and high-order aberrations,while the DSM performs real-time compensation through adaptive modal optimization.This unified architecture achieves symmetrical polarization suppression and high system throughput by min-imizing optical surfaces.A 600 mm ESAOT prototype incorporating a 12×12 micro-lens array HS f-WFS and 61-actuator piezoelectric DSM has been developed and successfully conducted on-sky photospheric observations.Validations in-cluding turbulence simulations,optical bench testing,and practical observations at the Lijiang observatory collectively confirm the system's capability to maintain aboutλ/10 wavefront error during active region tracking.This architectural breakthrough of the ESAOT addresses long-standing SAO integration challenges in solar astronomy and provides scala-bility analyses confirming direct applicability to the existing and future large solar observation facilities. 展开更多
关键词 embedded solar adaptive optics telescope(ESAOT) Hartmann-Shack full-wavefront sensor(HS f-WFS) deformable secondary mirror(DSM) high-resolution solar observations solar telescopes
暂未订购 下载PDF
Plastic flow and interfacial bonding behaviors of embedded linear friction welding process:Numerical simulation combined with thermophysical experiment 认领 引用 被引量：1
18
作者 Tiejun MA Zhenguo GUO +6 位作者 Xiawei YANG Junlong JIN Xi CHEN Jun TAO Wenya LI Achilles VAIRIS Liukuan YU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第1期87-98,共12页
In this study,a new linear friction welding(LFW)process,embedded LFW process,was put forward,which was mainly applied to combination manufacturing of long or overlong loadcarrying titanium alloy structural components ... In this study,a new linear friction welding(LFW)process,embedded LFW process,was put forward,which was mainly applied to combination manufacturing of long or overlong loadcarrying titanium alloy structural components in aircraft.The interfacial plastic flow behavior and bonding mechanism of this process were investigated by a developed coupling EulerianLagrangian numerical model using software ABAQUS and a novel thermo-physical simulation method with designed embedded hot compression specimen.In addition,the formation mechanism and control method of welding defects caused by uneven plastic flow were discussed.The results reveal that the plastic flow along oscillating direction of this process is even and sufficient.In the direction perpendicular to oscillation,thermo-plastic metals mainly flow downward along welding interface under coupling of shear stress and interfacial pressure,resulting in the interfacial plastic zone shown as an inverted“V”shape.The upward plastic flow in this direction is relatively weak,and only a small amount of flash is extruded from top of joint.Moreover,the wedge block and welding components at top of joint are always in un-steady friction stage,leading to nonuniform temperature field distribution and un-welded defects.According to the results of numerical simulation,high oscillating frequency combined with low pressure and small amplitude is considered as appropriate parameter selection scheme to improve the upward interfacial plastic flow at top of joint and suppress the un-welded defects.The results of thermo-physical simulation illustrate that continuous dynamic recrystallization(CDRX)induces the bonding of interface,accompanying by intense dislocation movement and creation of many low-angle grain boundaries.In the interfacial bonding area,grain orientation is random with relatively low texture density(5.0 mud)owing to CDRX. 展开更多
关键词 Embedded linear friction welding Plastic flow Interfacial bonding behavior Numerical simulation Thermo-physical simulation Temperature field Dynamic recrystallization
暂未订购 下载PDF
Research on edge defects suppression of Mg/Al composite plate rolling:Development of embedded rolling technology 认领 引用
19
作者 Chenchen Zhao Zhiquan Huang +3 位作者 Haoran Zhang Peng Li Tao Wang Qingxue Huang 《Journal of Magnesium and Alloys》 SCIE EI CAS CSCD 2025年第8期3751-3767,共17页
Edge defects significantly impact the forming quality of Mg/Al composite plates during the rolling process.This study aims to develop an effective rolling technique to suppress these defects.First,an enhanced Lemaitre... Edge defects significantly impact the forming quality of Mg/Al composite plates during the rolling process.This study aims to develop an effective rolling technique to suppress these defects.First,an enhanced Lemaitre damage model with a generalized stress state damage prediction mechanism was used to evaluate the key mechanical factors contributing to defect formation.Based on this evaluation,an embedded composite rolling technique was proposed.Subsequently,comparative validation was conducted at 350℃ with a 50% reduction ratio.Results showed that the plates rolled using the embedded composite rolling technique had smooth surfaces and edges,with no macroscopic cracks observed.Numerical simulation indicated that,compared to conventional processes,the proposed technique reduced the maximum edge stress triaxiality of the plates from-0.02 to-1.56,significantly enhancing the triaxial compressive stress effect at the edges,which suppressed void nucleation and growth,leading to a 96%reduction in damage values.Mechanical property evaluations demonstrated that,compared to the conventional rolling process,the proposed technique improved edge bonding strength and tensile strength by approximately 67.7%and 118%,respectively.Further microstructural characterization revealed that the proposed technique,influenced by the restriction of deformation along the transverse direction(TD),weakened the plastic flow in the TD and enhanced plastic flow along the rolling direction(RD),resulting in higher grain boundary density and stronger basal texture.This,in turn,improved the toughness and transverse homogeneity of the plates.In summary,the embedded composite rolling technique provides crucial technical guidance for the preparation of Mg-based composite plates. 展开更多
关键词 Numerical simulation Damage model Stress triaxiality Mg/Al composite plate Embedded composite rolling
暂未订购 下载PDF
PLayer: a plug-and-play embedded neural system to boost neural organoid 3D reconstruction 认领 引用
20
作者 Yuanzheng Ma Davit Khutsishvili +7 位作者 Zihan Zang Wei Yue Zhen Guo Tao Feng Zitian Wang Liwei Lin Shaohua Ma Xun Guan 《Advanced Photonics Nexus》 CSCD 2025年第3期79-91,共13页
Neural organoids and confocal microscopy have the potential to play an important role in microconnectome research to understand neural patterns.We present PLayer,a plug-and-play embedded neural system,which demonstrat... Neural organoids and confocal microscopy have the potential to play an important role in microconnectome research to understand neural patterns.We present PLayer,a plug-and-play embedded neural system,which demonstrates the utilization of sparse confocal microscopy layers to interpolate continuous axial resolution.With an embedded system focused on neural network pruning,image scaling,and post-processing,PLayer achieves high-performance metrics with an average structural similarity index of 0.9217 and a peak signal-to-noise ratio of 27.75 dB,all within 20 s.This represents a significant time saving of 85.71%with simplified image processing.By harnessing statistical map estimation in interpolation and incorporating the Vision Transformer–based Restorer,PLayer ensures 2D layer consistency while mitigating heavy computational dependence.As such,PLayer can reconstruct 3D neural organoid confocal data continuously under limited computational power for the wide acceptance of fundamental connectomics and pattern-related research with embedded devices. 展开更多
关键词 neural connectivity 3D reconstruction deep learning organoids confocal microscopy embedded neural network
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 250 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈