In recent years,magic-angle twisted bilayer graphene has emerged as a focal point in condensed matter physics due to its novel quantum properties arising from ultra-flat electronic bands.Subsequent research has also r...In recent years,magic-angle twisted bilayer graphene has emerged as a focal point in condensed matter physics due to its novel quantum properties arising from ultra-flat electronic bands.Subsequent research has also revealed analogous flat-band physics in other twisted multilayer graphene systems,such as twisted monolayer-bilayer graphene,twisted trilayer graphene,and twisted double-bilayer graphene.These graphene-based twisted systems host a rich variety of strongly correlated and topological quantum states—including ferromagnetism,superconductivity,Chern insulators,and the quantum anomalous Hall effect—significantly advancing the investigation of strongly correlated and topological physics in real materials.Here,we conduct a systematic review of the recent advances in the exploration of flat-band and strong correlation physics using scanning tunneling microscopy/spectroscopy in magic-angle twisted multilayer graphene.First,we briefly introduce the theoretical background of the flat-band physics in magic-angle twisted multilayer graphene.Subsequently,we present in detail the strongly correlated electronic states and exotic quantum phenomena observed by scanning tunneling microscopy/spectroscopy in various twisted graphene platforms,including twisted bilayer graphene,twisted monolayer−bilayer graphene,twisted trilayer graphene,and twisted double-bilayer graphene.Lastly,we provide a summary and an outlook for future research in this field.展开更多
Shield attitude control is a critical aspect that must be continuously monitored during shield tunneling.To achieve scientifically rational settings for shield tunneling parameters,this study constructed multiple mach...Shield attitude control is a critical aspect that must be continuously monitored during shield tunneling.To achieve scientifically rational settings for shield tunneling parameters,this study constructed multiple machine learning prediction models,including shield attitude deviations and tunneling speed,and optimized the hyperparameters of these models using Bayesian algorithms.Subsequently,a constrained grey wolf optimization(GWO)algorithm was employed to establish a real-time safety control method for attitude that considers tunneling efficiency,by dynamically updating the upper and lower bounds for adjustable parameters.The results indicate that the k-nearest neighbors(KNN)model achieved the highest prediction accuracy;however,due to its specific algorithmic principles,KNN is unsuitable for optimization tasks.Embedding the extreme gradient boosting model into the GWO algorithm yielded the best attitude control performance:the absolute attitude deviations were reduced by an average of 45.1%compared to actual values,while the rate of change for adjustable parameters did not exceed 30%.This approach ensures safety and tunneling efficiency during attitude correction and exhibits universal applicability.Compared with other optimization algorithms,GWO demonstrated significant advantages in both optimization effectiveness and computational time.展开更多
Tunneling nanotubes are crucial structures for cellular communication and are observed in a variety of cell types.Glial cells,the most abundant cells in the nervous system,play a vital role in intercellular signaling ...Tunneling nanotubes are crucial structures for cellular communication and are observed in a variety of cell types.Glial cells,the most abundant cells in the nervous system,play a vital role in intercellular signaling and can show abnormal activation under pathological conditions.Our bibliometric analysis indicated a substantial increase in research on tunneling nanotubes over the past two decades,highlighting their important role in cellular communication.This review focuses on the formation of tunneling nanotubes in various types of glial cells,including astrocytes,microglia,glioma cells,and Schwann cells,as well as their roles in cellular communication and cargo transport.We found that glial cells influence the stability of the neural system and play a role in nerve regeneration through tunneling nanotubes.Tunneling nanotubes facilitate the transmission and progression of diseases by transporting pathogens and harmful substances.However,they are also involved in alleviating cellular stress by removing toxins and delivering essential nutrients.Understanding the interactions between glial cells through tunneling nanotubes could provide valuable insights into the complex neural networks that govern brain function and responses to injury.展开更多
Long-term,concealed leakage from aging urban pipelines degrades the mechanical properties of unsaturated soils,increasing the likelihood of engineering failures when disturbed by shield tunneling.This study systematic...Long-term,concealed leakage from aging urban pipelines degrades the mechanical properties of unsaturated soils,increasing the likelihood of engineering failures when disturbed by shield tunneling.This study systematically investigates the coupled eff ects of long-term pipeline leakage and shield tunneling in unsaturated clay strata.Test materials were collected through fi eld sampling,and the fi lter paper and temperature–humidity methods were used to measure the suction of unsaturated clay,revealing quantitative relationships between water content and matric suction,total suction,and osmotic suction.Incorporating direct shear tests,the infl uence of suction on soil shear strength was analyzed,and a correlation model relating water content,saturation,suction,and shear strength was developed.The results show that matric and total suction decrease markedly as water content increases,whereas osmotic suction initially increases and then stabilizes with further increases in water content.Both cohesion and internal friction angle decrease with increasing water content,and matric suction dominates the contribution to cohesion under low water content conditions.Based on the saturation–shear strength correlation model,the strength characteristics of the formation aff ected by pipeline leakage were reconstructed,and a three-dimensional numerical model was developed to simulate the coupled effects of pipeline leakage and shield tunneling.The evolution of vertical stratum stress,plastic zone development,and pipeline stress induced by single-line and double-line tunneling was analyzed under various conditions,including small,medium,and large leakage scopes,and leakage lengths of 9 m,27 m,and 45 m.The results indicate that pronounced stress concentration zones develop in the stratum under largescale leakage,and the extent of the plastic zone increases markedly as the leakage scope expands.When the tunnel face approaches the pipeline invert,large-scale plastic deformation inclined toward the excavation face develops in the stratum,and the disturbance is substantially greater than that observed under small-scale leakage or single-line excavation.The fi ndings clarify the mechanical responses of strata and structures under coupled pipeline leakage and tunneling eff ects,providing a theoretical basis and technical support for risk assessment in similar engineering projects.展开更多
Large-diameter shield tunneling in composite strata presents significant challenges due to the heterogeneous mechanical properties,posing substantial risks to excavation safety.Existing research,however,provides limit...Large-diameter shield tunneling in composite strata presents significant challenges due to the heterogeneous mechanical properties,posing substantial risks to excavation safety.Existing research,however,provides limited insights into how specific layer configurations influence soil strength,failure mechanisms,and the soil arching effect.This study aims to bridge these knowledge gaps by systematically investigating the mechanical behaviors of sand–clay and sand–pebble composites,as well as their excavation-induced responses.Methodologically,we integrate laboratory triaxial tests on reconstituted composite specimens with 3-dimensional(3D)finite element simulations of the tunneling process.Key contributions of this work include:1)the identification of a critical clay layer thickness(20–40 mm)that governs the transition from interfacial slippage to bulging failure in sand–clay composites;2)the quantification of a progressive strength reduction(up to 14.52%)in sand–pebble composites as the sand layer shifts downward;and 3)a novel comparative analysis using a soil stress coefficient method,which reveals a more extensive destruction zone and a more fragile soil arching effect in sand–pebble strata,thereby indicating an elevated risk of collapse.These findings provide crucial insights into the performance of large-diameter shield tunnels in complex geological conditions and offer guidance for safer design and operational control.展开更多
Shield tunneling is the method most commonly used for underground projects.Segment typesetting,which involves determining the optimal assembly point for each segment ring and sequentially assembling them into a comple...Shield tunneling is the method most commonly used for underground projects.Segment typesetting,which involves determining the optimal assembly point for each segment ring and sequentially assembling them into a complete tunnel,is a critical step in shield tunneling.Currently,this typesetting process relies heavily on the operator’s experience at construction sites,which does not guarantee quality.Furthermore,research focuses mainly on the commonly used 16-point segment typesetting,largely ignoring other segment types.In addition,the reliability of these studies in site applications remains unsatisfactory.To address these issues,we propose an intelligent method for segment typesetting using an artificial neural network(ANN)and transfer learning.Due to insufficient historical data for ANN training,a dataset creation method was devised based on the Monte Carlo method and manual annotation.An ANN model was then developed to typeset 16-point segments,with its hyperparameters optimized through Bayesian optimization.Subsequently,the trained model was adapted to other segment types via transfer learning,using 10-point segments as a case study.Based on the test set established in this study,our proposed method showed superior performance compared with several commonly used machine learning methods and a representative and well-validated segment typesetting method.It was also validated using real data collected from construction sites,achieving an accuracy of 93.75%for 16-point segments and 91.43%for 10-point segments,both of which significantly surpass the results from manual typesetting on-site.The proposed method achieves accurate,rapid,and intelligent segment typesetting,which is adaptable to various segment types.展开更多
Tunneling diodes hold significant promise for future rectification in the terahertz(THz)and visible light spectra,thanks to their femtosecond-scale transit-time tunneling capabilities.In this work,TiN/ZnO/Pt fin tunne...Tunneling diodes hold significant promise for future rectification in the terahertz(THz)and visible light spectra,thanks to their femtosecond-scale transit-time tunneling capabilities.In this work,TiN/ZnO/Pt fin tunneling diodes(FTDs)with tunneling distances of 10 and 5 nm are fabricated,which demonstrate remarkable characteristics,including ultrahigh asymmetry(1.6×104for 10 nm device and 1.6×103 for 5 nm device),high responsivity(25.3 V-1 for 10 nm device and 28.3 V-1 for 5 nm device)at zero bias,surpassing the thermal voltage limit of conventional Schottky diodes,and low turn-on voltage(Von)of approximately 100 mV for both devices,making them ideal for power conversion applications.Using technology computer-aided design(TCAD)simulations,the observed asymmetry in electronic transport is attributed to the transition between Fowler-Nordheim tunneling(FNT)and trap-assisted tunneling(TAT)under different biasing conditions,as illustrated by the corresponding energy band profiles.Furthermore,by integrating the FTDs,a rectifier bridge circuit is designed and exhibits full-wave rectification behavior,validated through SPICE simulations for THz-band operations.This advancement offers a highly efficient solution for THz-band energy conversion and effective detection applications.展开更多
Shield tunneling in saturated ground poses challenges due to the potential risk of ground collapse resulting from seepage force and inadequate support pressure.This study employed a laboratory model test and a theoret...Shield tunneling in saturated ground poses challenges due to the potential risk of ground collapse resulting from seepage force and inadequate support pressure.This study employed a laboratory model test and a theoretical validation to elucidate the mechanisms of face failure and subsequent ground collapse in saturated ground during slurry pressure-balanced shield(SPBS)tunneling operations.A slurry circulation system was developed to ensure steady shield tunneling and to replicate the phenomena of ground collapse.Investigations into shield tunneling parameters and ground responses,including soil pressure,pore water pressure,and surface subsidence,were conducted to understand the mechanisms of face failure and subsequent ground collapse.The theoretical solution for the critical collapse pressure of the tunnel face,based on the rotational failure mechanism,was validated through the comparison with the experimentally determined critical collapse pressure.The results indicate that:(1)appropriate adjustments of tunneling parameters are crucial for promoting filtercake formation,maintaining chamber pressure,and minimizing ground subsidence;(2)chamber pressure,soil pressure,pore water pressure,and ground subsidence are closely correlated with shield tunneling parameters and the formation of filter cake;(3)ground collapse follows a continuous failure mode due to the destruction of filtercake and the decrease in chamber pressure;(4)the soil pressure at the cutterhead is more sensitive to disturbances from shield tunneling than chamber pressure;and(5)experimentally determined critical collapse pressures is consistent with the theoretical solution of limit analysis.展开更多
The big data generated by tunnel boring machines(TBMs)are widely used to reveal complex rock-machine interactions by machine learning(ML)algorithms.Data preprocessing plays a crucial role in improving ML accuracy.For ...The big data generated by tunnel boring machines(TBMs)are widely used to reveal complex rock-machine interactions by machine learning(ML)algorithms.Data preprocessing plays a crucial role in improving ML accuracy.For this,a TBM big data preprocessing method in ML was proposed in the present study.It emphasized the accurate division of TBM tunneling cycle and the optimization method of feature extraction.Based on the data collected from a TBM water conveyance tunnel in China,its effectiveness was demonstrated by application in predicting TBM performance.Firstly,the Score-Kneedle(S-K)method was proposed to divide a TBM tunneling cycle into five phases.Conducted on 500 TBM tunneling cycles,the S-K method accurately divided all five phases in 458 cycles(accuracy of 91.6%),which is superior to the conventional duration division method(accuracy of 74.2%).Additionally,the S-K method accurately divided the stable phase in 493 cycles(accuracy of 98.6%),which is superior to two state-of-the-art division methods,namely the histogram discriminant method(accuracy of 94.6%)and the cumulative sum change point detection method(accuracy of 92.8%).Secondly,features were extracted from the divided phases.Specifically,TBM tunneling resistances were extracted from the free rotating phase and free advancing phase.The resistances were subtracted from the total forces to represent the true rock-fragmentation forces.The secant slope and the mean value were extracted as features of the increasing phase and stable phase,respectively.Finally,an ML model integrating a deep neural network and genetic algorithm(GA-DNN)was established to learn the preprocessed data.The GA-DNN used 6 secant slope features extracted from the increasing phase to predict the mean field penetration index(FPI)and torque penetration index(TPI)in the stable phase,guiding TBM drivers to make better decisions in advance.The results indicate that the proposed TBM big data preprocessing method can improve prediction accuracy significantly(improving R2s of TPI and FPI on the test dataset from 0.7716 to 0.9178 and from 0.7479 to 0.8842,respectively).展开更多
In the process of backfill grouting for shield tunneling,the hardening and shrinkage of the slurry can easily lead to ground settlement,whereas the secondary grouting prolongs the construction period and increases the...In the process of backfill grouting for shield tunneling,the hardening and shrinkage of the slurry can easily lead to ground settlement,whereas the secondary grouting prolongs the construction period and increases the engineering cost generally.In this study,a new but low-cost strategy to resist the shrinkage of backfill grouting using calcium a sulphoaluminate micro-expansion agent(CAS-H)is innovatively proposed.With the addition of CAS-H at 8%and 20%,the lateral expansion rate of the backfill grouting increased to 1%and 3%at 28 d,respectively.On the contrary,that of the backfill grouting without CAS-H was only about-4%.Simultaneously,CAS-H also increased the density and the impermeability of the hardened slurry significantly.Other essential properties such as the bleeding rate,setting time,fluidity,consistency,strength after hardening and other indicators of the backfill grouting still satisfied the related engineering standards.From the perspective of microstructure,the appearance of C-S-H gel,C4AH13,Aft,Afm and Ca(OH)2 was accelerated by CASH,filling the pores and making the microstructure denser.The hydration heat curve and thermodynamic simulation(GEMS)further validated the other essential beneficial effects of CAS-H,and the cumulative hydration heat of 72 h was calculated to be increased by 29.6%.The hydration degree of cement clinker(C3S,C2S,C3A,C4AF,etc)also increased,which was believed the key reason for inhibiting the shrinkage of the background grouting using the expansion agent-activated strategy.展开更多
BACKGROUND Esophageal epiphrenic diverticulum(ED)often occurs in patients with esophageal motility disorders,and its incidence rate is approximately 3%-7%in achalasia(AC).A distinct septum has been observed in some pa...BACKGROUND Esophageal epiphrenic diverticulum(ED)often occurs in patients with esophageal motility disorders,and its incidence rate is approximately 3%-7%in achalasia(AC).A distinct septum has been observed in some patients with AC coexisting with ED during gastroscopy.Digestive endoscopic tunnel technique has emerged as a promising therapeutic approach for these patients.AIM To evaluate the therapeutic effectiveness of specific treatment methods for ED with septum(ED+S)or ED without septum(ED-S)in AC patients.METHODS This retrospective cohort study included 31 patients with AC and esophageal diverticula(21 patients with septum and 10 patients without septum)between January 2016 and January 2025.In ED+S group,submucosal tunneling myotomy combined with diverticular septotomy was performed,while patients in the ED-S group underwent submucosal myotomy alone.The Eckardt scores before and after surgery were compared to evaluate symptom relief and clinical success.The Gastroesophageal Reflux Disease Questionnaire(GERD-Q)score and gastroscopy findings were used to evaluate postoperative gastroesophageal reflux.RESULTS The corresponding operation steps were completed in both groups,with a technical success rate of 100%.We successfully followed up with 18 and 10 patients in the ED+S and ED-S group,with a median follow-up period of 2.5 years and 3.0 years,respectively.The postoperative Eckardt scores[median(interquartile range)]were significantly lower in both groups compared with preoperative scores[ED+S group:6.0(4.0-8.0)vs 0(0-2.0),P<0.05;ED-S group:6.0(3.75-8.25)vs 1.0(0-3.0),P<0.05].The clinical success rates(Eckardt score≤3)were 88.9%and 90.0%,respectively.The GERD-Q score was used to evaluate postoperative gastroesophageal reflux,and 3 patients(3/18,16.7%)in ED+S group and 2 patients(2/10,20%)in ED-S group experienced symptomatic reflux(GERD-Q score≥8).CONCLUSION In AC patients with ED+S,submucosal tunneling myotomy with diverticular septotomy can achieve good therapeutic effects.When there is no obvious septum,submucosal tunneling myotomy is an effective method.展开更多
Altermagnets,a class of unconventional antiferromagnets with non-relativistic spin-splitting,offer promising potential for antiferromagnetic spintronic devices.While many altermagnets are limited by either low magneti...Altermagnets,a class of unconventional antiferromagnets with non-relativistic spin-splitting,offer promising potential for antiferromagnetic spintronic devices.While many altermagnets are limited by either low magnetic transition temperatures or weak spin splitting,the recently discovered metal CrSb,with high N′eel temperature(TN=710 K)and significant spin-splitting due to its unique spin space group,provides a robust platform for remarkable tunneling magnetoresistance(TMR)in collinear all-antiferromagnetic tunnel junctions(AATJs).This study systematically investigates the spin-polarized Fermi surface of CrSb and spin-dependent electron transport in CrSb-based AATJs.The CrSb/β-InSe/CrSb junction with a three-monolayer InSe barrier exhibits a TMR ratio of approximately 290%,with energy-dependent analysis revealing TMR ratios that may exceed 850%when considering the shift of the Fermi energy.We also demonstrate the angle-dependent TMR of CrSb-based AATJs by adjusting N′eel vector orientations.Our findings might provide strong theoretical support for CrSb as a versatile building block for all-antiferromagnetic memory devices.展开更多
The deformation caused by tunnel excavation is quite important for safety,especially when it is adjacent to the existing tunnel.Nevertheless,the investigation of deformation characteristics in overlapped curved shield...The deformation caused by tunnel excavation is quite important for safety,especially when it is adjacent to the existing tunnel.Nevertheless,the investigation of deformation characteristics in overlapped curved shield tunneling remains inadequate.The analytical solution for calculating the deformation of the ground and existing tunnel induced by overlapped curved shield tunneling is derived by the Mirror theory,Mindlin solution and Euler-Bernoulli-Pasternak model,subsequently validated through both finite element simulation and field monitoring.It is determined that the overcutting plays a crucial role in the ground settlement resulting from curved shield tunneling compared to straight shield tunneling.The longitudinal settlement distribution can be categorized into five areas,with the area near the tunnel surface experiencing the most dramatic settlement changes.The deformation of the existing tunnel varies most significantly with turning radius compared to tunnel clearance and grouting pressure,especially when the turning radius is less than 30 times the tunnel diameter.The tunnel crown exhibits larger displacement than the tunnel bottom,resulting in a distinctive‘vertical egg'shape.Furthermore,an optimized overcutting mode is proposed,involving precise control of the extension speed and angular velocity of the overcutting cutter,which effectively mitigates ground deformation,ensuring the protection of the existing tunnel during the construction.展开更多
Due to their biological interpretability,memristors are widely used to simulate synapses between artificial neural networks.As a type of neural network whose dynamic behavior can be explained,the coupling of resonant ...Due to their biological interpretability,memristors are widely used to simulate synapses between artificial neural networks.As a type of neural network whose dynamic behavior can be explained,the coupling of resonant tunneling diode-based cellular neural networks(RTD-CNNs)with memristors has rarely been reported in the literature.Therefore,this paper designs a coupled RTD-CNN model with memristors(RTD-MCNN),investigating and analyzing the dynamic behavior of the RTD-MCNN.Based on this model,a simple encryption scheme for the protection of digital images in police forensic applications is proposed.The results show that the RTD-MCNN can have two positive Lyapunov exponents,and its output is influenced by the initial values,exhibiting multistability.Furthermore,a set of amplitudes in its output sequence is affected by the internal parameters of the memristor,leading to nonlinear variations.Undoubtedly,the rich dynamic behaviors described above make the RTD-MCNN highly suitable for the design of chaos-based encryption schemes in the field of privacy protection.Encryption tests and security analyses validate the effectiveness of this scheme.展开更多
Carbon nanotubes(CNTs)have garnered great attention in recent years due to their outstanding electrical,thermal,and mechanical properties.The incorporation of small amounts of CNTs in polymers can substantially improv...Carbon nanotubes(CNTs)have garnered great attention in recent years due to their outstanding electrical,thermal,and mechanical properties.The incorporation of small amounts of CNTs in polymers can substantially improve the sensitivity of the polymer's electrical conductivity.This paper presents a modified Maxwell model to evaluate the electrical conductivity of CNTs-filled polymer composites by introducing a transition zone to account for the tunneling effect.In this modified Maxwell model,the CNTs-filled polymer composite is modeled as a three-phase composite,consisting of a matrix(polymer),inclusions(CNTs),and a transition zone(tunneling zone).The effective electrical conductivity(EEC)of the composite is calculated based on the volume fractions and electrical conductivities of the matrix,inclusions,and transition zone.The model's validity is confirmed through the use of available test data,which demonstrates its capability to accurately capture the nonlinear conductivity behavior observed in CNTs-polymer composites.This study offers valuable insights into the design of high-performance conductive polymer nanocomposites,and enhances the understanding of electrical conduction mechanisms in CNT-dispersed polymer composites.展开更多
Dear Editor,We present the reported case of steroid-induced glaucoma(SIG)treated by trabeculectome tunneling trabeculoplasty(3T).The 3T procedure is a new minimally invasive glaucoma surgery designed to protect and en...Dear Editor,We present the reported case of steroid-induced glaucoma(SIG)treated by trabeculectome tunneling trabeculoplasty(3T).The 3T procedure is a new minimally invasive glaucoma surgery designed to protect and enhance the function of the trabecular meshwork(TM)while reducing resistance to outflow of atrial fluid[1].A 20-year-old male patient experienced an elevation in intraocular pressure(IOP)and subsequently progressed to SIG after continuously using tobramycin-dexamethasone eyedrops for one year.Trabeculotomy of the right eye was performed.展开更多
The assembly behaviors of two low-symmetric carboxylic acid molecules(50-(6-carboxynaphthalen-2-yl)-[1,10:30,100-triphenyl]-3,400,5-tricarboxylic acid(CTTA)and 30,50-bis(6-carboxynaphthalen-2-yl)-[1,10-biphenyl]-3,5-d...The assembly behaviors of two low-symmetric carboxylic acid molecules(50-(6-carboxynaphthalen-2-yl)-[1,10:30,100-triphenyl]-3,400,5-tricarboxylic acid(CTTA)and 30,50-bis(6-carboxynaphthalen-2-yl)-[1,10-biphenyl]-3,5-dicarboxylic acid(BCBDA))containing naphthalene rings on graphite surfaces have been investigated using scanning tunneling microscopy(STM).The transformation of nanostructures induced by the second components(EDA and PEBP-C4)have been also examined.Both CTTA and BCBDA molecules self-assemble at the 1-heptanoic acid(HA)/HOPG interface,forming porous network structures.The dimer represents the most elementary building unit due to the formation of double hydrogen bonds.Moreover,the flipping of naphthalene ring results in the isomerization of BCBDA molecule.The introduction of carboxylic acid derivative EDA disrupts the dimer,which subsequently undergoes a structural conformation to form a novel porous structure.Furthermore,upon the addition of pyridine derivative PEBP-C4,N–H⋯O hydrogen bonds are the dominant forces driving the three coassembled structures.We have also conducted density functional theory(DFT)calculations to determine the molecular conformation and analyze the mechanisms underlying the formation of nanostructures.展开更多
The injection of electrical charge from an electrode into organic semiconductors directly influences the performance of organic optoelectronic devices.However,our understanding of the mechanisms behind charge injectio...The injection of electrical charge from an electrode into organic semiconductors directly influences the performance of organic optoelectronic devices.However,our understanding of the mechanisms behind charge injection remains incomplete.In this study,we explored the hole injection from an indium tin oxide(ITO)electrode into a hole transport layer(HTL)by employing various organic interlayers(ILs)with different ionization potentials(IPs).It was demonstrated that using O2plasma treatment onto an ITO surface and incorporating an interlayer(IL)with a higher IP between the ITO electrode and the HTL can substantially increase the hole current density.This improvement leads to the achievement of barrier-free injection and the establishment of space-charge-limited current.We propose two synergistic mechanisms of spatial electron tunneling that govern the injection characteristics:electron tunneling from the HTL across the IL to the electrode that establishes an electrostatic equilibrium with a zero-injection barrier and an electric-field-induced spatial tunneling effect that occurs during device operation with applying bias.This research offers a strategy to achieve spacecharge-limited hole current and provides an explanatory framework for understanding the underlying physics of charge injection.展开更多
Lead-free halide double perovskites(HDPs)provide a promising platform for high-performance thermoelectric due to their intrinsically ultralow lattice thermal conductivity kl.In this study,we comprehensively investi...Lead-free halide double perovskites(HDPs)provide a promising platform for high-performance thermoelectric due to their intrinsically ultralow lattice thermal conductivity kl.In this study,we comprehensively investigate the lattice dynamics of Cs2AgInCl6using first-principles calculations.By explicitly incorporating four-phonon scattering and wave-like phonon tunneling,we predict a klof 0.52 W·m-1·K-1with a remarkably weak temperature dependence(kl∝T-0.31),confirming the intrinsically glass-like ultralow klin Cs2AgInCl6.Further analyses reveal that hierarchical chemical bonds,loosely bonded rattling atoms and a mixed crystalline-liquid state collectively induce strong anharmonicity manifested in flat phonon modes.These factors dominate the glass-like thermal transport component of kl.This work uncovers the underlying mechanisms governing the unusual thermal transport properties in lead-free HDPs and offers guiding principles for designing novel energy conversion technologies.展开更多
In tunnel construction with tunnel boring machines(TBMs),accurate knowledge of disc-cutter failure states is crucial to ensure efficient operation and prevent delays and cost overruns.This study investigates the influ...In tunnel construction with tunnel boring machines(TBMs),accurate knowledge of disc-cutter failure states is crucial to ensure efficient operation and prevent delays and cost overruns.This study investigates the influence of disc-cutter partial wear on tunneling parameters and proposes a novel method for discriminating partial-wear ratio based on a stacking ensemble model.The time-domain features of torque and thrust,including the average value and standard deviation,are analyzed through a series of scaled-down experimental tests on partial wear.Torque and thrust values will increase when a disc cutter is trapped and partially worn.The impact of partial-wear ratio on tunneling parameters appears to be more significant than partial-wear depth.A total of 40 features are selected from the time domain,frequency domain,and time-frequency domain to describe the torque and thrust.The relationships between these features and the partial-wear ratio are analyzed using the Pearson coefficient and Copula entropy.The results reveal that,except for the form factor in the time-domain features,the remaining features exhibit certain linear or non-linear correlations with the partial-wear ratio.Lastly,the proposed model successfully achieves the discrimination of the partial-wear ratio and outperforms other commonly used models in terms of overall classification accuracy and differentiation capability in different categories.This research provides effective support for monitoring and health management of disc-cutter failure states.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.12474166 and 12174095)the Natural Science Foundation of Hunan Province,China(Grant No.2025JJ20001).
摘要In recent years,magic-angle twisted bilayer graphene has emerged as a focal point in condensed matter physics due to its novel quantum properties arising from ultra-flat electronic bands.Subsequent research has also revealed analogous flat-band physics in other twisted multilayer graphene systems,such as twisted monolayer-bilayer graphene,twisted trilayer graphene,and twisted double-bilayer graphene.These graphene-based twisted systems host a rich variety of strongly correlated and topological quantum states—including ferromagnetism,superconductivity,Chern insulators,and the quantum anomalous Hall effect—significantly advancing the investigation of strongly correlated and topological physics in real materials.Here,we conduct a systematic review of the recent advances in the exploration of flat-band and strong correlation physics using scanning tunneling microscopy/spectroscopy in magic-angle twisted multilayer graphene.First,we briefly introduce the theoretical background of the flat-band physics in magic-angle twisted multilayer graphene.Subsequently,we present in detail the strongly correlated electronic states and exotic quantum phenomena observed by scanning tunneling microscopy/spectroscopy in various twisted graphene platforms,including twisted bilayer graphene,twisted monolayer−bilayer graphene,twisted trilayer graphene,and twisted double-bilayer graphene.Lastly,we provide a summary and an outlook for future research in this field.
基金supported by the National Natural Science Foundation of China(Grant Nos.52378386 and 52178336).
摘要Shield attitude control is a critical aspect that must be continuously monitored during shield tunneling.To achieve scientifically rational settings for shield tunneling parameters,this study constructed multiple machine learning prediction models,including shield attitude deviations and tunneling speed,and optimized the hyperparameters of these models using Bayesian algorithms.Subsequently,a constrained grey wolf optimization(GWO)algorithm was employed to establish a real-time safety control method for attitude that considers tunneling efficiency,by dynamically updating the upper and lower bounds for adjustable parameters.The results indicate that the k-nearest neighbors(KNN)model achieved the highest prediction accuracy;however,due to its specific algorithmic principles,KNN is unsuitable for optimization tasks.Embedding the extreme gradient boosting model into the GWO algorithm yielded the best attitude control performance:the absolute attitude deviations were reduced by an average of 45.1%compared to actual values,while the rate of change for adjustable parameters did not exceed 30%.This approach ensures safety and tunneling efficiency during attitude correction and exhibits universal applicability.Compared with other optimization algorithms,GWO demonstrated significant advantages in both optimization effectiveness and computational time.
基金supported by the National Natural Science Foundation of China,No.82101115(to JY)the Wuhan University Independent Innovation Fund Youth Project,No.2042021kf0094(to JY).
摘要Tunneling nanotubes are crucial structures for cellular communication and are observed in a variety of cell types.Glial cells,the most abundant cells in the nervous system,play a vital role in intercellular signaling and can show abnormal activation under pathological conditions.Our bibliometric analysis indicated a substantial increase in research on tunneling nanotubes over the past two decades,highlighting their important role in cellular communication.This review focuses on the formation of tunneling nanotubes in various types of glial cells,including astrocytes,microglia,glioma cells,and Schwann cells,as well as their roles in cellular communication and cargo transport.We found that glial cells influence the stability of the neural system and play a role in nerve regeneration through tunneling nanotubes.Tunneling nanotubes facilitate the transmission and progression of diseases by transporting pathogens and harmful substances.However,they are also involved in alleviating cellular stress by removing toxins and delivering essential nutrients.Understanding the interactions between glial cells through tunneling nanotubes could provide valuable insights into the complex neural networks that govern brain function and responses to injury.
基金supported by the Natural Science Research Project of Colleges and Universities in Anhui Province(Grant No.2023AH051180)the Open Research Project of Anhui Provincial Key Laboratory of Intelligent Geotechnics and Disaster Prevention(No.IGDP2025003)+2 种基金the Anhui Postdoctoral Scientific Research Program Foundation(No.2025B1064)the Open Fund for Engineering Research Center of Underground Mine Construction,Ministry of Education(JYBGCZX2022106)the Science and Technology Planning Project of Housing Urban and Rural Construction in Anhui Province(2022-YF019).
摘要Long-term,concealed leakage from aging urban pipelines degrades the mechanical properties of unsaturated soils,increasing the likelihood of engineering failures when disturbed by shield tunneling.This study systematically investigates the coupled eff ects of long-term pipeline leakage and shield tunneling in unsaturated clay strata.Test materials were collected through fi eld sampling,and the fi lter paper and temperature–humidity methods were used to measure the suction of unsaturated clay,revealing quantitative relationships between water content and matric suction,total suction,and osmotic suction.Incorporating direct shear tests,the infl uence of suction on soil shear strength was analyzed,and a correlation model relating water content,saturation,suction,and shear strength was developed.The results show that matric and total suction decrease markedly as water content increases,whereas osmotic suction initially increases and then stabilizes with further increases in water content.Both cohesion and internal friction angle decrease with increasing water content,and matric suction dominates the contribution to cohesion under low water content conditions.Based on the saturation–shear strength correlation model,the strength characteristics of the formation aff ected by pipeline leakage were reconstructed,and a three-dimensional numerical model was developed to simulate the coupled effects of pipeline leakage and shield tunneling.The evolution of vertical stratum stress,plastic zone development,and pipeline stress induced by single-line and double-line tunneling was analyzed under various conditions,including small,medium,and large leakage scopes,and leakage lengths of 9 m,27 m,and 45 m.The results indicate that pronounced stress concentration zones develop in the stratum under largescale leakage,and the extent of the plastic zone increases markedly as the leakage scope expands.When the tunnel face approaches the pipeline invert,large-scale plastic deformation inclined toward the excavation face develops in the stratum,and the disturbance is substantially greater than that observed under small-scale leakage or single-line excavation.The fi ndings clarify the mechanical responses of strata and structures under coupled pipeline leakage and tunneling eff ects,providing a theoretical basis and technical support for risk assessment in similar engineering projects.
基金supported by the Shanghai Science and Technology Innovation Program under Grant(No.19DZ1201004).
摘要Large-diameter shield tunneling in composite strata presents significant challenges due to the heterogeneous mechanical properties,posing substantial risks to excavation safety.Existing research,however,provides limited insights into how specific layer configurations influence soil strength,failure mechanisms,and the soil arching effect.This study aims to bridge these knowledge gaps by systematically investigating the mechanical behaviors of sand–clay and sand–pebble composites,as well as their excavation-induced responses.Methodologically,we integrate laboratory triaxial tests on reconstituted composite specimens with 3-dimensional(3D)finite element simulations of the tunneling process.Key contributions of this work include:1)the identification of a critical clay layer thickness(20–40 mm)that governs the transition from interfacial slippage to bulging failure in sand–clay composites;2)the quantification of a progressive strength reduction(up to 14.52%)in sand–pebble composites as the sand layer shifts downward;and 3)a novel comparative analysis using a soil stress coefficient method,which reveals a more extensive destruction zone and a more fragile soil arching effect in sand–pebble strata,thereby indicating an elevated risk of collapse.These findings provide crucial insights into the performance of large-diameter shield tunnels in complex geological conditions and offer guidance for safer design and operational control.
基金supported by the National Key Research and Development Program of China(No.2022YFC3802302)the Project of Institute of Advanced Machines,Zhejiang University(No.KY202404-058).
摘要Shield tunneling is the method most commonly used for underground projects.Segment typesetting,which involves determining the optimal assembly point for each segment ring and sequentially assembling them into a complete tunnel,is a critical step in shield tunneling.Currently,this typesetting process relies heavily on the operator’s experience at construction sites,which does not guarantee quality.Furthermore,research focuses mainly on the commonly used 16-point segment typesetting,largely ignoring other segment types.In addition,the reliability of these studies in site applications remains unsatisfactory.To address these issues,we propose an intelligent method for segment typesetting using an artificial neural network(ANN)and transfer learning.Due to insufficient historical data for ANN training,a dataset creation method was devised based on the Monte Carlo method and manual annotation.An ANN model was then developed to typeset 16-point segments,with its hyperparameters optimized through Bayesian optimization.Subsequently,the trained model was adapted to other segment types via transfer learning,using 10-point segments as a case study.Based on the test set established in this study,our proposed method showed superior performance compared with several commonly used machine learning methods and a representative and well-validated segment typesetting method.It was also validated using real data collected from construction sites,achieving an accuracy of 93.75%for 16-point segments and 91.43%for 10-point segments,both of which significantly surpass the results from manual typesetting on-site.The proposed method achieves accurate,rapid,and intelligent segment typesetting,which is adaptable to various segment types.
基金National Key Research and Development Program of China(2024YFA1410700,2021YFA1200700)National Natural Science Foundation of China(62474065,T2222025,62174053)+3 种基金Natural Science Foundation of Chongqing(CSTB2024NSCQ-JQX0005)Shanghai Science and Technology Innovation Action Plan(24QA2702300,24YF2710400)National Postdoctoral Program(GZB20240225)Fundamental Research Funds for the Central Universities。
摘要Tunneling diodes hold significant promise for future rectification in the terahertz(THz)and visible light spectra,thanks to their femtosecond-scale transit-time tunneling capabilities.In this work,TiN/ZnO/Pt fin tunneling diodes(FTDs)with tunneling distances of 10 and 5 nm are fabricated,which demonstrate remarkable characteristics,including ultrahigh asymmetry(1.6×104for 10 nm device and 1.6×103 for 5 nm device),high responsivity(25.3 V-1 for 10 nm device and 28.3 V-1 for 5 nm device)at zero bias,surpassing the thermal voltage limit of conventional Schottky diodes,and low turn-on voltage(Von)of approximately 100 mV for both devices,making them ideal for power conversion applications.Using technology computer-aided design(TCAD)simulations,the observed asymmetry in electronic transport is attributed to the transition between Fowler-Nordheim tunneling(FNT)and trap-assisted tunneling(TAT)under different biasing conditions,as illustrated by the corresponding energy band profiles.Furthermore,by integrating the FTDs,a rectifier bridge circuit is designed and exhibits full-wave rectification behavior,validated through SPICE simulations for THz-band operations.This advancement offers a highly efficient solution for THz-band energy conversion and effective detection applications.
基金support of the National Natural Science Foundation of China(Grant Nos.52179116 and 51991392)the support of Key Deployment Projects of Chinese Academy of Sciences(Grant No.ZDRW-ZS-2021-3).
摘要Shield tunneling in saturated ground poses challenges due to the potential risk of ground collapse resulting from seepage force and inadequate support pressure.This study employed a laboratory model test and a theoretical validation to elucidate the mechanisms of face failure and subsequent ground collapse in saturated ground during slurry pressure-balanced shield(SPBS)tunneling operations.A slurry circulation system was developed to ensure steady shield tunneling and to replicate the phenomena of ground collapse.Investigations into shield tunneling parameters and ground responses,including soil pressure,pore water pressure,and surface subsidence,were conducted to understand the mechanisms of face failure and subsequent ground collapse.The theoretical solution for the critical collapse pressure of the tunnel face,based on the rotational failure mechanism,was validated through the comparison with the experimentally determined critical collapse pressure.The results indicate that:(1)appropriate adjustments of tunneling parameters are crucial for promoting filtercake formation,maintaining chamber pressure,and minimizing ground subsidence;(2)chamber pressure,soil pressure,pore water pressure,and ground subsidence are closely correlated with shield tunneling parameters and the formation of filter cake;(3)ground collapse follows a continuous failure mode due to the destruction of filtercake and the decrease in chamber pressure;(4)the soil pressure at the cutterhead is more sensitive to disturbances from shield tunneling than chamber pressure;and(5)experimentally determined critical collapse pressures is consistent with the theoretical solution of limit analysis.
基金The support provided by the Natural Science Foundation of Hubei Province(Grant No.2021CFA081)the National Natural Science Foundation of China(Grant No.42277160)the fellowship of China Postdoctoral Science Foundation(Grant No.2022TQ0241)is gratefully acknowledged.
摘要The big data generated by tunnel boring machines(TBMs)are widely used to reveal complex rock-machine interactions by machine learning(ML)algorithms.Data preprocessing plays a crucial role in improving ML accuracy.For this,a TBM big data preprocessing method in ML was proposed in the present study.It emphasized the accurate division of TBM tunneling cycle and the optimization method of feature extraction.Based on the data collected from a TBM water conveyance tunnel in China,its effectiveness was demonstrated by application in predicting TBM performance.Firstly,the Score-Kneedle(S-K)method was proposed to divide a TBM tunneling cycle into five phases.Conducted on 500 TBM tunneling cycles,the S-K method accurately divided all five phases in 458 cycles(accuracy of 91.6%),which is superior to the conventional duration division method(accuracy of 74.2%).Additionally,the S-K method accurately divided the stable phase in 493 cycles(accuracy of 98.6%),which is superior to two state-of-the-art division methods,namely the histogram discriminant method(accuracy of 94.6%)and the cumulative sum change point detection method(accuracy of 92.8%).Secondly,features were extracted from the divided phases.Specifically,TBM tunneling resistances were extracted from the free rotating phase and free advancing phase.The resistances were subtracted from the total forces to represent the true rock-fragmentation forces.The secant slope and the mean value were extracted as features of the increasing phase and stable phase,respectively.Finally,an ML model integrating a deep neural network and genetic algorithm(GA-DNN)was established to learn the preprocessed data.The GA-DNN used 6 secant slope features extracted from the increasing phase to predict the mean field penetration index(FPI)and torque penetration index(TPI)in the stable phase,guiding TBM drivers to make better decisions in advance.The results indicate that the proposed TBM big data preprocessing method can improve prediction accuracy significantly(improving R2s of TPI and FPI on the test dataset from 0.7716 to 0.9178 and from 0.7479 to 0.8842,respectively).
基金Funded by the National Natural Science Foundation of China(Nos.52378394 and 52078189)the Fundamental Research Funds for the Central Universities(No.B230201037)。
摘要In the process of backfill grouting for shield tunneling,the hardening and shrinkage of the slurry can easily lead to ground settlement,whereas the secondary grouting prolongs the construction period and increases the engineering cost generally.In this study,a new but low-cost strategy to resist the shrinkage of backfill grouting using calcium a sulphoaluminate micro-expansion agent(CAS-H)is innovatively proposed.With the addition of CAS-H at 8%and 20%,the lateral expansion rate of the backfill grouting increased to 1%and 3%at 28 d,respectively.On the contrary,that of the backfill grouting without CAS-H was only about-4%.Simultaneously,CAS-H also increased the density and the impermeability of the hardened slurry significantly.Other essential properties such as the bleeding rate,setting time,fluidity,consistency,strength after hardening and other indicators of the backfill grouting still satisfied the related engineering standards.From the perspective of microstructure,the appearance of C-S-H gel,C4AH13,Aft,Afm and Ca(OH)2 was accelerated by CASH,filling the pores and making the microstructure denser.The hydration heat curve and thermodynamic simulation(GEMS)further validated the other essential beneficial effects of CAS-H,and the cumulative hydration heat of 72 h was calculated to be increased by 29.6%.The hydration degree of cement clinker(C3S,C2S,C3A,C4AF,etc)also increased,which was believed the key reason for inhibiting the shrinkage of the background grouting using the expansion agent-activated strategy.
摘要BACKGROUND Esophageal epiphrenic diverticulum(ED)often occurs in patients with esophageal motility disorders,and its incidence rate is approximately 3%-7%in achalasia(AC).A distinct septum has been observed in some patients with AC coexisting with ED during gastroscopy.Digestive endoscopic tunnel technique has emerged as a promising therapeutic approach for these patients.AIM To evaluate the therapeutic effectiveness of specific treatment methods for ED with septum(ED+S)or ED without septum(ED-S)in AC patients.METHODS This retrospective cohort study included 31 patients with AC and esophageal diverticula(21 patients with septum and 10 patients without septum)between January 2016 and January 2025.In ED+S group,submucosal tunneling myotomy combined with diverticular septotomy was performed,while patients in the ED-S group underwent submucosal myotomy alone.The Eckardt scores before and after surgery were compared to evaluate symptom relief and clinical success.The Gastroesophageal Reflux Disease Questionnaire(GERD-Q)score and gastroscopy findings were used to evaluate postoperative gastroesophageal reflux.RESULTS The corresponding operation steps were completed in both groups,with a technical success rate of 100%.We successfully followed up with 18 and 10 patients in the ED+S and ED-S group,with a median follow-up period of 2.5 years and 3.0 years,respectively.The postoperative Eckardt scores[median(interquartile range)]were significantly lower in both groups compared with preoperative scores[ED+S group:6.0(4.0-8.0)vs 0(0-2.0),P<0.05;ED-S group:6.0(3.75-8.25)vs 1.0(0-3.0),P<0.05].The clinical success rates(Eckardt score≤3)were 88.9%and 90.0%,respectively.The GERD-Q score was used to evaluate postoperative gastroesophageal reflux,and 3 patients(3/18,16.7%)in ED+S group and 2 patients(2/10,20%)in ED-S group experienced symptomatic reflux(GERD-Q score≥8).CONCLUSION In AC patients with ED+S,submucosal tunneling myotomy with diverticular septotomy can achieve good therapeutic effects.When there is no obvious septum,submucosal tunneling myotomy is an effective method.
基金supported by the National Natural Science Foundation of China(Grant Nos.T2394475,T2394470,T2394471,and 12174129)the China Postdoctoral Science Foundation(Grant No.2023M741269).
摘要Altermagnets,a class of unconventional antiferromagnets with non-relativistic spin-splitting,offer promising potential for antiferromagnetic spintronic devices.While many altermagnets are limited by either low magnetic transition temperatures or weak spin splitting,the recently discovered metal CrSb,with high N′eel temperature(TN=710 K)and significant spin-splitting due to its unique spin space group,provides a robust platform for remarkable tunneling magnetoresistance(TMR)in collinear all-antiferromagnetic tunnel junctions(AATJs).This study systematically investigates the spin-polarized Fermi surface of CrSb and spin-dependent electron transport in CrSb-based AATJs.The CrSb/β-InSe/CrSb junction with a three-monolayer InSe barrier exhibits a TMR ratio of approximately 290%,with energy-dependent analysis revealing TMR ratios that may exceed 850%when considering the shift of the Fermi energy.We also demonstrate the angle-dependent TMR of CrSb-based AATJs by adjusting N′eel vector orientations.Our findings might provide strong theoretical support for CrSb as a versatile building block for all-antiferromagnetic memory devices.
基金financially supported by the National Natural Science Foundation of China(Grant No.52078334)the National Key Research and Development Program of China(Grant No.2017YFC0805402)the Tianjin Research Innovation Project for Postgraduate Students(Grant No.2021YJSB141).
摘要The deformation caused by tunnel excavation is quite important for safety,especially when it is adjacent to the existing tunnel.Nevertheless,the investigation of deformation characteristics in overlapped curved shield tunneling remains inadequate.The analytical solution for calculating the deformation of the ground and existing tunnel induced by overlapped curved shield tunneling is derived by the Mirror theory,Mindlin solution and Euler-Bernoulli-Pasternak model,subsequently validated through both finite element simulation and field monitoring.It is determined that the overcutting plays a crucial role in the ground settlement resulting from curved shield tunneling compared to straight shield tunneling.The longitudinal settlement distribution can be categorized into five areas,with the area near the tunnel surface experiencing the most dramatic settlement changes.The deformation of the existing tunnel varies most significantly with turning radius compared to tunnel clearance and grouting pressure,especially when the turning radius is less than 30 times the tunnel diameter.The tunnel crown exhibits larger displacement than the tunnel bottom,resulting in a distinctive‘vertical egg'shape.Furthermore,an optimized overcutting mode is proposed,involving precise control of the extension speed and angular velocity of the overcutting cutter,which effectively mitigates ground deformation,ensuring the protection of the existing tunnel during the construction.
基金supported by the Scientific Research Fund of Hunan Provincial Education Department(Grant No.24A0248)the National Key Research and Development Program“National Quality Infrastructure System”Special Project(Grant No.2024YFF0617900)the Hefei Minglong Electronic Technology Co.,Ltd.(Grant Nos.2024ZKHX293,2024ZKHX294,and 2024ZKHX295).
摘要Due to their biological interpretability,memristors are widely used to simulate synapses between artificial neural networks.As a type of neural network whose dynamic behavior can be explained,the coupling of resonant tunneling diode-based cellular neural networks(RTD-CNNs)with memristors has rarely been reported in the literature.Therefore,this paper designs a coupled RTD-CNN model with memristors(RTD-MCNN),investigating and analyzing the dynamic behavior of the RTD-MCNN.Based on this model,a simple encryption scheme for the protection of digital images in police forensic applications is proposed.The results show that the RTD-MCNN can have two positive Lyapunov exponents,and its output is influenced by the initial values,exhibiting multistability.Furthermore,a set of amplitudes in its output sequence is affected by the internal parameters of the memristor,leading to nonlinear variations.Undoubtedly,the rich dynamic behaviors described above make the RTD-MCNN highly suitable for the design of chaos-based encryption schemes in the field of privacy protection.Encryption tests and security analyses validate the effectiveness of this scheme.
基金Project supported by the National Natural Science Foundation of China(Nos.11972203 and 11572162)the Science and Technology Innovation 2025 Major Project of Ningbo City of China(No.2022Z209)Ningbo Key Technology Breakthrough Plan Project of“Science and Technology Innovation Yongjiang 2035”(No.2024Z256)。
摘要Carbon nanotubes(CNTs)have garnered great attention in recent years due to their outstanding electrical,thermal,and mechanical properties.The incorporation of small amounts of CNTs in polymers can substantially improve the sensitivity of the polymer's electrical conductivity.This paper presents a modified Maxwell model to evaluate the electrical conductivity of CNTs-filled polymer composites by introducing a transition zone to account for the tunneling effect.In this modified Maxwell model,the CNTs-filled polymer composite is modeled as a three-phase composite,consisting of a matrix(polymer),inclusions(CNTs),and a transition zone(tunneling zone).The effective electrical conductivity(EEC)of the composite is calculated based on the volume fractions and electrical conductivities of the matrix,inclusions,and transition zone.The model's validity is confirmed through the use of available test data,which demonstrates its capability to accurately capture the nonlinear conductivity behavior observed in CNTs-polymer composites.This study offers valuable insights into the design of high-performance conductive polymer nanocomposites,and enhances the understanding of electrical conduction mechanisms in CNT-dispersed polymer composites.
基金Supported by Sichuan Provincial Administration of Traditional Chinese Medicine(No.2024MS471)。
摘要Dear Editor,We present the reported case of steroid-induced glaucoma(SIG)treated by trabeculectome tunneling trabeculoplasty(3T).The 3T procedure is a new minimally invasive glaucoma surgery designed to protect and enhance the function of the trabecular meshwork(TM)while reducing resistance to outflow of atrial fluid[1].A 20-year-old male patient experienced an elevation in intraocular pressure(IOP)and subsequently progressed to SIG after continuously using tobramycin-dexamethasone eyedrops for one year.Trabeculotomy of the right eye was performed.
基金financially supported by the National Natural Science Foundation of China(No.22272039)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB36000000)+1 种基金the Youth Program of the Liaoning Education Department(No.LJKQZ20222280)the Jilin Chinese Academy of Sciences-Yanshen Technology Co.,Ltd.
摘要The assembly behaviors of two low-symmetric carboxylic acid molecules(50-(6-carboxynaphthalen-2-yl)-[1,10:30,100-triphenyl]-3,400,5-tricarboxylic acid(CTTA)and 30,50-bis(6-carboxynaphthalen-2-yl)-[1,10-biphenyl]-3,5-dicarboxylic acid(BCBDA))containing naphthalene rings on graphite surfaces have been investigated using scanning tunneling microscopy(STM).The transformation of nanostructures induced by the second components(EDA and PEBP-C4)have been also examined.Both CTTA and BCBDA molecules self-assemble at the 1-heptanoic acid(HA)/HOPG interface,forming porous network structures.The dimer represents the most elementary building unit due to the formation of double hydrogen bonds.Moreover,the flipping of naphthalene ring results in the isomerization of BCBDA molecule.The introduction of carboxylic acid derivative EDA disrupts the dimer,which subsequently undergoes a structural conformation to form a novel porous structure.Furthermore,upon the addition of pyridine derivative PEBP-C4,N–H⋯O hydrogen bonds are the dominant forces driving the three coassembled structures.We have also conducted density functional theory(DFT)calculations to determine the molecular conformation and analyze the mechanisms underlying the formation of nanostructures.
基金Project supported by the National Key Research and Development Program of China(Grant No.2020YFB0408000)Guangdong Provincial Department of Science and Technology(Grant No.2019TQ05C778)Guangdong Basic and Applied Basic Research Foundation(Grant No.2019A1515011639)。
摘要The injection of electrical charge from an electrode into organic semiconductors directly influences the performance of organic optoelectronic devices.However,our understanding of the mechanisms behind charge injection remains incomplete.In this study,we explored the hole injection from an indium tin oxide(ITO)electrode into a hole transport layer(HTL)by employing various organic interlayers(ILs)with different ionization potentials(IPs).It was demonstrated that using O2plasma treatment onto an ITO surface and incorporating an interlayer(IL)with a higher IP between the ITO electrode and the HTL can substantially increase the hole current density.This improvement leads to the achievement of barrier-free injection and the establishment of space-charge-limited current.We propose two synergistic mechanisms of spatial electron tunneling that govern the injection characteristics:electron tunneling from the HTL across the IL to the electrode that establishes an electrostatic equilibrium with a zero-injection barrier and an electric-field-induced spatial tunneling effect that occurs during device operation with applying bias.This research offers a strategy to achieve spacecharge-limited hole current and provides an explanatory framework for understanding the underlying physics of charge injection.
基金supported by the National Natural Science Foundation of China(Grant No.12204482),the Natural Science Foundation of Shanxi Province(Grant No.202403021221164)Higher education teaching reform and innovation project of Shanxi Province(Grant No.J20220480)the Natural Science Foundation of Hainan Province(Grant Nos.525MS080 and 225MS076).
摘要Lead-free halide double perovskites(HDPs)provide a promising platform for high-performance thermoelectric due to their intrinsically ultralow lattice thermal conductivity kl.In this study,we comprehensively investigate the lattice dynamics of Cs2AgInCl6using first-principles calculations.By explicitly incorporating four-phonon scattering and wave-like phonon tunneling,we predict a klof 0.52 W·m-1·K-1with a remarkably weak temperature dependence(kl∝T-0.31),confirming the intrinsically glass-like ultralow klin Cs2AgInCl6.Further analyses reveal that hierarchical chemical bonds,loosely bonded rattling atoms and a mixed crystalline-liquid state collectively induce strong anharmonicity manifested in flat phonon modes.These factors dominate the glass-like thermal transport component of kl.This work uncovers the underlying mechanisms governing the unusual thermal transport properties in lead-free HDPs and offers guiding principles for designing novel energy conversion technologies.
基金supported by the Natural Science Basic Research Program of Shaanxi Province(No.2019JLZ-13)the National Key R&D Program of China(No.2022YFC3802305)+1 种基金the National Natural Science Foundation of China(No.52105074)the Open Project of State Key Laboratory of Shield Machine and Boring Technology(No.SKLST-2021-K02),China.
摘要In tunnel construction with tunnel boring machines(TBMs),accurate knowledge of disc-cutter failure states is crucial to ensure efficient operation and prevent delays and cost overruns.This study investigates the influence of disc-cutter partial wear on tunneling parameters and proposes a novel method for discriminating partial-wear ratio based on a stacking ensemble model.The time-domain features of torque and thrust,including the average value and standard deviation,are analyzed through a series of scaled-down experimental tests on partial wear.Torque and thrust values will increase when a disc cutter is trapped and partially worn.The impact of partial-wear ratio on tunneling parameters appears to be more significant than partial-wear depth.A total of 40 features are selected from the time domain,frequency domain,and time-frequency domain to describe the torque and thrust.The relationships between these features and the partial-wear ratio are analyzed using the Pearson coefficient and Copula entropy.The results reveal that,except for the form factor in the time-domain features,the remaining features exhibit certain linear or non-linear correlations with the partial-wear ratio.Lastly,the proposed model successfully achieves the discrimination of the partial-wear ratio and outperforms other commonly used models in terms of overall classification accuracy and differentiation capability in different categories.This research provides effective support for monitoring and health management of disc-cutter failure states.