The Fushan Depression is one of the petroliferous depressions in the Beibuwan Basin,South China Sea.Previous studies have preliminarily explored the origin and source of crude oils in some areas of this depression.Nev...The Fushan Depression is one of the petroliferous depressions in the Beibuwan Basin,South China Sea.Previous studies have preliminarily explored the origin and source of crude oils in some areas of this depression.Nevertheless,no systematic investigations on the classification and origin of oils and hy-drocarbon migration processes have been made for the entire petroleum system in this depression,which has significantly hindered the hydrocarbon exploration in the region.A total of 32 mudstone and 58 oil samples from the Fushan Depression were analyzed to definite the detailed oil-source correlation within the sequence and sedimentary framework.The organic matter of third member of Paleogene Liushagang Formation(Els(3))source rocks,both deltaic and lacustrine mudstone,are algal-dominated with high abundance of C23tricyclic terpane and C304-methylsteranes.The deltaic source rocks occur-ring in the first member(Els1)and second member(Els2)of the Paleogene Liushagang Formation are characterized by high abundance of C19+20tricyclic terpane and oleanane,reflecting a more terrestrial plants contribution.While lacustrine source rocks of Els1and Els2display the reduced input of terrige-nous organic matter with relatively low abundance of C 19+20 tricyclic terpane and oleanane.Three types of oils were identified by their biomarker compositions in this study.Most of the oils discovered in the Huachang and Bailian Els1reservoir belong to group A and were derived from lacustrine source rocks of Els1and Els2.Group B oils are found within the Els1and Els2reservoirs,showing a close relation to the deltaic source rocks of Els1and Els2,respectively.Group C oils,occurring in the Els3 reservoirs,have a good affinity with the Els3 source rocks.The spatial distribution and accumulation of different groups of oils are mainly controlled by the sedimentary facies and specific structural conditions.The Els2reservoir in the Yong'an area belonging to Group B oil,are adjacent to the source kitchen and could be considered as the favorable exploration area in the future.展开更多
Series of 2-alkyl-1,3,4-trimethylbenzenes(ATMBs)were detected in most of crude oils and source rocks collected from various strata and locations of the Tarim Basin.They appeared to have heavy carbon isotopic signatur...Series of 2-alkyl-1,3,4-trimethylbenzenes(ATMBs)were detected in most of crude oils and source rocks collected from various strata and locations of the Tarim Basin.They appeared to have heavy carbon isotopic signatures(δ13C,up to~-16‰)compared to those hydrocarbons from oxygenic phototrophic organisms,indicating that the unequivocal source of green sulfur bacteria(GSB)and photic zone euxinia(PZE)existed in the original environment.Considering the high paleoproductivity,the PZE may have enhanced the preservation of organic matter,which triggered the formation of extremely organic-rich source rocks with TOC up to 29.8%for the Lower Cambrian Yuertus Formation(€1y).The coexistence of ATMBs and the diagnostic products from secondary alterations(e.g.,abundant 25-norhopanes,thiadiamondoids,and diamondoids)indicated a stronger ability of anti-second-alterations.Combined with the results of quantitatively de-convoluting mixed oil,the oil-source correlation based on ATMBs from a large number of Lower Paleozoic samples of the Tarim Basin suggested that the abundant deep crude oil resources co ntained a dominant contribution(>50%)from the€1y source rocks.Therefore,the ATMBs,as diagnostic biomarkers indicating unequivocal precursors under special habitat conditions,might provide important insights for the exploration of deep Lower Paleozoic crude oils in the Tarim Basin.展开更多
Understanding the origins of potential source rocks and unraveling the intricate connections between reservoir oils and their source formations in the Siwa Basin(Western Desert,Egypt)necessitate a thorough oil-source ...Understanding the origins of potential source rocks and unraveling the intricate connections between reservoir oils and their source formations in the Siwa Basin(Western Desert,Egypt)necessitate a thorough oil-source correlation investigation.This objective is achieved through a meticulous analysis of well-log responses,Rock-Eval pyrolysis,and biomarker data.The analysis of Total Organic Carbon across 31 samples representing Paleozoic formations in the Siwa A-1X well reveals a spectrum of organic richness ranging from 0.17 wt%to 2.04 wt%,thereby highlighting diverse levels of organic content and the presence of both Type II and Type III kerogen.Examination of the fingerprint characteristics of eight samples from the well suggests that the Dhiffah Formation comprises a blend of terrestrial and marine organic matter.Notably,a significant contribution from more oxidized residual organic matter and gas-prone Type III kerogen is observed.Contrarily,the Desouky and Zeitoun formations exhibit mixed organic matter indicative of a transitional environment,and thus featuring a pronounced marine influence within a more reducing setting,which is associated with Type II kerogen.Through analysis of five oil samples from different wells—SIWA L-1X,SIWA R-3X,SIWA D-1X,PTAH 5X,and PTAH 6X,it is evident that terrestrial organic matter,augmented by considerable marine input,was deposited in an oxidizing environment,and contains Type III kerogen.Geochemical scrutiny confirms the coexistence of mixed terrestrial organic matter within varying redox environments.Noteworthy is the uniformity of identified kerogen Types II and III across all samples,known to have potential for hydrocarbon generation.The discovery presented in this paper unveils captivating prospects concerning the genesis of oil in the Jurassic Safa reservoir,suggesting potential links to Paleozoic sources or even originating from the Safa Member itself.These revelations mark a substantial advancement in understanding source rock dynamics and their intricate relationship with reservoir oils within the Siwa Basin.By illuminating the processes of hydrocarbon genesis in the region,this study significantly enriches our knowledge base.展开更多
There are abundant bitumens and oil seepages stored in vugs in a Lower-Triassic Daye formation(T_1d)marlite in Ni'erguan village in the Southern Guizhou Depression.However,the source of those oil seepages has not ...There are abundant bitumens and oil seepages stored in vugs in a Lower-Triassic Daye formation(T_1d)marlite in Ni'erguan village in the Southern Guizhou Depression.However,the source of those oil seepages has not been determined to date.Multiple suites of source rocks of different ages exist in the depression.Both the oil seepages and potential source rocks have undergone complicated secondary alterations,which have added to the difficulty of an oil-source correlation.For example,the main source rock,a Lower-Cambrian Niutitang Formation"(∈_1n)mudstone,is over mature,and other potential source rocks,both from the Permian and the Triassic,are still in the oil window.In addition,the T_1d oil seepages underwent a large amount of biodegradation.To minimize the influence of biodegradation and thermal maturation,special methods were employed in this oil-source correlation study.These methods included catalytic hydropyrolysis,to release covalently bound biomarkers from the over mature"kerogen of∈_1n mudstone,sequential extraction,to obtain chloroform bitumen A and chloroform bitumen C from the T_1d marlite,and anhydrous pyrolysis,to release pyrolysates from the kerogen of T_1d marlite.Using the methods above,the biomarkers and n-alkanes releasedfrom the oil samples and source rocks were analysed by GC–MS and GC-C-IRMS.The oil-source correlation indicated that the T_1d oil seepage primarily originated from"the∈_1n mudstone and was partially mixed with oil generated from the T_1d marlite.Furthermore,the seepage also demonstrated that the above methods were effective for the complicated oil-source correlation in the Southern Guizhou Depression.展开更多
The oleanane parameter, i.e., OP (oleananes/(oleananes+C30hopanes)) in the two sedimentary columns of the Beibuwan Basin, South China Sea, can be used to delimit the top of oil generation window, with Ro (/%) o...The oleanane parameter, i.e., OP (oleananes/(oleananes+C30hopanes)) in the two sedimentary columns of the Beibuwan Basin, South China Sea, can be used to delimit the top of oil generation window, with Ro (/%) of 0.53 in Well M1 and 0.55 in Wells H1/Hd1/Hd2, respectively. Comparing with vitrinite reflectance (Ro/%), the OP features a dynamic range and can indicate the oil generation window more precisely. By using OP and other geochemical indices, the oil-source correlation is also conducted. It suggests that the oils in wells M1 and M2 are derived from the source rocks in situ. The mudstone in Huachang uplift is not the main source rocks for oils in this area, The OP is also a useful oil-source correlation parameter in some Tertiary lacustrine basins.展开更多
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
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
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
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
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
Highly concentrated aqueous electrolytes(HCAEs)offer superior energy density and stability in energy conversion and storage than their diluted counterparts,attributed to enhanced ion transport and correlated ion struc...Highly concentrated aqueous electrolytes(HCAEs)offer superior energy density and stability in energy conversion and storage than their diluted counterparts,attributed to enhanced ion transport and correlated ion structures.However,their underlying structure-transport relationships remain poorly understood in wide-temperature and nanoconfinement environments.This study captures electrolyte structure and transport fingerprints shaped by environmental factors,by combining experimental characterization with first-principles molecular simulations at sub-nanometer resolution.It is revealed that ultrahigh concentration changes electrolyte electronic states and forms ion correlation networks with extensive aggregates.These alterations reduce free water content and hydrogen bond network connectivity,resulting in notable deviation from the Nernst-Einstein(NE)-predicted conductivity.This deviation is thermal-alleviated by weakening ion correlations.Nanoconfined interfaces create oscillatory-decaying distribution and heterogeneous orientation in HCAE constituents,resulting in redrawn ion correlation networks and localized NE deviations.Such transport behaviors are further modulated by synergistic thermal-interfacial constraints.Taking NE deviations as descriptors,HCAE transport,mediated by environment-reconstructed ion correlation networks,is then summarized to present threefold-hierarchical variations due to ion concentration,thermal effect,and confinement extent.This threefold-hierarchical framework is transferable among diverse electrolytes,offering a localized insight for electrolyte evaluation in electrochemical energy devices.展开更多
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
BACKGROUND Patients with spinal cord injury(SCI)commonly experience varying degrees of anxiety,depression,and sleep disturbances,which may hinder postoperative recovery.AIM To examine the association between postopera...BACKGROUND Patients with spinal cord injury(SCI)commonly experience varying degrees of anxiety,depression,and sleep disturbances,which may hinder postoperative recovery.AIM To examine the association between postoperative anxiety-depression symptoms,injury severity,and sleep quality in patients with SCI.METHODS A total of 149 patients who underwent surgical treatment for SCI from December 2021 to December 2024 were enrolled.At three months postoperatively,all participants were assessed using the Hamilton Anxiety Scale(HAMA)and Hamilton Depression Scale(HAMD)for psychological status,the American Spinal Injury Association(ASIA)Impairment Scale for injury severity,and the Pittsburgh Sleep Quality Index(PSQI)for sleep quality.Correlation analyses were conducted to evaluate relationships among postoperative anxiety,depression,SCI severity,and sleep disturbances,and regression analyses were used to identify predictors of psychological symptoms.RESULTS Mean HAMA and HAMD scores were 12.00(9.00,14.00)and 14.00(10.00,16.50),respectively,indicating mild anxiety(34.90%)and probable depression(24.83%).Higher ASIA grades were associated with elevated HAMA and HAMD scores.The mean global PSQI score was 12.00(11.00,14.00),with sleep duration,sleep efficiency,and sleep latency being the most affected domains(scores>1).HAMA and HAMD scores showed significant positive correlations with ASIA grades and PSQI scores.Multivariate analysis identified age≥60 years,male sex,disease duration≥12 months,educational level below high school,ASIA grades A-B,and PSQI score≥13 as independent risk factors for postoperative anxiety and depression.CONCLUSION Postoperative anxiety and depression are positively associated with SCI severity and impaired sleep quality management in patients with SCI.展开更多
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
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
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
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
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
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
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
基金funded by the South Oil Exploration and Development Company of PetroChina(2021-HNYJ-010).
摘要The Fushan Depression is one of the petroliferous depressions in the Beibuwan Basin,South China Sea.Previous studies have preliminarily explored the origin and source of crude oils in some areas of this depression.Nevertheless,no systematic investigations on the classification and origin of oils and hy-drocarbon migration processes have been made for the entire petroleum system in this depression,which has significantly hindered the hydrocarbon exploration in the region.A total of 32 mudstone and 58 oil samples from the Fushan Depression were analyzed to definite the detailed oil-source correlation within the sequence and sedimentary framework.The organic matter of third member of Paleogene Liushagang Formation(Els(3))source rocks,both deltaic and lacustrine mudstone,are algal-dominated with high abundance of C23tricyclic terpane and C304-methylsteranes.The deltaic source rocks occur-ring in the first member(Els1)and second member(Els2)of the Paleogene Liushagang Formation are characterized by high abundance of C19+20tricyclic terpane and oleanane,reflecting a more terrestrial plants contribution.While lacustrine source rocks of Els1and Els2display the reduced input of terrige-nous organic matter with relatively low abundance of C 19+20 tricyclic terpane and oleanane.Three types of oils were identified by their biomarker compositions in this study.Most of the oils discovered in the Huachang and Bailian Els1reservoir belong to group A and were derived from lacustrine source rocks of Els1and Els2.Group B oils are found within the Els1and Els2reservoirs,showing a close relation to the deltaic source rocks of Els1and Els2,respectively.Group C oils,occurring in the Els3 reservoirs,have a good affinity with the Els3 source rocks.The spatial distribution and accumulation of different groups of oils are mainly controlled by the sedimentary facies and specific structural conditions.The Els2reservoir in the Yong'an area belonging to Group B oil,are adjacent to the source kitchen and could be considered as the favorable exploration area in the future.
基金financial support provided by the National Science and Technology Major Project of the Ministry of Science and Technology of China (2016ZX04004-004)National Natural Science Foundation of China (41672125)
摘要Series of 2-alkyl-1,3,4-trimethylbenzenes(ATMBs)were detected in most of crude oils and source rocks collected from various strata and locations of the Tarim Basin.They appeared to have heavy carbon isotopic signatures(δ13C,up to~-16‰)compared to those hydrocarbons from oxygenic phototrophic organisms,indicating that the unequivocal source of green sulfur bacteria(GSB)and photic zone euxinia(PZE)existed in the original environment.Considering the high paleoproductivity,the PZE may have enhanced the preservation of organic matter,which triggered the formation of extremely organic-rich source rocks with TOC up to 29.8%for the Lower Cambrian Yuertus Formation(€1y).The coexistence of ATMBs and the diagnostic products from secondary alterations(e.g.,abundant 25-norhopanes,thiadiamondoids,and diamondoids)indicated a stronger ability of anti-second-alterations.Combined with the results of quantitatively de-convoluting mixed oil,the oil-source correlation based on ATMBs from a large number of Lower Paleozoic samples of the Tarim Basin suggested that the abundant deep crude oil resources co ntained a dominant contribution(>50%)from the€1y source rocks.Therefore,the ATMBs,as diagnostic biomarkers indicating unequivocal precursors under special habitat conditions,might provide important insights for the exploration of deep Lower Paleozoic crude oils in the Tarim Basin.
基金the research project is funded by Abdullah Alrushaid Chair for Earth Science Remote Sensing Research at King Saud University,Riyadh,Saudi Arabia.。
摘要Understanding the origins of potential source rocks and unraveling the intricate connections between reservoir oils and their source formations in the Siwa Basin(Western Desert,Egypt)necessitate a thorough oil-source correlation investigation.This objective is achieved through a meticulous analysis of well-log responses,Rock-Eval pyrolysis,and biomarker data.The analysis of Total Organic Carbon across 31 samples representing Paleozoic formations in the Siwa A-1X well reveals a spectrum of organic richness ranging from 0.17 wt%to 2.04 wt%,thereby highlighting diverse levels of organic content and the presence of both Type II and Type III kerogen.Examination of the fingerprint characteristics of eight samples from the well suggests that the Dhiffah Formation comprises a blend of terrestrial and marine organic matter.Notably,a significant contribution from more oxidized residual organic matter and gas-prone Type III kerogen is observed.Contrarily,the Desouky and Zeitoun formations exhibit mixed organic matter indicative of a transitional environment,and thus featuring a pronounced marine influence within a more reducing setting,which is associated with Type II kerogen.Through analysis of five oil samples from different wells—SIWA L-1X,SIWA R-3X,SIWA D-1X,PTAH 5X,and PTAH 6X,it is evident that terrestrial organic matter,augmented by considerable marine input,was deposited in an oxidizing environment,and contains Type III kerogen.Geochemical scrutiny confirms the coexistence of mixed terrestrial organic matter within varying redox environments.Noteworthy is the uniformity of identified kerogen Types II and III across all samples,known to have potential for hydrocarbon generation.The discovery presented in this paper unveils captivating prospects concerning the genesis of oil in the Jurassic Safa reservoir,suggesting potential links to Paleozoic sources or even originating from the Safa Member itself.These revelations mark a substantial advancement in understanding source rock dynamics and their intricate relationship with reservoir oils within the Siwa Basin.By illuminating the processes of hydrocarbon genesis in the region,this study significantly enriches our knowledge base.
基金supported jointly by the National Science and Technology Major Project of China(Grant Nos:2011ZX05008002 and 2011ZX05005-001)
摘要There are abundant bitumens and oil seepages stored in vugs in a Lower-Triassic Daye formation(T_1d)marlite in Ni'erguan village in the Southern Guizhou Depression.However,the source of those oil seepages has not been determined to date.Multiple suites of source rocks of different ages exist in the depression.Both the oil seepages and potential source rocks have undergone complicated secondary alterations,which have added to the difficulty of an oil-source correlation.For example,the main source rock,a Lower-Cambrian Niutitang Formation"(∈_1n)mudstone,is over mature,and other potential source rocks,both from the Permian and the Triassic,are still in the oil window.In addition,the T_1d oil seepages underwent a large amount of biodegradation.To minimize the influence of biodegradation and thermal maturation,special methods were employed in this oil-source correlation study.These methods included catalytic hydropyrolysis,to release covalently bound biomarkers from the over mature"kerogen of∈_1n mudstone,sequential extraction,to obtain chloroform bitumen A and chloroform bitumen C from the T_1d marlite,and anhydrous pyrolysis,to release pyrolysates from the kerogen of T_1d marlite.Using the methods above,the biomarkers and n-alkanes releasedfrom the oil samples and source rocks were analysed by GC–MS and GC-C-IRMS.The oil-source correlation indicated that the T_1d oil seepage primarily originated from"the∈_1n mudstone and was partially mixed with oil generated from the T_1d marlite.Furthermore,the seepage also demonstrated that the above methods were effective for the complicated oil-source correlation in the Southern Guizhou Depression.
基金supported by the Natural Science Foundation of China(Grant No.40672093)CNPC Innovation Fund(07El001)the ESS-China Hydrocarbon Geosciences Collaboration Project under Natural Resources Canada's International Opportunities Program.
摘要The oleanane parameter, i.e., OP (oleananes/(oleananes+C30hopanes)) in the two sedimentary columns of the Beibuwan Basin, South China Sea, can be used to delimit the top of oil generation window, with Ro (/%) of 0.53 in Well M1 and 0.55 in Wells H1/Hd1/Hd2, respectively. Comparing with vitrinite reflectance (Ro/%), the OP features a dynamic range and can indicate the oil generation window more precisely. By using OP and other geochemical indices, the oil-source correlation is also conducted. It suggests that the oils in wells M1 and M2 are derived from the source rocks in situ. The mudstone in Huachang uplift is not the main source rocks for oils in this area, The OP is also a useful oil-source correlation parameter in some Tertiary lacustrine basins.
基金supported by grants from the Basic Science Research Program(RS-2025-02215065,2021M3H4A1A03047327,2022R1A2C3006227)established by the National Research Foundation of Korea(NRF),funded by the Ministry of Science,ICT,and Future Planning(MSIT)the National Research Council of Science&Technology(NST),funded by the Korean Government(MSIT)(CRC22031-000)+3 种基金supported by the Ministry of Trade,Industry and Energy(MOTIE)and Korea Institute for Advancement of Technology(KIAT)through the International Cooperative R&D program(P0028332)National Research Foundation of Korea’s Brain Korea 21 FOUR Postdoctoral Research Program established by the School of Advanced Materials Science and Engineering,Sungkyunkwan University(2025)supported by a National Research Council of Science&Technology grant from the Government of the Republic of Korea(Ministry of Science and ICT,No.CAP22072-101)supported by the Korea Basic Science Institute(National Research Facilities and Equipment Center)funded by the Ministry of Education(RS-2025-02308784).
摘要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.
基金supported by National Natural Science Foundation of China(No.52105578)the National Science and Technology Major Project of China(No.2017ZX02102004)。
摘要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.
基金supported by the National Natural Science Foundation of China(No.12105257)the Research and Development Fund(No.JMJJ202401)。
摘要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.
基金Key Science and Technology Project of Ministry of Emergency Management of People’s Republic of China under Grant No.2024EMST040401Natural Science Foundation of Heilongjiang Province under Grant No.LH2022E119+2 种基金National Key R&D Program of China under Grant No.2023YFF0725004Fund of Institute of Engineering Mechanics,China Earthquake Administration under Grant No.2024B11National Natural Science Foundation of China under Grant No.42404078。
摘要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.
基金partially supported by the Center for Advanced Systems Understanding (CASUS), financed by Germany’s Federal Ministry of Education and Research and the Saxon State Government out of the State Budget approved by the Saxon State Parliamentthe European Union’s Just Transition Fund (JTF) within the project Röntgenlaser Optimierung der Laserfusion (ROLF), Contract No. 5086999001, co-financed by the Saxon State Government out of the State Budget approved by the Saxon State Parliament+3 种基金the European Research Council (ERC) under the European Union’s Horizon 2022 Research and Innovation Programme (Grant Agreement No. 101076233, “PREXTREME”)Computations were performed on a Bull Cluster at the Center for Information Services and High-Performance Computing (ZIH) at Technische Universität Dresden and at the Norddeutscher Verbund für Hoch- und Höchstleistungsrechnen (HLRN) under Grant No. mvp00024support by the National Natural Science Foundation of China under Grant No. 12274171support by the Advanced Materials–National Science and Technology Major Project (Grant No. 2024ZD0606900)
摘要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.
基金supported by the National Science Foundation for Distinguished Young Scholars(No.52025065).
摘要Highly concentrated aqueous electrolytes(HCAEs)offer superior energy density and stability in energy conversion and storage than their diluted counterparts,attributed to enhanced ion transport and correlated ion structures.However,their underlying structure-transport relationships remain poorly understood in wide-temperature and nanoconfinement environments.This study captures electrolyte structure and transport fingerprints shaped by environmental factors,by combining experimental characterization with first-principles molecular simulations at sub-nanometer resolution.It is revealed that ultrahigh concentration changes electrolyte electronic states and forms ion correlation networks with extensive aggregates.These alterations reduce free water content and hydrogen bond network connectivity,resulting in notable deviation from the Nernst-Einstein(NE)-predicted conductivity.This deviation is thermal-alleviated by weakening ion correlations.Nanoconfined interfaces create oscillatory-decaying distribution and heterogeneous orientation in HCAE constituents,resulting in redrawn ion correlation networks and localized NE deviations.Such transport behaviors are further modulated by synergistic thermal-interfacial constraints.Taking NE deviations as descriptors,HCAE transport,mediated by environment-reconstructed ion correlation networks,is then summarized to present threefold-hierarchical variations due to ion concentration,thermal effect,and confinement extent.This threefold-hierarchical framework is transferable among diverse electrolytes,offering a localized insight for electrolyte evaluation in electrochemical energy devices.
基金supported by the National Natural Science Foundation of China(No.52304348)the Science and Technology Plan Project of Liaoning Province(No.2023-MSBA-030)+1 种基金the open fund of State Key Laboratory of Advanced Metallurgy(No.K25-11)the Fundamental Research Funds for the Central Universities(No.N2425021).
摘要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.
基金Supported by Department of Science and Technology of Jilin Province,No.YDZJ202201ZYTS094.
摘要BACKGROUND Patients with spinal cord injury(SCI)commonly experience varying degrees of anxiety,depression,and sleep disturbances,which may hinder postoperative recovery.AIM To examine the association between postoperative anxiety-depression symptoms,injury severity,and sleep quality in patients with SCI.METHODS A total of 149 patients who underwent surgical treatment for SCI from December 2021 to December 2024 were enrolled.At three months postoperatively,all participants were assessed using the Hamilton Anxiety Scale(HAMA)and Hamilton Depression Scale(HAMD)for psychological status,the American Spinal Injury Association(ASIA)Impairment Scale for injury severity,and the Pittsburgh Sleep Quality Index(PSQI)for sleep quality.Correlation analyses were conducted to evaluate relationships among postoperative anxiety,depression,SCI severity,and sleep disturbances,and regression analyses were used to identify predictors of psychological symptoms.RESULTS Mean HAMA and HAMD scores were 12.00(9.00,14.00)and 14.00(10.00,16.50),respectively,indicating mild anxiety(34.90%)and probable depression(24.83%).Higher ASIA grades were associated with elevated HAMA and HAMD scores.The mean global PSQI score was 12.00(11.00,14.00),with sleep duration,sleep efficiency,and sleep latency being the most affected domains(scores>1).HAMA and HAMD scores showed significant positive correlations with ASIA grades and PSQI scores.Multivariate analysis identified age≥60 years,male sex,disease duration≥12 months,educational level below high school,ASIA grades A-B,and PSQI score≥13 as independent risk factors for postoperative anxiety and depression.CONCLUSION Postoperative anxiety and depression are positively associated with SCI severity and impaired sleep quality management in patients with SCI.
基金supported by the National Natural Science Foundation of China(Grant Nos.12205097,12141501,12475117,and 12435006)the National Key Laboratory of Neutron Science and Technology(Grant No.NST202401016)+1 种基金the National Key R&D Program of China(Grant Nos.2024YFA1612600 and 2024YFE0109803)the High-performance Computing Platform of Peking University。
摘要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.
基金funded by the National Key Research and Development Program of China(Grant No.2024YFC3012804)。
摘要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.
基金supported in part by the National Natural Science Foundation of China(Grant 62462013)the High-Level Innovative Talent Project of Guizhou Province(Grant QKHPTRC-GCC2023027)+6 种基金the Science and Technology Innovation Talent Team Project of Data Science and Computational Intelligence of Guizhou Province(Grant QKHRC-CXTD2025038)the Key Project of the Basic Research Program of Guizhou Province(Grant QKHJCZD2026144)the Science and Technology Breakthrough Project of Hundred Schools and Thousand Enterprises of the Education Department of Guizhou Province(Grant QJJ2025011)the Key Project of Engineering Research Center of Micronano and Intelligent Manufacturing of Ministry of Education(Grant WZG202501)the Scientific Research Platform(Key Laboratory and Engineering Research Center)Project of Kaili University(Grants YTHPT202501 and YTH-PT202602)the Science and Technology Foundation of Guizhou Province(Grants QKHJCMS2026727,QKHJC2024QN026,and QKHJC2024QN208)the Natural Science Research Project of the Education Department of Guizhou Province(Grants QJJ2023012 and QJJ2023061)。
摘要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.
基金supported in part by the Pioneer Research and Development Program of Zhejiang(2025C01021)Zhejiang Province Postdoctoral Research Project Selection Fund(ZJ2025061)+3 种基金the National Science and Technology Major Project-Intelligent Manufacturing Systems and Robotics of China(2025ZD1602000,2025ZD1601800)the National Natural Science Foundation of China(61933015,62273030,62573387)the Natural Science Foundation of Zhejiang province,China(LY24F030004)the Fundamental Research Funds of Zhejiang Sci-Tech University(25222139-Y)。
摘要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.
基金supported in part by the National Natural Science Foundation of China(No.12575145)the National Key Research and Development Program of China(No.2022YFA1604900)。
摘要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.
基金supported by the Natural Sciences and Engineering Research Council of Canada(NSERC)Discovery Grants 341275。
摘要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.
基金supported by the National Key R&D Program of China(Grant No.2020YFA0309600)the Research Grants Council(RGC)of Hong Kong(Grant Nos.16303123,C6053-23G-D,AoE/P701/20).
摘要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.