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Material Compression Tests on Rigid Insulation Tiles at Elevated Temperatures with Digital Image Correlation 认领 引用 被引量：1
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作者 Datao Li Xiahui Wei +3 位作者 Yingrong Gao Jinsong Jiang Binhua Wang Wei Xia 《Acta Mechanica Solida Sinica》 SCIE EI CSCD 2026年第6期782-790,共9页
The mechanical properties of rigid insulation tile(RIT)materials at elevated temperatures(700~1000℃)were studied through compression tests and the digital image correlation(DIC)method.To reduce measurement error in a... The mechanical properties of rigid insulation tile(RIT)materials at elevated temperatures(700~1000℃)were studied through compression tests and the digital image correlation(DIC)method.To reduce measurement error in a thermal environment,an image gradient zero-mean normalized cross-correlation algorithm(ZNCCGI)was added to the DIC algorithm.The DIC algorithm was verified via RIT material mechanical tests at room temperature.Furthermore,the compressive stress–strain curves and Young's modulus of RIT materials at elevated temperatures were obtained.The experimental results show that the Young's modulus of RIT materials significantly increased at 800℃.Moreover,the compressive yield strength was significantly improved at 800℃,which resulted in a random distribution of ceramic fibers and viscous flow deformation at elevated temperatures.Scanning electron microscope analysis demonstrated that the compressive damage occurs due to the breaking of ceramic fibers. 展开更多
关键词 Rigid insulation tile(RIT) Digital image correlation(DIC) Elevated temperature Compressive yield strength Young's modulus
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Quantitative Defect-Property Correlations in Ti3C2Tx MXenes via Precursor‑Controlled Defect Engineering 认领 引用
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作者 Tufail Hassan Doyeon Lee +13 位作者 Shabbir Madad Naqvi Myungjae Kim Jung‑Min Oh Sang Woon Park Aamir Iqbal Soo Yeong Cho Zhiwang Hao Noushad Hussain Zubair Khalid Shakir Zaman Xiangmeng Kong Ki‑Min Roh Hanjung Kwon Chong Min Koo 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第8期235-251,共17页
Defect engineering holds great promise for tailoring the multifunctional properties of MXenes.However,quantitative correlations between defect and material performance remain largely unexplored due to the lack of a re... Defect engineering holds great promise for tailoring the multifunctional properties of MXenes.However,quantitative correlations between defect and material performance remain largely unexplored due to the lack of a reliable strategy to precisely control defect densities.Here,we demonstrate that the defect density of Ti3C2Tx MXenes—including titanium and carbon vacancies,substitutional oxygen defects,and the associated lattice strain—is precisely controlled by adjusting carbon stoichiometry during TiC precursor synthesis and aluminum content during Ti3AlC2 MAX formation.The defect densities propagate from precursors to final MXenes,enabling the fabrication of a series of Ti3C2Tx MXenes with systematically controlled defect densities.This allows a quantitative correlation between defect density and multifunctional properties including electrical and thermal conductivities,infrared emissivity,electromagnetic shielding effectiveness,Joule heating performance,and oxidation stability.The defect-minimized Ti3C2Tx MXene exhibits outstanding performance,with an electrical conductivity of 26,000 S cm−1,thermal conductivity of 57 W m−1 K−1,electromagnetic shielding effectiveness of 90.5 dB at 10μm,Joule heating performance of 263℃ at 1.5 V,ultralow infrared emissivity of 0.05,and superior oxidation resistance(activation energy of 72 kJ mol−1).Furthermore,this work establishes a comprehensive quantitative framework linking defect structure to multifunctional performance and stability. 展开更多
关键词 MXenes Defect engineering Vacancies and substitutions defects Defect-property correlation Oxidation resistance
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Correlation structure of a complex system from its subsystems'perspectives 认领 引用
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作者 Sen Li Yan Wang +2 位作者 Haiying Wang Changgui Gu Huijie Yang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第7期914-926,共13页
Detecting the correlation between records is a basic task in data science.Today,researchers try to estimate it from an objective perspective;i.e.,they try to remain outside the investigated system and adopt a set of m... Detecting the correlation between records is a basic task in data science.Today,researchers try to estimate it from an objective perspective;i.e.,they try to remain outside the investigated system and adopt a set of measures representing all the agents precisely and completely.This enables them to answer the questions,‘how often’,‘how many’,or‘what is the relationship between variables’.In reality,the researcher is usually an agent in the investigated system;they themselves design the metrics for the system's state to answer the questions of‘how’and‘why’.In other words,the researcher conducts the investigation from a subjective perspective.Inspired by qualitative research in social science,in this paper we propose a scheme for investigating complex systems from a subjective perspective.Technically,one decomposes the researcher's output time series into intrinsic mode functions that represent their specific features.Projecting all the agents'time series onto the phase space spanned by this set of specific features,one obtains the coordinates of the agents,from which a similarity network is constructed.The properties of this network are then used to produce a portrait of the system's correlation from the researcher's perspective.As typical examples,we investigate three theoretical models,including the Lorenz system,the Rossler system,and their coupled systems.Although Takens's theorem implies that different variables should be equivalent in reconstructing the dynamical behaviors,we find significant differences between them.We also investigate a financial system composed of 22 stock markets,one crude oil market,and one gold market.The similarity networks for markets distributed across the USA,Europe,and China turn out to be largely homogeneous and dominated by star patterns,while those corresponding to markets distributed across Russia,Brazil,India,and South Africa behave inhomogeneously and are dominated by cluster patterns. 展开更多
关键词 correlation structure subsystems’perspective investigation from a subjective perspective
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An extended overlay assessment model with process correlation analysis for sub-100-nm accuracy wafer bonding 认领 引用
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作者 Rui Wang Sen Lu +1 位作者 Kaiming Yang Yu Zhu 《Journal of Semiconductors》 EI CAS CSCD 2026年第5期65-77,共13页
To address the demand for sub-100-nm overlay accuracy in wafer bonding for 3D integration,this study proposes an extended overlay assessment model integrating physical mechanisms and data-driven approaches,along with ... To address the demand for sub-100-nm overlay accuracy in wafer bonding for 3D integration,this study proposes an extended overlay assessment model integrating physical mechanisms and data-driven approaches,along with a correlation analysis methodology with process parameters.Rigid-body models inadequately characterize systematic deformations from crystalline anisotropy and process stresses.To overcome this,we construct an extended overlay model based on Zernike polynomials,incorporating physically meaningful terms for precise description of non-uniform wafer deformation.An innovative Zernike term selection strategy combining physics-guided pre-screening and AIC-optimized stepwise regression resolves overfitting/underfitting,enhancing generalizability and interpretability.Validation using patterned wafer geometry(PWG)data shows the model achieves R2>0.70 for both net bonding deformation and lithography-compensable components,demonstrating excellent deformation decomposition.Correlation analysis of multiple process experiments reveals strong correlations(|r|>0.85)between key process parameters(e.g.,peak bonding head force)and specific Zernike modes,providing evidence for suppressing detrimental deformations via process optimization.This research establishes a complete framework from theory to experimental verification and process traceability,laying a foundation for mechanism diagnosis,predictive compensation,and closed-loop control in high-precision wafer bonding. 展开更多
关键词 wafer bonding overlay assessment anisotropic deformation Zernike polynomials process correlation
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The measurement of the energy correlations between two252Cf prompt fission neutrons 认领 引用
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作者 Huai-Yong Bai Hang Li +8 位作者 Hong-Jun Zhang Cheng-Guo Pang Ming Su Zhong-Hua Xiong Ji Wen Fan Gao Chen-Guang Li Xiao-Dong Wang Li-Sheng Yang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第4期202-215,共14页
The energy correlations of prompt fission neutrons have not yet been considered in the related coincidence and multiplication measurement techniques.To measure and verify the energy correlations,an experiment was perf... The energy correlations of prompt fission neutrons have not yet been considered in the related coincidence and multiplication measurement techniques.To measure and verify the energy correlations,an experiment was performed with a total measurement duration of approximately 1200 h.In the experiment,eight CLYC detectors and sixteen EJ309 liquid scintillation detectors were utilized,and the fission moment was tagged with the measured fissionγ-rays.The relative ratios of the energy spectra of the neutrons correlated with different energy neutrons to the252Cf fission neutron energy spectra were obtained.The present results may be helpful for studying fission physics and nuclear technology applications. 展开更多
关键词 Energy correlations Prompt fission neutrons Energy spectrum Fissionγ-rays
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Rapid inference of nonstationary broadband seismic wavefield based on ground-motion spatial correlation and equivalent group velocity 认领 引用
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作者 Zhang Shiliang Ma Qiang +2 位作者 Wang Jiang Xie Quancai Tao Dongwang 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2026年第2期279-299,共21页
Rapid inference of a seismic wavefield is essential for disaster assessment and emergency rescue.Interpolation methods based on observed strong motion recordings,supported by dense seismic networks,provide a computati... Rapid inference of a seismic wavefield is essential for disaster assessment and emergency rescue.Interpolation methods based on observed strong motion recordings,supported by dense seismic networks,provide a computationally efficient alternative to traditional numerical simulations.However,these purely mathematical approaches fail to account for the physical processes of source rupture and wave propagation,as well as the spatial correlation and nonstationarity of frequency content in ground motion,thereby lacking physical interpretability.This study presents a rapid seismic wavefield inference method that incorporates the spatial correlation and nonstationarity of ground motion.We introduce a spatial correlation factor into the inverse-proportional-weighted interpolation method to infer the ground-motion Fourier amplitude spectra(FAS)at un-instrumented sites,using the FAS of nearby observed recordings.Furthermore,we apply an equivalent group velocity model to derive the ground-motion phase spectra,which are combined with the interpolated FAS to generate nonstationary ground-motion time histories.Verification results from an actual earthquake case indicate that the inferred FAS within the 0.1-25.0 Hz frequency band and ground-motion intensity measures are generally consistent with observed values.This study modestly improves the accuracy of seismic wavefield interpolation and offers a mechanistic basis for conventional mathematical interpolation methods from the perspective of engineering seismology. 展开更多
关键词 earthquake emergency response spatial correlation frequency nonstationarity seismic wavefield interpolation
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Ab initio density functional theory approach to warm dense hydrogen:From density response to electronic correlations 认领 引用 被引量：1
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作者 Zhandos A.Moldabekov Xuecheng Shao +5 位作者 Hannah M.Bellenbaum Cheng Ma Wenhui Mi Sebastian Schwalbe Jan Vorberger Tobias Dornheim 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2026年第2期14-20,共7页
Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse ... Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse of warm dense matter theory is thermal density functional theory(DFT),which,however,suffers from two limitations:(i)its accuracy can depend on the utilized exchange-correlation functional,which has to be approximated,and(ii)it is generally limited to single-electron properties such as the density distribution.Here,we present a new ansatz combining time-dependent DFT results for the dynamic structure factor See(q,ω)with static DFT results for the density response.This allows us to estimate the electron-electron static structure factor See(q)of warm dense hydrogen with high accuracy over a broad range of densities and temperatures.In addition to its value for the study of warm dense matter,our work opens up new avenues for the future study of electronic correlations exclusively within the framework of DFT for a host of applications. 展开更多
关键词 thermal density functional theory dft whichhoweversuffers understanding properties warm dense hydrogen thermal density functional theory understand further optimize inertial confinement fusion applicationsthe warm dense matter theory electronic correlations warm dense hydrogen density functional theory
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Quantitative correlation between solidification front steel speed and solidified shell surface temperature in a slab continuous casting mold 认领 引用
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作者 Wen-Jie Rong Yan Jiang +3 位作者 Xin-Yi Li Zhong-Qiu Liu Bao-Kuan Li Cheng-Jun Liu 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第4期29-42,共14页
The flow of molten steel at the solidification front in a continuous casting mold has a significant impact on slab quality.However,due to the high temperature and opacity of the mold,direct velocity measurements are e... The flow of molten steel at the solidification front in a continuous casting mold has a significant impact on slab quality.However,due to the high temperature and opacity of the mold,direct velocity measurements are extremely challenging.The functional relationship between flow speed at the solidification front and the temperature of the outer surface of the solidified shell is derived heat conduction equations.Subsequently,a coupled flow-heat transfer-solidification model for the mold is developed to numerically determine the flow speed and temperature distribution.Based on thermocouple installation positions and the impingement point location of the molten steel jet on the narrow face of the mold,33 sampling points are selected along both the narrow/wide face centerline and corresponding heights at the solidification front.Finally,the flow speed at the solidification front is fitted as a function of the outer surface temperature of solidified shell and the distance from the meniscus,with detailed analysis of its distribution characteristics. 展开更多
关键词 Continuous casting mold Solidification front steel velocity Solidified shell surface temperature Heat transfer Quantitative correlation
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Octupole correlations of the Kπ=5/2+ground-state band in229Th 认领 引用
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作者 Yuan-Yuan Wang Peng-Wei Zhao 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第2期156-161,共6页
The octupole correlations of the Kπ=5/2+ground state and the rotational spectrum built on it in229Th are studied using the microscopic relativistic density functional theory on a three-dimensional lattice sp... The octupole correlations of the Kπ=5/2+ground state and the rotational spectrum built on it in229Th are studied using the microscopic relativistic density functional theory on a three-dimensional lattice space and the reflection-asymmetric triaxial particle rotor model.It is found that229Th has a ground state with static axial octupole and quadrupole deformations.The occurrence of octupole correlations,driven by the octupole deformation,is analyzed through the evolution of single-particle levels around the Fermi surface.The experimental energy spectrum and the electromagnetic transition probabilities,including B(E2)and B(M1),are reasonably well reproduced. 展开更多
关键词 octupole correlation relativistic density functional theory reflection-asymmetric triaxial particle rotor model rotational spectrum
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Determination of focal depths for the 2024 M 7.3 Hualien offshore and 2025 M 6.2 Tainan earthquakes in Taiwan,China:An enhanced method based on sPn phase and waveform cross-correlation techniques 认领 引用
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作者 Huifang Chen Binhua Lin +2 位作者 Tairan Xu Yanming Zhang Yuanhong Yang 《Earthquake Research Advances》 CAS CSCD 2026年第1期17-24,共8页
This study proposes a method for determining earthquake focal depths by combining the sPn phase with the waveform cross-correlation technique,based on waveform data recorded by the Fujian Seismic Network from the 2024... This study proposes a method for determining earthquake focal depths by combining the sPn phase with the waveform cross-correlation technique,based on waveform data recorded by the Fujian Seismic Network from the 2024 M 7.3 Hualien offshore earthquake and the 2025 M 6.2 Tainan earthquake.The Pn phase onset was precisely aligned using waveform cross-correlation,and the arrival time difference(Δt)between the sPn and Pn phases was extracted via a sliding time-window correlation method.The focal depths were derived using a layered velocity model for the Taiwan region.Results show that the calculated focal depth for the Hualien earthquake is 23.1 km(Δt=6.9 s),with a relative error of 2.7%compared to the official result(22.5 km)from the Central Weather Administration of Taiwan.For the Tainan earthquake,the depth is 17.9 km(Δt=6.1 s),with a relative error of 13.3%.In this study,we show that a cross-correlation threshold of 0.8 and a bandpass filtering of 0.1–0.3 Hz are efficient to suppress noise and significantly improve depth accuracy for shallow earthquakes with depth<30 km.Compared to traditional travel-time location methods,this approach exhibits superior noise resistance and computational efficiency.Future work will focus on optimizing 3D velocity structures,integrating multiple phases,and applying deep learning techniques such as convolutional neural networks,aiming to improve the results in a more reliable and automatic way,and to provide efficient support on earthquake emergency response. 展开更多
关键词 M 7.3 Hualien earthquake M 6.2 Tainan earthquake sPn phase Focal depth Waveform cross-correlation Sliding time-window correlation method
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A Dynamic Correlation-Information-Fusion-Based Spatiotemporal Network for Traffic Flow Forecasting 认领 引用
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作者 Dawen Xia Zhan Lin +4 位作者 Xingyan Wang Ruixi Huang Jinhui Hu Yang Hu Huaqing Li 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2026年第3期859-874,共16页
Traffic Flow Forecasting(TFF)is a foundational task in the development of Intelligent Transport Systems(ITSs).The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal c... Traffic Flow Forecasting(TFF)is a foundational task in the development of Intelligent Transport Systems(ITSs).The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal correlations of the road network,unveiling the long-term evolutionary traffic trends.Furthermore,most existing methods often solely depend on the single traffic condition and neglect the enhancement of correlated features collected from traffic sensors in prediction.To this end,we propose a dynamic correlation-information-fusion-based(DCIF)spatiotemporal network for TFF,which models the spatiotemporal correlations of road networks,thereby effectively capturing dynamically changing characteristics.Specifically,a spatiotemporal feature enhancement(STFE)mechanism is employed to capture the directional and location-aware characteristics of traffic flow,thereby enhancing the representation of traffic flow and the capability of spatiotemporal feature extraction.Then,a gated attention unit(GAU)is constructed to meticulously extract the deep dynamic trends inherent within traffic data.Finally,a dynamic feature matrix(DFM)is formulated,incorporating spatial graph convolution to provide comprehensive semantic contextual information.The DFM captures the dynamic topology of the deeper feature network in real time by fusing spatial node information and traffic speed features as correlation information.Extensive experiments demonstrate that DCIF significantly outperforms other baselines in prediction accuracy,thereby further substantiating its validity and reliability in TFF. 展开更多
关键词 dynamic feature matrix dynamic spatiotemporal correlations gated attention unit multi‐source information fusion spatiotemporal feature enhancement mechanism traffic flow forecasting
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From Shallow to Deep:A Novel Correlation Network Representation Regression Framework for Modeling and Monitoring MIQ-Driven Blast Furnace Ironmaking Processes 认领 引用
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作者 Siwei Lou Chunjie Yang +3 位作者 Zhe Liu Hanwen Zhang Chao Liu Ping Wu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期281-299,共19页
Ironmaking process(IP)is indispensable to modern iron and steel industry,where real-time monitoring is crucial for achieving high molten iron quality(MIQ)with low energy consumption.While neural network-based models s... Ironmaking process(IP)is indispensable to modern iron and steel industry,where real-time monitoring is crucial for achieving high molten iron quality(MIQ)with low energy consumption.While neural network-based models show some promising results,they are generally limited by non-negligible drawbacks such as interpretability issues of feature learning.To address these issues,we propose a novel concept based on the shallow-to-deep correlation network representation regression(Sh-to-De CNRR).Our approach,shallow correlation network representation regression(ShCNRR),combines neural network and canonical correlation analysis thoughts to generate explainable features via shallow correlation network representation(CNR).A twin inverse network is then derived to obtain the explicit model output,leveraging the shallow CNR.To capture deeper nonlinear information,we extend ShCNRR into a hierarchical deep correlation network representation regression(DeCNRR)model that features stacked neural networks,enabling us to learn deeper CNR from process data.The feasibility and advantages of our proposals are validated by theoretical derivations and practical IP cases,which contain one MIQ regression and three MIQ-related fault detection tasks.The results reveal that highly fused statistical and neural network models yield superior monitoring performance compared to current state-of-the-art models,while statistical tests verify the convincing feature mining. 展开更多
关键词 Canonical correlation analysis(CCA) ironmaking process(IP) molten iron quality(MIQ) neural network(NN) process monitoring
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Probing QCD confinement with spin-spin correlation in proton-proton collisions 认领 引用
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作者 Zuo-Tang Liang Qing-Hua Xu Jin-Long Zhang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第5期1-4,共4页
An important feature of quantum chromodynamics(QCD)is that the strong force grows as the distance between partons increases,which confines partons into hadrons,commonly known as QCD confinement.Perturbative QCD(pQCD)d... An important feature of quantum chromodynamics(QCD)is that the strong force grows as the distance between partons increases,which confines partons into hadrons,commonly known as QCD confinement.Perturbative QCD(pQCD)does not work at large distance,such as the length scale of a hadron,which is the regime of non-perturbative QCD.The detailed QCD mechanisms through which confinement occurs from partons to hadrons(usually known as hadronization),and how it manifests itself in partonic structure of hadrons(usually known as parton distribution),remain unresolved puzzles of first-principle QCD calculations. 展开更多
关键词 spin spin correlation quantum chromodynamics qcd partons QCD confinement hadrons non perturbative QCD strong force proton proton collisions
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Revisiting the Brazilian disc test with split Hopkinson pressure bar by high-speed digital image correlation analysis 认领 引用
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作者 Xiaofeng Li Haibo Li Giovanni Grasselli 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第5期3499-3511,共13页
The ISRM-suggested Brazilian disc(BD)test using split Hopkinson pressure bar(SHPB)for dynamic rock tensile strength requires central crack initiation and stress equilibrium.This study aims to re-evaluate the critical ... The ISRM-suggested Brazilian disc(BD)test using split Hopkinson pressure bar(SHPB)for dynamic rock tensile strength requires central crack initiation and stress equilibrium.This study aims to re-evaluate the critical strain rate,ensuring a valid dynamic Brazilian disc test,and to analyse the reliable dynamic tensile behaviour of granite using high-speed digital image correlation(DIC).The comparison between the measured strain obtained through high-speed DIC analysis and the strain gauge allowed for determining the optimal subset parameters used to obtain the real-time deformation field and the stress-strain curve from DIC data.Crack initiation,crack velocity,and failure process are studied to reveal the rate dependence of granites.A unified dynamic increase factor(DIF)model is proposed for the tensile strength of rocks,and the reason for the sudden drop in DIF for high strain rates is discussed.The results reveal that the upper limit of the valid strain rate,which ensures the validity of the ISRM-suggested dynamic BD test,is co-determined by the conditions of stress equilibrium and crack initiation from the centre of the disc.At higher strain rates(75 s⁻¹),BD test results fail to capture the actual tensile behaviour of rocks,and the potential factors influencing the critical valid strain rate(CVSr),such as sample radius and boundary crack length,should also be considered. 展开更多
关键词 High-speed digital image correlation(DIC) Brazilian disc test Critical valid strain rate Rate dependency Granitic rock
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Correlation Enhanced Resistance Hysteresis Near Half Filling in MoS2/WSe2 Heterobilayer 认领 引用
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作者 Yong Chen Weikang Zhang +11 位作者 Meizhen Huang Shengling Xiang Zishu Zhou Yaqi Ma Chenxuan Lou Haoxi Ji Aoqian Zhang Yifei Jin Liheng An Zefei Wu Chun Cheng Ning Wang 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第7期144-149,I0118-I0130,共6页
Ferroelectricity,typically arising from ionic displacements in noncentrosymmetric lattices,enables applications in memory devices and sensors.Recent advances in two-dimensional materials and van der Waals heterostruct... Ferroelectricity,typically arising from ionic displacements in noncentrosymmetric lattices,enables applications in memory devices and sensors.Recent advances in two-dimensional materials and van der Waals heterostructures have revealed novel ferroelectric phenome-na,including sliding ferroelectricity and correlation-driven ferroelectricity in moirésuperlattices.In this work,we fabricate and study a MoS2/WSe2 moirésuperlattice device exhibiting a high field-effect mobility of 17650 cm2·V−1·s−1.Electrical transport measurements reveal correlated insulating states accompanied by a prominent and reproducible resistance hysteresis near half-filling.Temperature and displacement field dependence further confirms the correlation-enhanced nature of the hysteresis.Our analysis suggests that displace-ment field-induced metal-to-insulator transition at correlated insulating state coupled with interfacial dipoles enables the observed resistance hysteresis.These results establish correlation enhanced resistance hysteresis near half-filling in a MoS2/WSe2 heterobilayer,offering opportunities for exploring emergent quantum phases and device functionalities. 展开更多
关键词 moir superlattice device half filling correlation enhanced resistance hysteresis van der waals heterostructures memory devices ferroelectricity ionic displacements MOS WSe heterobilayer
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Effects of thermal exchange-correlation functional on thermodynamic quantities of warm dense beryllium 认领 引用
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作者 Chang Gao Shen Zhang +4 位作者 Zhen-Guo Fu Haijun Huang X.T.He Weiyan Zhang Wei Kang 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2026年第3期46-56,共11页
We report thermodynamic properties,including equation of state,principal Hugoniot,heat capacity,and Grüneisen parameter,for beryllium under density-temperature conditions of ρ=3.0-9.0 g/cm3 and T=5-10000 eV,u... We report thermodynamic properties,including equation of state,principal Hugoniot,heat capacity,and Grüneisen parameter,for beryllium under density-temperature conditions of ρ=3.0-9.0 g/cm3 and T=5-10000 eV,using an extended first-principles molecular dynamics method together with finite-temperature exchange-correlation functionals.Compared with zero-temperature exchange-correlation models,our results exhibit appreciable differences of about 3%in modeling the equation of state.Thermal excitations of K-shell electrons,delocalization of wave functions,and the merging of energy bands for beryllium along the Hugoniot curve are also presented.In addition to the application of these thermodynamic data to inertial confinement fusion and high-energy-density physics,our results may also serve as useful benchmarks for investigating thermal exchange-correlation effects on thermodynamic properties of warm dense matter,and further help to elucidate the mechanisms of inner-shell electron excitation. 展开更多
关键词 equation stateprincipal hugoniotheat principal hugoniot equation state Gr neisen parameter modeling equation statethermal excitations heat capacity thermodynamic properties thermal exchange correlation functional
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Ion correlation effect on electron screening of moderately coupled plasma 认领 引用
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作者 Fuyang Zhou Guangwei Meng +2 位作者 Yizhi Qu Yong Wu Jianguo Wang 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2026年第4期40-50,共11页
For moderately/strongly coupled plasmas,modeling of the electron screening effect remains an unresolved problem,owing to the complicated many-body correlations among the surrounding electrons and ions.In this work,we ... For moderately/strongly coupled plasmas,modeling of the electron screening effect remains an unresolved problem,owing to the complicated many-body correlations among the surrounding electrons and ions.In this work,we investigate the ion correlation effect on electron screening of moderately coupled plasmas using an atomic-state-dependent electron-screening model.It is found that the electron density around a target ion is significantly enhanced by the ion correlation effect from surrounding ions.By considering this ion correlation effect,the electron density fluctuation induced by the target ion becomes non-spherically symmetric,which causes traditional electron screening models to underestimate the screening effects,especially for moderately/strongly coupled and weakly degenerate plasmas.The present model and findings are validated by molecular dynamics simulations of moderately coupled ultracold neutral plasmas.For moderately coupled plasmas,the Coulomb logarithm is found to decrease by about 10%-30% owing to the ion correlation effect,which should be considered when modeling plasma effects on atomic processes,radiation transport,and thermodynamic properties. 展开更多
关键词 target ion moderately coupled plasmas plasmasmodeling electron screening effect ion correlation effect electron density fluctuation electron screening molecular dynamics simulations atomic state dependent model
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Full Analysis of CP Violation Induced by the Decay Angular Correlations in Four-Body Cascade Decays of Heavy Hadrons 认领 引用
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作者 Zhen-Hua Zhang Jian-Yu Yang Xin-Heng Guo 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第7期12-16,I0003-I0005,共5页
The violation of the charge-parity(CP)transformation symmetry,which has been observed in numerous pure meson decay processes,was only confirmed very recently by the LHCb collaboration in the four-body decay of the hea... The violation of the charge-parity(CP)transformation symmetry,which has been observed in numerous pure meson decay processes,was only confirmed very recently by the LHCb collaboration in the four-body decay of the heavy baryonΛb0,Λb0→pK−π+π−,through a comparison of the decay branching ratio with that of the CP-conjugate process.However,the detailed dynamics behind this CP asymme-try is obviously far from clear.We propose a formalism for the full analysis of the decay angular correlations in four-body cascade decays of heavy hadrons which can provide more information about the CP violation in these decays.To illustrate this,we apply the decay angular correlation analysis of CP violation to another four-body decay channel that involves baryons,B0→ppK+π−,which has also been investigated by the LHCb collaboration with no evidence of CP violation being found.Surprisingly,based on a simple assumption on the statistical errors,and with the event yield extracted inversely from the published data of LHCb,we obtain non-zero CP asymme-tries of about 10%corresponding to the decay angular correlations,which are considerably larger than the CP asymmetries observed in theΛb0→pK−π+π−channel.We recommend that experimental collaborations conduct comprehensive decay angular correlation analyses of CP violation in four-body decays of heavy hadrons,including the two channels discussed above. 展开更多
关键词 lhcb collaboration CP violation four body decays heavy baryon b b pk comparison decay branching ratio angular correlations heavy hadrons pure meson decay processeswas
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A Blind Spot in Post-Liver Transplant Care:Correlation and Causation in Immunosuppression,Drug Monitoring,and Immune Checkpoint Inhibitor-Related Rejection 认领 引用
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作者 Björn Nashan 《Health Care Science》 CSCD 2026年第3期169-173,共5页
Correlation describes a relationship between two variables,where a change in one is associated with a change in the other,but it does not prove a cause-and-effect relationship.Causation,by contrast,means that a change... Correlation describes a relationship between two variables,where a change in one is associated with a change in the other,but it does not prove a cause-and-effect relationship.Causation,by contrast,means that a change in one variable directly pro-duces or influences a change in the other.The well-known principle that“correlation does not imply causation”under-scores that two events occurring together do not necessarily indicate that one causes the other-both could be influenced by a third,unobserved factor. 展开更多
关键词 post liver transplant immune checkpoint inhibitor blind spot correlation causation immunosuppression drug monitoring two events occurring together
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Disorder-induced enhancement of nonclassical correlations in programmable integrated quantum walks 认领 引用
20
作者 Zhi-Yuan Zhang Yang Chen +7 位作者 Lan-Tian Feng Jin-Hao Zheng Qin-Qin Wang Bo-Yu Xu Yu-Yang Ding Xiao-Ye Xu Guang-Can Guo Xi-Feng Ren 《Advanced Photonics Nexus》 CSCD 2026年第1期248-256,共9页
Programmable two-particle quantum walks are crucial for advancing quantum simulation,computation,and information processing.Although disorder is traditionally associated with information loss,it can also facilitate em... Programmable two-particle quantum walks are crucial for advancing quantum simulation,computation,and information processing.Although disorder is traditionally associated with information loss,it can also facilitate emergent phenomena such as enhanced energy transport.Here,we experimentally realize a 12-step discrete-time quantum walk in programmable integrated photonic circuits,introducing tunable static and dynamic disorder to explore quantum transport dynamics.In periodic lattices,disorder induces light localization and drives a transition from quantum ballistic to classical diffusive behavior.In particular,quantum walks of correlated photons exhibit a disorder-induced bunching effect,accompanied by enhanced nonclassical correlations.Our platform provides a scalable framework for investigating multiparticle quantum dynamics in engineered environments,promoting the development of quantum optics toward large-scale applications. 展开更多
关键词 integrated quantum photonics disordered quantum walks superdiffusion quantum correlations
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